Martínez-Villaseñor, L., Ponce, H., A concise review on sensor signal acquisition and transformation applied to human activity recognition and human–robot interaction, International Journal of Distributed Sensor Networks 15(6), 2019. DOI: http://www.doi.org/10.1177/1550147719853987
Ponce, H., Gutiérrez, S., An indoor predicting climate conditions approach using Internet-of-Things and artificial hydrocarbon networks, Measurement 135: 170–179, 2019. DOI: http://www.doi.org/10.1016/j.measurement.2018.11.043
Gutiérrez, S., Ponce, H., An intelligent failure detection on a wireless sensor network for indoor climate conditions, Sensors 19(4), 2019. DOI: http://www.doi.org/10.3390/s19040854
Martínez-Villaseñor, L., Ponce, H., González-Mendoza, M., Fuzzy aggregation of similarity values for electronic health record interoperability, Journal of Intelligent and Fuzzy Systems 36(2): 1573–1585, 2019. DOI: http://www.doi.org/10.3233/JIFS-18526
Rosales, A., Ponce, P., Ponce, H., Molina, A., A robust control scheme for renewable-based distributed generators using artificial hydrocarbon networks, Energies 12(10), 2019. DOI: http://www.doi.org/10.3390/en12101896
Ponce, H., Moya-Albor, E., Brieva, J., A novel artificial organic control system for mobile robot navigation in assisted living using vision-and neural-based strategies, Computational Intelligence and Neuroscience, 2018. DOI: http://www.doi.org/10.1155/2018/4189150
Miralles-Pechuán, L., Ponce, H., Martínez-Villaseñor, L., A novel methodology for optimizing display advertising campaigns using genetic algorithms, Electronic Commerce Research and Applications 27: 39–51, 2018. DOI: http://www.doi.org/10.1016/j.elerap.2017.11.004
Martínez-Villaseñor, L., Ponce, H., Marmolejo-Saucedo, J.A., Ramírez, J.M., Hernández, A., Analysis of constraint-handling in metaheuristic approaches for the generation and transmission expansion planning problem with renewable energy, Complexity, 2018. DOI: http://www.doi.org/10.1155/2018/1438196
Moya-Albor, E., Ponce, H., Brieva, J., An edge detection method using a fuzzy ensemble approach, Acta Polytechnica Hungarica 14(3): 149–168, 2017. DOI: http://www.doi.org/10.12700/APH.14.3.2017.3.9
Ponce, H., Miralles-Pechuán, L., De Lourdes Martínez-Villaseñor, M., A flexible approach for human activity recognition using artificial hydrocarbon networks, Sensors 16(11), 2016. DOI: http://www.doi.org/10.3390/s16111715
Ponce, H., Martínez-Villaseñor, M.D.L., Miralles-Pechuán, L., A novel wearable sensor-based human activity recognition approach using artificial hydrocarbon networks, Sensors 16(7), 2016. DOI: http://www.doi.org/10.3390/s16071033
Ponce, H., Ponce, P., Bastida, H., Molina, A., A novel robust liquid level controller for coupled-tanks systems using artificial hydrocarbon networks, Expert Systems with Applications 42(22): 8858–8867, 2015. DOI: http://www.doi.org/10.1016/j.eswa.2015.07.041
Barba-J, L., Moya-Albor, E., Escalante-Ramírez, B., Brieva, J., Vallejo Venegas, E., Segmentation and optical flow estimation in cardiac CT sequences based on a spatiotemporal PDM with a correction scheme and the Hermite transform (2016) Computers in Biology and Medicine, 69, pp. 189-202, DOI: http://www.doi.org/10.1016/j.compbiomed.2015.12.021
Moya-Albor, E., Escalante-Ramírez, B., Vallejo, E. (2013), “Optical flow estimation in cardiac CT images using the steered Hermite transform”. Signal Processing: Image Communication, 28 (3), pp. 267-291, ISSN: 09235965, DOI: http://www.doi.org/10.1016/j.image.2012.11.005
Conference Proceedings
Ponce, H., Souza, P.V.C., Intelligent control navigation emerging on multiple mobile robots applying social wound treatment, IEEE 33rd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019, 559–564, 2019. DOI: http://www.doi.org/10.1109/IPDPSW.2019.00098
Penafort-Asturiano, C.J., Santiago, N., Nunez-Martinez, J.P., Ponce, H., Martinez-Villasenor, L., Challenges in data acquisition systems: lessons learned from fall detection to nanosensors, Nanotechnology for Instrumentation and Measurement, NANOfIM 2018, 2019. DOI: http://www.doi.org/10.1109/NANOFIM.2018.8688609
