| UP-fall detection dataset: A multimodal approach L Martínez-Villaseñor, H Ponce, J Brieva, E Moya-Albor, ... Sensors 19 (9), 1988, 2019 | 68 | 2019 |
| Artificial Organic Networks: Artificial Intelligence Based Carbon Networks H Ponce, P Ponce, A Molina Springer 521, 228, 2014 | 55* | 2014 |
| A novel wearable sensor-based human activity recognition approach using artificial hydrocarbon networks H Ponce, MDL Martínez-Villaseñor, L Miralles-Pechuán Sensors 16 (7), 1033, 2016 | 43 | 2016 |
| Artificial organic networks H Ponce, P Ponce 2011 IEEE Electronics, Robotics and Automotive Mechanics Conference, 29-34, 2011 | 40 | 2011 |
| A flexible approach for human activity recognition using artificial hydrocarbon networks H Ponce, L Miralles-Pechuán, MDL Martínez-Villaseñor Sensors 16 (11), 1715, 2016 | 35 | 2016 |
| Doubly fed induction generator (DFIG) wind turbine controlled by artificial organic networks P Ponce, H Ponce, A Molina Soft Computing 22 (9), 2867-2879, 2018 | 28 | 2018 |
| Adaptive noise filtering based on artificial hydrocarbon networks: An application to audio signals H Ponce, P Ponce, A Molina Expert systems with applications 41 (14), 6512-6523, 2014 | 28 | 2014 |
| Artificial hydrocarbon networks fuzzy inference system H Ponce, P Ponce, A Molina Mathematical Problems in Engineering 2013, 2013 | 28 | 2013 |
| A novel methodology for optimizing display advertising campaigns using genetic algorithms L Miralles-Pechuán, H Ponce, L Martínez-Villaseñor Electronic Commerce Research and Applications 27, 39-51, 2018 | 27 | 2018 |
| A novel robust liquid level controller for coupled-tanks systems using artificial hydrocarbon networks H Ponce, P Ponce, H Bastida, A Molina Expert Systems with Applications 42 (22), 8858-8867, 2015 | 26 | 2015 |
| The development of an artificial organic networks toolkit for LabVIEW H Ponce, P Ponce, A Molina Journal of Computational Chemistry 36 (7), 478-492, 2015 | 25 | 2015 |
| A vision-based approach for fall detection using multiple cameras and convolutional neural networks: A case study using the UP-Fall detection dataset R Espinosa, H Ponce, S Gutiérrez, L Martínez-Villaseñor, J Brieva, ... Computers in biology and medicine 115, 103520, 2019 | 19 | 2019 |
| Artificial hydrocarbon networks fuzzy inference systems for CNC machines position controller A Molina, H Ponce, P Ponce, G Tello, M Ramírez The International Journal of Advanced Manufacturing Technology 72 (9-12 …, 2014 | 17 | 2014 |
| An indoor predicting climate conditions approach using Internet-of-Things and artificial hydrocarbon networks H Ponce, S Gutiérrez Measurement 135, 170-179, 2019 | 16 | 2019 |
| Interpretability of artificial hydrocarbon networks for breast cancer classification H Ponce, M de Lourdes Martinez-Villaseñor 2017 International Joint Conference on Neural Networks (IJCNN), 3535-3542, 2017 | 15 | 2017 |
| Artificial hydrocarbon networks: a new algorithm bio-inspired on organic chemistry H Ponce, P Ponce International Journal of Artificial Intelligence and Computational Research …, 2012 | 13 | 2012 |
| Stochastic parallel extreme artificial hydrocarbon networks: An implementation for fast and robust supervised machine learning in high-dimensional data H Ponce, PV de Campos Souza, AJ Guimarães, G Gonzalez-Mora Engineering Applications of Artificial Intelligence 89, 103427, 2020 | 11 | 2020 |
| An intelligent failure detection on a wireless sensor network for indoor climate conditions S Gutiérrez, H Ponce Sensors 19 (4), 854, 2019 | 10 | 2019 |
| Multimodal database for human activity recognition and fall detection L Martínez-Villaseñor, H Ponce, RA Espinosa-Loera Multidisciplinary Digital Publishing Institute Proceedings 2 (19), 1237, 2018 | 10 | 2018 |
| Artificial hydrocarbon networks for online sales prediction H Ponce, L Miralles-Pechúan, M de Lourdes Martínez-Villaseñor Mexican international conference on artificial intelligence, 498-508, 2015 | 10 | 2015 |
