Hugo Jair Escalante

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A Comparison of Outlier Detection Algorithms for Machine Learning

Hugo Jair Escalante, H. Escalante, 2005 .

Overview of the ImageCLEF 2007 Object Retrieval Task

Jorma Laaksonen, Nicu Sebe, Hermann Ney, 2008, CLEF.

Semi-supervised Online Kernel Semantic Embedding for Multi-label Annotation

Hugo Jair Escalante, Fabio A. González, Jorge A. Vanegas, 2017, CIARP.

Principal motion components for one-shot gesture recognition

Isabelle Guyon, Jun Wan, Hugo Jair Escalante, 2017, Pattern Analysis and Applications.

Automated Detection of Hummingbirds in Images: A Deep Learning Approach

Hugo Jair Escalante, Eduardo F. Morales, Sergio A. Serrano, 2018, MCPR.

Towards AutoML in the presence of Drift: first results pdf

Michèle Sebag, Hugo Jair Escalante, Isabelle Guyon, 2018, IJCAI 2018.

Joint Conference on Neural Networks , Orlando , Florida , USA , August 12-17 , 2007 PSMS for Neural Networks on the IJCNN 2007 Agnostic vs Prior Knowledge Challenge

Hugo Jair Escalante, Luis Enrique Sucar, Manuel Montes-y-Gómez, 2007 .

ChaLearn gesture challenge: Design and first results

Isabelle Guyon, Hugo Jair Escalante, Vassilis Athitsos, 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Evolutionary Multi-Objective Approach for Prototype Generation and Feature Selection

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2014, CIARP.

Early detection of deception and aggressiveness using profile-based representations

Hugo Jair Escalante, Luis Villaseñor Pineda, Esaú Villatoro-Tello, 2017, Expert Syst. Appl..

Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos pdf

Stéphane Ayache, Sergio Escalera, Xavier Baró, 2018, ArXiv.

Scalable multi-label annotation via semi-supervised kernel semantic embedding

Hugo Jair Escalante, Fabio A. González, Jorge A. Vanegas, 2019, Pattern Recognit. Lett..

An Energy-based Model for Feature Selection

Hugo Jair Escalante, Manuel Montes, Enrique Sucar, 2008 .

A Two-step Approach for Effective Detection of Misbehaving Users in Chats

Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Villaseñor Pineda, 2012, CLEF.

Learning to Assemble Classifiers via Genetic Programming

Hugo Jair Escalante, Andrés Gago Alonso, Niusvel Acosta-Mendoza, 2014, Int. J. Pattern Recognit. Artif. Intell..

Visualizing Apparent Personality Analysis with Deep Residual Networks

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Analysis of Galactic Spectra using Noise-Aware Learning Algorithms

Olac Fuentes, Hugo Jair Escalante, H. Escalante, 2006, FLAIRS.

Bias and Variance Optimization for SVMs Model Selection

Hugo Jair Escalante, Carlos A. Reyes García, Alejandro Rosales-Pérez, 2013, FLAIRS Conference.

The ChaLearn gesture dataset (CGD 2011)

Isabelle Guyon, Hugo Jair Escalante, Vassilis Athitsos, 2014, Machine Vision and Applications.

Towards a Region-level Image Annotation Benchmark

Hugo Jair Escalante, Manuel Montes, Michael Grubinger, 2007 .

Causal Structure Learning: a Bayesian approach based on random graphs pdf

Hugo Jair Escalante, Luis Enrique Sucar, Mauricio Gonzalez-Soto, 2020, ArXiv.

Object Recognition with Näive Bayes-NN via Prototype Generation

Hugo Jair Escalante, Adrián Pastor López-Monroy, Manuel Montes-y-Gómez, 2014, MCPR.

A Guiding Principle for Causal Decision Problems pdf

Hugo Jair Escalante, Luis Enrique Sucar, Mauricio Gonzalez-Soto, 2019, ArXiv.

Búsqueda aleatoria adaptiva para problemas de optimización global sin restricciones

Hugo Jair Escalante, Arturo Berrones, Jonás Velasco, 2014, Computación y Sistemas.

Cooperative Co-Evolutionary Genetic Programming for High Dimensional Problems

Hugo Jair Escalante, Carlos A. Coello Coello, Alicia Morales-Reyes, 2020, PPSN.

High-Level Features for Multimodal Deception Detection in Videos

Hugo Jair Escalante, Verónica Reyes-Meza, Luis Villaseñor Pineda, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Enhanced Fuzzy-Relational Neural Network with Alternative Relational Products

Hugo Jair Escalante, Carlos A. Reyes García, Alejandro Rosales-Pérez, 2014, CIARP.

Gesture and Action Recognition by Evolved Dynamic Subgestures

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2015, BMVC.

Taking Human out of Learning Applications: A Survey on Automated Machine Learning pdf

Isabelle Guyon, Yang Yu, Qiang Yang, 2018, 1810.13306.

