| EEG signal analysis using classification techniques: Logistic regression, artificial neural networks, support vector machines, and convolutional neural networks MC Guerrero, JS Parada, HE Espitia Heliyon 7 (6), 2021 | 71 | 2021 |
| MOVPSO: Vortex multi-objective particle swarm optimization J Meza, H Espitia, C Montenegro, E Giménez, R González-Crespo Applied Soft Computing 52, 1042-1057, 2017 | 69 | 2017 |
| Statistical analysis of a multi-objective optimization algorithm based on a model of particles with vorticity behavior J Meza, H Espitia, C Montenegro, R González Crespo Soft Computing 20, 3521-3536, 2016 | 41 | 2016 |
| Review of artificial intelligence applied in decision-making processes in agricultural public policy JM Sánchez, JP Rodríguez, HE Espitia Processes 8 (11), 1374, 2020 | 35 | 2020 |
| Design methodology for the implementation of fuzzy inference systems based on boolean relations H Espitia, J Soriano, I Machón, H López Electronics 8 (11), 1243, 2019 | 29 | 2019 |
| Path planning of mobile robots using potential fields and swarms of Brownian particles HE Espitia, JI Sofrony 2011 IEEE Congress of Evolutionary Computation (CEC), 123-129, 2011 | 29 | 2011 |
| Clustering analysis for the pareto optimal front in multi-objective optimization LA Bejarano, HE Espitia, CE Montenegro Computation 10 (3), 37, 2022 | 26 | 2022 |
| Statistical analysis for vortex particle swarm optimization HE Espitia, JI Sofrony Applied Soft Computing 67, 370-386, 2018 | 25 | 2018 |
| Towards automated eye cancer classification via VGG and ResNet networks using transfer learning DF Santos-Bustos, BM Nguyen, HE Espitia Engineering Science and Technology, an International Journal 35, 101214, 2022 | 22 | 2022 |
| Sistema de inferencia difusa basado en relaciones Booleanas HEE Cuchango, JJS Méndez Ingeniería 15 (2), 2010 | 18 | 2010 |
| Vortex particle swarm optimization HE Espitia, JI Sofrony 2013 IEEE Congress on Evolutionary Computation, 1992-1998, 2013 | 17 | 2013 |
| Use of computational intelligence techniques to predict flooding in places adjacent to the Magdalena River JM Moreno, JM Sánchez, HE Espitia Heliyon 6 (9), 2020 | 15 | 2020 |
| Design and optimization of a fuzzy logic system for academic performance prediction JA Rojas, HE Espitia, LA Bejarano Symmetry 13 (1), 133, 2021 | 14 | 2021 |
| Proposal of an adaptive neurofuzzy system to control flow power in distributed generation systems HE Espitia, I Machón-González, H López-García, G Díaz Complexity 2019, 2019 | 13 | 2019 |
| Algoritmo para planear trayectorias de robots móviles, empleando campos potenciales y enjambres de partículas activas brownianas HE Espitia Cuchango, JI Sofrony Esmeral Ciencia e Ingeniería Neogranadina 22 (2), 75-96, 2012 | 12 | 2012 |
| Active and reactive power flow fuzzy controller for VSC HVDC using DBR and DBR type 2 HR Chamorro, NL Diaz, JJ Soriano, HE Espitia 2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin …, 2010 | 12 | 2010 |
| Aplicación del concresor basado en relaciones booleanas para sistemas de lógica difusa tipo dos H Espitia Trabajo de grado en Maestría en Ingeniería Industrial, Universidad Distrital …, 2009 | 11 | 2009 |
| Bibliometric analysis of publications discussing the use of the artificial intelligence technique agent-based models in sustainable agriculture JM Sánchez, JP Rodríguez, HE Espitia Heliyon 8 (12), 2022 | 10 | 2022 |
| Method for edges detection in digital images through the use of cellular automata K Angulo, D Gil, H Espitia International Conference on Computer Science, Electronics and Industrial …, 2019 | 10 | 2019 |
| Algoritmo de optimización basado en enjambres de partículas con comportamiento de vorticidad y búsqueda individual y grupal HE Espitia Cuchango, JI Sofrony Esmeral Tecnura 18 (42), 24-37, 2014 | 10 | 2014 |