Moreno, S., Pena, M., Toledo, A., Trevino, R., Ponce, H., A new vision-based method using deep learning for damage inspection in wind turbine blades, 15th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2018, 2018. DOI: http://www.doi.org/10.1109/ICEEE.2018.8533924
Cervantes, A., Garcia, P., Herrera, C., Morales, E., Tarriba, F., Tena, E., Ponce, H., A conceptual design of a firefighter drone, 15th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2018, 2018. DOI: http://www.doi.org/10.1109/ICEEE.2018.8533926
Alvarez, J., Campos, G., Enriquez, V., Miranda, A., Rodriguez, F., Ponce, H., Nurse-bot: a robot system applied to medical assistance, International Conference on Mechatronics, Electronics and Automotive Engineering, ICMEAE 2018, 56–59, 2018. DOI: http://www.doi.org/10.1109/ICMEAE.2018.00017
Alan, J., Jimenez, G., Maldonado, E., Silvestre, A., Poza, D., Vargas, M., Ponce, H., Design of an automated sweeper for public parks, International Conference on Mechatronics, Electronics and Automotive Engineering, ICMEAE 2018, 114–117, 2018. DOI: http://www.doi.org/10.1109/ICMEAE.2018.00028
Acevedo, E., Beltran, A., Castellanos, M., Chaverra, L., Gonzalez, G., Sarmiento, M., Ponce, H., An implementation of a monocular 360-degree vision system for mobile robot navigation, International Conference on Mechatronics, Electronics and Automotive Engineering, ICMEAE 2018, 21–25, 2018. DOI: http://www.doi.org/10.1109/ICMEAE.2018.00011
Moya-Albor, E., Brieva, J., Ponce, H., Rivas-Scott, O., Gomez-Pena, C., Heart rate estimation using Hermite transform video magnification and deep learning, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2595–2598, 2018. DOI: http://www.doi.org/10.1109/EMBC.2018.8512879
Ponce, H., Brieva, J., Moya-Albor, E., Distance estimation using a bio-inspired optical flow strategy applied to neuro-robotics, International Joint Conference on Neural Networks, 2018. DOI: http://www.doi.org/10.1109/IJCNN.2018.8489597
Ponce, H., González-Mora, G., Martínez-Villaseñor, L., A reinforcement learning method for continuous domains using artificial hydrocarbon networks, International Joint Conference on Neural Networks, 2018. DOI: http://www.doi.org/10.1109/IJCNN.2018.8489088
Ponce, H., Acevedo, M., Design and equilibrium control of a force-balanced one-leg mechanism, Lecture Notes in Computer Science, 11289: 276–290, 2018. DOI: http://www.doi.org/10.1007/978-3-030-04497-8_23
Ponce, H., Martínez-Villaseñor, M.L., Versatility of artificial hydrocarbon networks for supervised learning, Lecture Notes in Computer Science, 10632: 3–16, 2018. DOI: http://www.doi.org/10.1007/978-3-030-02837-4_1
Brieva, J., Moya-Albor, E., Rivas-Scott, O., Ponce, H., Non-contact breathing rate monitoring system based on a Hermite video magnification technique, Proceedings of SPIE, 10975, 2018. DOI: http://www.doi.org/10.1117/12.2513608
Ponce, H., González, G., Miralles-Pechuán, L., Martínez-Villaseñor, M.L., Human activity recognition on mobile devices using artificial hydrocarbon networks, Lecture Notes in Computer, 10632: 17–29, 2018. DOI: http://www.doi.org/10.1007/978-3-030-02837-4_2
Martínez-Villaseñor, L., Ponce, H., Marmolejo, J.A., Ramírez, J.M., Hernández, A., A genetic algorithm to solve power system expansion planning with renewable energy, Lecture Notes in Computer Science, 11288: 3–17, 2018. DOI: http://www.doi.org/10.1007/978-3-030-04491-6_1
Moya-Albor, E., Brieva, J., A fast and bio-inspired optical flow approach in cardiac MRI sequences (2018) 2018 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2018, p. 1., DOI: http://www.doi.org/10.1109/GMEPE-PAHCE.2018.8400728
Hernandez-Mosti, J., Cañete, M., Vaillard, J., Reza, D., Moya-Albor, E., Brieva, J., Thoughts and emotion assimilation and detonation through VR for people with ASD (2018) Proc. SPIE 10975, 14th International Symposium on Medical Information Processing and Analysis, 109750C, 2018-December.
Vargas-Quintero, L., Moya-Albor, E., Escalante-Ramírez, B., Camargo, L., Guzmán Huerta, M., Brieva, J., Segmentation and motion estimation applied to fetal heart analysis using a multi-texture active appearance model and an optical flow approach (2018) Proc. SPIE 10975, 14th International Symposium on Medical Information Processing and Analysis, 1097513, 2018-December.