Deep Learning for Action and Gesture Recognition in Image Sequences: A Survey

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2017, Gesture Recognition.

Multi-Modal Face Presentation Attack Detection

Sergio Escalera, Hugo Jair Escalante, Guodong Guo, 2020, Synthesis Lectures on Computer Vision.

Multimodal Markov Random Field for Image Re-ranking based on Relevance Feedback

Hugo Jair Escalante, Luis Enrique Sucar, Manuel Montes-y-Gómez, 2013 .

TIA-INAOE Participation at ImageCLEF 2008

Hugo Jair Escalante, Luis Enrique Sucar, Eduardo F. Morales, 2007, CLEF.

Learning When to Classify for Early Text Classification

Hugo Jair Escalante, Marcelo Luis Errecalde, Manuel Montes-y-Gómez, 2017, CACIC.

Towards Deep Representation Learning with Genetic Programming pdf

Hugo Jair Escalante, Alicia Morales-Reyes, Lino Rodriguez-Coayahuitl, 2018, ArXiv.

Using Intra-Profile Information for Author Profiling Notebook for PAN at CLEF 2014

Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Enrique, 2014 .

A hybrid surrogate-based approach for evolutionary multi-objective optimization

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2013, 2013 IEEE Congress on Evolutionary Computation.

Design of the 2015 ChaLearn AutoML challenge

Sergio Escalera, Isabelle Guyon, Gavin C. Cawley, 2015, IJCNN.

A Two-Step Retrieval Method for Image Captioning

Hugo Jair Escalante, Fabio A. González, Jorge A. Vanegas, 2016, CLEF.

Semantic Cohesion for Image Annotation and Retrieval, Summary of PhD Thesis

Hugo Jair Escalante, Manuel Montes, E. Sucar, 2012 .

A parallel approach for the training stage of the Viola-Jones face detection algorithm

Hugo Jair Escalante, Alicia Morales-Reyes, Jorge de la Calleja, 2017, Intell. Data Anal..

ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

A Flexible Framework for the Evaluation of Unsupervised Image Annotation

Hugo Jair Escalante, Fabio A. González, Mauricio Villegas, 2017, CIARP.

Results and Analysis of the ChaLearn Gesture Challenge 2012

Isabelle Guyon, Hugo Jair Escalante, Vassilis Athitsos, 2012, WDIA.

Using Intra-Profile Information for Author Profiling

Hugo Jair Escalante, Luis Villaseñor Pineda, Adrián Pastor López-Monroy, 2014, CLEF.

A naïve Bayes baseline for early gesture recognition

Hugo Jair Escalante, Luis Enrique Sucar, Eduardo F. Morales, 2016, Pattern Recognit. Lett..

Surrogate modeling based on granular models and fuzzy aptitude functions

Hugo Jair Escalante, Juan Manuel Ramírez-Cortés, Carlos A. Reyes García, 2018, Appl. Soft Comput..

Detection of defective embedded bearings by sound analysis: a machine learning approach

Hugo Jair Escalante, Arturo Berrones, Mario A. Saucedo-Espinosa, 2017, J. Intell. Manuf..

Automated Machine Learning - a brief review at the end of the early years pdf

Hugo Jair Escalante, H. Escalante, 2020, Automated Design of Machine Learning and Search Algorithms.

Semantic Cohesion for Image Annotation and Retrieval

Hugo Jair Escalante, Luis Enrique Sucar, Manuel Montes-y-Gómez, 2012 .

Late fusion of heterogeneous methods for multimedia image retrieval

Hugo Jair Escalante, Luis Enrique Sucar, Manuel Montes-y-Gómez, 2008, MIR '08.

Detección del engaño en notas de opinión a través de técnicas tradicionales de clasificación automática de textos

Hugo Jair Escalante, Luis Villaseñor Pineda, Manuel Montes-y-Gómez, 2017, Res. Comput. Sci..

Acute leukemia classification by ensemble particle swarm model selection

Hugo Jair Escalante, Leopoldo Altamirano Robles, Manuel Montes-y-Gómez, 2012, Artif. Intell. Medicine.

Towards Autonomous Flight of Low-Cost MAVs by Using a Probabilistic Visual Odometry Approach

Hugo Jair Escalante, Walterio W. Mayol-Cuevas, José Martínez-Carranza, 2015, MICAI.

Classifying infant cry patterns by the Genetic Selection of a Fuzzy Model

Hugo Jair Escalante, Carlos A. Reyes García, Alejandro Rosales-Pérez, 2015, Biomed. Signal Process. Control..

Overview of MEX-A3T at IberLEF 2019: Authorship and Aggressiveness Analysis in Mexican Spanish Tweets

Hugo Jair Escalante, Verónica Reyes-Meza, Luis Villaseñor Pineda, 2018, IberLEF@SEPLN.

AutoCV Challenge Design and Baseline Results

Sergio Escalera, Hugo Jair Escalante, Meysam Madadi, 2019 .

