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Publicaciones

2024
  • Jimenez, S., Favela Vara, J., Cervantes, L., Ramirez-Noriega, A., & Juárez Ramírez, R. (2024). Evaluating smart speakers as assistants for informal caregivers of people with dementia. Universal Access in the Information Society. doi: 10.1007/s10209-024-01091-5. (ID: 29621)
  • Marquez, M., Cruz Sandoval, D., Favela Vara, J., & Muchaluat-Saade C, D. (2024). Design and usability evaluation of the EvaSIM simulator for a socially assistive robot. Multimedia Tools and Applications. doi: 10.1007/s11042-024-18338-1. (ID: 29584)
2023
  • Feoktistov, A., Edelev, A., Chernykh, A., Gorsky, S., Basharina, O., & Fereferov, E. (2023). An Approach to Implementing High-Performance Computing for Problem Solving in Workflow-Based Energy Infrastructure Resilience Studies. Computation, 11(12), 243. doi: 10.3390/computation11120243. (ID: 29296)
  • Nesmachnow , S., & Chernykh, A. (2023). The Impact of the COVID-19 Pandemic on the Public Transportation System of Montevideo, Uruguay: A Urban Data Analysis Approach. Urban Science, 7(4), 113. doi: 10.3390/urbansci7040113. (ID: 29297)
  • Ibarra Vazquez, G., Ramírez Montoya, M. S., Buenestado Fernández, M., & Olague Caballero, G. (2023). Predicting open education competency level: A machine learning approach. HELIYON, 9(11), 1-15. doi: 10.1016/j.heliyon.2023.e20597. (ID: 29035)
  • Valdez Gastelum, M. C., Alvarez Molina, K., Castro Quiroa, L. A., & Tentori Espinosa, M. E. (2023). Zens: Designing and Evaluating a Movement Sonification Interface to Alter Body and Flexibility Perception in Yoga. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 178. doi: 10.1016/j.ijhcs.2023.103084. (ID: 28708)
  • Nesmachnow , S., Massobrio, R., Guridi, S., Olmedo, S., & Chernykh, A. (2023). Big Data Analysis for Travel Time Characterization in Public Transportation Systems. Sustainability, 15(19), 14561. doi: 10.3390/su151914561. (ID: 29295)
  • Olague Caballero, G., Pineda Núñez, R., Ibarra Vazquez, G., Olague, M., Martínez Navarro, A., Bakshi, S., Vargas Vega, J. N., & Reducindo, I. (2023). Adversarial Attacks Assessment of Salient Object Detection via Symbolic Learning. IEEE Transactions on Emerging Topics in Computing, 1-14. doi: 10.1109/TETC.2023.3316549. (ID: 29032)
  • Pulido Gaytan, L. B., Chernykh, A., Leprevost, F., Bouvry, P., & Goldman, A. (2023). Toward Understanding Efficient Privacy-Preserving Homomorphic Comparison. IEEE Access, 11, 102189-102206. doi: 10.1109/ACCESS.2023.3315655. (ID: 29291)
  • Guerrero Vázquez, K., Del Río, G., & Brizuela Rodríguez, C. A. (2023). Cell-penetrating peptides predictors: A comparative analysis of methods and datasets. Molecular Informatics, 42(11), e202300104. doi: 10.1002/minf.202300104. (ID: 29370)
  • Jiménez Solorio, J. M., Becerra Duran, I., & Ruiz Lopez, U. (2023). Toward inertial position tracking for head-mounted displays: a dataset and a deep learning approach evaluation. VIRTUAL REALITY. doi: 10.1007/s10055-023-00831-x. (ID: 28840)
  • García González, L. A., Marrero Ponce, Y., Brizuela Rodríguez, C. A., & García Jacas, C. R. (2023). Overproduce and select, or determine optimal molecular descriptor subset via configuration space optimization? Application to the prediction of ecotoxicological endpoints. Molecular Informatics, 42(6), e202200227. doi: 10.1002/minf.202200227. (ID: 29442)
  • Marrero Ponce, Y., Agüero-Chapin,, G., & Antunes, A. (2023). A 2022 Update on Computational Approaches to the Discovery and Design of Antimicrobial Peptides. Antibiotics, 12(1011). doi: 10.3390/antibiotics12061011. (ID: 28800)
  • Marrero Ponce, Y., Delgado, A., Vera-Villalobos, J., Paz, J. L., Lossada, C., Hurtado-León , M. L., Toro-Mendoza, J., Alvarado, Y. J., & González-Paz, L. (2023). Macromolecular crowding impact on anti-CRISPR AcrIIC3/NmeCas9 complex: Insights from scaled particle theory, molecular dynamics, and elastic networks models. INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES. doi: 10.1016/j.ijbiomac.2023.125113. (ID: 28801)
  • Babenko, M., Golimblevskaia, E., Chernykh, A., Shiriaev, E., Ermakova, T., Pulido Gaytan, L. B., VALUEV, G., Avetisyan, A., & Gagloeva, L. A. (2023). A Comparative Study of Secure Outsourced Matrix Multiplication Based on Homomorphic Encryption. Big Data and Cognitive Computing, 7(2), 84. doi: 10.3390/bdcc7020084. (ID: 29301)
  • Marrero Ponce, Y., Martín, O., Leyva, Y., Suarez-Lezcano, j., & Perez-Castillo, Y. (2023). From a coenzyme-like mechanism to homochirality. BioSystems, 227-228(104904), 4. doi: 10.1016/j.biosystems.2023.104904. (ID: 28793)
  • Marrero Ponce, Y., Agüero-Chapin,, G., Antunes, A., Mora, J. R., Pérez, N., Contreras-Torres , E., Valdes-Martini, J. R., Martinez-Rios, F., & Zambrano, C. H. (2023). Complex Networks Analyses of Antibiofilm Peptides: An Emerging Tool for Next-Generation Antimicrobials¿ Discovery. Antibiotics, 12. doi: 10.3390/antibiotics12040747. (ID: 28795)
  • Gladkov, A., Shiriaev, E., Chernykh, A., deryabin, m., & Babenko, M. (2023). DT-RRNS: Routing Protocol Design for Secure and Reliable Distributed Smart Sensors Communication Systems. Sensors, 23(7), 3738. doi: 10.3390/s23073738. (ID: 29294)
  • VALUEV, G., VALUEVA, M., Babenko, M., & Chernykh, A. (2023). Digital Filter Architecture Based on Modified Winograd Method F(2× 2, 5× 5) and Residue Number System. IEEE Access, 11, 26807-26819. doi: 10.1109/ACCESS.2023.3258689. (ID: 29289)
  • Olague Caballero, G., Olague, M., Ibarra Vazquez, G., Reducindo, I., Barrera Román, A., Martínez Navarro, A., & Briseño Cervantes, J. L. (2023). Modeling Hierarchical Architectures with Genetic Programming and Neuroscience Knowledge for Image Classification Through Inferential Knowledge. In Trujillo, Winkler, Silva, and Banzhaf. (Eds.), Genetic Programming Theory and Practice XIX (pp. 141-166). Springer. (ID: 29036)
  • Martínez García, A. I., Hernández Lara, M., & Caro Corrales, K. (2023). Technology for supporting emotion regulation of individuals with developmental disabilities: A scoping review. Research in Developmental Disabilities. doi: 10.1016/j.ridd.2023.104467.. (ID: 28733)
  • Ochoa Montiel, M. R., Sossa Azuela, J. H., Olague Caballero, G., & Sánchez López, C. (2023). Automatic Recognition of Leukemia AML Using Evolutionary Vision. Computación y Sistemas, 27(1), 247-256. doi: 10.13053/cys-27-1-4536. (ID: 29033)
  • Astorga Carrillo, M., Cruz Sandoval, D., & Favela Vara, J. (2023). A Social Robot to Assist in Addressing Disruptive Eating Behaviors by People with Dementia. ROBOTICS, 12(1). doi: 10.3390/robotics12010029. (ID: 28702)
  • Martínez García, A. I., Hernández Lara, M., & Caro Corrales, K. (2023). Using Emotion4Down: Evaluating the Design of a Serious Video Game for Supporting Emotional Awareness with People with Intellectual Disabilities. INTERACTING WITH COMPUTERS. doi: 10.1093/iwc/iwac044. (ID: 28101)
  • Meléndrez Carballo, G., Guerrero Vázquez, K., García González, L. A., Del Río, G., & Brizuela Rodríguez, C. A. (2023). Embedded-AMP: A Multi-Thread Computational Method for the Systematic Identification of Antimicrobial Peptides Embedded in Proteome Sequences. Antibiotics, 12(1), 139. doi: 10.3390/antibiotics12010139. (ID: 29369)
  • Ruiz Lopez, U. (2023). Time-optimal Escape of an Omnidirectional Agent from the Field of View of a Differential Drive Robot. International Journal of Control, Automation, and Systems, 21(1). doi: 10.1007/s12555-021-0686-8. (ID: 28366)
2022
  • Monarca Pintle, G. I., Tentori Espinosa, M. E., & Cibrian Robles, F. L. (2022). Understanding the musical interaction of children with autism spectrum disorder using elastic display. Personal and Ubiquitous Computing. doi: 10.1007/s00779-022-01703-y. (ID: 28413)
  • Makovetskii, A., Voronin, S., Kober, V., & Voronin, A. (2022). Coarse Point Cloud Registration Based on Variational Functionals. Mathematics, 11(1), 27. doi: 10.3390/math11010035. (ID: 28377)
  • Kober, V., Diaz Ramírez , V., Gonzalez Ruiz, M., & Juarez Salazar, R. (2022). Stereo Image Matching Using Adaptive Morphological Correlation. Sensors, 22(23), 13. doi: 10.3390/s22239050. (ID: 28128)
  • Jimenez, S., Favela Vara, J., Quezada, A., Raj, R., & Juárez Ramírez, J. R. (2022). Towards Conversational Agents to support Informal Caregivers of People with Dementia: Challenges and Opportunities. PROGRAMMING AND COMPUTER SOFTWARE, 48, 606-613. doi: 10.1134/S036176882208014X. (ID: 28363)
  • VALUEVA, M., VALUEV, G., Babenko, M., Chernykh, A., & Cortés Mendoza, J. M. (2022). Method for Convolutional Neural Network Hardware Implementation Based on a Residue Number System. PROGRAMMING AND COMPUTER SOFTWARE, 48, 735-744. doi: 10.1134/S0361768822080217. (ID: 28705)
  • Gladkov, A., Kuchukov, V., Babenko, M., Chernykh, A., Berezhnoy, V., & Drozdov, A. Y. (2022). Modified Error Detection and Localization in the Residue Number System. PROGRAMMING AND COMPUTER SOFTWARE, 48, 598-605. doi: 10.1134/S0361768822080126. (ID: 28704)
  • González-Castañeda, Y., Marrero Ponce, Y., Guerra, J., Echevarría-Díaz, Y., Pérez, N., Pérez-Giménez, F., Simonet, A., Macías, F., Nogueiras, C., Olazabal, E., & Serrano, H. (2022). Computational discovery of novel anthelmintic natural compounds from Agave Brittoniana trel. Spp. Brachypus. Revista temporal DEP, 7(4), 53. doi: 10.21931/RB/2022.07.04.53. (ID: 28300)
  • Marrero Ponce, Y., Ayala-Ruano, S., Aguilera Mendoza, L., Pérez, N., Agüero-Chapin,, G., Antunes, A., & Cristina Aguilar, A. (2022). Network Science and Group Fusion Similarity-Based Searching to Explore the Chemical Space of Antiparasitic Peptides. ACS Omega. doi: 10.1021/acsomega.2c03398. (ID: 28190)
  • Vershkov, N., Babenko, M., Chernykh, A., Kuchukov, V., Kucherov, n., Kuchukova, N. N., & Drozdov, A. Y. (2022). Optimization of Artificial Neural Networks using Wavelet Transforms. PROGRAMMING AND COMPUTER SOFTWARE, 48(6), 376-384. doi: 10.1134/S036176882206007X. (ID: 28226)
  • Ochoa Montiel, M. R., Chan Ley, M. A., Sossa Azuela, J. H., Olague Caballero, G., & Morales López, F. E. (2022). Leukemia recognition with evolutionary vision and knowledge transfer. International Journal of Combinatorial Optimization Problems and Informatics, 13(4), 9. (ID: 28112)
  • Cabrera, N., Cuesta, S. A., Mora, J. R., Paz, J. L., Márquez, E. A., Espinoza-Montero, P. J., Marrero Ponce, Y., Pérez, N., & Contreras-Torres , E. (2022). Searching glycolate oxidase inhibitors based on QSAR, molecular docking, and molecular dynamic simulation approaches. Scientific Reports, 12, 19969. doi: 10.1038/s41598-022-24196-4. (ID: 28193)
  • VALUEVA, M., VALUEV, G., Babenko, M., Chernykh, A., & Cortés Mendoza, J. M. (2022). Method for Convolutional Neural Network Hardware Implementation Based on a Residue Number System. Proceedings of the Institute for System Programming of the RAS, 34(3), 61-74. doi: 10.15514/ISPRAS-2022-34(3)-5. (ID: 28254)
  • Ruchay, A., Kober, V., Dorofeev, K., Kolpakov, V., Gladkov, A., & Guo, H. (2022). Live Weight Prediction of Cattle Based on Deep Regression of RGB-D Images. Agriculture, 12(11), 17. doi: 10.3390/agriculture12111794. (ID: 28129)
  • Olague Caballero, G., Menéndez Clavijo, J. A., Olague, M., Ocampo, A., Ibarra Vazquez, G., Ochoa Montiel, M. R., & Pineda Núñez, R. (2022). Automated Design of Salient Object Detection Algorithms with Brain Programming. Applied Sciences, 12(10), 32. doi: 10.3390/app122010686. (ID: 28097)
  • Trejo Sánchez, J. A., Madera Ramírez, F., Fernández Zepeda, J. A., López Martínez, J. L., & Flores Lamas, A. (2022). A fast approximation algorithm for the maximum 2-packing set problem on planar graphs. Optimization Letters. doi: 10.1007/s11590-022-01939-w. (ID: 27979)
  • García Jacas, C. R., García González, L. A., Martinez Rios, F., Tapia Contreras, I. P., & Brizuela Rodríguez, C. A. (2022). Handcrafted versus non-handcrafted (self-supervised) features for the classification of antimicrobial peptides: complementary or redundant?. BRIEFINGS IN BIOINFORMATICS. doi: 10.1093/bib/bbac428. (ID: 28018)
  • Contreras Torres, E., Marrero Ponce, Y., Teran, J., Aguero Chapin, G., Antunes, A., & García Jacas, C. R. (2022). Fuzzy spherical truncation-based multi-linear protein descriptors: From their definition to application in structural-related predictions. Frontiers in Chemistry. doi: 10.3389/fchem.2022.959143. (ID: 28027)
  • Marrero Ponce, Y., González-Paz, L., Lossada, C., Hurtado-León , M. L., Vera-Villalobos, J., Paz, J. L., Coll, D. S., Jeffreys, L. N., & Alvarado, Y. J. (2022). Thermodynamics and Conformational Dynamics of Primer Nucleotide Sequences Associated with Monkeypox Virus (MpxV): Comparative Analysis of Stability and Specificity with a Biophysical-Computational Approach. BIOINTERFACE RESEARCH IN APPLIED CHEMISTRY, 13(5). (ID: 28794)
  • Del Río, G., Trejo Perez, M., & Brizuela Rodríguez, C. A. (2022). Antimicrobial peptides with cell-penetrating activity as prophylactic and treatment drugs. BIOSCIENCE REPORTS, 42(9), BSR20221789. doi: 10.1042/BSR20221789. (ID: 28365)
  • Reducindo, I., & Olague Caballero, G. (2022). Cadena de preservación digital resiliente: una aproximación desde la programación genética. In Nelson Javier Pulido Daza Adriana Mata Puente (Eds.), El documento digital: aspectos para garantizar su integridad por la ciudadanía (pp. 103-132). Universidad Autónoma de San Luis Potosí. (ID: 28172)
  • López Nava, I. H., Rodríguez, M., García Vázquez, J. P., Pérez San Pablo, A. I., Quiñones Urióstegui, I., Meneses Peñaloza, A., Castillo Topete, V., Cuaya Simbro, G., Armenta, J., Martínez Rebollar, A., Sanchez, W., Caro Corrales, K., Martínez García, A. I., & Favela Vara, J. (2022). Current state and trends of the research in exergames for the elderly and their impact on health outcomes: a scoping review. Journal of Ambient Intelligence and Humanized Computing, 2022, 1-33. doi: 10.1007/s12652-022-04364-0. (ID: 27997)
  • Makovetskii, A., Voronin, S., Kober, V., & Voronin, A. (2022). Registration Algorithm for Non-congruent Point Clouds. Optoelectronics, Instrumentation and Data Processing, 58(5), 9. doi: 10.3103/S8756699022050090. (ID: 28424)
  • Peralta Blanco, R., Becerra Duran, I., Ruiz Lopez, U., & Murrieta-Cid, R. (2022). A methodology for generating driving styles for autonomous cars. Journal of Intelligent Transportation Systems. doi: 10.1080/15472450.2022.2109417. (ID: 27837)