Lopez-Tagle, E., Siqueiros, E., Ponce, H., Design of an automated hive for bee proliferation and crop betterment, 14th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2017, 2017. DOI: http://www.doi.org/10.1109/ICEEE.2017.8108878
Ponce, H., De Lourdes Martinez-Villasenor, M., Interpretability of artificial hydrocarbon networks for breast cancer classification, International Joint Conference on Neural Networks, 3535–3542, 2017. DOI: http://www.doi.org/10.1109/IJCNN.2017.7966301
Becker, J., Ponce, C., Rodriguez, J., Vazquez, D., Ponce, H., Can crush: an automated waste compacting system for public areas, IEEE Mexican Humanitarian Technology Conference, MHTC 2017, 149–152, 2017. DOI: http://www.doi.org/10.1109/MHTC.2017.7926206
Mondragon, A., De Hoyos, A., Trejo, A., Gonzalez, M., Ponce, H., Medi-Kit: developing a solution to improve attention on medical treatment, IEEE Mexican Humanitarian Technology Conference, MHTC 2017, 28–33, 2017. DOI: http://www.doi.org/10.1109/MHTC.2017.7926207
Anzures, K., Cazares, H., Scott, A., Soberon, F., Ponce, H., Kynekilektros: an integrated system for augmenting capabilities on street trips, IEEE Mexican Humanitarian Technology Conference, MHTC 2017, 18–21, 2017. DOI: http://www.doi.org/10.1109/MHTC.2017.7926205
Galvan, E., Gonzalez, G., Hernandez, G., Manon, S., Ponce, H., Electric wheelchair module: converting a mechanical to an electric wheelchair, IEEE Mexican Humanitarian Technology Conference, MHTC 2017, 70–74, 2017. DOI: http://www.doi.org/10.1109/MHTC.2017.7926208
Ponce, H., A novel artificial hydrocarbon networks based value function approximation in hierarchical reinforcement learning, Lecture Notes in Computer Science, 10062: 211–225, 2017. DOI: http://www.doi.org/10.1007/978-3-319-62428-0_18
Ponce, H., Gutiérrez, S., Montoya, A., Predicting climate conditions using internet-of- things and artificial hydrocarbon networks, 7th IMEKO TC19 Symposium on Environmental Instrumentation and Measurements, EnvIMEKO 2017, 62–66, 2017. DOI: http://www.doi.org/10.1016/j.measurement.2018.11.043
Brieva, J., Moya-Albor, E., Gomez-Coronel, S.L., Ponce, H., Video motion magnification for monitoring of vital signals using a perceptual model, Proceedings of SPIE, 10160, 2017. DOI: http://www.doi.org/10.1117/12.2256971
de Lourdes Martínez-Villaseñor, M., González-Mendoza, M., Fuzzy-based approach of concept alignment (2017) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10586 LNCS, pp. 172-180. DOI: http://www.doi.org/10.1007/978-3-319-67585-5_18
Martínez-Villaseñor, M.L., González-Mendoza, M., Overview of a framework for ubiquitous user models interoperability (2017) Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 179 LNICST, pp. 185-188. DOI: http://www.doi.org/10.1007/978-3-319-49622-1_20
Brieva, J., Moya-Albor, E., Phase-based motion magnification video for monitoring of vital signals using the Hermite transform (2017) Proceedings of SPIE - The International Society for Optical Engineering, 10572, art. no. 105720M, DOI: http://www.doi.org/10.1117/12.2285959
Pardo, J.M., Moya-Albor, E., Ibarra, G.O., Brieva, J., Image analysis applied to a freeze-concentration water purification system (2017) 7th IMEKO TC19 Symposium on Environmental Instrumentation and Measurements, EnvIMEKO 2017, 2017-August, pp. 16-19.
