Hugo Jair Escalante

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2018

• Looking at People Special Issue. Sergio Escalera, Jordi Gonzàlez, Hugo Jair Escalante, Xavier Baró, Isabelle Guyon. International Journal of Computer Vision, Vol. 126(2--4):141--143, , 2018.( Impact factor: 8.222 -JCR)
• Evaluation of Detection Approaches for Road Anomalies Based on Accelerometer Readings--Addressing Who's Who. Manuel Ricardo Carlos, Mario Ezra Aragón, Luis C. González, Hugo Jair Escalante, Fernando Martínez. IEEE Transactions on Intelligent Transportation Systems , Available online, January 18, 2018.( Impact factor: 3.724 -JCR)
• Surrogate modeling based on granular models and fuzzy aptitude functions. Israel Cruz-Vega, Carlos Reyes Garcia, Hugo Jair Escalante, Jose de Jesus Rangel-Magdaleno, Juan Manuel Ramirez Cortes. Applied Soft Computing, Volume 65, April 2018, Pages 21-32, 2018 .( Impact factor: 3.541 -JCR)

2017

• Multimodal First Impression Analysis with Deep Residual Networks. Yağmur Güçlütürk, Umut Güçlü, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera, Marcel AJ van Gerven, Rob van Lier. IEEE Transactions on Affective Computing, Available online, September 2017 .( Impact factor: 3.149 -JCR)
• Early detection of deception and aggressiveness using profile-based representations.. Hugo Jair Escalante, Esaú Villatoro-Tello, Sara E Garza, A Pastor López-Monroy, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda. Expert Systems with Applications, Volume 89, 15 December 2017, Pages 99-111, 2017 .( Impact factor: 3.928 -JCR)
• Learning roadway surface disruption patterns using the bag of words representation. Luis C González, Ricardo Moreno, Hugo Jair Escalante, Fernando Martínez, Manuel Ricardo Carlos. IEEE Transactions on Intelligent Transportation Systems , Vol. 18(11):2916-- 2928, 2017 .( Impact factor: 3.724 -JCR)
• Local and global approaches for unsupervised image annotation.. Luis Pellegrin, Hugo Jair Escalante, Manuel Montes-y-Gómez, Fabio A González. Journal Multimedia Tools and Applications, Vol. 76(15):16389-16414, 2017 .( Impact factor: 1.530 -JCR)
• An iterative genetic programming approach to prototype generation .. José María Valencia-Ramírez, Mario Graff, Hugo Jair Escalante, Jaime Cerda-Jacobo. Genetic Programming and Evolvable Machines Vol. 18(2):123-147, 2017 .( Impact factor: 1.514 -JCR)
• Analysis of facial expressions in parkinson's disease through video-based automatic methods. Andrea Bandini, Silvia Orlandi, Hugo Jair Escalante, Fabio Giovannelli, Massimo Cincotta, Carlos A Reyes-Garcia, Paola Vanni, Gaetano Zaccara, Claudia Manfredi. Journal of Neuroscience Methods, Vol. 281(1):7-20, 2017 .( Impact factor: 2.554 -JCR)

1. A parallel approach for the training stage of the Viola-Jones face detection algorithm. Eric Olmedo, Jorge de la Calleja, Alicia Morales-Reyes, Hugo Jair Escalante, Argelia B Urbina Najera, Ma Medina, Antonio Benitez Ruiz. Intelligent Data Analysis, Vol. 21(5):1097-1115, 2017 .( Impact factor: 0.772 -JCR)

2016

• Evolving weighting schemes for the Bag of Visual Words. Hugo Jair Escalante, Víctor Ponce-López, Sergio Escalera, Xavier Baró, Alicia Morales-Reyes, José Martínez-Carranza. Neural Computing and Applications, pp. 1--11, Avaiable online, March 1, 2016.( Impact factor: 1.569 -JCR)
• A naïve Bayes baseline for early gesture recognition. Hugo Jair Escalante, Eduardo F. Morales, L. Enrique Sucar. Pattern Recognition Letters, pp. 1--11, Avaiable online, February 4, 2016.( Impact factor: 1.551 -JCR)
• An online and incremental GRLVQ algorithm for prototype generation based on granular computing.. Israel Cruz-Vega, Hugo Jair Escalante. Soft Computing, pp. 1--14, Avaiable online, February 2, 2016.( Impact factor: 1.271 -JCR)
• Time series forecasting with genetic programming.. Mario Graff , Hugo Jair Escalante, Fernando Ornelas-Tellez, Eric S. Tellez. Natural Computing, pp. 1--10, Avaiable online, January 6, 2016.( Impact factor: 0.757 -JCR)
• PGGP: Prototype Generation via Genetic Programming.. Hugo Jair Escalante, Mario Graff, Alicia Morales-Reyes. Applied Soft Computing, Volume 40, March 2016, pp. 569–580, 2016.( Impact factor: 2.810 -JCR)
• Improving the BoVW via Discriminative Visual N-Grams and MKL Strategies. A. Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Angel Cruz-Roa, Fabio A. González. Neurocomputing, Vol. 175, Part A, 2016, pp. 768–781, available online: November 10, 2015. ( Impact factor: 2.083 -JCR)
• GRASP with Path Relinking for Commercial Districting. Roger Rios-Mercado, Hugo Jair Escalante. Expert Systems with Applications, Vol. 44, pp.102---113, available online: September 27, 2015. ( Impact factor: 2.240 -JCR)
• EMOPG+ FS: Evolutionary multi-objective prototype generation and feature selection. Alejandro Rosales-Pérez, Jesus A Gonzalez, Carlos A Coello Coello, Carlos A Reyes-Garcia, Hugo Jair Escalante. Intelligent Data Analysis, Vol. 20(1):S37-S51, 2016 .( Impact factor: 0.772 -JCR)

