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Hiram Ponce
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UP-fall detection dataset: A multimodal approach
L Martínez-Villaseñor, H Ponce, J Brieva, E Moya-Albor, ...
Sensors 19 (9), 1988, 2019
3012019
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
1122019
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
752016
Artificial Organic Networks: Artificial Intelligence Based Carbon Networks
H Ponce, P Ponce, A Molina
Springer 521, 228, 2014
67*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
582018
Artificial organic networks
H Ponce, P Ponce
2011 IEEE Electronics, Robotics and Automotive Mechanics Conference, 29-34, 2011
462011
A flexible approach for human activity recognition using artificial hydrocarbon networks
H Ponce, L Miralles-Pechuán, MDL Martínez-Villaseñor
Sensors 16 (11), 1715, 2016
432016
Doubly fed induction generator (DFIG) wind turbine controlled by artificial organic networks
P Ponce, H Ponce, A Molina
Soft Computing 22, 2867-2879, 2018
422018
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
372014
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
312020
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
312015
Click-event sound detection in automotive industry using machine/deep learning
R Espinosa, H Ponce, S Gutiérrez
Applied Soft Computing 108, 107465, 2021
292021
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
292018
An indoor predicting climate conditions approach using Internet-of-Things and artificial hydrocarbon networks
H Ponce, S Gutiérrez
Measurement 135, 170-179, 2019
282019
Artificial hydrocarbon networks fuzzy inference system
H Ponce, P Ponce, A Molina
Mathematical Problems in Engineering 2013 (1), 531031, 2013
282013
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
272017
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
272015
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
252020
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
252020
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
252020
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