  • Hernández Valencia, B., Castro Chacón, J. H., Reyes Ruiz, M., Lehner, M. J., Guerrero, C. A., Silva, J. S., Hernández Águila, J. B., Alvarez Santana, F. I., Sánchez, E., Nuñez, J. M., Calvario Velásquez, L. T., Figueroa, L., Huang, C. K., Wang, S., Alcock, C., Chen, W. P., Granados Contreras, A. P., Geary, J. C., Cook, K. H., Kavelaars, J. J., Norton, T., Szentgyorgyi, A., Yen, W. L., Zhang, Z. W., & Olague Caballero, G. (2022). Pattern Recognition Using SVM for the Classification of the Size and Distance of Trans-Neptunian Objects Detected by Serendipitous Stellar Occultations. Publications of the Astronomical Society of the Pacific, 134(1038), 15. doi: 10.1088/1538-3873/ac7f5c. (ID: 28113)
  • Chowdhury, D. P., Bakshi, S., Pero, C., Olague Caballero, G., & Sa, P. K. (2022). Privacy Preserving Ear Recognition System using Transfer Learning in Industry 4.0. IEEE Transactions on Industrial Informatics. (ID: 28102)
  • Agüero-Chapin,, G., Galpert-Cañizares, D., Domínguez-Pérez, D., Marrero Ponce, Y., Pérez-Machado, G., Teijeira, M., & Antunes, A. (2022). Emerging Computational Approaches for Antimicrobial Peptide Discovery. Antibiotics, 11, 936. doi: 10.3390/antibiotics11070936. (ID: 28198)
  • Olague Caballero, G. (2022). Commentary on "On the optimal placement of cameras for surveillance and the underlying set cover problem" [Applied Soft Computing, vol. 74, 2019, pages 133-153]. Applied Soft Computing, 126(9), 4. doi: 10.1016/j.asoc.2022.109299. (ID: 28103)
  • Lozano, E., Ruiz Lopez, U., Becerra Duran, I., & Murrieta-Cid, R. (2022). Surveillance and Collision-Free Tracking of an Aggressive Evader With an Actuated Sensor Pursuer. IEEE Robotics and Automation Letters, 7(3), 6854-6861. doi: 10.1109/LRA.2022.3178799. (ID: 27819)
  • Gomina, P., Kober, V., Karnaukhov, V., Mozerov, M., & Kober, A. (2022). Classification of breast abnormalities using deep learning. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 67(12), 5. doi: 10.1134/S1064226922120051. (ID: 28130)
  • Karnaukhov, V., Kober, V., Mozerov, M., & Zimina, V. (2022). Impainting by restoring image gradients. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 67(12). doi: 10.1134/S1064226922120063. (ID: 28135)
  • Ruchay, A., Kober, V., Dorofeev, K., Karnaukhov, V., & Mozerov, M. (2022). Segmentation of breast masses in digital mammography based on a deep convolutional neural network U-net. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 67(12), 11. doi: 10.1134/S106422692212018X. (ID: 28131)
  • Babenko, M., Chernykh, A., Pulido Gaytan, L. B., Avetisyan, A., Nesmachnow , S., Wang, X., & Granelli, F. (2022). Towards the sign function best approximation for secure outsourced computations and control. Mathematics, 10(12), 2006. doi: 10.3390/math10122006. (ID: 28212)
  • Sanchez Gallegos, D. D., Gonzalez Compean, J. L., Carretero, J., Marin, H., Chernykh, A., & Montella, R. (2022). PuzzleMesh: A puzzle model to build mesh of agnostic services for edge-fog-cloud. IEEE Transactions on Services Computing, 1 - 1. doi: 10.1109/TSC.2022.3175057. (ID: 28225)
  • Peña Morales, D., Chernykh, A., Dorronsoro, B., & Ruiz, P. (2022). A novel multi-objective optimization approach to guarantee equality of service and energy efficiency in a heterogeneous bus fleet system. ENGINEERING OPTIMIZATION. doi: 10.1080/0305215X.2022.2055007. (ID: 28213)
  • Ibarra Vazquez, G., Olague Caballero, G., Chan Ley, M. A., Puente Montejano, C. A., & Soubervielle Montalvo, C. (2022). Brain programming is immune to adversarial attacks: Towards accurate and robust image classification using symbolic learning. Swarm and Evolutionary Computation, 71(101059), 17. doi: 10.1016/j.swevo.2022.101059. (ID: 28104)
  • Maylin , R., Marrero Ponce, Y., Rodríguez, H., Agüero-Chapin,, G., Antunes, A., Aguilera-Mendoza, L., & Martinez-Rios, F. (2022). A Novel Network Science and Similarity-Searching-Based Approach for Discovering Potential Tumor-Homing Peptides from Antimicrobials. Antibiotics, 11, 401. doi: 10.3390/antibiotics11030401. (ID: 28199)
  • Ruchay, A., Kober, V., Dorofeev, K., Kolpakov, V., Dzhulamanov, K., Kalschikov, V., & Guo, H. (2022). Comparative analysis of machine learning algorithms for predicting live weight of Hereford cows. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 195, 6. doi: 10.1016/j.compag.2022.106837. (ID: 28133)
  • Soubervielle Montalvo, C., Perez Cham, O. E., Puente Montejano, C. A., González Galván, E. J., Olague Caballero, G., Aguirre Salado, C. A., Cuevas Tello, J. C., & Ontanon Garcia, L. J. (2022). Design of a Low-Power Embedded System Based on a SoC-FPGA and the Honeybee Search Algorithm for a Real-Time Video Tracking. Sensors, 22(1280), 1-26. doi: 10.3390/s22031280. (ID: 27583)
  • Chernykh, A., Babenko, M., Shiriaev, E., Pulido Gaytan, L. B., Cortés Mendoza, J. M., Avetisyan, A., Drozdov, A. Y., & Kuchukov, V. (2022). An Efficient Method for Comparing Numbers and Determining the Sign of a Number in RNS for Even Ranges. Computation, 10(2), 17. doi: 10.3390/computation10020017. (ID: 27459)
  • Valenzuela Alcaraz, V. M., Cosío León, M. Á., Romero Ocaño, A. D., & Brizuela Rodríguez, C. A. (2022). A cooperative coevolutionary algorithm approach to the no-wait job shop scheduling problem. Expert Systems with Applications, (194), 116498. doi: 10.1016/j.eswa.2022.116498. (ID: 28369)
  • Romero Ocaño, A. D., Cosío León, M. Á., Valenzuela Alcaraz, V. M., & Brizuela Rodríguez, C. A. (2022). The impact of gradually replacing fossil fuel-powered vehicles with electric ones: A bi-objective optimisation approach. Expert Systems with Applications, 194, 116546. doi: 10.1016/j.eswa.2022.116546. (ID: 28368)
  • Canosa Reyes, R. M., Chernykh, A., Cortés Mendoza, J. M., Pulido Gaytan, L. B., Rivera Rodríguez, R., Lozano Rizk, J. E., Concepción Morales, E., Castro Barrera, H. E., Barrios Hernandez, C. B., Medrano Jaimes, H. F., Avetisyan, A., Babenko, M., & Drozdov, A. Y. (2022). Dynamic performance¿Energy tradeoff consolidation with contention-aware resource provisioning in containerized clouds. PLoS ONE, 17(1), e0261856. doi: 10.1371/journal.pone.0261856. (ID: 27456)
  • Lozano, E., Becerra Duran, I., Ruiz Lopez, U., Bravo Ramirez, L. D., & Murrieta-Cid, R. (2022). A visibility-based pursuit-evasion game between two nonholonomic robots in environments with obstacles. AUTONOMOUS ROBOTS, 23. doi: 10.1007/s10514-021-10026-5. (ID: 27253)
  • Babenko, M., Nazarov, A., deryabin, m., Kucherov, n., Chernykh, A., Viet Hung, N., Avetisyan, A., & Toporkov, V. (2022). Multiple Error Correction in Redundant Residue Number Systems: A Modified Modular Projection Method with Maximum Likelihood Decoding. Applied Sciences, 12(1), 463. doi: 10.3390/app12010463. (ID: 27453)
2021
  • Garate, B., Diaz, S., Iturriaga, S., Nesmachnow , S., Shepelev , V., & Chernykh, A. (2021). Autonomous Swarm of Low-Cost Commercial Unmanned Aerial Vehicles for Surveillance. PROGRAMMING AND COMPUTER SOFTWARE, 47(1), 558-577. doi: 10.1134/S0361768821080120. (ID: 27470)
  • Babenko, M., Nazarov, A., Chernykh, A., Pulido Gaytan, L. B., Cortés Mendoza, J. M., & Vashchenko, i. (2021). Algorithm for Constructing Modular Projections for Correcting Multiple Errors Based on a Redundant Residue Number System Using Maximum Likelihood Decoding. PROGRAMMING AND COMPUTER SOFTWARE, 47(1), 839-848. doi: 10.1134/S0361768821080089. (ID: 27479)
  • Volkov, I., Radchenko, G., & Chernykh, A. (2021). Digital Twins, Internet of Things and Mobile Medicine: A Review of Current Platforms to Support Smart Healthcare. PROGRAMMING AND COMPUTER SOFTWARE, 47(1), 578-590. doi: 10.1134/S0361768821080284. (ID: 27472)
  • Alaasam, A., Radchenko, G., & Chernykh, A. (2021). Refactoring the Monolith Workflow into Independent Micro-Workflows to Support Stream Processing. PROGRAMMING AND COMPUTER SOFTWARE, 47(1), 591-600. doi: 10.1134/S0361768821080077. (ID: 27475)
  • Vershkov, N., Babenko, M., Chernykh, A., Pulido Gaytan, L. B., Cortés Mendoza, J. M., Kuchukov, V., & Kuchukova, N. N. (2021). Optimization of Neural Network Training for Image Recognition Based on Trigonometric Polynomial Approximation. PROGRAMMING AND COMPUTER SOFTWARE, 47(1), 830-838. doi: 10.1134/S0361768821080272. (ID: 27474)
  • Feoktistov, A., Kostromin, R., Gorsky, S., Bychkov, I., Chernykh, A., & Basharina, O. (2021). Algorithms for Planning on Computational Model with Redundancy and Uncertainty. PROGRAMMING AND COMPUTER SOFTWARE, 47(1), 601-614. doi: 10.1134/S0361768821080119. (ID: 27471)
  • Chernykh, A., Babenko, M., Avetisyan, A., & Drozdov, A. Y. (2021). En-AR-PRNS: Entropy-Based Reliability for Configurable and Scalable Distributed Storage Systems. Mathematics, 10(1), 84. doi: 10.3390/math10010084. (ID: 27451)
  • Kober, V., Saptsin, V., Karnaukhov, V., & Mozerov, M. (2021). Suppression of heterogeneous environment interference using multiple cameras. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 66(12), 1470-1475. doi: 10.1134/S1064226921120111. (ID: 27211)
  • Makovetskii, A., Kober, V., Voronin, S., Voronin, A., Karnaukhov, V., & Mozerov, M. (2021). Nonrigid registration algorithm in the face recognition problem. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 66(12), 1452-1459. doi: 10.1134/S1064226921120160. (ID: 27213)
  • Ochoa Montiel, M. R., Sossa Azuela, J. H., Olague Caballero, G., Chan Ley, M. A., & Menéndez Clavijo, J. A. (2021). Symbolic Learning using Brain Programming for the Recognition of Leukemia Images. Computación y Sistemas, 25(4), 707-718. doi: 10.13053/CyS-25-4-4045. (ID: 27258)
  • Kirsanova, A., Radchenko, G., & Chernykh, A. (2021). Fog Computing State of the Art: Concept and Classification of Platforms to Support Distributed Computing System. Supercomputing Frontiers and Innovations, 8(3), 17-50. doi: 10.14529/jsfi210302. (ID: 27466)
  • Vadicamo, L., Gennaro, C., Falchi, F., Chávez González, E. L., Connor C.H., R., & amato, G. (2021). Re-ranking via local embeddings: A use case with permutation-based indexing and the nSimplex projection. Information Systems, 95(101506). doi: 10.1016/j.is.2020.101506. (ID: 26176)
  • Ricci López, J., Aguila, S., Gilson, M. K., & Brizuela Rodríguez, C. A. (2021). Improving structure-based virtual screening with ensemble docking and machine learning. Journal of Chemical Information and Modeling. doi: 10.1021/acs.jcim.1c00511. (ID: 27659)
  • Makovetskii, A., Voronin, S., Kober, V., & Voronin, A. (2021). Point cloud registration based on multiparameter functional. Mathematics, 9(20), 20. doi: 10.3390/math9202589. (ID: 27209)
  • Calle, L., Marrero Ponce, Y., & Mora, J. R. (2021). Molecular simulation of the (GPx)-like antioxidant activity of ebselen derivatives through machine learning techniques. MOLECULAR SIMULATION, 47(17), 1402-1410. doi: 10.1080/08927022.2021.1975039. (ID: 28200)
  • Hernández Cruz, N., Cato, D., & Favela Vara, J. (2021). Neural Style Transfer as Data Augmentation for Improving COVID-19 Diagnosis Classification. SN Computer Science, 2. doi: 10.1007/s42979-021-00795-2. (ID: 27410)
  • Juárez Jiménez, J. A., Santos, C., & Brizuela Rodríguez, C. A. (2021). A Comprehensive Review and a Taxonomy Proposal of Team Formation Problems. ACM Computing Surveys, 54(7), 1-33. doi: 10.1145/3465399. (ID: 26925)
  • Gonzalez, M. R., Martinez Rosas, M. E., Cosío León, M. Á., Cervantes De Ávila, H., & Brizuela Rodríguez, C. A. (2021). Multiple circle detection in images: a simple evolutionary algorithm approach and a new benchmark of images. PATTERN ANALYSIS AND APPLICATIONS, 24, 1583-1603. doi: 10.1007/s10044-021-01007-6. (ID: 27661)
  • Cañizares¿Carmenate, Y., Mena¿Ulecia, K., MacLeod Carey, D., Perera¿Sardiña, Y., Hernández¿Rodríguez, E., Marrero Ponce, Y., Torrens, F., & Castillo¿Garit, j. A. (2021). Machine learning approach to discovery of small molecules with potential inhibitory action against vasoactive metalloproteases. MOLECULAR DIVERSITY. doi: 10.1007/s11030-021-10260-0. (ID: 28201)
  • Ruchay, A., Kober, V., Dorofeev, K., Karnaukhov, V., & Mozerov, M. (2021). Classification of breast abnormalities using a deep convolutional neural network and transfer learning. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 66(6), 778-783. doi: 10.1134/S1064226921060206. (ID: 27210)
  • Alaasam, A., Radchenko, G., & Chernykh, A. (2021). Micro-Workflows Data Stream Processing Model for Industrial Internet of Things. Supercomputing Frontiers and Innovations, 8(1), 82-98. doi: 10.14529/jsfi210106. (ID: 27469)
  • Pulido Gaytan, L. B., Chernykh, A., Cortés Mendoza, J. M., Babenko, M., Radchenko, G., Avetisyan, A., & Drozdov, A. Y. (2021). Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities. Peer-to-Peer Networking and Applications, 14(1), 1666-1691. doi: 10.1007/s12083-021-01076-8. (ID: 27463)
  • Martín, O., Leyva, Y., Su¿arez-Lezcano, J., P¿erez-Castillo, Y., & Marrero Ponce, Y. (2021). The minimal and the optimal size for two different types of encapsulated replicator systems. CHINESE JOURNAL OF PHYSICS, 71. doi: 10.1016/j.cjph.2021.03.012. (ID: 28202)
  • Perez Cham, O. E., Puente Montejano, C. A., Soubervielle Montalvo, C., Olague Caballero, G., Castillo Barrera, F. E., Nuñez Varela, J., & Limon Romero, J. (2021). Automata design for honeybee search algorithm and its applications to 3D scene reconstruction and video tracking. Swarm and Evolutionary Computation, 61, 1-22. doi: 10.1016/j.swevo.2020.100817. (ID: 26616)
  • Cruz Sandoval, D., Favela Vara, J., López Nava, I. H., & Morales Tellez, A. (2021). Adoption of Wearable Devices by Persons with Dementia: Lessons from a Non-pharmacological Intervention Enabled by a Social Robot. In Goncalo Marques, Akash Kumar Bhoi, Victor Hugo C. de Albuquerque, Hareesha K.S. (Eds.), IoT in Healthcare and Ambient Assisted Living (pp. 145-163). Springer. (ID: 26593)
  • Hernández Cruz, N., Castro Quiroa, L. A., Medina Quero, J., Favela Vara, J., Michán Aguirre, L., & Mortenson, B. (2021). Scoping Review of Healthcare Literature on Mobile, Wearable, and Textile Sensing Technology for Continuous Monitoring. Journal of Healthcare Informatics Research, 5, 270-299. doi: 10.1007/s41666-020-00087-z. (ID: 27408)
  • Chernykh, A., Bychkov, I., Feoktistov, A., Gorsky, S., Sidorov, I., Kostromin, R., Edelev, A., Zorkalzev, V., & Avetisyan, A. (2021). Mitigating Uncertainty in Developing Scientific Applications in Integrated Environment. Proceedings of the Institute for System Programming of the RAS, 33(1), 151-172. doi: 10.15514/ISPRAS-2021-33(1)-11. (ID: 27482)