Evaluating Term-Expansion for Unsupervised Image Annotation

Hugo Jair Escalante, Luis Pellegrin, Manuel Montes-y-Gómez, 2014, MICAI.

Convolutional Genetic Programming

Hugo Jair Escalante, Alicia Morales-Reyes, Lino Rodriguez-Coayahuitl, 2019, MCPR.

ChaLearn Looking at People: Inpainting and denoising challenges

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2019 .

Time series forecasting with genetic programming

Hugo Jair Escalante, Eric Sadit Tellez, Mario Graff, 2017, Natural Computing.

Improved Learning Rule for LVQ Based on Granular Computing

Hugo Jair Escalante, Israel Cruz-Vega, H. Escalante, 2015, MCPR.

Recognition of Apparent Personality Traits from Text and Handwritten Images

Hugo Jair Escalante, Eduardo F. Morales, Luis Villaseñor Pineda, 2018, CVAUI/IWCF/MIPPSNA@ICPR.

Multi-modal gesture recognition challenge 2013: dataset and results

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2013, ICMI '13.

AutoML @ NeurIPS 2018 challenge: Design and Results pdf

Isabelle Guyon, Qiang Yang, Hugo Jair Escalante, 2019, ArXiv.

Full Model Selection in Big Data

Hugo Jair Escalante, Carlos Alberto Reyes García, Angel Díaz-Pacheco, 2017, MICAI.

Automatic Classification of Web Databases Using Domain-Dictionaries

Hugo Jair Escalante, Heidy Marisol Marín Castro, Víctor Jesús Sosa Sosa, 2013, MLDM.

ChaLearn looking at people: A review of events and resources

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

From neighbors to strengths - the k-strongest strengths (kSS) classification algorithm

Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Carlos González-Gurrola, 2020, Pattern Recognit. Lett..

Cleaning Training-Datasets with Noise-Aware Algorithms

Hugo Jair Escalante, H. Escalante, 2006, 2006 Seventh Mexican International Conference on Computer Science.

Genetic Programming

Sergio Escalera, Hugo Jair Escalante, Jose Martfnez-Carraza, 2000, Lecture Notes in Computer Science.

Semantic Genetic Programming for Sentiment Analysis

Hugo Jair Escalante, Eric Sadit Tellez, Sabino Miranda-Jiménez, 2015, NEO.

Meta-learning of Text Classification Tasks

Hugo Jair Escalante, Jorge G. Madrid, 2019, CIARP.

Guest Editorial: Image and Video Inpainting and Denoising

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2020, IEEE Trans. Pattern Anal. Mach. Intell..

Extensión de una red neuronal relacional difusa incorporando distintos productos relacionales a la etapa de entrenamiento

Hugo Jair Escalante, Carlos A. Reyes García, Efraín Mendoza-Castañeda, 2014, Res. Comput. Sci..

Annotation-Based Expansion and Late Fusion of Mixed Methods for Multimedia Image Retrieval

Hugo Jair Escalante, Luis Enrique Sucar, Eduardo F. Morales, 2008, CLEF.

Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contest

Sergio Escalera, Hugo Jair Escalante, Henning Müller, 2018, CVAUI/IWCF/MIPPSNA@ICPR.

On Multimedia Image Retrieval Baselines

Hugo Jair Escalante, Manuel Montes, E. Sucar, 2009 .

Models of performance of time series forecasters

Hugo Jair Escalante, Mario Graff, Jaime Cerda Jacobo, 2013, Neurocomputing.

Ensemble particle swarm model selection

Hugo Jair Escalante, Luis Enrique Sucar, Manuel Montes-y-Gómez, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

A note on "Adaptive fuzzy fitness granulation for evolutionary optimization"

Hugo Jair Escalante, Israel Cruz-Vega, 2015, Int. J. Approx. Reason..

From Text to Speech: A Multimodal Cross-Domain Approach for Deception Detection

Hugo Jair Escalante, Verónica Reyes-Meza, Luis Villaseñor Pineda, 2018, CVAUI/IWCF/MIPPSNA@ICPR.

Particle Swarm Optimization for Classifier Selection

Hugo Jair Escalante, Manuel Montes, E. Sucar, 2008 .

Predicting Academic-Challenge Success

Hugo Jair Escalante, Eduardo F. Morales, Luis Villaseñor Pineda, 2018, CIARP.

First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis pdf

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2018, ArXiv.

Particle Swarm Model Selection for Authorship Verification

Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Villaseñor Pineda, 2009, CIARP.

Design of an explainable machine learning challenge for video interviews

Stéphane Ayache, Sergio Escalera, Xavier Baró, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Resumen de Tesis Doctoral Semantic Cohesion for Image Annotation and Retrieval

Hugo Jair Escalante, Luis Enrique Sucar, Manuel Montes-y-Gómez, 2012, Computación y Sistemas.