2015

• Discriminative Subprofile-Specific Representations for Author Profiling in Social Media. A. Pastor López-Monroy, Manuel Montes-y-Gómez, , Hugo Jair Escalante, , Luis Villaseñor-Pineda, Efstathios Stamatatos. Knowledge-based Systems, available online: July 2, 2015. ( Impact factor: 2.947 -JCR)
• Principal motion components for one-shot gesture recognition. Hugo Jair Escalante, Isabelle Guyon, Vassilis Athitsos, Pat Jangyodsuk, Jun Wan. Pattern Analysis and Applications, available online: May 8, 2015. ( Impact factor: 0.742 -JCR)
• Term-Weighting Learning via Genetic Programming for Text Classification. Hugo Jair Escalante, Mauricio García-Limón, Alicia Morales-Reyes, Mario Graff, Manuel Montes-y-Gómez, Eduardo F. Morales, and José Martinez-Carranza. Knowledge-based Systems, available online: March 29, 2015. ( Impact factor: 3.058 -JCR)
• MOPG: a multi-objective evolutionary algorithm for prototype generation. Hugo Jair Escalante,Maribel Marin-Castro,Alicia Morales-Reyes,Mario Graff,Alejandro Rosales-Pérez,Manuel Montes-y-Gómez,Carlos A. Reyes,Jesus A. Gonzalez. Pattern Analysis and Applications, available online: February 5, 2015. ( Impact factor: 0.742 -JCR)
• Surrogate modeling based on an adaptive network and granular computing. Israel Cruz-Vega, Hugo Jair Escalante, Carlos A. Reyes,Jesus A. Gonzalez, Alejandro Rosales-Pérez. Soft Computing, available online: February 7, 2015. ( Impact factor: 1.304 -JCR)
• Surrogate-Assisted Multi-Objective Model Selection for Support Vector Machines. Alejandro Rosales-Pérez, Jesus A. Gonzalez, Carlos A. Coello Coello, Hugo Jair Escalante, Carlos A. Reyes-Garcia. Neurocomputing, Vol. 150: 163-172 (2015) (available online, November 5, 2014.) ( Impact factor: 2.005 -JCR)
• A note on: Adaptive Fuzzy Fitness Granulation for Evolutionary Optimization. Israel Cruz-Vega, Hugo Jair Escalante. International Journal of Approximate Reasoning, Vol. 57: 40--43 (2015)(available online 28 November, 2014.) (Impact factor: 1.977 -JCR)
• Classifying Infant Cry Patterns by the Genetic Selection of a Fuzzy Model. Alejandro Rosales-Pérez, Carlos Alberto Reyes Garcia, Jesus A. Gonzalez, Orion Reyes-Galaviz, Hugo Jair Escalante, Silvia Orlandi. Biomedical Signal Processing and Control, Vol. 17:38--46, 2015 (available online Dec 2014.) (Impact factor: 1.532 -JCR)
• ChaLearn Looking at People Events. Sergio Escalera, Jordi González, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon. IAPR NewsLetter, Vol 37(4):13—15, 2015
• Deep Learning based Super-Resolution for Improved Action Recognition. K. Nasrollahi, S. Escalera, P Rastiz, G. Anbarjafariz, X. Baró-Sole, H.J. Escalante, and T.B. Moeslund. Proceedings of International Conference on Image Processing Theory, Tools and Applications (IPTA), pp. 67--72, IEEE, 2015
• Gesture and Action Recognition by Evolved Dynamic Subgestures. Víctor Ponce-López, Hugo Jair Escalante, Xavier Baró, Sergio Escalera. In Xianghua Xie, Mark W. Jones, and Gary K. L. Tam, editors, Proceedings of the British Machine Vision Conference (BMVC), pages 129.1-129.13. BMVA Press, September 2015.
• Towards Autonomous Flight of Low-Cost MAVs by Using a Probabilistic Visual Odometry Approach. José Martínez Carranza, Esteban Omar García, Hugo Jair Escalante, Walterio Mayol-Cuevas. MICAI'15, Advances in Artificial Intelligence and Its Applications, Vol. 9414 of LNCS pp. 560--573, Springer, 2015.
• Memetic Genetic Programming based on Orthogonal Projections in the Phenotype Space. Mario Graff, Eric S. Tellez, Hugo Jair Escalante and Jose Ortiz Bejar. Proceedings of IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), pp. 1--6, IEEE, 2015
• Class-specific feature generation for 1NN through genetic programming Mauricio Garcia-Limon, Hugo Jair Escalante, Eduardo F. Morales, Luis Villaseñor. Proceedings of IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), pp. 1--6, IEEE, 2015
• ChaLearn Looking at People 2015 new Competitions: Age Estimation and Cultural Event Recognition. Sergio Escalera, Jordi Gonzalez, Xavier Baro, Pablo Pardo, Junior Fabian, Marc Oliu, Hugo Jair Escalante, Ivan Huerta, Isabelle Guyon. Proceedings of the 2015 International Joint Conference on Neural Networks, IJCNN2015, Killarney, Ireland, July 12-17, pp. 2337--2344, IEEE, 2015.
• Design of the 2015 ChaLearn AutoML Challenge. Isabelle Guyon, Kristin Bennett, Gavin Cawley, Hugo Jair Escalante, Sergio Escalera, Tin Kam Ho, Nuria Macia, Bisakha Ray, Alexander Statnikov, Evelyne Viegas. Proceedings of the 2015 International Joint Conference on Neural Networks, IJCNN2015, Killarney, Ireland, July 12-17, pp. 3442--3449, IEEE, 2015.
• Improving Bag of Visual Words Representations with Genetic Programming. Hugo Jair Escalante, José Martínez-Carranza, Sergio Escalera, Víctor López-Ponce, Xavier Baró. Proceedings of the 2015 International Joint Conference on Neural Networks, IJCNN2015, Killarney, Ireland, July 12-17, pp. 3674--3681, IEEE, 2015.
• An Empirical Analysis on Dimensionality in Cellular Genetic Algorithms. Alicia Morales, Hugo Jair Escalante, Martin Letras. Rene Cumplido. GECCO '15 Proceedings of the 2015 conference on Genetic and evolutionary computation, pp. 895-902, (Full paper, Oral presentation), Madrid, Spain, July, 11-17, 2015.
• AutoML Challenge: Design and First Results. Isabelle Guyon, Kristin Bennett, Gavin Cawley, Hugo Jair Escalante, Sergio Escalera, Tin Kam Ho, Nuria Macia, Bisakha Ray, Mehereen Saed, Alexander Statnikov, Evelyne Viegas. ICML AutoML workshop, 2015.
• ChaLearn Looking at People 2015 challenges: action spotting and cultural event recognition. X. Baró, J. Gonzalez, Junior Fabian, Miguel A. Bautista, Marc Oliu, Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera. CVPR workshop proceedings, 2015
• Improved Learning Rule for LVQ based on Granular Computing. Israel Cruz, Hugo Jair Escalante. In Proceedings of MCPR2015, J.A. Carrasco-Ochoa et al. (Eds.): MCPR 2015, LNCS 9116, pp. 54–63, Springer 2015.
• INAOE-UNAL at ImageCLEF 2015: Scalable Concept Image Annotation. Luis Pellegrin, Jorge A. Vanegas, John E. Arevalo, Viviana Beltrán, Hugo Jair Escalante, Manuel Montes-y-Gómez, Fabio A. González. CLEF (Working Notes), CEUR WS Proceedings, Vol. 1391 2015.
• INAOE's Participation at PAN'15: Author Profiling task. Miguel Ángel Álvarez Carmona, Adrián Pastor López-Monroy, Manuel Montes-y-Gómez, Luis Villaseñor Pineda, Hugo Jair Escalante:. CLEF (Working Notes), CEUR WS Proceedings, Vol. 1391 2015. [Winning approach of the Author profiling task at PAN-CLEF 2015]