Moya-Albor, E., Mira, C., Brieva, J., Escalante-Ramirez, B., Venegas, E.V., 3D optical flow estimation in cardiac CT images using the hermite transform (2017) Proceedings of SPIE - The International Society for Optical Engineering, 10160, art. no. 1016010, DOI: http://www.doi.org/10.1117/12.2256777
Guzmán, D.T., Brieva, J., Detection of non-homogeneous cycles in blood flow signals in coronary grafts (2017) Proceedings of SPIE - The International Society for Optical Engineering 10160, art. no. 1016004 , DOI: http://www.doi.org/10.1117/12.2256796
Martínez-Villaseñor, M.L., Miralles-Pechuan, L., González-Mendoza, M., Interoperability in electronic health records through the mediation of ubiquitous user model (2016) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10069 LNCS, pp. 191-200. DOI: http://www.doi.org/10.1007/978-3-319-48746-5_19
Martínez-Velasco, A., Zenteno, J.C., Martínez-Villaseñor, L., Miralles-Pechúan, L., Pérez-Ortiz, A., Estrada-Mena, F.J., Machine learning method to establish the connection between age related macular degeneration and some genetic variations (2016) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10070 LNCS, pp. 28-39. DOI: http://www.doi.org/10.1007/978-3-319-48799-1_4
Gomez-Coronel, S.L., Moya-Albor, E., Escalante-Ramírez, B., Brieva, J., Watermarked cardiac CT image segmentation using deformable models and the Hermite transform (2015) Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 9287, art. no. 928717, DOI: http://www.doi.org/10.1117/12.2073432
Carreras-Cruz, M.V., Martínez-Villaseñor, M.L., Rosas-Pérez, K.N., Mass segmentation in digital mammograms (2015) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9456, pp. 110-115. DOI: http://www.doi.org/10.1007/978-3-319-26508-7_11
De Lourdes Martínez-Villaseñor, M., González-Mendoza, M., Sharing and reusing context information in ubiquitous computing environments (2015) Proceedings of Special Session 2014 13th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2014, art. no. 7222869, pp. 227-230. DOI: http://www.doi.org/10.1109/MICAI.2014.41
Brieva, J., Moya-Albor, E., Escalante-Ramírez, B., A level set approach for Left Ventricle detection in CT images using shape segmentation and optical flow (2015) Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 9287, art. no. 92870K, DOI: http://www.doi.org/10.1117/12.2073869
Ponce, H., Bio-inspired training algorithms for artificial hydrocarbon networks: a comparative study, 13th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2014, 162–166, 2015. DOI: http://www.doi.org/10.1109/MICAI.2014.31
Ponce, H., de Lourdes Martínez-Villaseñor, M., Miralles-Pechúan, L., Comparative analysis of artificial hydrocarbon networks and data-driven approaches for human activity recognition, Lecture Notes in Computer Science, 9454: 150–161, 2015. DOI: http://www.doi.org/10.1007/978-3-319-26401-1_15
Brieva, J., Moya-Albor, E., Gomez-Coronel, S.L., Escalante-Ramírez, B., Ponce, H., Mora Esquivel, J.I., Motion magnification using the Hermite transform, Proceedings of SPIE, 9681, 2015. DOI: http://www.doi.org/10.1117/12.2209199
Olveres, J., Nava, R., Moya-Albor, E., Escalante-Ramírez, B., Brieva, J., Cristóbal, G., Vallejo, E., Texture descriptor approaches to level set segmentation in medical images (2014) Proceedings of SPIE - The International Society for Optical Engineering, 9138, art. no. 91380J, DOI: http://www.doi.org/10.1117/12.2054527
Brieva, J., A string matching shape prior to constraint the level set evolution for the segmentation of x-ray coronary angiography (2013) Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 89220Z, 2013-November.
Brieva, J., Coronary artery segmentation in X-Ray Angiographic image by means of a shape based level set method (2013) Pan American Health Care Exchanges (PAHCE), vol 1., no 1. April 29 2013-May 4 2013.
De Lourdes Martínez-Villaseñor, M., González-Mendoza, M., Consumption of profile information from heterogeneous sources to leverage human-computer interaction (2013) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8278 LNCS, pp. 1-4. DOI: http://www.doi.org/10.1007/978-3-319-03068-5_1
Moya-Albor, E., Brieva, J., Ponce Espinosa, H.E., Mobile robot with movement detection controlled by a real-time optical flow hermite transform (2016) Studies in Systems, Decision and Control, 40, pp. 231-263, DOI: http://www.doi.org/10.1007/978-3-319-26230-7_9
Ponce Espinosa, H.E., Ayala-Solares, J.R., The power of natural inspiration in control systems, Studies in Systems, Decision and Control 40: 1–10, 2016. DOI: http://www.doi.org/10.1007/978-3-319-26230-7_1
Moya-Albor, E., Brieva, J., Ponce Espinosa, H.E., Mobile robot with movement detection controlled by a real-time optical flow Hermite transform, Studies in Systems, Decision and Control 40: 231–263, 2016. DOI: http://www.doi.org/10.1007/978-3-319-26230-7_9
Ponce, H., Moya-Albor, E., Brieva, J. A Novel Artificial Organic Controller with Hermite Optical Flow Feedback for Mobile Robot Navigation (2016) New Applications of Artificial Intelligence, DOI: http://www.doi.org/10.5772/62466