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Jose Aguilar
Also published under:J. Aguilar, José Aguilar, J. L. Aguilar
Affiliation
CEMISID, Universidad de Los Andes, Mérida, Venezuela
GIDITIC Univ. EAFIT, Medellín, Colombia
IMDEA Networks Institute, Madrid, Spain
GIDITIC Univ. EAFIT, Medellín, Colombia
IMDEA Networks Institute, Madrid, Spain
Topic
Learning Algorithms,Machine Learning,Classification Problem,Descriptive Values,Energy Consumption,Energy Management,Internet Of Things,Random Forest,Support Vector Machine,Business Model,Cluster Centroids,Clustering Problem,Data Analysis Algorithms,Energy Management System,Fuzzy Cognitive Maps,Fuzzy Logic,Game Design,Learning Process,Multi-label,Online Learning,Performance Of Algorithm,Recommender Systems,Rest Of The Variables,Serious Games,Silhouette Index,Smart Grid,Acceptable Threshold,Activation Function,Active Learning,Active Users,Adaptive Capabilities,Adaptive System,Adequate Degree,Affective Dimensions,Age Groups,Aggregation Operators,Analysis Of Symptoms,Analysis Tasks,Ant Colony,Ant Colony Optimization,Ant Colony Optimization Algorithm,Application Of Artificial Neural Networks,Application Of Digital Technologies,Arithmetic Operations,Automatic Generation,Average Daily Temperature,Average Pressure,Average Variance,Bag Method,Basic Cognitive Functions,
Biography
J. Aguilar received the M.Sc. degree in computer science from Universite Paul Sabatier, France, in 1991, and the Ph.D. degree in computer science from Universite Rene Descartes, France, in 1995. He completed his postdoctoral studies in the Department of Computer Science, University of Houston, from 1999 to 2000, and the Laboratoire d’Analyse et d’Architecture des Systèmes (LAAS), CNRS, Toulouse, France, from 2010 to 2011. He was a Systems Engineer with the Universidad de los Andes, Venezuela, in 1987. He is currently a Full Professor with the Department of Computer Science, Universidad de los Andes, Mérida, Venezuela. He has published more than 500 articles and ten books, in the field of parallel and distributed computing, computer intelligence, science and technology management, etc. His research interests include artificial intelligence, semantic mining, big data, emerging computing, and intelligent environments. He is a member of the Mérida Science Academy and the IEEE CIS Technical Committee on Neural Networks.