Leon palafox

Leon palafox

I'm Machine Learning Director at Banorte Financial Group. I got my PhD at the University of Tokyo and are a Lecturer on AI at Universidad Panamericana.

Publications

Journals

  • Leon Palafox and Hideki Hashimoto. “4W1H and particle swarm optimization for human activity recognition”. Journal of Advanced Computational Intelligence and Intelligent Informatics, 15(7):793-799, 2011.

  • Leon Palafox, H. Iba, and N. Noman. “Reverse Engineering of Gene Regulatory Networks using Dissipative Particle Swarm Optimization”. In: IEEE Transactions on Evolutionary Computation, 17(4):1-1, 2012.

  • Wee-Hong Ong, Leon Palafox, and Takafumi Koseki. “Investigation of Feature Extraction for Unsupervised Learning in Human Activity Detection”. In: Bulletin of Networking, Computing, , Systems, and Software, 2(1):30-35, 2013.

  • Wee-Hong Ong, Takafumi Koseki, and Leon Palafox. “An Unsupervised Approach for Human Activity Detection and Recognition”. In: International Journal of Simulation-Systems, Science & Technology, 14(5), 2013.

  • Nasimul Noman, Leon Palafox, and Hitoshi Iba. “Evolving genetic networks for synthetic biology”. In: New Generation Computing, 31(2):71-88, 2013.

  • Wee-hong Ong, Leon Palafox, and Takafumi Koseki. “An Incremental Approach of Clustering for Human Activity Discovery”. In: IEEJ Transactions on Electronics, Informations and Systems, 134(11):1-6, 2014.

  • Wee-hong Ong, Leon Palafox, and Takafumi Koseki. “Autonomous Learning and Recognition of Human Action based on An Incremental Approach of Clustering”. In: IEEJ Transactions on Electronics, Informations and Systems, 135(9):1136:1141, 2015.

  • He, Bryan D., Mosalam Ebrahimi, Leon Palafox, and Lakshminarayan Srinivasan. “Signal quality of endovascular electroencephalography.” Journal of neural engineering 13, no. 1 (2016).

  • Leon Palafox, Christopher W. Hamilton, Stephen P. Scheidt, Alexander M. Alvarez, “Automated Detection of Geological Landforms on Mars using Convolutional Neural Networks”. Computers & geosciences 101 (2017): 48-56

  • Pearson, Kyle A., Leon Palafox, and Caitlin A. Griffith. “Searching for exoplanets using artificial intelligence.” Monthly Notices of the Royal Astronomical Society 474.1 (2017): 478-491.

  • Savage, Rodrigo, Leon Palafox, Clayton T. Morrison, Jeffrey J. Rodriguez, Kobus Barnard, Shane Byrne, and Christopher W. Hamilton. “A Bayesian Approach to Subkilometer Crater Shape Analysis Using Individual HiRISE Images.” IEEE Transactions on Geoscience and Remote Sensing (2018).

Peer-Reviewed Conferences

  • Leon Palafox and Hashimoto Hideki. A movement profile detection system using self organized maps in the intelligent space. In Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO, pages 114-118. IEEE, 2009.

  • Leon Palafox and Hideki Hashimoto. A compressive sensing approach to the 4W1H architecture. In Proceedings of the IEEE International Conference on Industrial Technology, pages 1599-1603. IEEE, 2010.

  • Leon Palafox and Hideki Hashimoto. Human Action Recognition using 4W1H and Particle Swarm Optimization Clustering. In Sensors (Peterborough, NH), pages 369-373. IEEE, 2010.

  • Leon Palafox and Hideki Hashimoto. Human action recognition using wavelet signal analysis as an input in 4W1H. In Industrial Informatics (INDIN), 2010 8th IEEE International Conference on, pages 679-684. IEEE, 2010.