Towards a Generic Ontology for Video Surveillance

Hugo Jair Escalante, Pablo Hernandez-Leal, L. Enrique Sucar, 2017 .

ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

ChaLearn Looking at People Challenge 2014: Dataset and Results

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2014, ECCV Workshops.

Improving Automatic Image Annotation Based on Word Co-occurrence

Hugo Jair Escalante, Luis Enrique Sucar, Manuel Montes-y-Gómez, 2007, Adaptive Multimedia Retrieval.

Image Classification through Text Mining techniques: a Proposal

Hugo Jair Escalante, Fabio A. González, Manuel Montes-y-Gómez, 2014, Res. Comput. Sci..

Comparison between Genetic Programming and full model selection on classification problems

Hugo Jair Escalante, Mario Graff, Jose R. Cedeno, 2014, 2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).

A Column Generation Approach for Solving a Green Bi-objective Inventory Routing Problem

Hugo Jair Escalante, Manuel Montes y Gomez, Alberto Segura, 2016 .

Summary of PhD Thesis: Semantic Cohesion for Image Annotation and Retrieval

Hugo Jair Escalante, Manuel Montes, E. Sucar, 2010 .

Local Histograms of Character N-grams for Authorship Attribution

Hugo Jair Escalante, Manuel Montes-y-Gómez, Thamar Solorio, 2011, ACL.

Particle Swarm Model Selection

Hugo Jair Escalante, Luis Enrique Sucar, Manuel Montes-y-Gómez, 2009, J. Mach. Learn. Res..

Guest editorial: special issue on human abnormal behavioural analysis

Sergio Escalera, Xavier Baró, Jun Wan, 2019, Machine Vision and Applications.

Multimedia Information Retrieval based on Semantic Cohesion

Hugo Jair Escalante, Manuel Montes, E. Sucar, 2007 .

Bias and Variance Multi-objective Optimization for Support Vector Machines Model Selection

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2013, IbPRIA.

A visual approach for age and gender identification on Twitter pdf

Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Villaseñor Pineda, 2018, J. Intell. Fuzzy Syst..

Surrogate modeling based on an adaptive network and granular computing

Hugo Jair Escalante, Carlos A. Reyes García, Alejandro Rosales-Pérez, 2016, Soft Comput..

Playing against Nature: causal discovery for decision making under uncertainty pdf

Hugo Jair Escalante, Luis Enrique Sucar, Mauricio Gonzalez-Soto, 2018, ArXiv.

A One-Shot DTW-Based Method for Early Gesture Recognition

Hugo Jair Escalante, Eduardo F. Morales, Yared Sabinas, 2013, CIARP.

of the 2015 ChaLeam AutoML Challenge

Isabelle Guyon, Gavin C. Cawley, Hugo Jair Escalante, 2015 .

Evolving weighting schemes for the Bag of Visual Words

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2017, Neural Computing and Applications.

ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2016, ECCV Workshops.

EPSMS and the Document Occurrence Representation for Authorship Identification - Notebook for PAN at CLEF 2011

Hugo Jair Escalante, 2011, CLEF.

Simultaneous segmentation and recognition of hand gestures for human-robot interaction

Hugo Jair Escalante, Luis Enrique Sucar, Harold Vasquez Chavarria, 2013, 2013 16th International Conference on Advanced Robotics (ICAR).

Word Co-occurrence and Markov Random Fields for Improving Automatic Image Annotation

Hugo Jair Escalante, Luis Enrique Sucar, Manuel Montes-y-Gómez, 2007, BMVC.

Explainable and Interpretable Models in Computer Vision and Machine Learning

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2018, The Springer Series on Challenges in Machine Learning.

Genetic Programming of Prototypes for Pattern Classification

Hugo Jair Escalante, Mario Graff, Alicia Morales-Reyes, 2013, IbPRIA.

INAOE's Participation at PAN'13: Author Profiling Task Notebook for PAN at CLEF 2013

Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Villaseñor Pineda, 2013, CLEF.

NeurIPS 2019 Competition and Demonstration Track Revised selected papers

Hugo Jair Escalante, Raia Hadsell, R. Hadsell, 2019, NeurIPS.

INAOE's Participation at PAN'15: Author Profiling task

Hugo Jair Escalante, Luis Villaseñor Pineda, Adrián Pastor López-Monroy, 2015, CLEF.

Early Text Classification Using Multi-Resolution Concept Representations

Hugo Jair Escalante, Fabio A. González, Thamar Solorio, 2018, NAACL-HLT.

INAOE-UNAL at ImageCLEF 2015: Scalable Concept Image Annotation

Hugo Jair Escalante, Fabio A. González, Jorge A. Vanegas, 2015, CLEF.

Bag-of-visual-ngrams for histopathology image classification

Hugo Jair Escalante, Angel Cruz-Roa, Manuel Montes-y-Gómez, 2013, Other Conferences.