2014

• CSMMI: Class-Specific Maximization of Mutual Information for Action and Gesture Recognition. J. Wan, V. Athitsos, P. Jangyodsuk, H.J. Escalante, Q. Ruan, I. Guyon. IEEE Transactions on Image Processing, Vol. 23(7) :3152--3165, July, 2014 ( Impact factor: 3.199 -JCR)
• Wind Speed Forecasting using Portfolio of Forecasters. Mario Graff, Rafael Peña, Aurelio Medina, Hugo Jair Escalante. Renewable Energy 68 (2014) 550—559, 2014. ( Impact factor: 2.989 -JCR)
• The ChaLearn Gesture Dataset CGD 2011. Isabelle Guyon, Vassilis Athitsos, Pat Jangyodsuk, Hugo Jair Escalante. Machine Vision and Applications, Vol. 25(8):1929--1951, 2014 (Available Online January, 2014) ( Impact factor: 1.103 -JCR)
• Multi-Objective Model Type Selection. Alejandro Rosales-Pérez, Jesus A. Gonzalez, Carlos A. Coello Coello, Hugo Jair Escalante, Carlos A. Reyes-Garcia. SI: Bridging Machine learning and Evolutionary Computation (BMLEC)Computational Collective Intelligence, Neurocomputing, Vol. 146:83--94, 2014. ( Impact factor: 2.005 -JCR)
• Learning to Assemble Classifiers via Genetic Programming. Niusvel Acosta-Mendoza, Alicia Morales-Reyes, Hugo Jair Escalante, Andres Gago-Alonso. International Journal of Pattern Recognition and Artificial Intelligence, VOl 28(7):1--18, 2014 (Impact factor: 0.558 -JCR)
• Detection of defective embedded bearings by sound analysis: a machine learning approach. Mario A. Saucedo-Espinosa, Hugo Jair Escalante, and Arturo Berrones. Journal of Intelligent Manufacturing, Published online: November 2014. ( Impact factor: 1.142 -JCR)
• An Adaptive Random Search for Unconstrained Global Optimization. Jonás Velasco, Mario A. Saucedo, Hugo Jair Escalante, Karlo Mendoza, Cesar Emilio Villareal, Oscar Chacón, Adrian Rodríguez, Arturo Berrones. Computación y Sistemas, Vol. 18(2):243—257, 2014.
• Fusing Affective Dimensions and Audio-Visual Features from Segmented Video for Depression Recognition. Humberto Perez-Espinosa, Hugo Jair Escalante, Luis Villaseñor-Pineda, Manuel Montes, David Pinto-Avedaño, Verónica Reyes-Meza. Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge, AVEC’2014, pp. 49--55 (slides)
• Simultaneous Segmentation and Recognition of Hand Gestures for Human-Robot Interaction. Simultaneous Segmentation and Recognition of Hand Gestures for Human-Robot Interaction. Harold Vasquez, Hugo Jair Escalante, L. Enrique Sucar. Proceedings of 16th International Conference on Advanced Robotics (ICAR), 2013, pp. 1--6, 2014.
• Simultaneous Generation of Prototypes and Features through Genetic Programming. Mauricio García-Limón, Hugo Jair Escalante, Eduardo Morales, Alicia Morales. GECCO '14 Proceedings of the 2014 conference on Genetic and evolutionary computation, pp. 517-524, (Full paper, Oral presentation), Vancouver, Canada, July, 12-17, 2014.
• An Evolutionary Multi-Objective Approach for Prototype Generation. Alejandro Rosales, Hugo Jair Escalante, Jesus A. Gonzalez, Carlos A. Coello, Carlos A. Reyes. CEC’14: Proceedings of the IEEE Congress on Evolutionary Computation, pp. 1100—1007, (Full paper, Oral presentation), Beijing, China, July 6-11, 2014.
• Adaptive Surrogates with a Neuro-Fuzzy Network and Granular Computing. Israel Cruz Vega, Mauricio García-Limón, Hugo Jair Escalante. GECCO '14 Proceedings of the 2014 conference on Genetic and evolutionary computation, pp. 761-768, (Full paper, Oral presentation), Vancouver, Canada, July, 12-17, 2014.
• Genetic programming of text representations. Mauricio García-Limón, Hugo Jair Escalante, Manuel Montes-y-Gómez, Alicia Morales, Eduardo Morales. GECCO Comp'14 Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion, pp. 1459-1460, (Late-breaking abstract, Oral presentation), Vancouver, Canada, July, 12-17, 2014.