  • Alaasam, A., Radchenko, G., Chernykh, A., & González-Compeán, J. (2021). Stateful Stream Processing Containerized as Microservice to Support Digital Twins in Fog Computing. Proceedings of the Institute for System Programming of the RAS, 33(1), 65-80. doi: 10.15514/ISPRAS-2021-33(1)-5. (ID: 27484)
  • Muraña, J., Nesmachnow , S., Iturriaga , S., Montes de Oca, S., Belcredi, G., Monzón, P., Shepelev , V., & Chernykh, A. (2021). Smart grid demand response strategies for datacenters. Proceedings of the Institute for System Programming of the RAS, 32(2), 125-136. doi: 10.15514/ISPRAS-2021-33(2)-7. (ID: 27483)
  • Téllez Avila, E. S., Ruiz Velazques, L. G., Chávez González, E. L., & Graff, M. (2021). A scalable solution to the nearest neighbor search problem through local-search methods on neighbor graphs. PATTERN ANALYSIS AND APPLICATIONS. doi: 10.1007/s10044-020-00946-w. (ID: 26830)
2020
  • Chernykh, A., Bychkov, I., Feoktistov, A., Gorsky, S., Sidorov, I., Kostromin, R., Edelev, A., Zorkalzev, V., & Avetisyan, A. (2020). Mitigating Uncertainty in Developing and Applying Scientific Applications in an Integrated Computing Environment. PROGRAMMING AND COMPUTER SOFTWARE, 46(7), 483-502. doi: 10.1134/S036176882008023X. (ID: 26587)
  • Alaasam, A., Radchenko, G., Chernykh, A., & González-Compeán, J. (2020). Analytic Study of Containerizing Stateful Stream Processing as Microservice to Support Digital Twins in Fog Computing. PROGRAMMING AND COMPUTER SOFTWARE, 47(7), 511-525. doi: 10.1134/S0361768820080083. (ID: 26589)
  • Muraña, J., Nesmachnow, S., Iturriaga, S., Montes de Oca, S., Belcredi, G., Monzón, P., Shepelev , V., & Chernykh, A. (2020). Negotiation Approach for the Participation of Datacenters and Supercomputing Facilities in Smart Electricity Markets. PROGRAMMING AND COMPUTER SOFTWARE, 46(7), 636-651. doi: 10.1134/S0361768820080150. (ID: 26588)
  • Chavat , J., Nesmachnow, S., Chernykh, A., & Shepelev , V. (2020). Active Safety System for Urban Environments with Detecting Harmful Pedestrian Movement Patterns Using Computational Intelligence. Applied Sciences, 10(24), 9021. doi: 10.3390/app10249021. (ID: 26574)
  • Díaz Escobar, J., Kober, V., Karnaukhov, V., & Mozerov, M. (2020). Recognition of breast abnormalities using phase features. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 65(12), 1476-1483. doi: 10.1134/S1064226920120050. (ID: 26265)
  • Cibrian Robles, F. L., Ortega Román, D. H., Ley Flores, J. G., Rodríguez Aguilar, H. F., & Tentori Espinosa, M. E. (2020). Interactions of children and young adults using large-scale elastic displays. Avances en Interacción Humano-Computadora. doi: 10.47756/aihc.y5i1.67. (ID: 26756)
  • Miranda López, V., Chernykh, A., Babenko, M., Avetisyan, A., Toporkov, V., & Drozdov, A. Y. (2020). Two-Levels RRNS with Backpropagation for Increased Reliability and Privacy-Preserving of Secure Multi-Clouds Data Storage. IEEE Access, 8, 199424-199439. doi: 10.1109/ACCESS.2020.3032655. (ID: 26279)
  • Kober, V. (2020). Fast recursive computation of sliding DHT with arbitrary step. Sensors, 20(19), 5556. doi: 10.3390/s20195556. (ID: 26268)
  • Ruchay, A., Kober, V., Dorofeev, K., Kolpakov, V., & Miroshnikov, S. (2020). Accurate body measurement of live cattle using three depth cameras and non-rigid 3D shape recovery. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 179(105821). doi: 10.1016/j.compag.2020.105821. (ID: 26269)
  • Cibrian Robles, F. L., madrigal, m., Alvelais, M., & Tentori Espinosa, M. E. (2020). Supporting coordination of children with ASD using neurological music therapy: A pilot randomized control trial comparing an elastic touch-display with tambourines. Research in Developmental Disabilities. doi: 10.1016/j.ridd.2020.103741. (ID: 26161)
  • Babenko, M., deryabin, m., J. Piestrak, S., Patronik, P., Chervyakov, N., Chernykh, A., & Avetisyan, A. (2020). RNS Number Comparator Based on a Modified Diagonal Function. Electronics, 9(11), 1784. doi: 10.3390/electronics9111784. (ID: 26278)
  • Chernykh, A., Babenko, M., Chervyakov, N., Miranda López, V., Avetisyan, A., Drozdov, A. Y., Rivera Rodríguez, R., Radchenko, G., & Du, Z. (2020). Scalable Data Storage Design for Nonstationary IoT Environment With Adaptive Security and Reliability. IEEE Internet of Things Journal, 7(10), 10171-10188. doi: 10.1109/JIOT.2020.2981276. (ID: 26280)
  • Rios Felix, J. M., Zatarain Cabada, R., Barrón Estrada, M. L., & Favela Vara, J. (2020). An Intelligent Learning Environment for Computational Thinking. Computación y Sistemas, 24(3). doi: 10.13053/CyS-24-3-3480. (ID: 26167)
  • Peña Ramírez, O., Cibrian Robles, F. L., & Tentori Espinosa, M. E. (2020). Circus in Motion: a multimodal exergame supporting vestibular therapy for children with autism. Journal on Multimodal User Interfaces. doi: 10.1007/s12193-020-00345-9. (ID: 26129)
  • López Nava, I. H., Valentín Coronado, L. M., Favela Vara, J., & Garcia Constantino, M. (2020). Gait Activity Classification on Unbalanced Data from Inertial Sensors Using Shallow and Deep Learning. Sensors, 20(17), 21. doi: 10.3390/s20174756. (ID: 26140)
  • Nava Lara, R., Beltrán Verdugo, J. A., Brizuela Rodríguez, C. A., & Del Río, G. (2020). Relevant Features of Polypharmacologic Human-Target Antimicrobials Discovered by Machine-Learning Techniques. Pharmaceuticals, 13(9), 204. doi: 10.3390/ph13090204. (ID: 26347)
  • Flores Lamas, A., Fernández Zepeda, J. A., & Trejo Sánchez, J. A. (2020). A distributed algorithm for a maximal 2-packing set in Halin graphs. Journal of Parallel and Distributed Computing, 142, 62-76. doi: 10.1016/j.jpdc.2020.03.016. (ID: 26820)
  • Mercado Chan, J. C., Escobedo Bravo, L. O., & Tentori Espinosa, M. E. (2020). A BCI video game using neurofeedback improves the attention of children with autism. Journal on Multimodal User Interfaces. doi: 10.1007/s12193-020-00339-7. (ID: 26094)
  • Cibrian Robles, F. L., Ley Flores, J. G., newbold, j., Singh, A., Bianchi-Berthouze, N., & Tentori Espinosa, M. E. (2020). Interactive sonification to assist children with autism during motor therapeutic interventions. Personal and Ubiquitous Computing. doi: 10.1007/s00779-020-01479-z. (ID: 26275)
  • Makovetskii, A., Voronin, S., Kober, V., & Voronin, A. (2020). A regularized point cloud registration approach for orthogonal transformations. JOURNAL OF GLOBAL OPTIMIZATION, 8, 23. doi: 10.1007/s10898-020-00934-8. (ID: 26267)
  • Makovetskii, A., Voronin, S., Kober, V., & Voronin, A. (2020). Tube-based taut string algorithms for total variation regularization. Mathematics, 8(7), 1141. doi: 10.3390/math8071141. (ID: 26264)
  • Díaz Escobar, J., & Kober, V. (2020). Natural scene text detection and segmentation using phase-based regions and character retrieval. Mathematical Problems in Engineering, 2020(7067251), 17. doi: 10.1155/2020/7067251. (ID: 26263)
  • Ruiz Rodríguez, M. L., Kober, V., Karnaukhov, V., & Mozerov, M. (2020). Algorithm for three-dimensional reconstruction of non-rigid objects using a depth camera. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 65(6), 798-705. doi: 10.1134/S1064226920060248. (ID: 26259)
  • Kober, V., Ruchay, A., & Karnaukhov, V. (2020). Tracking multiple objects with locally adaptive generalized optimum correlation filters. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 65(6), 716-724. doi: 10.1134/S1064226920060169. (ID: 26262)
  • Ortiz González, A. J., Kober, V., Karnaukhov, V., & Mozerov, M. (2020). Algorithm for the design of a three-dimensional map of the environment with a depth camera. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 65(6), 690-697. doi: 10.1134/S1064226920060224. (ID: 26260)
  • Rodríguez Urrea, M. D., Beltrán Márquez, J., Cruz Sandoval, D., Valenzuela Beltran, M., & Favela Vara, J. (2020). Assisting older adults with medication reminders through an audio-based activity recognition system. Personal and Ubiquitous Computing. doi: 10.1007/s00779-020-01420-4. (ID: 26065)
  • Martinez Rios, F., Marmolejo Saucedo, J., García Jacas, C. R., & Murillo Suarez, A. (2020). ¿¿¿¿¿-EGF: A New Multi-Thread and Nature-Inspired Algorithm for the Packing Problem. Mobile Networks and Applications, 25, 2105-2117. doi: 10.1007/s11036-020-01558-8. (ID: 26305)
  • Mora, J., Marrero Ponce, Y., García Jacas, C. R., & Suarez Causado, A. (2020). Ensemble Models Based on QuBiLS-MAS Features and Shallow Learning for the Prediction of Drug-Induced Liver Toxicity: Improving Deep Learning and Traditional Approaches. CHEMICAL RESEARCH IN TOXICOLOGY, 33(7), 1855-1873. doi: 10.1021/acs.chemrestox.0c00030. (ID: 26092)
  • Ochoa Montiel, M. R., Olague Caballero, G., & Sossa Azuela, J. H. (2020). Expert knowledge for the recognition of leukemic cells. Applied Optics, 59(14), 4448-4460. doi: 10.1364/AO.385208. (ID: 26097)
  • Chan Ley, M. A., & Olague Caballero, G. (2020). Hands-on Artificial Evolution Through Brain Programming. In Wolfgang Banzhaf, Erik Goodman, Leigh Sheneman, Leonardo Trujillo and Bill Worzel (Eds.), Genetic Programming Theory and Practice XVII (pp. 227-253). Springer. (ID: 26618)
  • Fernández De Vega, F., Olague Caballero, G., Chávez De La O, F., Lanza, d., Banzhaf, W., & Goodman, E. (2020). It is Time for New Perspectives on How to Fight Bloat in GP. In Wolfgang Banzhaf, Erik Goodman, Leigh Sheneman, Leonardo Trujillo and Bill Worzel (Eds.), Genetic Programming Theory and Practice XVII (pp. 25-38). Springer. (ID: 26617)
  • Chan Ley, M. A., & Olague Caballero, G. (2020). Categorization of digitized artworks by media with brain programming. Applied Optics, 59(14), 4437-4447. doi: 10.1364/AO.385552. (ID: 26098)
  • Ivashko, E., Ivashko, A., Safonov, G., & Chernykh, A. (2020). Cost-Efficient Strategy in Clouds with Spot Price Uncertainty. AUTOMATION AND REMOTE CONTROL, 81(4), 731-745. doi: 10.1134/S000511792004013X. (ID: 26282)
  • Chan Ley, M. A., Olague Caballero, G., Altamirano Gómez, G. E., & Clemente Torres, E. H. (2020). Self-localization of an uncalibrated camera through invariant properties and coded target location. Applied Optics, 59(13), D239-D245. doi: 10.1364/AO.385841. (ID: 26096)
  • Ramirez Palma, D., García Jacas, C. R., Capio Martinez, P., & Cortés Guzmán, F. (2020). Predicting reactive sites with quantum chemical topology: carbonyl additions in multicomponent reactions. PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 22, 9283-9289. doi: 10.1039/D0CP00300J. (ID: 26057)
  • Bravo Ramirez, L. D., Ruiz Lopez, U., & Murrieta-Cid, R. (2020). A pursuit-evasion game between two identical differential drive robots. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 357(10), 5773-5808. doi: 10.1016/j.jfranklin.2020.03.009. (ID: 26038)
  • Perez Cham, O. E., Puente Montejano, C. A., Soubervielle Montalvo, C., Olague Caballero, G., Aguirre Salado, C. A., & Nuñez Varela, A. S. (2020). Parallelization of the honeybee search algorithm for object tracking. Applied Sciences, 10(6), 24. doi: 10.3390/app10062122. (ID: 26099)
  • Beltrán Verdugo, J. A., Del Río, G., & Brizuela Rodríguez, C. A. (2020). An automatic representation of peptides for effective antimicrobial activity classification. Computational and Structural Biotechnology Journal, 18, 455-463. doi: 10.1016/j.csbj.2020.02.002. (ID: 26350)
  • Fernández De Vega, F., Olague Caballero, G., Lanza, d., Chávez De La O, F., Banzhaf, W., Goodman, E., Menéndez Clavijo, J. A., & Martínez Navarro, A. (2020). Time and Individual Duration in Genetic Programming. IEEE Access, 8, 38692-38713. doi: 10.1109/ACCESS.2020.2975753. (ID: 26100)
  • García Jacas, C. R., Marrero Ponce, Y., Vivas Reyes, R., Suárez Lezcano, J., Martinez Rios, F., Teran, J., & Aguilera Mendoza, L. (2020). Distributed and multicore QuBiLS¿MIDAS software v2.0: Computing chiral, fuzzy, weighted and truncated geometrical molecular descriptors based on tensor algebra. JOURNAL OF COMPUTATIONAL CHEMISTRY, 41(12), 1209-1227. doi: 10.1002/jcc.26167. (ID: 26056)
  • Hernández Cruz, N., Garcia Constantino, M., Beltrán Márquez, J., Hecker, P., Favela Vara, J., Rafferty, J., Cleland, I., López Nava, I. H., Arnrich, B., & McChesney, I. (2020). Prototypical System to Detect Anxiety Manifestations by Acoustic Patterns in Patients with Dementia. EAI Endorsed Transactions on Pervasive Health and Technology, 5(19), 11. doi: 10.4108/eai.10-2-2020.163097. (ID: 26141)
  • Hernández Cruz, N., Lundstrom, J., Favela Vara, J., McChesney, I., & Arnrich, B. (2020). Literature Review on Transfer Learning for Human Activity Recognition Using Mobile and Wearable Devices with Environmental Technology. SN Computer Science, 1. doi: 10.1007/s42979-020-0070-4. (ID: 27417)
  • Caro Corrales, K., Martínez García, A. I., & kuriniawan, s. (2020). A Performance Comparison between Exergames Designed for Individuals with Autism Spectrum Disorder and Commercially-Available Exergames. Multimedia Tools and Applications, 33. doi: 10.1007/s11042-019-08577-y. (ID: 25365)
  • Babenko, M., Chernykh, A., Chervyakov, N., Kuchukov, V., Miranda López, V., Rivera Rodríguez, R., Du, Z., & Talbi, E. (2020). Positional Characteristics for Efficient Number Comparison over the Homomorphic Encryption. PROGRAMMING AND COMPUTER SOFTWARE, 45, 532-543. doi: 10.1134/S0361768819080115. (ID: 25484)
  • Iturriaga , S., Nesmachnow, S., GOÑI, G., Dorronsoro, B., & Chernykh, A. (2020). Evolutionary Algorithms for Optimizing Cost and QoS on Cloud-based Content Distribution Networks. PROGRAMMING AND COMPUTER SOFTWARE, 45(8), 544-556. doi: 10.1134/S0361768819080127. (ID: 25485)
  • Kirsanova, A., Radchenko, G., & Chernykh, A. (2020). Overview of Fog Computing Organization Technologies. Bulletin of the South Ural State, 9(3), 35-63. doi: 10.14529/cmse200303. (ID: 27587)
2019
  • Kober, V., Makovetskii, A., & Voronin, S. (2019). A Fast Algorithm of Regularization of the Total Variation for the Class of Radially Symmetrical Functions. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 64(12), 1500-1507. doi: 10.1134/S1064226919120064. (ID: 25706)
  • Ruchay, A., Kober, V., & Karnaukhov, V. (2019). Algorithm for Estimating Type and Probability of Impulse Noise in Color Images. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 64(12), 1508-1512. doi: 10.1134/S1064226919120143. (ID: 25707)
