Laboratorio de Ciencia de Datos

2023
  • Deep Reinforcement Learning for Autonomous Driving Systems
  • Dr. Tiago Rocha Gonçalves
  • Valeo
  • Paris, France
  • Aprendizaje Profundo en Sistemas de Recomendación
  • Dr. Miguel Angel Sánchez Acevedo
  • Universidad de La Cañada
  • Teotitlán de Flores Magon, Oaxaca, Mexico
  • Valores Éticos en Sistemas Multi-Agentes
  • Dra. Maite López Sánchez
  • Universidad de Barcelona
  • Barcelona, España
  • Extracción de Información Multimodal
  • Dra. Alba Garcia Seco de Herrera
  • Universidad de Essex
  • Essex, United Kingdom
  • Using Deep Learning for Healthcare Applications: A Case Study in Quantifying Stroke Rehabilitation
  • cDr. Aakash Rajesh Kaku
  • University of New York
  • New York, United States of America
2022
  • Explainable Time Series Classification
  • Dr. Elisa Fromont
  • University of Rennes 1
  • Rennes, France
  • Neurosymbolic Program Synthesis
  • Dr. Armando Solar Lezama
  • Massachusetts Institute of Technology
  • Cambridge, Massachusetts, United States of America
  • Accelerated Riemannian Optimization
  • Dr. David Martinez Rubio
  • Konrad Zuse Institute
  • Berlin, Alemania
  • Towards sustainable agricultural production of Capsi-cum annuum assisted by Artificial Intelligence
  • Dr. Nancy Perez Castro
  • University of Papaloapan
  • Loma Bonita, Oaxaca, Mexico
  • Data Collection for Machine Learning
  • Dr. Miguel Angel Sanchez Acevedo
  • University of La Cañada
  • Teotitlan de Flores Magon, Oaxaca, Mexico
  • Use of Genetic Programming for modeling the temporal arcade vein in eye images
  • Dr. Ivan Cruz Aceves
  • Mathematics Research Center
  • Guanajuato, Mexico
  • Recent advances in semantic segmentation of drone photographs
  • Dr. Juan Irving Vasquez Gomez
  • National Polytechnic Institute
  • Ciudad de México, Mexico
2021
  • Agent Based Modeling
  • Dr. Miguel Angel Sanchez Acevedo
  • University of La Cañada
  • Teotitlan de Flores Magon, Oaxaca, Mexico
  • Satellite data analysis and territory classification using machine learning in QGIS
  • Dr. Fabian Leonardo Yory Sanabria
  • University Libre
  • Socorro, Santander, Colombia
  • Work and Artificial Intelligence: social progress or challenge?
  • Dr. Paola Tubaro
  • National Scientific Research Center
  • Paris, France
  • The impact of Machine Learning and AI on Manufacturing
  • Dr. Ares Argelia Gómez Gallegos
  • Glasgow Caledonian University
  • Glasgow, Scotland, United Kingdom
  • Neurosymbolic reasoning for program synthesis and more
  • Dr. Armando Solar Lezama
  • Massachusetts Institute of Technology
  • Cambridge, Massachusetts, United States of America
  • Reconstruction of Three-Dimensional Objects
  • Dr. Juan Irving Vasquez Gomez
  • National Polytechnic Institute
  • Ciudad de México, Mexico
  • Detection of suicide risk using intelligent computing tools
  • Dr. Abril Valeria Uriarte Arcia
  • National Polytechnic Institute
  • Ciudad de México, Mexico
2020
  • Artificial Intelligence: Past, Present and Future
  • Dr. Miguel Angel Sanchez Acevedo
  • University of La Cañada
  • Teotitlan de Flores Magon, Oaxaca, Mexico
  • Artificial Intelligence in drug development
  • Dr. Juan Saulo Gonzalez Gonzalez
  • University of La Cañada
  • Teotitlan de Flores Magon, Oaxaca, Mexico
  • Artificial Intelligence in the prediction of neurodegenerative diseases
  • Dr. Citlalli Regalado Santiago
  • University of La Cañada
  • Teotitlan de Flores Magon, Oaxaca, Mexico
  • Food design and management assisted by Artificial Intelligence
  • Dr. Jose Antonio Linares Garcia
  • University of La Cañada
  • Teotitlan de Flores Magon, Oaxaca, Mexico
  • Artificial Intelligence in the implementation of computer systems to communicate through Mexican Sign Language
  • Dr. Carmen Carlota Martinez Gil
  • University of La Cañada
  • Teotitlan de Flores Magon, Oaxaca, Mexico