Advances in Artificial Intelligence - IBERAMIA 2016

Hugo Jair Escalante, Manuel Montes-y-Gómez, Alberto Segura, 2016, Lecture Notes in Computer Science.

Meta-learning of textual representations

Hugo Jair Escalante, Eduardo Morales, Jorge Madrid, 2019, PKDD/ECML Workshops.

Local and global approaches for unsupervised image annotation

Hugo Jair Escalante, Fabio A. González, Luis Pellegrin, 2017, Multimedia Tools and Applications.

Looking at People Special Issue

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2017, International Journal of Computer Vision.

Multi-class particle swarm model selection for automatic image annotation

Hugo Jair Escalante, Luis Enrique Sucar, Manuel Montes-y-Gómez, 2012, Expert Syst. Appl..

Cross-Cultural Image-Based Author Profiling in Twitter

Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Villaseñor Pineda, 2019, MICAI.

Class-specific feature generation for 1NN through genetic programming

Hugo Jair Escalante, Mauricio Garcia Limon, Eduardo Morales, 2015, 2015 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).

An iterative genetic programming approach to prototype generation

Hugo Jair Escalante, Mario Graff, Jaime Cerda Jacobo, 2017, Genetic Programming and Evolvable Machines.

Forensic Analysis Recognition

Xavier Baró, Hugo Jair Escalante, Manuel Montes-y-Gómez, 2020 .

Multi-objective Full Model Selection in temporal databases: Optimizing time and performance

Hugo Jair Escalante, Efrén Mezura-Montes, Nancy Pérez-Castro, 2016, 2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).

Overview of MEX-A3T at IberLEF 2020: Fake News and Aggressiveness Analysis in Mexican Spanish

Helena Gómez-Adorno, Hugo Jair Escalante, Gemma Bel-Enguix, 2020, IberLEF@SEPLN.

Sexual predator detection in chats with chained classifiers

Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Villaseñor Pineda, 2013, WASSA@NAACL-HLT.

Fractal dimension analysis for automatic morphological galaxy classification pdf

Hugo Jair Escalante, Jorge de la Calleja, Elsa M. de la Calleja, 2017, ArXiv.

Simultaneous generation of prototypes and features through genetic programming

Hugo Jair Escalante, Eduardo F. Morales, Alicia Morales-Reyes, 2014, GECCO.

Evolving autoencoding structures through genetic programming

Hugo Jair Escalante, Alicia Morales-Reyes, Lino Rodriguez-Coayahuitl, 2019, Genetic Programming and Evolvable Machines.

Improving bag of visual words representations with genetic programming

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

TIA-INAOE's Participation at ImageCLEF 2007

Hugo Jair Escalante, Luis Enrique Sucar, Manuel Montes-y-Gómez, 2007 .

Multimodal indexing based on semantic cohesion for image retrieval

Hugo Jair Escalante, Luis Enrique Sucar, Manuel Montes-y-Gómez, 2011, Information Retrieval.

Learning Roadway Surface Disruption Patterns Using the Bag of Words Representation

Hugo Jair Escalante, Fernando Martínez, Ricardo Moreno, 2017, IEEE Transactions on Intelligent Transportation Systems.

ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

On the SAIAPR TC-12 Benchmark

Hugo Jair Escalante, Manuel Montes, E. Sucar, 2009 .

Multi-objective model type selection

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2014, Neurocomputing.

Recognition of facial expressions based on CNN features

Hugo Jair Escalante, Luis Pellegrin, Ma. Auxilio Medina, 2020, Multimedia Tools and Applications.

In Defense of Online Kmeans for Prototype Generation and Instance Reduction

Hugo Jair Escalante, Alicia Morales-Reyes, Mauricio García-Limón, 2016, IBERAMIA.

Predicting Overfitting on Time Series Forecasters

Hugo Jair Escalante, Mario Graff, A. Avalos-Gonzalez, 2012 .

An energy-based model for region-labeling

Hugo Jair Escalante, Luis Enrique Sucar, Manuel Montes-y-Gómez, 2011, Comput. Vis. Image Underst..

Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review pdf

Sergio Escalera, Hugo Jair Escalante, Meysam Madadi, 2020, IET Biom..

Genetic Programming

Sergio Escalera, Hugo Jair Escalante, Jose Martfnez-Carraza, 2000, IEEE Intell. Syst..

Principal motion components for gesture recognition using a single-example pdf

Isabelle Guyon, Jun Wan, Hugo Jair Escalante, 2013, ArXiv.

Towards the automated generation of term-weighting schemes for text categorization

Hugo Jair Escalante, Eduardo F. Morales, Manuel Montes-y-Gómez, 2014, GECCO.

Discriminative subprofile-specific representations for author profiling in social media

Hugo Jair Escalante, Efstathios Stamatatos, Luis Villaseñor Pineda, 2015, Knowl. Based Syst..