  • López Nava, I. H., & Muñoz Meléndez, A. (2019). Human action recognition based on low- and high-level data from wearable inertial sensors. International Journal of Distributed Sensor Networks. doi: 10.1177/1550147719894532. (ID: 25334)
  • Brizuela Rodríguez, C. A., & Juárez Jiménez, J. A. (2019). Optimización Evolutiva Multi-objetivo. In Carlos A. Coello Coello (Eds.), Computación Evolutiva (pp. 177-217). Academia Mexicana de Computación. (ID: 26546)
  • Ramirez Palma, L., García Jacas, C. R., Garcia Ramos, J. C., Almada Monter, R., Galindo Murillo, G., & Cortés Guzmán, F. (2019). Pharmacophoric sites of anticancer metal complexes located using quantum topological atomic descriptors. JOURNAL OF MOLECULAR STRUCTURE, 1204(127480). doi: 10.1016/j.molstruc.2019.127480. (ID: 25403)
  • Hernández Cruz, N., Nugent, C., McChesney, I., Zhang, S., & Favela Vara, J. (2019). Adoption of the activation function fusion approach to identify human activity recognition in a semi-supervised neural network. EAI Endorsed Transactions on Ambient Systems. doi: 10.4108/eai.30-10-2018.161669. (ID: 25603)
  • Aguilera Mendoza, L., Beltrán Verdugo, J. A., Guillén Ramírez, H. A., Marrero Ponce, Y., Tellez Ibarra, R., & Brizuela Rodríguez, C. A. (2019). Graph-based data integration from bioactive peptide databases of pharmaceutical interest: toward an organized collection enabling visual network analysis. BIOINFORMATICS, 35(55), 4739-4747. doi: 10.1093/bioinformatics/btz260. (ID: 25449)
  • Marrero Ponce, Y., Teran, J., Contreras Torres, E., García Jacas, C. R., Perez Castillo, Y., Cubillán, N., Pérez Giménez, F., & Valdés Martiní, J. R. (2019). LEGO-based generalized set of two linear algebraic 3D bio-macro-molecular descriptors: Theory and validation by QSARs. JOURNAL OF THEORETICAL BIOLOGY, 485(110039). doi: 10.1016/j.jtbi.2019.110039. (ID: 25114)
  • Muraña, J., Nesmachnow , S., Armenta Cano, F. A., & Chernykh, A. (2019). Characterization, modeling and scheduling of power consumption of scientific computing applications in multicores. Cluster Computing: the Journal of Networks, Software Tools and Applications, 22, 839-859. doi: 10.1007/s10586-018-2882-8. (ID: 25375)
  • García Jacas, C. R., Teran, J., Marrero Ponce, Y., Contreras Torres, E., Viva Reyes, R., Terán, E., & Torres, J. (2019). Tensor Algebra-based Geometrical (3D) Biomacro-Molecular Descriptors for Protein Research: Theory, Applications and Comparison with other Methods. Scientific Reports, 9, 11316. doi: 10.1038/s41598-019-47858-2. (ID: 24989)
  • Cruz Sandoval, D., & Favela Vara, J. (2019). A Conversational Robot to Conduct Therapeutic Interventions for Dementia. IEEE Pervasive Computing, 18(2), 10-19. doi: 10.1109/MPRV.2019.2907020. (ID: 25001)
  • Ordóñez Guillén, N. E., & Martínez Pérez, I. M. (2019). Catalytic DNA Strand Displacement Cascades Applied to Logic Programming. IEEE Access, 7, 100428-100441. doi: 10.1109/ACCESS.2019.2928273. (ID: 25018)
  • Cruz Sandoval, D., Beltrán Márquez, J., Garcia Constantino, M., González Jasso, L. A., Favela Vara, J., López Nava, I. H., Cleland, I., Ennis, A., Hernández Cruz, N., Rafferty, J., Synnott, J., & Nugent, C. (2019). Semi-Automated Data Labeling for Activity Recognition in Pervasive Healthcare. Sensors. doi: 10.3390/s19143035. (ID: 25002)
  • Cruz Sandoval, D., & Favela Vara, J. (2019). Incorporating Conversational Strategies in a Social Robot to Interact with People with Dementia. DEMENTIA AND GERIATRIC COGNITIVE DISORDERS. doi: 10.1159/000497801. (ID: 25601)
  • Meza Sánchez, I. M., Clemente Torres, E. H., Rodríguez Liñan, M. C., & Olague Caballero, G. (2019). Synthetic-Analytic Behavior-based Control Framework: Constraining Velocity in Tracking for Nonholonomic Wheeled Mobile Robots. Information Sciences, 501, 436-459. doi: 10.1016/j.ins.2019.06.025. (ID: 25074)
  • García Jacas, C. R., Marrero Ponce, Y., Cortes Guzman, F., Suárez Lezcano, J., Martinez Rios, F., García González, L. A., Pupo Meriño, M., & Martinez Mayorga, K. (2019). Enhancing Acute Oral Toxicity Predictions by using Consensus Modeling and Algebraic Form-Based 0D-to-2D Molecular Encodes. CHEMICAL RESEARCH IN TOXICOLOGY, 32(6), 1178-1192. doi: 10.1021/acs.chemrestox.9b00011. (ID: 24988)
  • Olague Caballero, G., Clemente Torres, E. H., Hernández Morales, D. E., Barrera Román, A., Chan Ley, M. A., & Bakshi, S. (2019). Artificial Visual Cortex and Random Search for Object Categorization. IEEE Access, 7, 54054-54072. doi: 10.1109/ACCESS.2019.2912792. (ID: 25073)
  • Nava Lara, R., Aguilera Mendoza, L., Brizuela Rodríguez, C. A., Peña, A., & Del Río, G. (2019). Heterologous Machine Learning for the Identification of Antimicrobial Activity in Human-Targeted Drugs. MOLECULES, 24(1258). doi: 10.3390/molecules24071258. (ID: 25452)
  • Ricci López, J., Vidal Limon, A., Matias Zunñiga, V., Alderete Jimenez, J., Brizuela Rodríguez, C. A., & Aguila, S. (2019). Molecular modeling simulation studies reveal new potential inhibitors against HPV E6 protein. PLoS ONE. doi: 10.1371/journal.pone.0213028. (ID: 25450)
  • Romero Ocaño, A. D., Brizuela Rodríguez, C. A., Valenzuela Alcaraz, V. M., & Cosío León, M. Á. (2019). Comparación de los algoritmos NSGA-II y MOEA/D en la solución del problema de rutas de vehículos eléctricos con ventanas de tiempo y estaciones de recarga. In M. López Acosta, M. Cedillo Campos, J. Velarde Cantú, A. Bueno Solano, E. Lagarda Leyva (Eds.), Gestión en la Cadena de Suministro: Aplicaciones en Latinoamérica (pp. 17-34). Pearson. (ID: 26544)
  • Fabbiani, E., Nesmachnow , S., Toutouh, J., Chernykh, A., Avetisyan, A., & Radchenko, G. (2019). Analysis of Mobility Patterns for Public Transportation and Bus Stops Relocation. PROGRAMMING AND COMPUTER SOFTWARE, 44(6), 508-525. doi: 10.1134/S0361768819010031. (ID: 25377)
  • Perez Mena, A., Fernández Zepeda, J. A., Rivera Caicedo, J. P., & Ávila George, H. (2019). Una aplicación móvil para el monitoreo de cultivos: caso de estudio campaña contra el pulgón amarillo del sorgo. Revista Ibérica de Sistemas e Tecnologias de Informação, (31), 118-133. doi: 10.17013/risti.31.118¿133. (ID: 25609)
  • Babenko, M., Chernykh, A., Chervyakov, N., Kuchukov, V., Miranda López, V., Rivera Rodríguez, R., & Du, Z. (2019). Efficient Number Comparison in the Residue Number System based on Positional Characteristics. Proceedings of the Institute for System Programming of the RAS, 31(2), 187-201. doi: 10.15514/ISPRAS-2019-31(2)-13. (ID: 27494)
  • Iturriaga , S., Nesmachnow, S., GOÑI, G., Dorronsoro, B., & Chernykh, A. (2019). Design and optimization of Content Distribution Networks. Proceedings of the Institute for System Programming of the RAS, 31(2), 15-20. doi: 10.15514/ISPRAS-2019-31(2)-1. (ID: 27493)
  • Chernykh, A., & Hadjali, A. (2019). Editorial: Special Issue on Advanced Computing: from Theory to Practice. Proceedings of the Institute for System Programming of the RAS, 31(2), 7-13. doi: 10.15514/ISPRAS-2019-31(2)-0. (ID: 27492)
  • Radchenko, G., Alaasam, A., & Chernykh, A. (2019). COMPARATIVE ANALYSIS OF VIRTUALIZATION METHODS IN BIG DATA PROCESSING. Supercomputing Frontiers and Innovations, 6(1). doi: 10.14529/jsfi190107. (ID: 25486)
  • Puente Montejano, C. A., Olague Caballero, G., Trabucchi, M., Arjona Villicaña, P. D., & Soubervielle Montalvo, C. (2019). Synthesis of Vegetation Indices Using Genetic Programming for Soil Erosion Estimation. Remote Sensing, 11(2), 25 ages. doi: 10.3390/rs11020156. (ID: 24499)
  • Chernykh, A., Miranda López, V., Babenko, M., Armenta Cano, F. A., Radchenko, G., Drozdov, A. Y., & Avetisyan, A. (2019). Performance evaluation of secret sharing schemes with data recovery in secured and reliable heterogeneous multi-cloud storage. Cluster Computing: the Journal of Networks, Software Tools and Applications, 22(4), 1173-1185. doi: 10.1007/s10586-018-02896-9. (ID: 25376)
2018
  • Díaz Escobar, J., Kober, V., Karnaukhov, V., & González Fraga, J. A. (2018). A new invariant to illumination feature descriptor for pattern recognition. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 63(12), 1469-1474. doi: 10.1134/S1064226918120045. (ID: 24041)
  • Kober, V., Ruchay, A., & Karnaukhov, V. (2018). Fast recursive computation of composite correlation filters. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 63(12), 1486-1490. doi: 10.1134/S1064226918120082. (ID: 24042)
  • Makovetskii, A., Voronin, S., Kober, V., & Voronin, A. (2018). A non-iterative method for approximation of the exact solution to the point-to-plane variational problem for orthogonal transformations. MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 41(1), 9218-9230. doi: 10.1002/mma.5173. (ID: 24036)
  • Kober, V., Choi, T. S., Díaz Ramírez, V. H., & Aguilar González, P. M. (2018). Pattern Recognition: Recent Advances and Applications. Mathematical Problems in Engineering, 2018(8510319), 2. doi: 10.1155/2018/8510319. (ID: 24040)
  • Díaz Escobar, J., Kober, V., & González Fraga, J. A. (2018). LUIFT: LUminance Invariant Feature Transform. Mathematical Problems in Engineering, 2018(3758102), 17. doi: 10.1155/2018/3758102. (ID: 24033)
  • García Jacas, C. R., Cabrera Leyva, L., Marrero Ponce, Y., Suárez Lezcano, J., Cortes Guzman, F., Pupo Meriño, M., & Vivas Reyes, R. (2018). Choquet integral-based fuzzy molecular characterizations: when global definitions are computed from the dependency among atom/bond contributions (LOVIs/LOEIs). Journal of Cheminformatics, 10(51), 1-17. doi: 10.1186/s13321-018-0306-7. (ID: 24875) (E)
  • Vázquez Medina, E. V., Cibrian Robles, F. L., & Tentori Espinosa, M. E. (2018). StretchyStars: a multi-touch elastic display to support cooperative play among preschoolers. Personal and Ubiquitous Computing. doi: 10.1007/s00779-018-1179-5. (ID: 23916)
  • Nesmachnow, S., Massobrio, R., Arreche, E., Mumford, C., Olivera, A. C., Vidal, P. J., & Chernykh, A. (2018). Traffic lights synchronization for Bus Rapid Transit using a parallel evolutionary algorithm. International Journal of Transportation Science and Technology, 1-15. doi: 10.1016/j.ijtst.2018.10.002. (ID: 24527)
  • Favela Vara, J., & Castro Quiroa, L. A. (2018). Technology and Aging: Ubiquitous Sensing Technology for Aging Research. In García-Peña C., Gutiérrez-Robledo L., Pérez-Zepeda M. (Eds.), Aging Research - Methodological Issues (2 ed., pp. 175-184). Springer. (ID: 24487)
  • Beltrán Verdugo, J. A., Aguilera Mendoza, L., & Brizuela Rodríguez, C. A. (2018). Optimal selection of molecular descriptors for antimicrobial peptides classification: An evolutionary feature weighting approach. BMC GENOMICS, 19(7), 672. doi: 10.1186/s12864-018-5030-1. (ID: 23884)
  • Guillén Ramírez, H. A., & Martínez Pérez, I. M. (2018). Classification of riboswitch sequences using k-mer frequencies. BioSystems, 174, 63-76. doi: 10.1016/j.biosystems.2018.09.001. (ID: 23869)
  • Espinosa Curiel, I. E., Rodríguez Jacobo, J., Vázquez Alfaro, E., Fernández Zepeda, J. A., & Fajardo Delgado, D. (2018). Analysis of the Changes in Communication and Social Interactions During the Transformation of a Traditional Team into an Agile Team. Journal of Software: Evolution and Process, 30(9), 1-24. doi: 10.1002/smr.1946. (ID: 24265)
  • García Jacas, C. R., Cabrera Leyva, L., Marrero Ponce, Y., Suárez Lezcano, J., Cortes Guzman, F., & García González, L. A. (2018). GOWAWA Aggregation Operator¿based Global Molecular Characterizations: Weighting Atom/bond Contributions (LOVIs/LOEIs) According to their Influence in the Molecular Encoding. Molecular Informatics, 37(12), 1-13. doi: 10.1002/minf.201800039. (ID: 24874) (E)
  • Menchaca Méndez, R., Luna Núñez, B., Menchaca Méndez, R., Yee-Rendon, A., Quinterio, R., & Favela Vara, J. (2018). Opportunistic Mobile Sensing in the Fog. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2018, 18. doi: 10.1155/2018/2796282. (ID: 23813)
  • Chernykh, A., Babenko, M., Chervyakov, N., Miranda López, V., Kuchukov, V., Cortés Mendoza, J. M., deryabin, m., Kucherov, n., Radchenko, G., & Avetisyan, A. (2018). AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 102, 60-73. doi: 10.1016/j.ijar.2018.07.010. (ID: 24523)
  • Hernández Cruz, N., & Favela Vara, J. (2018). Assessing the Perception of Physical Fatigue using Mobile Sensing. In Miguel A. Wister, Pablo Pancardo, Francisco D. Acosta, Jose A. Hernán (Eds.), Intelligent Data Sensing and Processing for Health and Well-being Applications (1 ed., pp. 161-173). Academic Press. (ID: 23534)
  • Picos, K., Díaz Ramírez, V. H., Montemayor, A., Pantrigod, J., & Kober, V. (2018). Three-dimensional pose tracking by image correlation and particle filtering. Optical Engineering, 57(7), 073108-16. doi: 10.1117/1.OE.57.7.073108. (ID: 24032)
  • Chernykh, A., Cortés Mendoza, J. M., Bychkov, I., Feoktistov, A., Didelot, L., Bouvry, P., Radchenko, G., & Borodulin, k. (2018). Configurable Cost-Quality Optimization of Cloud-based VoIP. Journal of Parallel and Distributed Computing, 1-18. doi: 10.1016/j.jpdc.2018.07.001. (ID: 24524)
  • Fernández Zepeda, J. A., Brubeck Salcedo, D., Fajardo Delgado, D., & Zatarain Aceves, H. (2018). A Two-Player Coalition Cooperative Scheme for the Bodyguard Allocation Problem. Journal of Computer Science and Technology, 33(4), 823-837. doi: 10.1007/s11390-018-1858-8. (ID: 23822)
  • Massobrio, R., Nesmachnow, S., Chernykh, A., Avetisyan, A., & Radchenko, G. (2018). Towards a Cloud Computing Paradigm for Big Data Analysis in Smart Cities. PROGRAMMING AND COMPUTER SOFTWARE, 44(3), 181-189. doi: 10.1134/S0361768818030052. (ID: 24526)
  • von Lucken, C., Brizuela Rodríguez, C. A., & Barán Cegla, B. (2018). An overview on evolutionary algorithms for many-objective optimization problems. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. doi: 10.1002/widm.1267. (ID: 23748)
  • Ruchay, A., Kober, V., & González Fraga, J. A. (2018). Reliable Recognition of Partially Occluded Objects with Correlation Filters. Mathematical Problems in Engineering, 2018(8284123), 8. doi: 10.1155/2018/8284123. (ID: 24035)
  • Yaurima Basaldua, V. H., Chernykh, A., Villalobos Rodríguez, F., & Salomon Torres, R. (2018). Hybrid flow shop with unrelated machines, setup time and work in progress buffers for bi-objective optimization of tortilla manufacturing. Algorithms, 11(5), 68-92. doi: 10.3390/a11050068. (ID: 24529)
