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Martinez-Villaseñor María de Lourdes
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UP-Fall Detection Dataset: A Multimodal Approach
JNMCPA Lourdes Martínez-Villaseñor *OrcID, Hiram Ponce *OrcID, Jorge Brieva ...
Sensors 19 (9), 1988, 2019
276*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
1032019
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
712016
A Novel Wearable Sensor-Based Human Activity Recognition Approach Using Artificial Hydrocarbon Networks
MLMVLMP Hiram Ponce
Sensors 16 (7), 28, 2016
71*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
562018
A flexible approach for human activity recognition using artificial hydrocarbon networks
H Ponce, L Miralles-Pechuán, MDL Martínez-Villaseñor
Sensors 16 (11), 1715, 2016
422016
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
262017
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
23*2014
Towards a ubiquitous user model for profile sharing and reuse
M de Lourdes Martinez-Villaseñor, M Gonzalez-Mendoza, ...
Sensors 12 (10), 13249-13283, 2012
232012
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
222020
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
202020
An intelligent failure detection on a wireless sensor network for indoor climate conditions
S Gutiérrez, H Ponce
Sensors 19 (4), 854, 2019
202019
Multimodal database for human activity recognition and fall detection
L Martínez-Villaseñor, H Ponce, RA Espinosa-Loera
Proceedings 2 (19), 1237, 2018
202018
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
182020
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
172019
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
172019
Sensor location analysis and minimal deployment for fall detection system
H Ponce, L Martinez-Villasenor, J Nunez-Martinez
IEEE Access 8, 166678-166691, 2020
152020
Design and analysis for fall detection system simplification
L Martinez-Villaseñor, H Ponce
JoVE (Journal of Visualized Experiments), e60361, 2020
152020
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
152015
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
142020
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Artikelen 1–20