Distributional Term Representations for Short-Text Categorization

Hugo Jair Escalante, Manuel Montes-y-Gómez, Juan Manuel Cabrera, 2013, CICLing.

Fusing Affective Dimensions and Audio-Visual Features from Segmented Video for Depression Recognition: INAOE-BUAP's Participation at AVEC'14 Challenge

Hugo Jair Escalante, Verónica Reyes-Meza, Luis Villaseñor Pineda, 2014, AVEC '14.

CASIA-SURF: A Large-Scale Multi-Modal Benchmark for Face Anti-Spoofing

Shifeng Zhang, Sergio Escalera, Hugo Jair Escalante, 2019, IEEE Transactions on Biometrics, Behavior, and Identity Science.

Causal Games and Causal Nash Equilibrium pdf

Hugo Jair Escalante, Luis Enrique Sucar, Mauricio Gonzalez-Soto, 2019, Res. Comput. Sci..

Surrogate-assisted multi-objective model selection for support vector machines

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2015, Neurocomputing.

Hands on Pattern Recognition

Hugo Jair Escalante, Manuel Montes, E. Sucar, 2011 .

ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Genetic Programming of Heterogeneous Ensembles for Classification

Hugo Jair Escalante, Andrés Gago Alonso, Niusvel Acosta-Mendoza, 2013, CIARP.

EvoDAG: A semantic Genetic Programming Python library

Hugo Jair Escalante, Eric Sadit Tellez, Sabino Miranda-Jiménez, 2016, 2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).

A Machine Learning Pipeline to Automatically Identify and Classify Roadway Surface Disruptions

Hugo Jair Escalante, Luis Carlos González-Gurrola, Mario Ezra Aragón, 2016, ENC.

An Empirical Analysis on Dimensionality in Cellular Genetic Algorithms

René Cumplido, Hugo Jair Escalante, Martin Letras, 2015, GECCO.

Novel representations and methods in text classification

Hugo Jair Escalante, Manuel Montes, H. Escalante, 2013 .

Split and merge watershed: A two-step method for cell segmentation in fluorescence microscopy images

Hugo Jair Escalante, Eduardo Zurek, A. Margarita R. Gamarra, 2019, Biomed. Signal Process. Control..

INAOE's participation at ImageCLEF 2016: Text Illustration Task

Hugo Jair Escalante, Luis Pellegrin, Adrián Pastor López-Monroy, 2016, CLEF.

An estimation of distribution algorithm with adaptive Gibbs sampling for unconstrained global optimization pdf

Hugo Jair Escalante, Arturo Berrones, Mario A. Saucedo-Espinosa, 2011, ArXiv.

Data Augmentation with Transformers for Text Classification

Hugo Jair Escalante, José Medardo Tapia-Téllez, H. Escalante, 2020, MICAI.

Multimodal Document Indexing based on Semantic Cohesion for Image Retrieval

Hugo Jair Escalante, Manuel Montes, E. Sucar, 2012 .

ChaLearn Looking at People: Events and Resources pdf

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2017, ArXiv.

Noise Elimination with a Re-Sampling Algorithm

Olac Fuentes, Hugo Jair Escalante, H. Escalante, 2004 .

Guest Editorial: The Computational Face

Takeo Kanade, Sergio Escalera, Xavier Baró, 2018, IEEE Trans. Pattern Anal. Mach. Intell..

Exploiting label semantic relatedness for unsupervised image annotation with large free vocabularies

Hugo Jair Escalante, Luis Pellegrin, Manuel Montes-y-Gómez, 2019, Multimedia Tools and Applications.

Results and Analysis of ChaLearn LAP Multi-modal Isolated and Continuous Gesture Recognition, and Real Versus Fake Expressed Emotions Challenges

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Transductive non-linear semantic embedding for multi-class classification

Hugo Jair Escalante, Jorge A. Vanegas, Viviana Beltrán, 2019, Pattern Recognit. Lett..

TIA-INAOE's Approach for the 2013 Retrieving Diverse Social Images Task

Hugo Jair Escalante, Alicia Morales-Reyes, H. Escalante, 2013, MediaEval.

Computer Science – CACIC 2017

Hugo Jair Escalante, Marcelo Luis Errecalde, Manuel Montes y Gomez, 2017, Communications in Computer and Information Science.

Simultaneous Segmentation and Recognition of Gestures for Human-Machine Interaction

Hugo Jair Escalante, Luis Enrique Sucar, Harold Vasquez Chavarria, 2013, UDM@IJCAI.

PGGP: Prototype Generation via Genetic Programming

Hugo Jair Escalante, Mario Graff, Alicia Morales-Reyes, 2016, Appl. Soft Comput..

Sow-activity classification from acceleration patterns: A machine learning approach

Cécile Cornou, Hugo Jair Escalante, Jorge Cordero, 2013 .

Segmenting and annotating the IAPR-TC12 Benchmark

Hugo Jair Escalante, Eduardo F. Morales, Jesus A. Gonzalez, 2008 .