  • Bychkov, I., Oparin, G., Chernykh, A., Feoktistov, A., Gorsky, S., & Rivera Rodríguez, R. (2018). Scalable Application for the Search of Global Minima of Multiextremal Functions. Optoelectronics, Instrumentation and Data Processing, 54(1), 83-89. doi: 10.3103/S8756699018010132. (ID: 24533)
  • Leyva, Y., Martín, O., & García Jacas, C. R. (2018). Constraining the Prebiotic Cell Size Limits in Extremely Hostile Environments: A Dynamical Perspective. International Journal of Astrobiology, 18(4), 403-411. doi: 10.1089/ast.2017.1696. (ID: 24872) (E)
  • Meneses Marcel, A., Marrero Ponce, Y., Ibáñez Escribano, A., Gómez Barrio, A., Escario, J., Barigye, S. J., Terán, E., García Jacas, C. R., Machado Tugores, Y., Nogal Ruiz, J., & Arán Redó, V. (2018). Drug repositioning for novel antitrichomonas from known antiprotozoan drugs using hierarchical screening. Future Medicinal Chemistry, 10(8), 403-411. doi: 10.4155/fmc-2016-0211. (ID: 24873) (E)
  • Castillo Topete, V. H., Martínez García, A. I., Soriano Equigua, L., Maciel Mendoza, F. M., Álvarez Flores, J. L., & Juárez Ramírez, R. (2018). An interaction framework for supporting the adoption of EHRS by physicians. Universal Access in the Information Society. doi: 10.1007/s10209-018-0612-x. (ID: 23892)
  • Juárez Jiménez, J. A., Brizuela Rodríguez, C. A., & Martínez Pérez, I. M. (2018). An Evolutionary Multi-objective Optimization Algorithm for the Routing of Droplets in Digital Microfluidic Biochips. Information Sciences, 429, 130-146. (ID: 23019)
  • Peña Morales, D., Chernykh, A., Nesmachnow, S., Massobrio, R., Feoktistov, A., Bychkov, I., Radchenko, G., Drozdov, A. Y., & Garichev, S. (2018). Operating Cost and Quality of Service Optimization for Multi-Vehicle-Type Timetabling for Urban Bus Systems. Journal of Parallel and Distributed Computing, 1-14. doi: 10.1016/j.jpdc.2018.01.009. (ID: 24525)
  • Alvarez Lozano, J., García Macías, J. A., & Chávez González, E. L. (2018). User Location Forecasting Based on Collective Preferences. In Sanchez M., Aguilar L., Castañón-Puga M., Rodríguez-Díaz A. (Eds.), Computer Science and Engineering¿Theory and Applications (pp. 23). Springer. (ID: 26570)
  • Nazarov, A., Chervyakov, N., Chernykh, A., & Babenko, M. (2018). Reliability Improvement of Information Systems by Residue Number System Code. International Journal of Combinatorial Optimization Problems and Informatics, 9(1), 81-84. (ID: 24532)
  • Colbes Sanabria, J. D., Brizuela Rodríguez, C. A., & Aguila, S. (2018). Scoring of Side-Chain Packings: An Analysis of Weight Factors and Molecular Dynamics Structures. Journal of Chemical Information and Modeling, 58(2), 443-452. doi: 10.1021/acs.jcim.7b00679. (ID: 23688)
  • Barreto, M., Nesmachnow, S., & Chernykh, A. (2018). Hybrid algorithms for 3-SAT optimisation using MapReduce on clouds. International Journal of Innovative Computing and Applications, 9(1). doi: 10.1504/IJICA.2018.090835. (ID: 24530)
2017
  • Nikitina, N., Ivashko, E., & Chernykh, A. (2017). Congestion Game Scheduling for Virtual Drug Screening Optimization. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 1-12. doi: 10.1007/s10822-017-0093-7. (ID: 23158)
  • Ramírez Velarde, R., Chernykh, A., Barba Jiménez, C., Hirales Carbajal, A., & Nolazco, J. (2017). Adaptive Resource Allocation with Job Runtime Uncertainty. Journal of Grid Computing, 15(4), 415-434. doi: 10.1007/s10723-017-9410-6. (ID: 22624)
  • Fernández Zepeda, J. A., Remírez Pacheco, J. C., & Trejo Sánchez, J. A. (2017). A Self-Stabilizing Algorithm for a Maximal 2-Packing in a Cactus Graph Under Any Scheduler. International Journal of Foundations of Computer Science, 28(8), 1021-1045. doi: 10.1142/S012905411750037X. (ID: 23612)
  • Hernández Cruz, N., Arnrich, B., Favela Vara, J., Ersoy, C., Demiray, B., & Fontecha, J. (2017). A multi-site study on walkability, data sharing and privacy perception using mobile sensing data gathered from the mk-sense platform. Journal of Ambient Intelligence and Humanized Computing, 1-13. doi: 10.1007/s12652-017-0642-x. (ID: 22711)
  • Molina Molina, E. O., Díaz Escobar, J., Chávez González, E. L., & Hidalgo Silva, H. H. (2017). Algoritmos de Binarización Robusta de Imágenes con Iluminación No Uniforme. Revista Iberoamericana de Automática e Informática Industrial. doi: 10.4995/riai.2017.8847. (ID: 23367)
  • Hidalgo Silva, H. H., López Martínez, J. L., Trejo Sánchez, J. A., Gonzalez Segura, S., & Yam Uicab, R. (2017). A fast Hough Transform algorithm for straight lines detection in an image using GPU parallel computing with CUDA-C. JOURNAL OF SUPERCOMPUTING, 73(11), 4823-4842. doi: 10.1007/s11227-017-2051-5. (ID: 22915)
  • Chervyakov, N., Babenko, M., Chernykh, A., Kucherov, n., Miranda López, V., & Cortés Mendoza, J. M. (2017). AR-RRNS: Configurable reliable distributed data storage systems for Internet of Things to ensure security. Future Generation Computer Systems, 1-13. doi: 10.1016/j.future.2017.09.061. (ID: 22655)
  • Corral Corral, R., Beltrán Verdugo, J. A., Brizuela Rodríguez, C. A., & Del Río, G. (2017). Systematic identification of machine-learning models aimed to classify critical residues for protein function from protein structure. MOLECULES, 22(10), 1673. doi: 10.3390/molecules22101673. (ID: 23018)
  • Hernández Cruz, N., Castro Quiroa, L. A., Favela Vara, J., Michán Aguirre, L., & Arnrich, B. (2017). Data Quality in Mobile Sensing Datasets for Pervasive Healthcare. In Samee U., KhanAlbert Y., ZomayaAssad Abbas (Eds.), Handbook of Large-Scale Distributed Computing in Smart Healthcare (pp. 217-238). Springer. (ID: 22584)
  • García Jacas, C. R., Marrero Ponce, Y., Hernández Ortega, T., Martinez Mayorga, K., Cabrera Leyva, L., Ledesma Romero, J. C., Aguilera Fernández, I., & Rodríguez León, A. R. (2017). Tensor algebra-based geometric methodology to codify central chirality on organic molecules. SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 28(6), 541-556. doi: 10.1080/1062936X.2017.1344729. (ID: 24871) (E)
  • Valdés Martiní, J. R., Marrero Ponce, Y., García Jacas, C. R., Martinez Mayorga, K., Barigye, S. J., Vaz d`Almeida, Y., Pham The, H., Pérez Giménez, F., & Morell, C. (2017). QuBiLS-MAS, open source multi-platform software for atom- and bond-based topological (2D) and chiral (2.5D) algebraic molecular descriptors computations. Journal of Cheminformatics, 9(35), 1-26. doi: 10.1186/s13321-017-0211-5. (ID: 24870) (E)
  • Miramontes Jaramillo, D., Kober, V., Diaz Ramírez , V., & Karnaukhov, V. (2017). Descriptor-Based Tracking Algorithm Using a Depth Camera. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 62(6), 638-647. doi: 10.1134/S1064226917060146. (ID: 22647)
  • Echeagaray Patrón, B. A., Kober, V., Karnaukhov, V., & Kuznetsov, V. (2017). A Method of Face Recognition Using 3D Facial Surfaces. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 62(6), 648-652. doi: 10.1134/S1064226917060067. (ID: 22648)
  • Armenta Cano, F. A., Chernykh, A., Cortés Mendoza, J. M., Yahyapour, R., Drozdov, A. Y., Bouvry, P., Kliazovich, D., Avetisyan, A., & Nesmachnow, S. (2017). Min_c: Heterogeneous Concentration Policy for Energy-Aware Scheduling of Jobs with Resource Contention. PROGRAMMING AND COMPUTER SOFTWARE, 43(3), 204-215. doi: 10.1134/S0361768817030021. (ID: 22657)
  • Garay, G. R., Chernykh, A., Drozdov, A. Y., Garichev, S., Nesmachnow, S., & Torres Martínez, M. (2017). Visualization of VHDL-based Simulations as a Pedagogical Tool for Supporting Computer Science Education. Journal of Computational Science, 1-8. doi: 10.1016/j.jocs.2017.04.004. (ID: 22656)
  • Hernández Morales, D. E., Olague Caballero, G., Hernández Valencia, B., & Clemente Torres, E. H. (2017). CUDA-based parallelization of a bio-inspired model for fast object classification. NEURAL COMPUTING & APPLICATIONS. doi: 10.1007/s00521-017-2873-3. (ID: 23046)
  • García Jacas, C. R., Martinez Mayorga, K., Marrero Ponce, Y., & Medina Franco, J. L. (2017). Conformation-dependent QSAR approach for the prediction of inhibitory activity of bromodomain modulators. SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 28(1), 41-58. doi: 10.1080/1062936X.2017.1278616. (ID: 24868)
  • Fernández de Gortari, E., García Jacas, C. R., Martinez Mayorga, K., & Medina Franco, J. L. (2017). Database fingerprint (DFP): an approach to represent molecular databases. Journal of Cheminformatics, 9(9), 1-9. doi: 10.1186/s13321-017-0195-1. (ID: 24869)
  • Connelly , K., Mayora, O., Favela Vara, J., Jacobs, M., Matic, A., Nugent, C., & Wagner, S. (2017). The Future of Pervasive Health. IEEE Pervasive Computing, 16(1), 16-20. doi: 10.1109/MPRV.2017.17. (ID: 21314)
  • Miranda Bojórquez, D. A., Favela Vara, J., & Arnrich, B. (2017). Detecting Anxiety States when Caring for People with Dementia. METHODS OF INFORMATION IN MEDICINE, 56, 55-62. doi: 10.3414/ME15-02-0012. (ID: 21023)
2016
  • Chávez De La O, F., Fernández De Vega, F., Lanza, d., Benavides, C., Villegas Cortez, J., Trujillo Reyes, L., Olague Caballero, G., & Roman, G. (2016). Deploying massive runs of evolutionary algorithms with ECJ and Hadoop: Reducing interest points required for face recognition. INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 1-15. doi: 10.1177/1094342016678302. (ID: 21501)
  • Chervyakov, N., Babenko, M., Chernykh, A., Kuchukov, V. A., Deryabin, M. A., & Kuchukova, N. N. (2016). Development of a new method for computing modular multiplication in the residue number system. Neurocomputers: development, application, (10), 41-48. (ID: 21162)
  • Lopez Lopez, V. R., Trujillo Reyes, L., Legrand, P., Díaz Ramírez, V. H., & Olague Caballero, G. (2016). Comparison of Local Feature Extraction Paradigms Applied to Visual SLAM. Computación y Sistemas, 20(4), 565-587. doi: 10.13053/CyS-20-4-2500. (ID: 21261)
  • Chernykh, A., Schwiegelshohn, U., Talbi, E., & Babenko, M. (2016). Towards Understanding Uncertainty in Cloud Computing with risks of Confidentiality, Integrity and Availability. Journal of Computational Science. doi: 10.1016/j.jocs.2016.11.011. (ID: 20826)
  • López Nava, I. H. (2016). Variability Analysis of Therapeutic Movements using Wearable Inertial Sensors. JOURNAL OF MEDICAL SYSTEMS, 41(7). (ID: 24857)
  • Olague Caballero, G. (2016). In Natural Computing Series (Eds.), Evolutionary Computer Vision: The First Footprints (pp. 411). Springer. (ID: 21253)
  • Ruiz Lopez, U., & Murrieta-Cid, R. (2016). A differential pursuit/evasion game of capture between an omnidirectional agent and a differential drive robot, and their winning roles. International Journal of Control, 89(11), 2169-2184. doi: 10.1080/00207179.2016.1151078. (ID: 21584)
  • García Jacas, C. R., Marrero Ponce, Y., Barigye, S. J., Hernández Ortega, T., Cabrera Leyva, L., & Fernández Castillo, A. (2016). N-tuples Topological/Geometric Cutoffs for 3D N-Linear Algebraic Molecular Codifications: Variability, Linear Independence and QSAR Analysis. SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 27(12), 949-975. doi: 10.1080/1062936X.2016.1231714. (ID: 24867)
  • Miranda Bojorquez, E., Vergara Villegas, O., Cruz Sanchez, V., Garcia Alcaraz, J. L., & Favela Vara, J. (2016). Study on Mobile Augmented Reality Adoption for Mayo Language Learning. Mobile Information Systems. doi: 10.1155/2016/1069581. (ID: 20899)
  • Chávez González, E. L., Chavez Caliz, A. C., & Lopez Lopez, J. L. (2016). Affine invariants of generalized polygons and matching under affine transformations. COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS, 58, 60-69. doi: 10.1016/j.comgeo.2016.06.003. (ID: 21381)
  • Massobrio, R., Nesmachnow, S., Chernykh, A., Avetisyan, A., & Radchenko, G. (2016). Towards a Cloud Computing Paradigm for Big Data Analysis in Smart Cities. Proceedings of the Institute for System Programming of the RAS, 28(6), 121-140. doi: 10.15514/ISPRAS-2016-28(6)-9. (ID: 22670)
  • Johnson, E., Hervás, R., Gutierrez López, C., Mondejar, T., Ochoa, S. F., & Favela Vara, J. (2016). Assessing Empathy and Managing Emotions Through Interactions with an Affective Avatar. Health Informatics Journal. doi: 10.1177/1460458216661864. (ID: 20780)
  • López Nava, I. H. (2016). Wearable Inertial Sensors for Human Motion Analysis: A Review. IEEE Sensors Journal, 16(22). (ID: 24856)
  • Sergiyenko, O., Ivanov, M. V., Tyrsa, V. V., Kartashov, V. M., Rivas-López, M., Hernández Balbuena, D., Flores Fuentes, W., Rodríguez Quiñonez, J. C., Nieto Hipólito, J. I., Hernandez, W., & Chernykh, A. (2016). Data transferring model determination in robotic group. ROBOTICS AND AUTONOMOUS SYSTEMS, 83, 251-260. doi: 10.1016/j.robot.2016.04.003. (ID: 20823)
  • Miranda Bojórquez, D. A., Favela Vara, J., Ibarra Enríquez, C., & Hernández Cruz, N. (2016). Naturalistic Enactment to Elicit and Recognize Caregiver State Anxiety. JOURNAL OF MEDICAL SYSTEMS, 40, 192. doi: 10.1007/s10916-016-0551-0. (ID: 20779)
  • Colbes Sanabria, J. D., Corona de la Fuente, R. I., Lezcano Ríos, C., Rodríguez Uribe, D. O., & Brizuela Rodríguez, C. A. (2016). Protein side-chain packing problem: is there still room for improvement?. BRIEFINGS IN BIOINFORMATICS. doi: 10.1093/bib/bbw079. (ID: 20845)
  • Navarro Hernández, R. F., Rodríguez Urrea, M. D., & Favela Vara, J. (2016). Use and Adoption of an Assisted Cognition System to Support Therapies for People with Dementia. Computational and Mathematical Methods in Medicine, 2016. doi: 10.1155/2016/1075191. (ID: 20831)
  • Lanza, d., Chávez De La O, F., Fernández De Vega, F., García Valdez, M., Trujillo Reyes, L., & Olague Caballero, G. (2016). Profiting from Several Recommendation Algorithms using a Scalable Approach. In Oliver Schütze, L. Trujillo, P. Legrand, Y. Maldonado (Eds.), Studies in Computational Intelligence. Volume 663 (pp. 357-375). Springer. (ID: 21258)
  • Cortés Mendoza, J. M., Chernykh, A., Armenta Cano, F. A., Bouvry, P., Drozdov, A. Y., & Didelot, L. (2016). Bi-objective VoIP Service Management in Cloud Infrastructure. Scientific Programming, 2016. doi: 10.1155/2016/5706790. (ID: 19956)
  • González, I., López Nava, I. H., Fontecha, J., Muñoz Meléndez, A., Pérez San Pablo, A. I., & Quiñones Urióstegui, I. (2016). Comparison between passive vision-based system and a wearable inertial-based system for estimating temporal gait parameters related to the GAITRite electronic walkway. JOURNAL OF BIOMEDICAL INFORMATICS, 62, 210-223. (ID: 24855)