• Object Recognition with Naive Bayes-KNN via Prototype Generation. Hugo Jair Escalante, Mauricio Sotomayor, Manuel Montes, A. Pastor López-Monroy. In J.F. Martínez Trinidad, J. A. Carrasco-Ochoa, J. A. Olvera-López, J. Salas Rodríguez, C. Y. Suen (Eds.): Pattern Recognition - 6th Mexican Conference, MCPR 2014, Cancun, Mexico, June 25-28, 2014. Proceedings. Springer 2014 Lecture Notes in Computer Science ISBN 978-3-319-07490-0
• Extensión de una Red Neuronal Relacional Difusa incorporando distintos productos relacionales a la etapa de entrenamiento. Efraín Mendoza Castañeda, Carlos Alberto Reyes García and Hugo Jair Escalante. Proceedings of COMIA, Research in Computing Science Vol. 72, IPN, 73—84, ISSN 1870-4069, 2014. (Spanish)
• Image Classification through Text Mining techniques: a Doctoral Research Proposal. A. Pastor López-Monroy, Manuel Montes-Y-Gómez, Hugo Jair Escalante and Fabio A. González. MCPR’s graduate students meeting, Research in Computing Science Vol. 71, pp. 63—72, IPN, ISSN 1870-4069, 2014. [Granted the Best Poster Award]
• Using Intra-Profile Information for Author Profiling, Notebook for PAN at CLEF 2014. A. Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor. In L. Cappellato, N. Ferro, M. Halvey, W. Kraaij Eds. Working Notes for CLEF 2014 Conference, Sheffield, UK, September 15-18, 2014, CEUR Workshop proceedings, Vol. 1180, pp. 1116-1120, 2014 [Winning approach of the Author profiling task at PAN-CLEF 2014]
• Tus Mensajes Dicen Más de lo que Crees. Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Villaseñor. Saberes y Ciencias. El suplemento mensual de La Jornada de Oriente, pp. 10, Febrero 13, 2014.
• ChaLearn Looking at People Challenge 2014: Dataset and Results. Sergio Escalera, Xavier Baró, Jordi Gonzalez, Miguel A Bautista, Meysam Madadi, Miguel Reyes, V. Ponce, Hugo Jair Escalante, Jamie Shotton, Isabelle Guyon. Proceedings of the ECCV14 ChaLearn Workshop on Looking at People, Zurich, Switzerland, September 6-7, 2014.
• Enhanced Fuzzy-Relational Neural Network with Alternative Relational Products. Efraín Mendoza-Castañeda, Carlos A. Reyes García, Hugo Jair Escalante, Wilfrido Moreno, Alejandro Rosales-Pérez. CIARP 14: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, LNCS, Vol. 8827, pp. 666-673, 2014,
• Evolutionary Multi-Objective Approach for Prototype Generation and Feature Selection. Alejandro Rosales-Pérez, Jesús A. González, Carlos A. Coello Coello, Carlos A. Reyes García, Hugo Jair Escalante. CIARP 14: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, LNCS, Vol. 8827, pp. 424-431, 2014,
• Towards Simultaneous Prototype and Feature Generation. Mauricio Alfonso García Limón, Hugo Jair Escalante Balderas and Eduardo Morales Manzanares. Proceedings of the XVI IEEE Autumn Meeting of Power, Electronics and Computer Science ROPEC 2014 INTERNACIONAL, pp. 393—398, 2014. (slides)
• Comparison between Genetic Programming and Full Model Selection on Classification Problems. José María Valencia-Ramírez, Julio Raya, Rafael Cedeño, Ranyart Rodrigo Suárez, Hugo Jair Escalante, Mario Graff. Proceedings of the XVI IEEE Autumn Meeting of Power, Electronics and Computer Science ROPEC 2014 INTERNACIONAL, pp. 428—433, 2014.
• Evaluating Term-Expansion for Unsupervised Image Annotation. Luis Pellegrin, Hugo Jair Escalante, Manuel Montes-y-Gómez. In A. Gelbukh et al. (Eds.): MICAI 2014, Human-Inspired Computing and Its Applications, Part I, LNCS Volume 8856, 2014, pp 151-162, 2014.