  • Peshala G Jayasekara, Leon Palafox, T Sasaki, H Hashimoto, and Beom H Lee. Simultaneous localization assistance for multiple mobile robots using particle filter based target tracking. In 2010 Fifth International Conference on Information and Automation for Sustainability, pages 469-474. IEEE, 2010.

  • Leon Palafox, Laszlo a. Jeni, Hideki Hashimoto, and Beom H. Lee. 5W1H as a human activity recognition paradigm in the iSpace. In 2011 8th Asian Control Conference (ASCC), pages 712-718. IEEE, 2011.

  • Leon Palafox, Laszlo a. Jeni, and Hideki Hashimoto. Using conditional random fields to validate observations in a 4W1H paradigm. In 4th International Conference on Human System Interaction, HSI 2011, pages 80-84. IEEE, 2011.

  • Vishal Soam, Leon Palafox, and Hitoshi Iba. Multi-objective portfolio optimization and rebalancing using genetic algorithms with local search. In 2012 IEEE Congress on Evolutionary Computation, CEC 2012, 2012.

  • Leon Palafox and Hitoshi Iba. On the use of Population Based Incremental Learning to do Reverse Engineering on Gene Regulatory Networks. In Evolutionary Computation (CEC), 2012 IEEE Congress on, 2012.

  • Leon Palafox and Hitoshi Iba. Gene Regulatory Network Reverse Engineering using Population Based Incremental Learning and K-means. In Genetic and Evolutionary Computation Conference, 2012.

  • N Noman, Leon Palafox, and Hitoshi Iba. On Model Selection Criteria in Reverse Engineering Gene Networks Using RNN Model. In Convergence and Hybrid Information Technology, pages 155-164. Springer Berlin/Heidelberg, 2012.

  • Leon Palafox, Nasimul Noman, and Hitoshi Iba. Study on the Use of Evolutionary Techniques for Inference in Gene Regulatory Networks. In Natural Computing and Beyond, pages 82-92. Springer Japan, 2013.

  • Leon Palafox. Extending Population Based Incremental Learning using Dirichlet Processes. In Information Sciences, pages 1686-1693. IEEE, 2013.

  • Wee Hong Ong, Takafumi Koseki, and Leon Palafox. Unsupervised human activity detection with skeleton data from RGB-D sensor. In Proceedings - 5th International Conference on Computational Intelligence, Communication Systems, and Networks, CICSyN 2013, pages 30-35. IEEE, 2013.

  • Nasimul Noman, Leon Palafox, and Hitoshi Iba. Reconstruction of Gene Regulatory Networks from Gene Expression Data Using Decoupled Recurrent Neural Network Model. In Natural Computing and Beyond SE - 8, volume 6, pages 93-103. Springer Japan, 2013.

  • Nasimul Noman, Leon Palafox, and Hitoshi Iba. Inferring Genetic Networks with a Recurrent Neural Network Model Using Differential Evolution. In Nikola Kasabov, editor, Springer Handbook of Bio-/Neuroinformatics SE - 22, pages 355-373. Springer Berlin Heidelberg, 2014.

  • Scheidt, S. P., L. F. Palafox, C. W. Hamilton, and J. R. Zimbelman. “Automated Detection of Transverse Aeolian Ridges on Mars Using Convolutional Neural Networks and a Field-Based Terrestrial Orthoimage Training Set.” In Fourth Annual International Planetary Dunes Workshop, vol. 1843, p. 8047. 2015.

  • Palafox, L. F., A. M. Alvarez, and C. W. Hamilton. “Automated Detection of Impact Craters and Volcanic Rootless Cones in Mars Satellite Imagery Using Convolutional Neural Networks and Support Vector Machines.” In Lunar and Planetary Science Conference, vol. 46, p. 2316. 2015.

  • Avalos-Gauna, Edgar and Palafox, L.F. “Heat Transfer Coefficient Prediction of a Porous Material by Implementing a Machine Learning Model on a CFD Data Set.” In Proceedings of the 6th International Conference of Fluid Flow, Heat and Mass Transfer (FFHMT’19), 2019