  • Tentori Espinosa, M. E., Mercado Chan, J. C., Cibrian Robles, F. L., & Escobedo Bravo, L. O. (2016). Pervasive Computing to support individuals with cognitive disabilities. In Mary Mehrnoosh Eshaghian-Wilner (Eds.), Wireless Computing in Medicine: From Nano to Cloud with Ethical and Legal Implications (pp. 137-185). John Wiley & Sons, Inc. (ID: 19514)
  • Tentori Espinosa, M. E., Escobedo Bravo, L. O., Hernández Flores, C. R., Matic, A., & Hayes, G. R. (2016). Pervasive displays in classrooms of children with severe autism. IEEE Pervasive Computing, 15(3), 48-57. doi: 10.1109/MPRV.2016.49. (ID: 20964)
  • Castro Quiroa, L. A., Beltrán Márquez, J., Favela Vara, J., Chávez González, E. L., Pérez Gamboa, M., Rodríguez, M., Navarro Hernández, R. F., & Quintana Contreras, E. (2016). Collaborative opportunistic sensing of human behavior with mobile phones. In Mary Mehrnoosh Eshaghian-Wilner (Eds.), Wireless Computing in Medicine: From Nano to Cloud with Ethical and Legal Implications (pp. 107-135). John Wiley & Sons, Inc. (ID: 21066)
  • Barba Jiménez, C., Ramírez Velarde, R., Chernykh, A., Rodriguez Dagnino, R., Nolazco, J., & Perez Cacerez, R. (2016). Cloud Based Video-on-Demand Service Model Ensuring Quality of Service and Scalability. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 70, 102-113. doi: 10.1016/j.jnca.2016.05.007. (ID: 19953)
  • Picos, K., Díaz Ramírez, V. H., Kober, V., Montemayor, A., & Pantrigo, J. (2016). Accurate three-dimensional pose recognition from monocular images using template matched filtering. Optical Engineering, 55(6), 11. doi: 10.1117/1.OE.55.6.063102. (ID: 20833)
  • Hidalgo Silva, H. H., & Gómez Treviño, E. (2016). Nonsmooth Nonconvex Optimization for Low-Frequency Geosounding Inversion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(6), 2197-2205. doi: 10.1109/JSTARS.2016.2549942. (ID: 20798)
  • Sandoval Ibarra, Y., Díaz Ramírez, V. H., Kober, V., & Karnaukhov, V. (2016). Speech Enhancement with Adaptive Spectral Estimators. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 61(6), 672-678. doi: 10.1134/S1064226916060218. (ID: 20835)
  • Sandoval Ibarra, Y., Díaz Ramírez, V. H., & Kober, V. (2016). Speech enhancement using robust estimators and rank-order statistics. COMPEL: The international journal for computation and mathematics in electrical and electronic engineering, 35(3), 1034-1045. doi: 10.1108/COMPEL-05-2015-0209. (ID: 20834)
  • Ruiz Lopez, U., & Isler, V. (2016). Capturing an omnidirectional evader in convex environments using a differential drive robot. IEEE Robotics and Automation Letters, 1(2), 1007-1013. doi: 10.1109/LRA.2016.2530854. (ID: 21591)
  • García Jacas, C. R., Contreras Torres, E., Marrero Ponce, Y., Pupo Meriño, M., Barigye, S. J., & Cabrera Leyva, L. (2016). Examining the predictive accuracy of the novel 3D N¿linear algebraic molecular codifications on benchmark datasets. Journal of Cheminformatics, 8(10), 1-16. doi: 10.1186/s13321-016-0122-x. (ID: 24866) (E)
  • Campos, W., Martínez Rebollar, A., Sanchez, W., Estrada Esquivel, H., Favela Vara, J., & Ortega, J. (2016). Inferring Social Isolation in Older Adults through Ambient Intelligence and Social Networking Sites. Computación y Sistemas, 20(1), 143-152. doi: 10.13053/CyS-20-1-2193. (ID: 20583)
  • von Lucken, C., Brizuela Rodríguez, C. A., & Barán Cegla, B. (2016). Experimental comparison of many-objective evolutionary preference-based methods in parallel framework. Journal of Computational Interdisciplanary Sciences, 7(1), 13-20. doi: 10.6062/jcis.2016.07.01.0103. (ID: 22381)
2015
  • Cortés Mendoza, J. M., Chernykh, A., Simionovici, A., Bouvry, P., Nesmachnow, S., Dorronsoro, B., & Didelot, L. (2015). VoIP service model for multi-objective scheduling in cloud infrastructure. International Journal of Metaheuristics, 4(2), 185-203. doi: 10.1504/IJMHEUR.2015.074251. (ID: 19904)
  • Garay, G. R., Chernykh, A., & Drozdov, A. Y. (2015). Comparative Analysis of Frameworks for the Performance Evaluation of Multi-tier Cloud Applications. Proceedings of the Institute for System Programming of the RAS, 27(6), 199-224. doi: 10.15514/ISPRAS-2015-27(6)-14. (ID: 22671)
  • Ming-Chien, C., Austin, T., Calisir, F., Chanjapalammootil, S., Davis, M., Favela Vara, J., Gan, H., Gefen, A., Haddas, R., Hahn-Goldberg, S., Hornero, R., Huang, Y., Øystein, J., Zhongwei, J., Katsanis, J. S., Lee, J., Lewis, G., Lovell, N., Luebbers, H., Morales, G., Matis, T., Matthews, J., Mazur, L., Ng, E., Oommen, K. J., Ormand, K., Rohde, T., Sánchez-Morillo, D., García Sanz-Calcedo, J., Sawan, M., Shen, C., Shieh, J., Su, C., Sun, L., Sun, M., Sun, Y., Tewolde, S., Williams, E., Yan, C., Zhang, J., & Yuan-Ting, Z. (2015). Healthcare Engineering Defined: A White Paper. Journal of Healthcare Engineering, 6(4), 635-648. doi: 10.1260/2040-2295.6.4.635. (ID: 19688)
  • Voronin, S., Makovetsky, A., Kober, V., & Karnaukhov, V. (2015). Properties of exact solutions to the problem of regularization of the total variation of one-variable functions. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 60(12), 1356-1359. doi: 10.1134/S1064226915120207. (ID: 19607)
  • Díaz Escobar, J., Kober, V., & Karnaukhov, V. (2015). Character recognition in degraded document images using morphological and phase-only filtering. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 60(12), 1360-1365. doi: 10.1134/S1064226915120050. (ID: 19608)
  • Pacheco Venegas, N. D., López Mariscal, P. G., & Andrade Aréchiga, M. (2015). Conceptualization, development and implementation of a web-based system for automatic evaluation of mathematical expressions. Computers & Education, 88, 15-28. doi: 10.1016/j.compedu.2015.03.021. (ID: 19145)
  • Marrero Ponce, Y., García Jacas, C. R., Barigye, S. J., Valdés Martiní, J. R., Rivera Borroto, O. M., Pino Urias, R., Cubillán, N., & Alvarado, Y. (2015). Optimum Search Strategies or Novel 3D Molecular Descriptors: is there a Stalemate?. Current Bioinformatics, 10(5), 533-564. doi: 10.2174/1574893610666151008011457. (ID: 24865) (E)
  • Ordóñez Guillén, N. E., & Martínez Pérez, I. M. (2015). Heuristic Search Space Generation for Maximum Clique Problem Inspired in Biomolecular Filtering. Journal of Signal Processing Systems. doi: 10.1007/s11265-015-1027-z. (ID: 20407)
  • Martínez García, A. I., Tentori Espinosa, M. E., & Rodríguez, M. (2015). Aplicaciones interactivas para la salud. In Jaime Muñoz Arteaga, Juan Manuel González Calleron, Alfredo Sánchez Huitrón (Eds.), La interacción humano-computadora en México (1 ed., pp. 347). Pearson. (ID: 18318)
  • Chernykh, A., Lozano Guzmán, L. M., Schwiegelshohn, U., Bouvry, P., Pecero, J. E., Nesmachnow, S., & Drozdov, A. Y. (2015). Online Bi-Objective Scheduling for IaaS Clouds Ensuring Quality of Service. Journal of Grid Computing, 1-18. doi: 10.1007/s10723-015-9340-0. (ID: 19900)
  • Cubillán, N., Marrero Ponce, Y., Ariza Rico, H., Barigye, S. J., García Jacas, C. R., Valdés Martiní, J. R., & Alvarado, Y. (2015). Novel global and local 3D atom-based linear descriptors of the Minkowski distance matrix: theory, diversity¿variability analysis and QSPR applications. JOURNAL OF MATHEMATICAL CHEMISTRY, 53(9), 2028-2064. doi: 10.1007/s10910-015-0533-3. (ID: 24863) (E)
  • Pineda Briseño, A., Menchaca Méndez, R., Chávez González, E. L., Guzmán, G., Menchaca Méndez, R., Quintero, R., Torres Cisneros, M., Moreno, M., & Díaz de León, J. L. (2015). A Probabilistic Approach to Location Estimation in MANETs. Ad Hoc & Sensor Wireless Networks, 28(1-2), 97-114. (ID: 20141)
  • Favela Vara, J., & Castro Quiroa, L. A. (2015). Technology and aging. In García-Peña, Carmen, Gutiérrez Robledo, Luis Miguel, Pérez Zepeda, Mario Ulises (Eds.), Aging Research - Methodological Issues (pp. 121-136). Springer. (ID: 19229)
  • Ortega Corral, C., Palafox Maestre, L. E., García Macías, J. A., Sánchez García, J., Aguilar, L., & Nieto Hipólito, J. I. (2015). Parameter Optimization of a Temperature and Relative Humidity Based Transmission Power Control Scheme for Wireless Sensor Networks. International Journal of Distributed Sensor Networks, 2015(ID 921319), 23. doi: 10.1155/2015/921319. (ID: 19505)
  • Clemente Torres, E. H., Chávez De La O, F., Fernández De Vega, F., & Olague Caballero, G. (2015). Self-adjusting focus of attention in combination with a genetic fuzzy system for improving a laser environment control device system. Applied Soft Computing, 32, 250-265. doi: 10.1016/j.asoc.2015.03.011. (ID: 20128)
  • Marrero Ponce, Y., Contreras Torres, E., García Jacas, C. R., Barigye, S. J., Cubillán, N., & Alvarado, J. A. (2015). Novel 3D bio-macromolecular bilinear descriptors for protein science: Predicting protein structural classes. JOURNAL OF THEORETICAL BIOLOGY, 374, 125-137. doi: 10.1016/j.jtbi.2015.03.026. (ID: 24862)
  • Kliazovich, D., Pecero, J. E., Chernykh, A., Bouvry, P., Khan, S., & Zomaya, A. Y. (2015). CA-DAG: Modeling Communication-Aware Applications for Scheduling in Cloud Computing. Journal of Grid Computing, 1-17. doi: 10.1007/s10723-015-9337-8. (ID: 19898)
  • Chávez González, E. L., García Villanueva, M., & Favela Vara, J. (2015). Fast and Accurate Language Detection in Short Texts using Contextual Entropy. Research in Computing Science, 90, 351-358. (ID: 21377)
  • López Nava, I. H. (2015). Estimation of temporal gait parameters using Bayesian models on acceleration signals. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 19(4). (ID: 24854)
  • Díaz Ramírez, V. H., Cuevas, A., Kober, V., Trujillo Reyes, L., & Awwal, A. (2015). Pattern recognition with composite correlation filters designed with multi-objective combinatorial optimization. Optics Communications, 338, 77-89. doi: 10.1016/j.optcom.2014.10.038. (ID: 18226)
  • Kober, V., Vokhmintcev, A., & Melnikov, A. (2015). Recursive calculation of discrete cosine transform for low resolution signal processing. DOKLADY MATHEMATICS, 91(2), 167-170. doi: 10.1134/S1064562415020167. (ID: 19609)
  • Dowding, D., Rebecca, R., Gardner, P., Fitzpatrick, G., Dykes, P., Favela Vara, J., Hamer, S., Whitewood-Moores, Z., Hardiker, N., Borycki, E., & Currie, L. (2015). Dashboards for improving patient care: Review of the literature. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 84(2), 87-100. doi: 10.1016/j.ijmedinf.2014.10.001. (ID: 17640)
  • Pino Urias, R., Barigye, S., Marrero Ponce, Y., García Jacas, C. R., Valdés Martiní, J. R., & Pérez Giménez, F. (2015). IMMAN: Free Software for Information Theory-based Chemometric Analysis. MOLECULAR DIVERSITY, 19(2), 305-319. doi: 10.1007/s11030-014-9565-z. (ID: 24861)
  • Makovetsky, A., & Kober, V. (2015). Analysis of the Gradient Descent Method in Problems of the Signals and Images Restoration. Pattern Recognition and Image Analysis, 25(1), 53-59. doi: 10.1134/S1054661815010101. (ID: 19611)
2014
  • Miramontes Jaramillo, D., Kober, V., Díaz Ramírez, V. H., & Karnaukhov, V. (2014). A Novel Image Matching Algorithm Based on Sliding Histograms of Oriented Gradients. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 59(12), 1446-1450. doi: 10.1134/S1064226914120146. (ID: 17679)
  • López Martínez, J. L., Kober, V., & Karnaukhov, V. (2014). Image Restoration with a Microscanning Imaging System. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 59(12), 1451-1464. doi: 10.1134/S1064226914120122. (ID: 17680)
  • García Jacas, C. R., Aguilera Mendoza, L., González Pérez, R., Marrero Ponce, Y., Acevedo Martínez, L., Barigye, S., & Avdeenko, T. (2014). Multi-Server Approach for High-Throughput Molecular Descriptors Calculation based on Multi-Linear Algebraic Maps. Molecular Informatics, 34(1), 60-69. doi: 10.1002/minf.201400086. (ID: 24860)
  • García Valdez, M., Trujillo Reyes, L., Merelo Guervós, J. J., Fernández De Vega, F., & Olague Caballero, G. (2014). The EvoSpace model for pool-based evolutionary algorithms. Journal of Grid Computing. doi: 10.1007/s10723-014-9319-2. (ID: 17585)
  • Jacobo, D., Ruiz Lopez, U., Murrieta-Cid, R., Becerra, H. M., & Marroquin, J. L. (2014). A visual feedback-based time-optimal motion policy for capturing an unpredictable evader. International Journal of Control, 88(4), 663-681. doi: 10.1080/00207179.2014.971434. (ID: 21589) (E)
  • Berkhoff, C., Ochoa, S. F., Pino, J. A., Favela Vara, J., Oliveira, J., & Guerrero Blanco, L. (2014). Clairvoyance: A framework to integrate shared displays and mobile computing devices. Future Generation Computer Systems, 34, 190-200. doi: 10.1016/j.future.2013.10.013. (ID: 17638)
  • Castro Quiroa, L. A., Favela Vara, J., & García Peña, C. (2014). Effects of communication media choice on the quality and efficacy of emergency calls assisted by a mobile nursing protocol tool. CIN-COMPUTERS INFORMATICS NURSING, 32(11), 550-558. doi: 10.1097/CIN.0000000000000101. (ID: 17628)
  • García Nájera, A., Brizuela Rodríguez, C. A., & Martínez Pérez, I. M. (2014). An efficient genetic algorithm for setup time minimization in PCB assembly. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY. doi: 10.1007/s00170-014-6510-3. (ID: 17805)
  • García Jacas, C. R., Marrero Ponce, Y., Barigye, S. J., & Valdés Martiní, J. R. (2014). N-Linear Algebraic Maps to Codify Chemical Structures: is a suitable generalization to the atom-pairs approaches?. CURRENT DRUG METABOLISM, 15(4), 441-469. doi: 10.2174/1389200215666140605124506. (ID: 24858) (E)
  • Fuentes, C., Hernández Flores, C. R., Escobedo Bravo, L. O., Herskovic, V., & Tentori Espinosa, M. E. (2014). Promoting Self-Reflection of Social Isolation Through Persuasive Mobile Technologies: The Case of Mother Caregivers of Children With Cancer. International Journal of Human-Computer Interaction, 30(10), 802-814. doi: 10.1080/10447318.2014.927279. (ID: 17777)
  • López Monzalvo, F., & Brizuela Rodríguez, C. A. (2014). An experimental analysis of the p-Median problem under uncertainty: an evolutionary algorithm approach. European Journal of Industrial Engineering, 8(4), 554-578. doi: 10.1504/EJIE.2014.064759. (ID: 16526)
  • Flores Granados, D. I., Sotelo Mundo, R., & Brizuela Rodríguez, C. A. (2014). A simple extension to the CMASA method for the prediction of catalytic residues in the presence of single point mutations. PLoS ONE, 9(9), e108513. doi: 10.1371/journal.pone.0108513. (ID: 17227)
  • Dozal García, L. F., Olague Caballero, G., Clemente Torres, E. H., & Hernández Morales, D. E. (2014). Brain programming for the evolution of an artificial dorsal stream. Cognitive Computation, 6(3), 528-557. doi: 10.1007/s12559-014-9251-6. (ID: 17584)
