| A comparison of nature inspired algorithms for multi-threshold image segmentation E Cuevas, H Sossa Expert Systems with Applications 40 (4), 1213-1219, 2013 | 204 | 2013 |
| Retinal vessel extraction using lattice neural networks with dendritic processing R Vega, G Sanchez-Ante, LE Falcon-Morales, H Sossa, E Guevara Computers in biology and medicine 58, 20-30, 2015 | 163 | 2015 |
| Circle detection using electro-magnetism optimization E Cuevas, D Oliva, D Zaldivar, M Pérez-Cisneros, H Sossa Information Sciences 182 (1), 40-55, 2012 | 162 | 2012 |
| Hybrid neural networks for big data classification G Hernández, E Zamora, H Sossa, G Téllez, F Furlán Neurocomputing 390, 327-340, 2020 | 117 | 2020 |
| A multi-threshold segmentation approach based on artificial bee colony optimization E Cuevas, F Sención, D Zaldivar, M Pérez-Cisneros, H Sossa Applied Intelligence 37, 321-336, 2012 | 106 | 2012 |
| Activity theory as a framework for building adaptive e-learning systems: A case to provide empirical evidence A Peña-Ayala, H Sossa, I Méndez Computers in Human Behavior 30, 131-145, 2014 | 95 | 2014 |
| Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC) E Cuevas, D Zaldívar, M Pérez-Cisneros, H Sossa, V Osuna Applied soft computing 13 (6), 3047-3059, 2013 | 94 | 2013 |
| Design of artificial neural networks using a modified particle swarm optimization algorithm BA Garro, H Sossa, RA Vazquez 2009 International Joint Conference on Neural Networks, 938-945, 2009 | 94 | 2009 |
| Adaptive and intelligent web based education system: Towards an integral architecture and framework A Canales, A Pena, R Peredo, H Sossa, A Gutierrez Expert systems with applications 33 (4), 1076-1089, 2007 | 94 | 2007 |
| Efficient training for dendrite morphological neural networks H Sossa, E Guevara Neurocomputing 131, 132-142, 2014 | 93 | 2014 |
| Artificial neural network synthesis by means of artificial bee colony (abc) algorithm BA Garro, H Sossa, RA Vazquez 2011 IEEE Congress of Evolutionary Computation (CEC), 331-338, 2011 | 90 | 2011 |
| Model indexing: The graph-hashing approach H Sossa, R Horaud IEEE Conference on Computer Vision and Pattern Recognition (CVPR'92), 811--814, 1992 | 78 | 1992 |
| On the computation of the Euler number of a binary object JH Sossa-Azuela Pattern recognition 29 (3), 471-476, 1996 | 75 | 1996 |
| A parametric method applied to phase recovery from a fringe pattern based on a genetic algorithm FJ Cuevas, JH Sossa-Azuela, M Servin Optics Communications 203 (3-6), 213-223, 2002 | 74 | 2002 |
| Spiking neural networks applied to the classification of motor tasks in EEG signals LEF CD Virgilio, H Sossa, JM Antelis Neural networks 122, 130-143, 2020 | 69 | 2020 |
| Polyhedral object recognition by indexing R Horaud, H Sossa Pattern recognition 28 (12), 1855-1870, 1995 | 67 | 1995 |
| Procesamiento y análisis digital de imágenes RR Morales, JHS Azuela Alfaomega, 2012 | 63 | 2012 |
| Differential evolution training algorithm for dendrite morphological neural networks F Arce, E Zamora, H Sossa, R Barrón Applied Soft Computing 68, 303-313, 2018 | 57 | 2018 |
| Cognitive maps: an overview and their application for student modeling A Peña, H Sossa, A Gutiérrez Computación y Sistemas 10 (3), 230-250, 2007 | 56* | 2007 |
| Dendrite morphological neurons trained by stochastic gradient descent E Zamora, H Sossa Neurocomputing 260, 420-431, 2017 | 55 | 2017 |
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