2013

• Sow activity classification from acceleration patterns: a machine learning approach. Hugo Jair Escalante, Sara V. Rodriguez, Jorge Cordero, Anders Ringgaard Kristensen, Cécile Cornou. Computers and Electronics in Agriculture, Vol 93, 17--23, 2013. ( Impact factor: 1.846 - JCR)
• Multimodal Markov Random Field for Image Re-ranking based on Relevance Feedback. Ricardo Omar Chavez, Hugo Jair Escalante, Manuel Montes-y-Gómez, and L. Enrique Sucar. ISRN Machine Vision Journal, Volume 2013 (2013), Article ID 428746, 16 pages, 2013.
• Models of Performance of Time Series Forecasters. Mario Graff, Hugo Jair Escalante, Jaime Cerda-Jacobo, Alberto Avalos Gonzalez. Neurocomputing, Available online July 1st, 2013 ( Impact factor: 1.643 - JCR)
• Results and Analysis of the ChaLearn Gesture Challenge 2012. Isabelle Guyon, Vassilis Athitsos, Pat Jangyodsuk, Hugo Jair Escalante, and Ben Hamner. Invited chapter, X. Jiang et al. (Eds.): WDIA: Advances in Depth Image Analysis and Applications, LNCS 7854, pp. 186—204, Springer, 2013.
• Automatic Classification of Web Databases using domain-dictionaries. Heidy M. Marin-Castro, Victor J. Sosa-Sosa, Ivan Lopez-Arevalo, and Hugo Jair Escalante. In Petra Perner (Ed.): Machine Learning and Data Mining in Pattern Recognition, 9th International Conference, July 19-25, 2013, New York/USA, LNAI 7988, pp. 340—351, Springer, 2013.
• Distributional Term Representations for Short-Text Categorization. Juan Manuel Cabrera, Hugo Jair Escalante, Manuel Montes y Gómez. In A. Gelbukh (Ed.): CICLing 2013, Part II, LNCS 7817, pp. 335–346, Springer, 2013. (4th International Conference on Intelligent Text Processing and Computational Linguistics - CICLing 2013, Samos, Greece, March 24–30, 2013.
• Bias and Variance Multi-Objective Optimization for Support Vector Machines Model Selection. Alejandro Rosales, Hugo Jair Escalante, Carlos A. Reyes, Jesús A. González, Carlos A. Coello. In J.M. Sanches, L. Micó, and J.S. Cardoso (Eds.): IbPRIA 2013, IbPRIA 2013: 6th Iberian Conference on Pattern Recognition and Image Analysis, Madeira, Portugal. June 5-7, 2013, LNCS 7887, pp. 108–116, 2013
• Genetic Programming of Prototypes for Pattern Classification. Hugo Jair Escalante, Karlo Mendoza, Mario Graff. In J.M. Sanches, L. Micó, and J.S. Cardoso (Eds.): IbPRIA 2013, IbPRIA 2013: 6th Iberian Conference on Pattern Recognition and Image Analysis, Madeira, Portugal. June 5-7, 2013, LNCS 7887, pp. 100–107, 2013
• Bias and Variance Optimization for SVMs Model Selection. Alejandro Rosales, Hugo Jair Escalante, Carlos A. Reyes, Jesús A. González, Carlos A. Coello. Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, pp. 136--141, May 22 - 24, 2013, St. Pete Beach, Florida, USA, 2013.
• Sexual predator detection in chats with chained classifiers. Hugo Jair Escalante, Antonio Juárez-González, Esaú Villatoro-Tello, Manuel Montes-y-Gómez, Luis Villaseñor Pineda. Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 46–54, Atlanta, Georgia, 14 June 2013.
• A Hybrid Surrogate-Based Approach for EvolutionaryMulti-Objective Optimization. Alejandro Rosales, Carlos A. Coello, Jesús A. González, Carlos A. Reyes, Hugo Jair Escalante. Proceedings of the IEEE Congress on Evolutionary Computation, Cancún, México, June 20-23, pp. 2548—2555, ISBN-978-1-4799-0455, 2013.
• Simultaneous segmentation and recognition of gestures for human-machine interaction. Harold Vasquez, L. Enrique Sucar, Hugo Jair Escalante. In J. Gama, M. May, N. Marques, P. Cortez and C. A. Ferreira (Eds.); Proceedings of the 3rd Workshop on Ubiquitous Data Mining (UDM) - co-located with the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), Beijing, China, August 3, 2013, CEUR Workshop Proceedings Vol. 1088, pp- 29—33, 2013.
• INAOE’s participation at PAN’13: Author Profiling task. Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor-Pineda, and Esaú Villatoro-Tello. Notebook for PAN at CLEF 2013. In Pamela Forner, Roberto Navigli, and Dan Tufis, editors. CLEF 2013 Evaluation Labs and Workshop – Working Notes Papers, 23-26 September, Valencia, Spain, ISBN 978-88-904810-5-5ISSN 2038-4963, 2013. [Winning approach of the Author profiling task at PAN-CLEF 2013]
• Novel representations and methods in text classification. Manuel Montes-y-Gómez, Hugo Jair Escalante. Course taught at the 2013 Russian Summer School on Information Retrieval, RUSSIR 2013. September, 2013.
• TIA-INAOE's approach for the 2013 Retrieving Diverse Social Images task. Hugo Jair Escalante, Alicia Morales. MediaEval 2013 Workshop, October 18-19, 2013, Barcelona, Spain, CEUR Workshop Proceedings, Vol. 1043, 2013, CEUR-WS.org, ISSN: 1613-0073. 2013.
• Principal motion components for gesture recognition using a single-example. Hugo Jair Escalante, Isabelle Guyon, Vassilis Athitsos, Pat Jangyodsuk, Jun Wan. arXiv preprint, 1310.4822, October 17, 2013
• Bag-of-Visual-Ngrams for Histopathology Image Classification. A. Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Angel Cruz-Roa, Fabio A. González. Proceedings of SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 89220P (November 19, 2013); doi: 10.1117/12.2034113, Mexico ciy, November 13-15, SPIE, 2013.
• A One-shot DTW-Based Method for Early Gesture Recognition. Yared Sabinas, Eduardo Morales, Hugo Jair Escalante. In José Ruiz-Shulcloper, Grabiella Sanniti di Baja (Eds): Progress in Pattern Recognition, Image Analysis, Computer Vision and Applications, 18th Iberoamerican Congress, CIARP, Havana, Cuba, November 20-23, Proceedings, Part II, LNCS 8259, pp. 439—446, Springer, 2013.
• Genetic Programming of Heterogeneous Ensembles for Classification. Hugo Jair Escalante, Niusvel Acosta, Alicia Morales, A. Gago. In José Ruiz-Shulcloper, Grabiella Sanniti di Baja (Eds): Progress in Pattern Recognition, Image Analysis, Computer Vision and Applications, 18th Iberoamerican Congress, CIARP, Havana, Cuba, November 20-23, Proceedings, Part I, LNCS 8258, pp. 9—16, Springer, 2013.
• Towards Human-Robot-Interaction in Continuous video with Gestures for Sabina. Harold Vasquez Chavarria, Hugo Jair Escalante, L. Enrique Sucar, Miguel Palacios, Patrick Heyer. Proceedings of the Workshop on Robocup@home league. ICAR 2013 - 16th International Conference on Advanced Robotics, 2013.
• Multi-modal Gesture Recognition Challenge 2013: Dataset and Results. Sergio Escalera, Jordi Gonzàlez, Xavier Baró, Miguel Reyes, Oscar Lopes, Isabelle Guyon, Vassilis Athistos, Hugo Jair Escalante. ICMI '13 Proceedings of the 15th ACM on International conference on multimodal interaction, pp. 445-452, ISBN: 978-1-4503-2129-7 doi: 10.1145/2522848.2532595, ACM New York, NY, USA, 2013.
• ChaLearn Multi-Modal Gesture Recognition 2013: Grand Challenge and Workshop Summary. Sergio Escalera, Jordi Gonzàlez, Xavier Baró, Miguel Reyes, Isabelle Guyon, Vassilis Athistos, Hugo Jair Escalante, Leonid Sigal, Antonis Argyros, Cristian Sminchisescu and Stan Sclaroff. ICMI '13 Proceedings of the 15th ACM on International conference on multimodal interaction, pp. 365—368, ISBN: 978-1-4503-2129-7 doi:10.1145/2522848.2532597, ACM New York, NY, USA, 2013.