Instance Selection based on the Silhouette Coefficient Measure for Text Classification

Hugo Jair Escalante, Thamar Solorio, Manuel Montes, 2011, MICAI 2011.

Overview of the 2017 RedICA text-image matching (RICATIM) challenge

Hugo Jair Escalante, Eduardo F. Morales, Carlos A. Reyes-García, 2017, 2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).

Multi-Modal Face Anti-Spoofing Attack Detection Challenge at CVPR2019

Sergio Escalera, Jun Wan, Hugo Jair Escalante, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

EMOPG+FS: Evolutionary multi-objective prototype generation and feature selection

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2016, Intelligent Data Analysis.

An Energy-based Model for Image Annotation and Retrieval

Hugo Jair Escalante, Manuel Montes, E. Sucar, 2011 .

A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention

Sergio Escalera, Isabelle Guyon, Michèle Sebag, 2016, AutoML@ICML.

ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

CSMMI: Class-Specific Maximization of Mutual Information for Action and Gesture Recognition

Isabelle Guyon, Qiuqi Ruan, Jun Wan, 2014, IEEE Transactions on Image Processing.

von Neumann-Morgenstern and Savage Theorems for Causal Decision Making pdf

Hugo Jair Escalante, Luis Enrique Sucar, Mauricio Gonzalez-Soto, 2019, ArXiv.

GRASP with path relinking for commercial districting

Hugo Jair Escalante, Roger Z. Ríos-Mercado, H. Escalante, 2016, Expert Syst. Appl..

MOPG: a multi-objective evolutionary algorithm for prototype generation

Hugo Jair Escalante, Mario Graff, Manuel Montes-y-Gómez, 2017, Pattern Analysis and Applications.

Multimodal First Impression Analysis with Deep Residual Networks

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2018, IEEE Transactions on Affective Computing.

Chained ensemble classifier for image annotation

Hugo Jair Escalante, Edgar Tello-Leal, Heidy Marisol Marín Castro, 2019, Multimedia Tools and Applications.

First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis

Sergio Escalera, Marcel A. J. van Gerven, Hugo Jair Escalante, 2018, IEEE Transactions on Affective Computing.

The segmented and annotated IAPR TC-12 benchmark

Hugo Jair Escalante, Luis Enrique Sucar, Eduardo F. Morales, 2010, Comput. Vis. Image Underst..

A Comparison among Different Levels of Abstraction in Genetic Programming

Hugo Jair Escalante, Alicia Morales-Reyes, Lino Rodriguez-Coayahuitl, 2019, 2019 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).

Particle Swarm Full Model Selection

Hugo Jair Escalante, Luis Enrique Sucar, Manuel Montes, 2008 .

A comparative study of object-level spatial context techniques for semantic image analysis

Michael G. Strintzis, Yiannis Kompatsiaris, Hugo Jair Escalante, 2011, Comput. Vis. Image Underst..

Improving the BoVW via discriminative visual n-grams and MKL strategies

Hugo Jair Escalante, Fabio A. González, Angel Cruz-Roa, 2016, Neurocomputing.

A Weighted Profile Intersection Measure for Profile-Based Authorship Attribution

Hugo Jair Escalante, Manuel Montes-y-Gómez, Thamar Solorio, 2011, MICAI.

Term-weighting learning via genetic programming for text classification

Hugo Jair Escalante, Eduardo F. Morales, Mario Graff, 2014, Knowl. Based Syst..

Adaptive-surrogate based on a neuro-fuzzy network and granular computing

Hugo Jair Escalante, Israel Cruz-Vega, Mauricio García-Limón, 2014, GECCO.

Pattern Recognition and Information Forensics

David Suter, Hugo Jair Escalante, Alexandra Branzan Albu, 2018, Lecture Notes in Computer Science.

Structurally Layered Representation Learning: Towards Deep Learning Through Genetic Programming

Hugo Jair Escalante, Alicia Morales-Reyes, Lino Rodriguez-Coayahuitl, 2018, EuroGP.

An online and incremental GRLVQ algorithm for prototype generation based on granular computing

Hugo Jair Escalante, Israel Cruz-Vega, H. Escalante, 2017, Soft Comput..

Towards simultaneous prototype and Feature Generation

Hugo Jair Escalante, Mauricio Garcia Limon, Eduardo F. Morales, 2014, 2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).

An evolutionary multi-objective approach for prototype generation

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Instance Selection in Text Classification Using the Silhouette Coefficient Measure

Hugo Jair Escalante, Manuel Montes-y-Gómez, Thamar Solorio, 2011, MICAI.

Social-Media Users can be profiled by their Similarity with other Users

Hugo Jair Escalante, Luis Villaseñor Pineda, Thamar Solorio, 2017, CLEF.

CLOP: a Matlab Learning Object Package

Isabelle Guyon, Gavin C. Cawley, Hugo Jair Escalante, 2007 .

