| UP-fall detection dataset: A multimodal approach L Martínez-Villaseñor, H Ponce, J Brieva, E Moya-Albor, ... Sensors 19 (9), 1988, 2019 | 343 | 2019 |
| 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 | 129 | 2019 |
| A novel wearable sensor-based human activity recognition approach using artificial hydrocarbon networks H Ponce, ML Martínez-Villaseñor, L Miralles-Pechuán Sensors 16 (7), 1033, 2016 | 76 | 2016 |
| Artificial Organic Networks: Artificial Intelligence Based Carbon Networks H Ponce, P Ponce, A Molina Springer 521, 228, 2014 | 68* | 2014 |
| 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 | 61 | 2018 |
| Artificial organic networks H Ponce, P Ponce 2011 IEEE Electronics, Robotics and Automotive Mechanics Conference, 29-34, 2011 | 46 | 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 | 44 | 2016 |
| Doubly fed induction generator (DFIG) wind turbine controlled by artificial organic networks P Ponce, H Ponce, A Molina Soft Computing 22, 2867-2879, 2018 | 43 | 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 | 37 | 2014 |
| A contactless respiratory rate estimation method using a hermite magnification technique and convolutional neural networks J Brieva, H Ponce, E Moya-Albor Applied Sciences 10 (2), 607, 2020 | 33 | 2020 |
| Click-event sound detection in automotive industry using machine/deep learning R Espinosa, H Ponce, S Gutiérrez Applied Soft Computing 108, 107465, 2021 | 32 | 2021 |
| 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 | 31 | 2015 |
| A new vision-based method using deep learning for damage inspection in wind turbine blades S Moreno, M Peña, A Toledo, R Treviño, H Ponce 2018 15th International Conference on Electrical Engineering, Computing …, 2018 | 30 | 2018 |
| A methodology based on deep q-learning/genetic algorithms for optimizing covid-19 pandemic government actions L Miralles-Pechuán, F Jiménez, H Ponce, L Martínez-Villaseñor Proceedings of the 29th ACM international conference on information …, 2020 | 28 | 2020 |
| An indoor predicting climate conditions approach using Internet-of-Things and artificial hydrocarbon networks H Ponce, S Gutiérrez Measurement 135, 170-179, 2019 | 28 | 2019 |
| Artificial hydrocarbon networks fuzzy inference system H Ponce, P Ponce, A Molina Mathematical Problems in Engineering 2013 (1), 531031, 2013 | 28 | 2013 |
| A concise review on sensor signal acquisition and transformation applied to human activity recognition and human–robot interaction L Martínez-Villaseñor, H Ponce International Journal of Distributed Sensor Networks 15 (6), 1550147719853987, 2019 | 27 | 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 | 27 | 2017 |
| 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 | 27 | 2015 |
| Vision-based analysis on leaves of tomato crops for classifying nutrient deficiency using convolutional neural networks C Cevallos, H Ponce, E Moya-Albor, J Brieva 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 26 | 2020 |