2012

• Predicting Overfitting on Time Series Forecasters. Mario Graff, Hugo Jair Escalante, and Alberto Avalos Gonzalez. Proceedings of the IEEE XIV ROPEC 2012, Colimna, Mexico, November 2012.
• A Two-step Approach for Effective Detection of Misbehaving Users in Chats. Esaú Villatoro-Tello, Antonio Juárez-González, Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Villaseñor Pineda. In Forner, P., Karlgren, J., Womser-Hacker, C. (eds.): CLEF 2012 Evaluation Labs and Workshop - Working Notes Papers, ISSN 2038--4963, ISBN 978-88-904810-3-1, 17-20 September 2012, Rome, Italy (2012) [Winning approach of the Sexual predator detection task at PAN-CLEF 2012]
• ChaLearn Gesture Challenge: Design and First Results. Isabelle Guyon, Vassilis Athitsos, Pat Jangyodsuk, Ben Hamner, and Hugo Jair Escalante. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Workshop on Gesture Recognition and Kinect Demonstration Competition, Providence, Rhode Island, USA, June 2012.
• Multimodal Document Indexing based on Semantic Cohesion for Image Retrieval. Hugo Jair Escalante, Manuel Montes and Enrique Sucar. Information Retrieval Journal, Vol. 15(1):1--32, 2012. (Impact factor: 0.914 - JCR)
• Acute leukemia classification by ensemble particle swarm model selection. Hugo Jair Escalante, Manuel Montes-y-Gómez, Jesús A. González, Pilar Gómez-Gil, Leopoldo Altamirano, Carlos A. Reyes, Carolina Reta, Alejandro Rosales. Artificial Intelligence in Medicine. Vol 55(3):163--175, Available online 15 April 2012. (Impact factor: 1.345 - JCR)
• Multi-class Particle Swarm Model Selection for Automatic Image Annotation. Hugo Jair Escalante, Manuel Montes, Enrique Sucar. Expert Systems With Applications. Vol. 39(12):11011--11021,Available online 10 March, 2012. (Impact factor: 2.203 - JCR)
• Semantic Cohesion for Image Annotation and Retrieval, Summary of PhD Thesis. Hugo Jair Escalante, Manuel Montes and Enrique Sucar. Computación y Sistemas, Vol. 16(1):121--126, 2012.
• Principal motion: PCA-based reconstruction of motion histograms. Hugo Jair Escalante, Isabelle Guyon. Technical report, ChaLearn Technical Memorandum, June 2012.
• Detección automática de fallas de baleros en un procesode manufactura: Un estudio comparativo. Hugo Jair Escalante, Katia Espinosa Guevara, Arturo Berrones Santos, Mario A. Saucedo Espinosa. Ingenierías, Vol. 15(55):15--22, 2012. Refereed article (Spanish)
• Comparación de métricas de dispersión en optimización de sistemas territoriales comerciales. Brenda Aide Peña Cantú, Roger Z. Ríos Mercado, Hugo Jair Escalante. Ingenierías, Vol. 15(55):23--31, 2012. Refereed article (Spanish)