A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

Gesture Recognition

Sergio Escalera, Hugo Jair Escalante, Vassilis Athitsos, 2017, The Springer Series on Challenges in Machine Learning.

Evaluation of Detection Approaches for Road Anomalies Based on Accelerometer Readings—Addressing Who’s Who

Hugo Jair Escalante, Fernando Martínez, Mario Ezra Aragón, 2018, IEEE Transactions on Intelligent Transportation Systems.

Guest Editorial: Apparent Personality Analysis

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2018, IEEE Trans. Affect. Comput..

Early text classification: a Naïve solution

Hugo Jair Escalante, Marcelo Luis Errecalde, Manuel Montes-y-Gómez, 2016, WASSA@NAACL-HLT.

Deep learning based super-resolution for improved action recognition

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2015, 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA).

Novel Distributional Visual-Feature Representations for image classification

Hugo Jair Escalante, Fabio A. González, Adrián Pastor López-Monroy, 2018, Multimedia Tools and Applications.

Analysis of the AutoML Challenge Series 2015-2018

Sergio Escalera, Hugo Jair Escalante, Marc Boullé, 2019, Automated Machine Learning.

ChaLearn multi-modal gesture recognition 2013: grand challenge and workshop summary

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2013, ICMI '13.

Towards Annotation-Based Query and Document Expansion for Image Retrieval

Hugo Jair Escalante, Heidy Marisol Marín Castro, Luis Enrique Sucar, 2008, CLEF.

Learning a causal structure: a Bayesian random graph approach

Hugo Jair Escalante, L. Enrique Sucar, Mauricio Gonzalez-Soto, 2020, Neural Computing and Applications.

Self-Contextualized Attention for Abusive Language Identification

Hugo Jair Escalante, Manuel Montes-y-Gómez, Horacio Jesús Jarquín-Vásquez, 2021, SOCIALNLP.

Overview of MeOffendEs at IberLEF 2021: Offensive Language Detection in Spanish Variants

Hugo Jair Escalante, Arturo Montejo Ráez, María Teresa Martín Valdivia, 2021, Proces. del Leng. Natural.

Source Task Selection in Time Series via Performance Prediction

Hugo Jair Escalante, Eduardo F. Morales, Jesús García-Ramírez, 2021, MICAI.

Special Issue on Face Presentation Attack Detection

Sergio Escalera, Jun Wan, Hugo Jair Escalante, 2021, IEEE Trans. Biom. Behav. Identity Sci..

Predicting students' performance in online courses using multiple data sources pdf

Hugo Jair Escalante, M'elina Verger, 2021, ArXiv.

Source tasks selection for transfer deep reinforcement learning: a case of study on Atari games

Hugo Jair Escalante, Eduardo F. Morales, Jesús García-Ramírez, 2021, Neural Computing and Applications.

Guest Editorial: Automated Machine Learning

Hugo Jair Escalante, Nelishia Pillay, Quanming Yao, 2021, IEEE Trans. Pattern Anal. Mach. Intell..

3D High-Fidelity Mask Face Presentation Attack Detection Challenge

Sergio Escalera, Jun Wan, Hugo Jair Escalante, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Desert bighorn sheep (Ovis canadensis) recognition from camera traps based on learned features

Hugo Jair Escalante, Adrián Pastor López-Monroy, José Ángel González-Fraga, 2021, Ecol. Informatics.

Perceptual and Pixel-Wise Information for Visual Novelty Detection

Hugo Jair Escalante, Luis Enrique Sucar, Miguel A. Palacios-Alonso, 2021, MCPR.

Multi-branch deep radial basis function networks for facial emotion recognition pdf

Hugo Jair Escalante, Fernanda Hern'andez-Luquin, H. Escalante, 2021, Neural Computing and Applications.

Multi-source Transfer Learning for Deep Reinforcement Learning

Hugo Jair Escalante, Eduardo F. Morales, Jesús García-Ramírez, 2021, MCPR.

A Comparative Study of Spatial Context Techniques for Semantic Image Analysis

Yiannis Kompatsiaris, Hugo Jair Escalante, M. G. Strintzis, 2011 .

Analysis of facial expressions in parkinson's disease through video-based automatic methods

Claudia Manfredi, Hugo Jair Escalante, Silvia Orlandi, 2017, Journal of Neuroscience Methods.

A Two-step Approach for Effective Detection of Misbehaving Users in Chats ⋆ Notebook for PAN at CLEF 2012

Hugo Jair Escalante, Manuel Montes-y-Gómez, Esaú Villatoro-Tello, 2012 .

Memetic Genetic Programming based on orthogonal projections in the phenotype space

Hugo Jair Escalante, Mario Graff, Eric S. Tellez, 2015, 2015 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).

Towards a Region-Level Automatic Image Annotation Benchmark ∗

Hugo Jair Escalante, L. Enrique Sucar, Manuel Montes, 2007 .