Inteligencia y Visión Computacional

Publicaciones

Artículos en Revistas

  • 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
  • Martínez-Villaseñor, L., Ponce, H., Brieva, J., Moya-Albor, E., Núñez-Martínez, J., Peñafort-Asturiano, C., UP-fall detection dataset: A multimodal approach, Sensors 19(9), 2019. DOI: http://www.doi.org/10.3390/s19091988
  • 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, P., Ponce, H., Molina, A., Doubly fed induction generator (DFIG) wind turbine controlled by artificial organic networks, Soft Computing 22(9): 2867–2879, 2018. DOI: http://www.doi.org/10.1007/s00500-017-2537-3
  • 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
  • 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
  • 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
  • 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

Artículos en Memorias de Congresos

  • 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., Miralles-Pechúan, L., Martínez-Villaseñor, M.D.L., Artificial hydrocarbon networks for online sales prediction, Lecture Notes in Computer Science, 9414: 498–508, 2015. DOI: http://www.doi.org/10.1007/978-3-319-27101-9_38
  • 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

Libros

Capítulos en Libros

  • 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