Publications By Type

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  1. 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)
  2. 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 , Avaiable online, January 18, 2018.( Impact factor: 3.724 -JCR)
  3. 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)
  4. 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)
  5. 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)
  6. 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)
  7. 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)
  8. 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)
  9. 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)
  10. 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)
  11. 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)
  12. 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)
  13. 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)
  14. 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)
  15. 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)
  16. 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)
  17. 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)
  18. 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)
  19. 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)
  20. 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)
  21. 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)
  22. 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)
  23. 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)
  24. 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)
  25. 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)
  26. 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)
  27. 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)
  28. 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)
  29. 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)
  30. 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)
  31. 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)
  32. 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.
  33. 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)
  34. 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)
  35. 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)
  36. 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.
  37. 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)
  38. 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)
  39. 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)
  40. 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.
  41. 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)
  42. 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)
  43. 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)
  44. 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)
  45. 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)


Book chapters

  • 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.
  • 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.


International conferences

International workshops

National conferences

Technical reports