  • Díaz Ramírez, V. H., Picos, K., & Kober, V. (2014). Target tracking in nonuniform illumination conditions using locally adaptive correlation filters. Optics Communications, 323, 32-43. doi: 10.1016/j.optcom.2014.02.063. (ID: 17683)
  • von Lucken, C., Barán Cegla, B., & Brizuela Rodríguez, C. A. (2014). A survey on multi-objective evolutionary algorithms for many-objective problems. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 58(3), 707-756. doi: 10.1007/s10589-014-9644-1. (ID: 17806)
  • García Jacas, C. R., Marrero Ponce, Y., Acevedo Martínez, L., Barigye, S., Valdés Martiní, J. R., & Contreras Torres, E. (2014). QuBiLS-MIDAS: A Parallel Free-Software for Molecular Descriptors Computation based on Multi-Linear Algebraic Maps. JOURNAL OF COMPUTATIONAL CHEMISTRY, 35(18), 1395-1409. doi: 10.1002/jcc.23640. (ID: 24859) (E)
  • Kober, V., Aguilar González, P. M., & Karnaukhov, V. (2014). Automated object detection with a correlation filter designed from a noisy image. JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 59(6), 571-575. doi: 10.1134/S1064226914060035. (ID: 17681)
  • Ruiz Lopez, U., Marroquin, J. L., & Murrieta-Cid, R. (2014). Tracking an omnidirectional evader with a differential drive robot at a bounded variable distance. International Journal of Applied Mathematics and Computer Science, 24(2), 371-385. doi: 10.2478/amcs-2014-0028. (ID: 21587) (E)
  • Trejo Sánchez, J. A., & Fernández Zepeda, J. A. (2014). Distributed algorithm for the maximal 2-packing in geometric outerplanar graphs. Journal of Parallel and Distributed Computing, 74(3), 2193-2202. doi: 10.1016/j.jpdc.2013.12.002. (ID: 15572)
  • Kober, V., Díaz Ramírez, V. H., & Sandoval Ibarra, Y. (2014). Speech enhancement with local adaptive rank-order filtering. Computación y Sistemas, 18(1), 123-136. doi: 10.13053/CyS-18-1-2014-023. (ID: 17682)
  • Espinosa Curiel, I. E., Rodríguez Jacobo, J., Fernández Zepeda, J. A., & Gutiérrez Osorio, U. (2014). Software Process Improvement in Small Organizations: A Knowledge-Management Perspective. In Ricardo Colomo-Palacios, Jose Antonio Calvo-Manzano Villalón, Antonio de Amescua Seco, Tomás San Feliu Gilabert (Eds.), Agile Estimation Techniques and Innovative Approaches to Software Process Improvement (1 ed., pp. 180-197). IGI Global. (ID: 18329)
  • Ortega Corral, C., Palafox Maestre, L. E., García Macías, J. A., Sánchez García, J., & Aguilar Noriega, L. (2014). End-to-End message exchange in a deployable marine environment hierarchical wireless sensor network. International Journal of Distributed Sensor Networks, 2014, 18. doi: 10.1155/2014/950973. (ID: 16913)
  • Olague Caballero, G., Clemente Torres, E. H., Dozal García, L. F., & Hernández Morales, D. E. (2014). Evolving an artificial visual cortex for object recognition with brain programming. In O. Schütze et al (Eds.), Evolve - a Bridge Between Probability, Set Oriented Numerics, and Evolutionary Computation III (pp. 97-119). Springer. (ID: 16339)
  • Hernández Morales, D. E., Olague Caballero, G., Clemente Torres, E. H., & Dozal García, L. F. (2014). Optimizing a conspicuous point detector for camera trajectory estimation with brain programming. In O. Schütze et al (Eds.), Evolve - a Bridge Between Probability, Set Oriented Numerics, and Evolutionary Computation III (pp. 121-140). Springer. (ID: 15865)
  • Olague Caballero, G., Dozal García, L. F., Clemente Torres, E. H., & Ocampo Torres, A. I. (2014). Optimizing an artificial dorsal stream on purpose for visual attention. In O. Schütze et al (Eds.), Evolve - a Bridge Between Probability, Set Oriented Numerics, and Evolutionary Computation III (pp. 141-166). Springer. (ID: 15864)
2013
  • Cervantes Salido, V. M., Jaime Solis, O., Brizuela Rodríguez, C. A., & Martínez Pérez, I. M. (2013). Improving the design of sequences for DNA computing: a multiobjective evolutionary approach. Applied Soft Computing, 13(12), 4594-4607. doi: 10.1016/j.asoc.2013.06.010. (ID: 15863)
  • Díaz Ramírez, V. H., Contreras, V., Kober, V., & Picos, K. (2013). Real-time tracking of multiple objects using adaptive correlation filters with complex constraints. Optics Communications, 309, 265-278. doi: 10.1016/j.optcom.2013.07.044. (ID: 14383)
  • Escobedo Bravo, L. O., Ibarra Enríquez, C., Hernández, J., Alvelais, M., & Tentori Espinosa, M. E. (2013). Smart objects to support the discrimination training of children with autism. Personal and Ubiquitous Computing. doi: 10.1007/s00779-013-0750-3. (ID: 15591)
  • Yaurima Basaldua, V. H., Chernykh, A., & Torres Martínez, M. (2013). Análisis comparativo de algoritmos genéticos aplicados a calendarización de trabajos en un Grid computacional. Research in Computing Science, 63, 89-99. (ID: 15866)
  • Aguilar González, P. M., Kober, V., & Díaz Ramírez, V. H. (2013). Adaptive composite filters for pattern recognition in nonoverlaping scenes using noisy training images. Pattern Recognition Letters. doi: 10.1016/j.patrec.2013.09.016. (ID: 14382)
  • Andrade Aréchiga, M., López Mariscal, P. G., & Pulido Gutiérrez, J. (2013). Mathematics education and information technologies in emerging economies. Creative Education, 4(10A), 40-47. doi: 10.4236/ce.2013.410A005. (ID: 16340)
  • Ruiz Lopez, U., Murrieta-Cid, R., & Marroquin, J. L. (2013). Time-Optimal Motion Strategies for Capturing an Omnidirectional Evader Using a Differential Drive Robot. IEEE Transactions on Robotics, 29(5), 1180-1196. doi: 10.1109/TRO.2013.2264868. (ID: 21586) (E)
  • Ting, J., Snyder, H., Hoey, J., Mihailidis, A., Carrillo, M. C., & Favela Vara, J. (2013). Everyday patient-care technologies for Alzheimer's disease. IEEE Pervasive Computing, 12(4), 80-83. (ID: 17236)
  • Favela Vara, J., Cornejo García, R., Velázquez Montalvo, A. R., Martínez García, A. I., Castro Quiroa, L. A., & Tentori Espinosa, M. E. (2013). Nuevas tecnologías de información y comunicación en apoyo al envejecimiento activo y saludable. In Carmen García Peña, Sergio Sánchez García, Teresa Juárez Cedillo, Víctor Granados García (Eds.), Envejecimiento Saludable y Productivo (1 ed., pp. 24). Editorial Alfil. (ID: 17261)
  • Chernykh, A., Pecero, J. E., Barrondo Corral, A., & Schaeffer, E. (2013). Adaptive energy efficient scheduling in Peer-to-Peer desktop grids. Future Generation Computer Systems. doi: 10.1016/j.future.2013.07.011. (ID: 16188)
  • Lezama Barquet, A., Chernykh, A., & Yahyapour, R. (2013). Performance evaluation of infrastructure as service clouds with SLA constraints. Computación y Sistemas, 17(3), 401-411. (ID: 16809)
  • González García, J. L., Yahyapour, R., & Chernykh, A. (2013). Load balancing for parallel computations with the finite element method. Computación y Sistemas, 17(3), 299-316. (ID: 16811)
  • Chernykh, A., Luna García, R., & Ramírez Alcaraz, J. M. (2013). Editorial: Special issue on supercomputing in México: applications and technologies. Computación y Sistemas, 17(3), 285-288. (ID: 16810)
  • Pérez Castro, C. B., & Olague Caballero, G. (2013). Genetic programming as strategy for learning image descriptor operators. Intelligent Data Analysis, 17(4), 561-583. doi: 10.3233/IDA-130594. (ID: 15588)
  • Olague Caballero, G. (2013). In Christian Blum Ikerbasque (Eds.), Proceedings of the fifteenth annual conference on genetic and evolutionary computation. Association for Computing Machinery. (ID: 17183)
  • Navarro Hernández, R. F., Rodríguez Urrea, M. D., & Favela Vara, J. (2013). Intervention tailoring in augmented cognition systems for elders with dementia. IEEE Journal of Biomedical and Health Informatics, 18 (1), 361-367. doi: 10.1109/JBHI.2013.2267542. (ID: 16991)
  • Díaz Ramírez, V. H., & Kober, V. (2013). Robust speech processing using local adaptive non-linear filtering. IET Signal Processing, 7(5), 345-359. doi: 10.1049/iet-spr.2011.0206. (ID: 14384)
  • Caloca de la Parra, C. F., García Macías, J. A., & Delot, T. (2013). PLUGAM: Plug-In-Based Adaptation Middleware for Network Layer Protocols for Vehicular Ad Hoc Networks. International Journal of Distributed Sensor Networks, 9(7). doi: 10.1155/2013/415297. (ID: 16694)
  • Favela Vara, J. (2013). Behavior-Aware Computing: applications and challenges. IEEE Pervasive Computing, 12(3), 14-17. (ID: 17237)
  • Favela Vara, J., Castro Quiroa, L. A., Franco Marina, F., Juárez Cedillo, T., Espinel Bermúdez, C., Mora Altamirano, J., Rodríguez Urrea, M. D., & García Peña, C. (2013). Nurse home visits with or without alert buttons versus usual care in the frail elderly: a randomized controlled trial. Clinical Interventions in Aging, 8, 85-95. doi: 10.2147/CIA.S38618. (ID: 15048)
2012
  • Olguín Espinoza, J. M., Mayorga Ortiz, P., Hidalgo Silva, H. H., Vizcarra Corral, L. E., & Mendoza Cárdenas, M. L. (2012). VoCMex: a voice corpus in Mexican Spanish for research in speaker recognition. International Journal of Speech Technology. doi: 10.1007/s10772-012-9183-z. (ID: 14177)
  • Kober, V. (2012). Adaptive correlation filters for pattern recognition. In L.A. González Hernández, L.T. Aguilar Bustos, R. Sepúlveda Cruz, J.C. Nuñez Pérez, V.H. Díaz Ramírez (Eds.), Advances in Research & Developments in Digital Systems (pp. 229-242). Ciudad de México, México: Instituto Politécnico Nacional. (ID: 16048)
  • Ramos Michel, E. M., & Kober, V. (2012). Reconocimiento de Objetos Degradados Utilizando Filtros de Correlación. Filtros de correlación optimizados. Editorial Académica Española. (ID: 16044)
  • Fernández De Vega, F., Olague Caballero, G., Trujillo Reyes, L., & Lombraña González, D. (2012). Customizable execution environments for evolutionary computation using BOINC + virtualization. Natural Computing, 12 (2), 163-177. doi: 10.1007/s11047-012-9343-8. (ID: 15169)
  • Olague Caballero, G. (2012). In Soule et al (Eds.), Proceedings of the fourteenth international conference on genetic and evolutionary computation conference companion. Association for Computing Machinery. (ID: 17182)
  • Quezada Pina, A. A., Chernykh, A., González García, J. L., Hirales Carbajal, A., Ramírez Alcaraz, J. M., Schwiegelshohn, U., Yahyapour, R., & Miranda López, V. (2012). Adaptive parallel job scheduling with resource admissible allocation on two-level hierarchical grids. Future Generation Computer Systems, 28(7), 965-976. doi: 10.1016/j.future.2012.02.004. (ID: 15072)
  • Fajardo Delgado, D., Fernández Zepeda, J. A., & Bourgeois, A. G. (2012). Randomized self-stabilizing leader election in preference-based anonymous trees. International Journal of Foundations of Computer Science, 23(4), 853-875. doi: 10.1142/S0129054112400394. (ID: 11953)
  • Tentori Espinosa, M. E., Hayes, G. R., & Reddy, M. (2012). Pervasive computing for hospital, chronic, and preventive care. Foundations and Trends in Human-Computer Interaction, 5(1), 1-95. doi: 10.1561/1100000024. (ID: 15793)
  • Trujillo Reyes, L., Legrand, P., Olague Caballero, G., & Lévy Véhel, J. (2012). Evolving estimators or the pointwise Hölder exponent with genetic programming. Information Sciences, 209, 61-79. doi: 10.1016/j.ins.2012.04.043. (ID: 15170)
  • Villegas Cortez, J., Olague Caballero, G., Sossa Azuela, J. H., & Avilés Cruz, C. (2012). Evolutionary associative memories through genetic programming. In F.Fernández de Vega, J.I. Hidalgo Pérez, J. Lanchares (Eds.), Parallel Architectures & Bioinspired Algorithms (pp. 171-188). Springer-Verlag. (ID: 14948)
  • Andrade Aréchiga, M., López Mariscal, P. G., & López Morteo, G. A. (2012). Desarrollo y evaluación de un ambiente de aprendizaje para matemáticas: Plataforma PIAC (1st ed.). Editorial Académica Española. (ID: 16527)
  • González Campos, R., Rico Melgoza, J., & Chávez González, E. L. (2012). A New Formulation of the Fast Fractional Fourier Transform. SIAM Journal on Scientific Computing, 34(2), A1110-A1125. doi: 10.1137/100812677. (ID: 17718) (E)
  • Milukova, O., Kober, V., Karnaukhov, V., & Ovseyevich, I. A. (2012). Global and local methods of image restoration. Pattern Recognition and Image Analysis, 22(2), 333-336. doi: 10.1134/S1054661812020095. (ID: 16043)
  • López Martínez, J. L., & Kober, V. (2012). Blind image restoration for a microscanning imaging systems. In Aymeric Histace (Eds.), Image Restoration- Recent Advances and Applications (pp. 297-314). In-Tech. (ID: 16047)
  • Milukova, O., Kober, V., & Karnaukhov, V. (2012). Image restoration using two-dimensional variations. In Aymeric Histace (Eds.), Image Restoration-Recent Advances and Applications (pp. 185-200). In-Tech. (ID: 16046)
  • Kober, V. (2012). Space-variant image restoration with running sinusoidal transforms. In Aymeric Histace (Eds.), Image Restoration-Recent Advances and Applications (pp. 3-18). In-Tech. (ID: 16045)
  • Hirales Carbajal, A., Chernykh, A., Yahyapour, R., González García, J. L., Röblitz, T., & Ramírez Alcaraz, J. M. (2012). Multiple workflow scheduling strategies with user run time estimates on a Grid. Journal of Grid Computing, 10(2), 325-346. doi: 10.1007/s10723-012-9215-6. (ID: 16100)
  • Andrade Aréchiga, M., López Mariscal, P. G., & Lopez Morteo, G. A. (2012). Assessing effectiveness of learning units under the teaching unit model in an undergraduate mathematics course. Computers & Education, 59(2), 594-606. doi: 10.1016/j.compedu.2012.03.010. (ID: 16099)
  • Díaz Ramírez, V. H., Campos Trujillo, O. G., Kober, V., & Aguilar González, P. M. (2012). Multiclass pattern recognition using adaptive correlation filters with complex constraints. Optical Engineering, 51(3), 037203 1-12. doi: 10.1117/1.OE.51.3.037203. (ID: 16042)
  • López Mariscal, P. G. (2012). Los números cuentan, un ambiente de aprendizaje para matemáticas, basado en objetos de aprendizaje de carácter lúdico (1st ed.). Secretaría de Educación Pública. (ID: 16528)
  • Trabucchi, M., Puente Montejano, C. A., Comin, F. A., Olague Caballero, G., & Smith, S. V. (2012). Mapping erosion risk at the basin scale in a Mediterranean environment with opencast coal mines to target restoration actions. Regional Environmental Change. doi: 10.1007/s10113-012-0278-5. (ID: 15414)
  • López Martínez, J. L., & Kober, V. (2012). Blind adaptive method for image restoration using microscanning. IEICE Transactions on Information and Systems, E95-D(1), 280-284. doi: 10.1587/transinf.E95.D.280. (ID: 15875)
2011
