UP-Fall Detection Dataset: A Multimodal Approach JNMCPA Lourdes Martínez-Villaseñor *OrcID, Hiram Ponce *OrcID, Jorge Brieva ... Sensors 19 (9), 1988, 2019 | 301* | 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 | 112 | 2019 |
A Novel Wearable Sensor-Based Human Activity Recognition Approach Using Artificial Hydrocarbon Networks MLMVLMP Hiram Ponce Sensors 16 (7), 28, 2016 | 76* | 2016 |
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 | 58 | 2018 |
A flexible approach for human activity recognition using artificial hydrocarbon networks H Ponce, L Miralles-Pechuán, MDL Martínez-Villaseñor Sensors 16 (11), 1715, 2016 | 43 | 2016 |
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 |
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 | 25 | 2020 |
Towards a ubiquitous user model for profile sharing and reuse M de Lourdes Martinez-Villaseñor, M Gonzalez-Mendoza, ... Sensors 12 (10), 13249-13283, 2012 | 23 | 2012 |
Application of convolutional neural networks for fall detection using multiple cameras R Espinosa, H Ponce, S Gutiérrez, L Martínez-Villaseñor, J Brieva, ... Challenges and Trends in Multimodal Fall Detection for Healthcare, 97-120, 2020 | 22 | 2020 |
Enrichment of Learner Profile with Ubiquitous User Model Interoperability ID Del Valle, M de Lourdes Martínez-Villaseñor, M González-Mendoza Computación y Sistemas 18 (2), 359-374, 2014 | 22* | 2014 |
Multimodal database for human activity recognition and fall detection L Martínez-Villaseñor, H Ponce, RA Espinosa-Loera Proceedings 2 (19), 1237, 2018 | 21 | 2018 |
A non-contact heart rate estimation method using video magnification and neural networks E Moya-Albor, J Brieva, H Ponce, L Martínez-Villaseñor IEEE Instrumentation & Measurement Magazine 23 (4), 56-62, 2020 | 20 | 2020 |
An intelligent failure detection on a wireless sensor network for indoor climate conditions S Gutiérrez, H Ponce Sensors 19 (4), 854, 2019 | 20 | 2019 |
Deep learning for multimodal fall detection L Martínez-Villaseñor, H Ponce, K Perez-Daniel 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 19 | 2019 |
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 | 19 | 2019 |
Sensor location analysis and minimal deployment for fall detection system H Ponce, L Martinez-Villasenor, J Nunez-Martinez IEEE Access 8, 166678-166691, 2020 | 18 | 2020 |
Design and analysis for fall detection system simplification L Martinez-Villaseñor, H Ponce JoVE (Journal of Visualized Experiments), e60361, 2020 | 18 | 2020 |
A deep q-learning/genetic algorithms based novel methodology for optimizing COVID-19 pandemic government actions L Miralles-Pechuán, F Jiménez, H Ponce, L Martínez-Villaseñor arXiv preprint arXiv:2005.07656, 2020 | 15 | 2020 |
Artificial hydrocarbon networks for online sales prediction H Ponce, L Miralles-Pechúan, M de Lourdes Martínez-Villaseñor Advances in Artificial Intelligence and Its Applications: 14th Mexican …, 2015 | 15 | 2015 |
Challenges and Trends in Multimodal Fall Detection for Healthcare H Ponce, L Martínez-Villaseñor, J Brieva, E Moya-Albor Springer, 2020 | 12 | 2020 |