2011

• A Comparative Study of Object-level Spatial Context Techniques for Semantic Image Analysis. Georgios Th. Papadopoulos, Carsten Saathoff, Hugo Jair Escalante, Vasileios Mezaris, Iannis Kompatsiaris, Michael G Strintzis. Computer Vision and Image Understanding, Vol. 115(9):1288–1307, 2011. (Impact factor: 1.340 - JCR)
• An Energy-based Model for Region Labeling. Hugo Jair Escalante, Manuel Montes and Enrique Sucar. Computer Vision and Image Understanding, 115(6):787–803, 2011. (Impact factor: 1.340 - JCR)
• Particle Swarm Model Selection. Hugo Jair Escalante, Manuel Montes and Enrique Sucar. Book Chapter in Isabelle Guyon, Gavin Cawley, Gideon Dror, and Amir Saffari (Editors). Hands on Pattern Recognition, Challenges in Machine Learning Series, Vol. 1, pp. 309–344, Microtome Publishing, Brookline, Massachusetts, 2011.
• Local Histograms of Character n-grams for Authorship Attribution. Hugo Jair Escalante, Thamar Solorio, Manuel Montes.Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, pp. 288–298, Portland, Oregon, June 19-24, 2011.
• A MILP Bi-objective Model for Static Portfolio Selection of R&D Projects with Synergies. Igor Litvinchev, Fernando Lopez, Hugo Jair Escalante, Miguel Mata. Journal of Computer and Systems Sciences International, volume 50(6):942--952, 2011. (Impact factor: 0.168 - JCR)
• Ver para aprender y aprender a ver: sinergias entre aprendizaje automático y visión computacional Hugo Jair Escalante, Eduardo Morales. In Komputer Sapiens, volume 3, 2011. Invited article (Spanish)
• Weighted Profile Intersection Measure for Profile-based Authorship Attribution Hugo Jair Escalante, Thamar Solorio, Manuel Montes. In MICAI 2011: Proceedings of the Mexican International Conference on Artificial Intelligence, Part I (I. Batyrshin, G. Sidorov, eds.), Springer, Heidelberg, volume 7094, 2011.
• Instance Selection based on the Silhouette Coefficient Measure for Text Classification. Debangana Dey, Thamar Solorio, Manuel Montes, Hugo Jair Escalante. In MICAI 2011: Proceedings of the Mexican International Conference on Artificial Intelligence, Part I (I. Batyrshin, G. Sidorov, eds.), Springer, Heidelberg, volume 7094, 2011. [3rd place in Best student paper award]
• EPSMS and the Document Occurrence Representation for Authorship Identification – Notebook for PAN at CLEF 2011. Hugo Jair Escalante. CLEF2011 Notebook papers, Amsterdam, The Netherlands, September, 2011.
• Proceedings of the 2010 Automatic Image Annotation and Retrieval Workshop (AIAR 2010). L. Enrique Sucar and Hugo Jair Escalante (Eds.). CEUR-Workshop Proceedings, Vol. 719, 2011 (ISSN 1613-0073).
• Interactive Construction of Visual Concepts for Image Annotation and Retrieval. Hugo Jair Escalante, J. Antonio Gonzalez-Pliego, Ruben Peralta-Gonzaga. Proceedings of the 2010 Automatic Image Annotation and Retrieval Workshop (2010), CEUR-Workshop Proceedings, Vol. 719, pp. 47–57, 2011.
• Simplified Quadtree Image Segmentation for Image Annotation. Gerardo R. Conde Marquez, Hugo Jair Escalante, Enrique Sucar.Proceedings of the 2010 Automatic Image Annotation and Retrieval Workshop (2010), CEUR-Workshop Proceedings, Vol. 719, pp. 24–34, 2011.
• Comparación de métricas en sistemas territoriales Brenda A. Peña-Cantu, Roger Z. Rios-Mercado, Hugo Jair Escalante. In Proceedings of the VII FIME Conference on Industrial and Systems Engineering, FIME-UANL, 2011. ((Spanish))
• A MILP Bi-objective Model for Static Portfolio Selection of R&D Projects with Synergies Igor Litvinchev, Fernando Lopez, Hugo Jair Escalante, Miguel Mata, G. Tenorio. Technical report, PISIS-02-2011, Graduate Program on Systems Engineering, UANL, 2011.
• An Improved GRASP with Path Relinking for the Commercial Territory Design Problem. Hugo Jair Escalante, Roger Z. Rios-Mercado. Technical report, PISIS-10-2011, Graduate Program on Systems Engineering, UANL, 2011.
• An Estimation of Distribution Algorithm with Adaptive Gibbs Sampling for Unconstrained Global Optimization. Jonás Velasco, Mario A. Saucedo, Hugo Jair Escalante, Karlo Mendoza, Cesar Emilio Villareal, Oscar Chacón, Adrian Rodríguez, Arturo Berrones. Technical report, PISIS-11-2011, Graduate Program on Systems Engineering, UANL, 2011.

2010

• The Segmented and Annotated IAPR-TC12 Benchmark. Hugo Jair Escalante, Michael Grubinger, Carlos Hernandez, Jesus A. Gonzalez, Aurelio Lopez, Manuel Montes, Eduardo Morales, Enrique Sucar, and Luis Villaseñor. Computer Vision and Image Understanding Journal, 114(4):419—428, 2010. (Impact factor: 1.340 - JCR)
• Ensemble Particle Swarm Model Selection. Hugo Jair Escalante, M. Montes and E. Sucar. Proceedings of the International Joint Conference on Neural Networks 2010, pp. 1814--1821, July, IEEE, Barcelona, Spain, 2010 [received the best student paper award]
• Summary of PhD Thesis: Semantic Cohesion for Image Annotation and Retrieval. Hugo Jair Escalante, Manuel Montes, Enrique Sucar. Technical report, CCC-04-2010, Computer Science Department, INAOE, 2010.

2009

• Particle Swarm Model Selection. Hugo Jair Escalante, Enrique Sucar, Manuel Montes. Journal of Machine Learning Research, 10(Feb):405--440, 2009. (Impact factor: 2.682 - JCR)
• Particle Swarm Model Selection for Authorship Verification. Hugo Jair Escalante, Manuel Montes, and Luis Villaseñor. In CIARP'09: Proceedings of the 14th Iberoamerican Congress on Pattern Recognition, LNCS 5856, pp. 563—570, Springer, November 15-18, Guadalajara, Mexico, 2009.
• Annotation-Based Expansion and Late Fusion of Mixed Methods for Multimedia Image Retrieval. Hugo Jair Escalante, Jesus A. Gonzalez, Carlos Hernandez, Aurelio Lopez, Manuel Montes, Eduardo Morales, Enrique Sucar, and Luis Villaseñor. In C. Peters et al. editors, Evaluating Systems for Multilingual and Multimodal Information Access, LNCS 5706, pp. 669--676, Springer-Verlag Berlin, Heidelberg, 2009.
• TIA-INAOE's Participation to ImageCLEF2009. Hugo Jair Escalante, Jesus A. Gonzalez, Carlos Hernandez, Aurelio Lopez, Manuel Montes, Eduardo Morales, Elias Ruiz, Enrique Sucar, and Luis Villaseñor. In Working Notes of the CLEF 2009 Worshop, Corfu, Grecee, September 30 - October 3, 2009.
• On the SAIAPR TC-12 Benchmark. Hugo Jair Escalante, Manuel Montes and Enrique Sucar. THESEUS'09: Proceedings of the 2009 Theseus/ImageCLEF Workshop, pp. 44—51, Corfu Greece, September 29, 2009.
• Particle Swarm Optimization and Meta-Ensembles for the AusDM2009 Analytic Challenge. Hugo Jair Escalante. Report of participation at the AusDM2009 Analytic challenge.
• On Multimedia Retrieval Baselines. Hugo Jair Escalante, Manuel Montes and Enrique Sucar. In PI'09: Proceedings of the VI CIMAT Workshop on Image Processing, Guanajuato, Mexico, August 20--21, 2009.