  • Trujillo Reyes, L., Olague Caballero, G., Lutton, E., Fernández De Vega, F., Dozal García, L. F., & Clemente Torres, E. H. (2011). Speciation in behavioral space for evolutionary robotics. Journal of Intelligent & Robotic Systems, 64(3-4), 323-351. doi: 10.1007/s10846-011-9542-z. (ID: 12533)
  • Rodríguez Elías, O. M., & Martínez García, A. I. (2011). Diseño de sistemas y estrategias de gestión del conocimiento. Editorial Académica Española. (ID: 15237)
  • Aguilar González, P. M., & Kober, V. (2011). Design of correlation filters for pattern recognition using a noisy reference. Optics Communications, 285(5), 574-583. doi: 10.1016/j.optcom.2011.11.012. (ID: 14834)
  • Tapia Armenta, J. J., & López Mariscal, P. G. (2011). Adaptación de malla en modelos de interfase difusa (1st ed.). Editorial Académica Española. (ID: 14848)
  • Aguilar González, P. M., & Kober, V. (2011). Design of correlation filters for pattern recognition with disjoint reference image. Optical Engineering, 50(11), 117201. doi: 10.1117/1.3643723. (ID: 15874)
  • Rodríguez Jacobo, J., Espinosa Curiel, I. E., & Fernández Zepeda, J. A. (2011). Dimods: aplicación al modelo MoProSoft. Centro de Investigación Científica y de Educación Superior de Ensenada. (ID: 15600)
  • Castro Quiroa, L. A., Favela Vara, J., Pérez Gamboa, M., & García Peña, C. (2011). Opportunistic sensing for behavioral inferences in elder care. IEEE Pervasive Computing, 10(4), 54-55. (ID: 14536)
  • Espinosa Curiel, I. E., Rodríguez Jacobo, J., & Fernández Zepeda, J. A. (2011). A framework for evaluation and control of the factors that influence the software process improvement in small organizations. Journal of Software Maintenance and Evolution: Research and Practice. doi: 10.1002/smr.569. (ID: 15601)
  • Murrieta-Cid, R., Ruiz Lopez, U., Marroquin, J. L., Laumond, J., & Hutchinson, S. (2011). Tracking an omnidirectional evader with a differential drive robot. AUTONOMOUS ROBOTS, 31, 345-366. doi: 10.1007/s10514-011-9246-z. (ID: 27818)
  • Kober, V., Díaz Martínez, S., Karnaukhov, V., & Ovseyevich, I. A. (2011). Distortion invariant pattern recognition with local correlations. Pattern Recognition and Image Analysis, 21(2), 188-191. doi: 10.1134/S1054661811020556. (ID: 16023)
  • Milukova, O., Kober, V., Karnaukhov, V., & Ovseyevich, I. A. (2011). Iterative global and local methods of image restoration. Pattern Recognition and Image Analysis, 21(2), 309-311. doi: 10.1134/S1054661811020787. (ID: 16022)
  • Olague Caballero, G., & Trujillo Reyes, L. (2011). Evolutionary-computer-assisted design of image operators that detect interest points using genetic programming. Image and Vision Computing, 29(7), 484-498. doi: 10.1016/j.imavis.2011.03.004. (ID: 14807)
  • García Macías, J. A., Alvarez Lozano, J., Estrada Martínez, P. E., & Avilés López, E. (2011). Browsing the Internet of things with sentient visors. Computer, 44(5), 46-52. doi: 10.1109/MC.2011.128. (ID: 14537)
  • Tentori Espinosa, M. E., Rodríguez Urrea, M. D., & Favela Vara, J. (2011). An agent-based middleware for the design of activity-aware applications. IEEE Intelligent Systems, 26(3), 15-23. (ID: 14847)
  • Villegas Cortez, J., Sossa Azuela, J. H., Avilés Cruz, C., & Olague Caballero, G. (2011). Evolutionary associative memories through genetic programming. Revista Mexicana de Física, 57(2), 110-116. (ID: 14701)
  • Puente Montejano, C. A., Olague Caballero, G., Smith, S. V., Bullock Runquist, S. H., Hinojosa Corona, A., & González Botello, M. Á. (2011). A genetic programming approach to estimate vegetation cover in the context of soil erosion assessment. Photogrammetric Engineering and Remote Sensing, 77(4), 363-376. (ID: 14702)
  • Pinto Roa, D., Barán Cegla, B., & Brizuela Rodríguez, C. A. (2011). Routing and wavelength converter allocation in WDM networks: a multi-objective evolutionary optimization approach. Photonic Network Communications. doi: 10.1007/s11107-011-0304-4. (ID: 12466)
  • Ramírez Alcaraz, J. M., Chernykh, A., Yahyapour, R., Schwiegelshohn, U., Quezada Pina, A. A., González García, J. L., & Hirales Carbajal, A. (2011). Job allocation strategies with user run time estimates for online scheduling in hierarchical grids. Journal of Grid Computing, 9(1), 95-116. doi: 10.1007/s10723-011-9179-y. (ID: 15818)
  • Chávez De La O, F., Fernández, F., Alcalá, R., Alcalá Fernández, J., Olague Caballero, G., & Herrera, F. (2011). Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments. Applied Intelligence, 36(2), 407-423. doi: 10.1007/s10489-010-0268-6. (ID: 12798)
  • Rodríguez Urrea, M. D., & Favela Vara, J. (2011). Assessing the SALSA architecture for developing agent-based ambient computing applications. Science of Computer Programming, 77(1), 46-65. doi: 10.1016/j.scico.2010.12.003. (ID: 14846)
  • Alvarez Medina, D. A., & Hidalgo Silva, H. H. (2011). In Editorial Académica Española (Eds.), Modelo de Visualización de Documentos: cluster y outliers (VA). Editorial Académica Española. (ID: 15415)
2010
  • Tentori Espinosa, M. E., Gonzalez y Gonzalez, V. M., & Favela Vara, J. (2010). Lessons from evaluating ubiquitous applications in support of hospital work. In A. Coronato y G. de Pietro (Eds.), Pervasive and Smart Technologies for Healthcare (pp. 228-250). Medical Information Science Reference. (ID: 13112)
  • Castillo Topete, V. H., Martínez García, A. I., & Pulido Gutiérrez, J. (2010). A knowledge-based taxonomy of critical factors for adopting electronic health record systems by physicians: a systematic literature review. BMC Medical Informatics and Decision Making, 10(60). doi: 10.1186/1472-6947-10-60. (ID: 12837)
  • Chernykh, A., Schwiegelshohn, U., Yahyapour, R., & Kuzjurin, N. (2010). On-line hierarchical job scheduling on grids with admissible allocation. Journal of Scheduling, 13(5), 545-552. doi: 10.1007/s10951-010-0169-x. (ID: 14021)
  • López Martínez, J. L., Kober, V., & Ovseyevich, I. A. (2010). Image restoration based on camera microscanning. Pattern Recognition and Image Analysis, 20(3), 370-375. doi: 10.1134/S1054661810030132. (ID: 11981)
  • Milukova, O., Kober, V., Karnaukhov, V., & Ovseyevich, I. A. (2010). Spectral analysis of distorted images in restoration problems. Pattern Recognition and Image Analysis, 20(3), 335-340. doi: 10.1134/S1054661810030090. (ID: 11984)
  • Messeguer, R., Navarro Moldes, L., Damián Reyes, P., & Favela Vara, J. (2010). Context awarness for collaborative learning with uncertainty management. Journal of Universal Computer Science, 16(12), 1556-1576. (ID: 13874)
  • García Vázquez, J. P., Rodríguez Urrea, M. D., Tentori Espinosa, M. E., Saldaña Gutiérrez, D., Andrade Reátiga, A. G., & Espinoza González, A. (2010). An agent-based architecture for developing activity-aware systems for assisting elderly. Journal of Universal Computer Science, 16(12), 1500-1520. doi: 10.3217/jucs-016-12-1500. (ID: 15542)
  • Rodríguez Covilli, J., Ochoa, S. F., Pino, J. A., Herskovic, V., Favela Vara, J., Mejía Medina, D. A., & Moran y Solares, L. (2010). Towards a reference architecture for the design of mobile shared workspaces. Future Generation Computer Systems, 27(1), 109-118. doi: 10.1016/j.future.2010.05.014. (ID: 13836)
  • Aguilar González, P. M., Kober, V., & Ovseyevich, I. A. (2010). Pattern recognition in nonoverlapping background with noisy target image. Pattern Recognition and Image Analysis, 20(2), 163-168. doi: 10.1134/S1054661810020070. (ID: 11982)
  • Milukova, O., Kober, V., Karnaukhov, V., & Ovseyevich, I. A. (2010). Restoration of blurred images with conditional total variation method. Pattern Recognition and Image Analysis, 20(2), 179-184. doi: 10.1134/s1054661810020094. (ID: 11983)
  • Ascencio López, J. I., Meruvia Pastor, O., & Hidalgo Silva, H. H. (2010). Adaptive incremental stippling using the poisson-disk distribution. Journal of Graphics, GPU and Game Tools, 15(1), 29-47. doi: 10.1080/2151237x.2010.10390650. (ID: 12267)
  • Rodríguez Elías, O. M., Vizcaíno Barceló, A., Martínez García, A. I., Favela Vara, J., & Piattini, M. (2010). Aplicando KOFI: Un caso de estudio. In Coral Calero, Ma. Ángeles Moraga y Mario Piattini (Eds.), Calidad del Producto y Proceso Software (pp. 483-508). Editorial Ra-Ma. (ID: 14044)
  • Rodríguez Elías, O. M., Vizcaíno Barceló, A., Martínez García, A. I., Favela Vara, J., & Piattini, M. (2010). Mejorando la calidad del software con KOFI: Una Metodología para la gestión del conocimiento en procesos software. In Coral Calero, Ma. Ángeles Moraga y Mario Piattini (Eds.), Calidad del Producto y Proceso Software (pp. 419-445). Editorial Ra-Ma. (ID: 14045)
  • Mejía Medina, D. A., Favela Vara, J., & Moran y Solares, L. (2010). Understanding and supporting lightweight communication in hospital work. IEEE Transactions on Information Technology in Biomedicine, 14(1), 140-146. (ID: 13048)
2009
  • Alvarez Medina, D. A., & Hidalgo Silva, H. H. (2009). Conglomerado de documentos con Zero Inflated Poisson. In Hugo Adán Cruz Suárez, Francisco Tajonar Sanabria, Hortensia Reyes C. (Eds.), Aportaciones y Aplicaciones de la Probabilidad y la Estadística. Puebla, México: Benemérita Universidad Autónoma de Puebla. (ID: 12924)
  • Damián Reyes, P., Favela Vara, J., & Contreras Castillo, J. J. (2009). Uncertainty management in context-aware applications: Increasing usability and user trust. Wireless Personal Communications, 56(1), 37-53. doi: 10.1007/s11277-009-9882-1. (ID: 13308)
  • Martínez Pérez, I. M., Zimmermann, K. H., & Ignatova, Z. (2009). An autonomous DNA model for finite state automata. International Journal of Bioinformatics Research and Applications, 5(1), 81-96. doi: 10.1504/IJBRA.2009.022465. (ID: 12674) (E)
  • Olague Caballero, G., & Trujillo Reyes, L. (2009). A genetic programming approach to the design of interest point operators. In Patricia Melin, Janusz Kacprzyk, and Witold Pedrycz (Eds.), Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition (pp. 49-65). Springer. (ID: 12391)
  • Gasca Figueroa, E., Favela Vara, J., & Tentori Espinosa, M. E. (2009). Assisting support groups of patients with chronic diseases through persuasive computing. Journal of Universal Computer Science, 15(16), 3081-3100. (ID: 13076)
  • Rodríguez Elías, O. M., Vizcaíno Barceló, A., Martínez García, A. I., Favela Vara, J., & Piattini, M. (2009). Studying knowledge flows in software processes. In Enrique A. Belini (Eds.), Software Engineering and Development (1 ed., pp. 37-68). Nova Science Publishers. (ID: 13077)
  • Alvarez Medina, D. A., & Hidalgo Silva, H. H. (2009). Document analysis and visualization with zero-inflated poisson. Data Mining and Knowledge Discovery, 19(1), 1-23. doi: 10.1007/s10618-009-0127-4. (ID: 10282)
  • Avilés López, E., & García Macías, J. A. (2009). Building and employing cross-reality. Sentient visors for browsing the world. IEEE Pervasive Computing, 8(3), 57. (ID: 13796)
  • Trujillo Reyes, L., & Olague Caballero, G. (2009). Detecting scale-invariant regions using evolved image operators. In Stefano Cagnoni (Eds.), Studies in Computational Intelligence. Evolutionary Image Analysis and Signal Processing (pp. 21-40). Springer. (ID: 13177)
  • Pérez Castro, C. B., Olague Caballero, G., Lutton, E., & Fernández, F. (2009). Texture image segmentation using an interactive evolutionary approach. In Stefano Cagnoni (Eds.), Studies in Computational Intelligence. Evolutionary Image Analysis and Signal Processing (pp. 3-19). Springer. (ID: 13176)
  • Gonzalez y Gonzalez, V. M., Castro Quiroa, L. A., & Rodriguez Urrea, M. D. (2009). Technology and connections: Mexican immigrants in the U.S. IEEE Technology and Society Magazine, 28(2), 42-48. doi: 10.1109/MTS.2009.932805. (ID: 12160) (E)
  • Martínez Pérez, I. M., Ignatova, Z., & Zimmermann, K. H. (2009). Exploiting the features of the finite state automata for biomolecular computing. Recent Patents on DNA and Gene Sequences, 3(2), 130-138. doi: 10.2174/187221509788654142. (ID: 12667) (E)
  • Aguilar, L., Licea Sandoval, G., & García Macías, J. A. (2009). An experimental wireless sensor network applied in engineering courses. Computer Applications in Engineering Education. doi: 10.1002/cae.20364. (ID: 13797)
  • Palafox Maestre, L. E., & García Macías, J. A. (2009). Deploying a voice capture sensor network system for a secure ubiquitous home environment. International Journal of Communication Systems, 22. doi: 10.1002/dac.1019. (ID: 12203)
  • Rodríguez Urrea, M. D., Gonzalez y Gonzalez, V. M., Favela Vara, J., & Santana Mancilla, P. C. (2009). Home-based communication system for older adults and their remote family. Computers in Human Behavior, 25(3), 609-618. (ID: 11769)
  • Villegas Cortez, J., Sossa Azuela, J. H., Avilés Cruz, C., & Olague Caballero, G. (2009). Automatic synthesis of associative memories by genetic programming, a first approach. Research in Computing Science, 42, 91-102. (ID: 14067)
  • Tentori Espinosa, M. E., Segura Saldaña, D. D., & Favela Vara, J. (2009). Monitoring hospital patients using ambient displays. In Phillip Olla. y Joseph Tan (Eds.), Mobile Health Solutions for Biomedical Applications (pp. 143-158). Information Science Reference. (ID: 9837)
  • Kober, V., & Ovseyevich, I. A. (2009). Reliable detection of targets in motion-degraded images. Pattern Recognition and Image Analysis, 19(2), 315-320. doi: 10.1134/S1054661809020163. (ID: 13040)
  • Rodríguez Elías, O. M., Vizcaíno Barceló, A., Martínez García, A. I., Favela Vara, J., & Piattini, M. (2009). Knowledge flow identification. In Mehdi Khosrow-Pour (Eds.), Encyclopedia of Information Science and Technology (2 ed., pp. 2337-2342). IGI Global. (ID: 3212)
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2008
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2007
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2006
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2005
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2004
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2003
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2002
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2001
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2000
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1999
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1998
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1983
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