2008

• Late Fusion of Heterogeneous Methods for Multimedia Image Retrieval. Hugo Jair Escalante, Carlos Hernandez, Enrique Sucar, Manuel Montes. In MIR'08: Proceedings of the 2008 ACM Multimedia Information Retrieval Conference, ACM Press, 2008.
• Towards Annotation-Based Query and Document Expansion for Image Retrieval. Hugo Jair Escalante, Carlos Hernandez, Aurelio Lopez, Heidy Marin, Manuel Montes, Eduardo Morales, Enrique Sucar, Luis Villaseñor. In Advances in Multilingual and Multimodal Information Retrieval, 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007 Budapest, Hungary, September 19-21, 2007, Revised Selected Papers (C. Peters et al., ed.), Springer-Verlag, volume 5152, 2008.
• Overview of the ImageCLEF 2007 Object Retrieval Task Thomas Deselaers, A. Hanbury, V. Viitaniemi, J.D R. Farquhar, M. Brendel, B. Daroczy, Hugo Jair Escalante, T. Gevers, C. Hernandez, S. C. H. Hoi, J. Laaksonen, M. Li, H. M. Marin, H. Ney, X. Rui, N. Sebe, J. Stottinger, L. W. In Advances in Multilingual and Multimodal Information Retrieval, 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007 Budapest, Hungary, September 19-21, 2007, Revised Selected Papers (C. Peters, V. Jijkoun, Th. Mandl, H. Müller, D. W. Oard, A. Peñas, V. Petras, D. Santos, eds.), Springer-Verlag, volume 5152, 2008.
• Improving Automatic Image Annotation Based on Word Co-occurrence. Hugo Jair Escalante, Manuel Montes, Enrique Sucar. In AMR'07: Proceedings of the Adaptive Multimedia Retreival workshp 2007 (N. Boujemaa, M. Detyniecki, A. Nürnberger, eds.), Springer-Verlag, volume 4918, 2008.
• An Energy-based Model for Feature Selection. Hugo Jair Escalante, Manuel Montes, Enrique Sucar. Presented at the Workshop on Causality Challenge in WCCI08, abstract appears in WCCI08 proccedings, 2008. (Hong-Kong, China, June 3-4, 2008.)
• Segmenting and annotating the IAPR-TC12 Benchmark. Hugo Jair Escalante, Carlos Hernandez-Gracidas, Jesus A. Gonzalez, Aurelio Lopez, Manuel Montes, Eduado Morales, Enrique Sucar, Luis Villaseñor. Technical report, CCC-05-2008, Computer Science Department, INAOE, 2008.
• Particle Swarm Optimization for Classifier Selection. Hugo Jair Escalante, Manuel Montes, Enrique Sucar. In Proceedings of 9no. Encuentro de Investigacion, INAOE, INAOE, 2008.
• TIA-INAOE Participation at ImageCLEF2008. Hugo Jair Escalante, Jesus A. Gonzalez, Carlos Hernandez, Aurelio Lopez, Manuel Montes, Eduardo Morales, Enrique Sucar, Luis Villaseñor. In Working Notes of the CLEF 2008 Workshop, CLEF, 2008.

2007

• Word Co-occurrence and Markov Random Fields for Improving Automatic Image Annotation. Hugo Jair Escalante, Manuel Montes, Enrique Sucar. In Proceedings of the 18th British Machine Vision Conference, volume 2, 2007.
• PSMS for Neural Networks on the IJCNN 2007 Agnostic vs Prior Knowledge Challenge. Hugo Jair Escalante, Manuel Montes, Enrique Sucar. In IJCNN'07: IEEE-INNS Proceedings of 20th International Joint Conference on Neural Networks, IEEE, 2007.
• CLOP: a Matlab Learning Object Package. Isabelle Guyon, Amir Saffari, Hugo Jair Escalante, Gokan Bakir, Gavin Cawley. In NIPS 2007 Demonstrations, Vancouver, British Columbia, Canada, 2007.
• TIA-INAOE's Participation at ImageCLEF 2007. Hugo Jair Escalante, Carlos Hernandez, Aurelio Lopez, Heidy Marin, Manuel Montes, Eduardo Morales, Enrique Sucar, Luis Villaseñor. In Working Notes of the CLEF 2007 Workshop, 19-21 September, Budapest Hungary (A. Nardi, C. Peters, eds.), CLEF, 2007.
• Towards a Region-level Image Annotation Benchmark Hugo Jair Escalante, Michael Grubinger, Manuel Montes, Enrique Sucar. In Proceedings of the 3rd MUSCLE Workshop on Image and Video Retrieval Evaluation, MUSCLE, 2007.
• Multimedia Information Retrieval based on Semantic Cohesion. Hugo Jair Escalante, Manuel Montes, Enrique Sucar. Doctoral consortium, in proceedings of the Mexican International Conference on Computer Science (ENC 2007), 2007. (Morelia Mich. Mexico)

2006 and earlier

• Analysis of Galactic Spectra using Noise-Aware Learning Algorithms. Hugo Jair Escalante, Olac Fuentes. In Proceedings of the 19th International FLAIRS Conference (FLAIRS-19) (G. Sutcliffe, R. Goebel, eds.), 2006.
• Cleaning Training Datasets with Noise-Aware Algorithms. Hugo Jair Escalante. In Proceedings of the Seventh Mexican International Conference on Computer Science (ENC 2006) (S. Rajsbaum, ed.), IEEE Computer Society, 2006.
• Kernel Methods for Anomaly Detection and Noise Elimination. Hugo Jair Escalante. Chapter in Advances in Computer Science and engineering - 7th International Conference on Computing (CORE 2006), IPN, volume 19, 2006.
• Noise-Aware Algorithms for Analysis of Galactic Spectra Hugo Jair Escalante, Olac Fuentes. Chapter in Advances in Computer Science and engineering - 7th International Conference on Computing (CORE 2006), IPN, volume 19, 2006.
• A Comparison of Outlier Detection Algorithms for Machine Learning Hugo Jair Escalante. CIC-2005 Congreso Internacional en Computacion - IPN, 2005.
• Noise Elimination with a Re-Sampling Algorithm. Hugo Jair Escalante, Olac Fuentes. In Proceedings of First Iberoamerican Workshop on Machine Learning for Scientific Data Analysis (G. de Ita, O. Fuentes, M. Osorio, eds.), 2004.