Hugo Jair Escalante Balderas

2016

• [C1]In defense of online Kmeans for prototype generation and instance reduction
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2016 · Vol. 10022 LNAI · pp. 310-322
  García-Limón M.; Escalante H.J.; Morales-Reyes A.
  DOIhttps://doi.org/10.1007%2F978-3-319-47955-2_26

2015

• [C2]Deep learning based super-resolution for improved action recognition
  Conferencia · 5th International Conference on Image Processing Theory Tools and Applications 2015 Ipta 2015 · 2015 · pp. 67-72 · Citas: 24
  Nasrollahi K.; Escalera S.; Rasti P.; Anbarjafari G.; Baro X.; Escalante H.J.; Moeslund T.B.
  DOIhttps://doi.org/10.1109%2FIPTA.2015.7367098
• [C3]ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition
  Conferencia · IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · 2015 · Vol. 2015-October · pp. 1-9 · Citas: 28
  Baró X.; Gonzàlez J.; Fabian J.; Bautista M.A.; Oliu M.; Escalante H.J.; Guyon I.; Escalera S.
  DOIhttps://doi.org/10.1109%2FCVPRW.2015.7301329
• [C4]Design of the 2015 ChaLearn AutoML challenge
  Conferencia · Proceedings of the International Joint Conference on Neural Networks · 2015 · Vol. 2015-September · Citas: 82
  Guyon I.; Bennett K.; Cawley G.; Escalante H.J.; Escalera S.; Ho T.K.; Macià N.; Ray B.; Saeed M.; Statnikov A.; Viegas E.
  DOIhttps://doi.org/10.1109%2FIJCNN.2015.7280767
• [C5]ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition
  Conferencia · Proceedings of the International Joint Conference on Neural Networks · 2015 · Vol. 2015-September · Citas: 13
  Escalera S.; Gonzalez J.; Baro X.; Pardo P.; Fabian J.; Oliu M.; Escalante H.J.; Huerta I.; Guyon I.
  DOIhttps://doi.org/10.1109%2FIJCNN.2015.7280614
• [C6]Improving bag of visual words representations with genetic programming
  Conferencia · Proceedings of the International Joint Conference on Neural Networks · 2015 · Vol. 2015-September · Citas: 2
  Escalante H.J.; Martínez-Carraza J.; Escalera S.; Ponce-López V.; Baró X.
  DOIhttps://doi.org/10.1109%2FIJCNN.2015.7280799
• [C7]An empirical analysis on dimensionality in cellular genetic algorithms
  Conferencia · Gecco 2015 Proceedings of the 2015 Genetic and Evolutionary Computation Conference · 2015 · pp. 895-902 · Citas: 2
  Morales-Reyes A.; Escalante H.; Letras M.; Cumplido R.
  DOIhttps://doi.org/10.1145%2F2739480.2754699
• [A1]Surrogate-assisted multi-objective model selection for support vector machines
  Artículo · Neurocomputing · 2015 · Vol. 150 · Núm. Part A · pp. 163-172 · Citas: 31
  Rosales-Pérez A.; Gonzalez J.A.; Coello Coello C.A.; Escalante H.J.; Reyes-Garcia C.A.
  DOIhttps://doi.org/10.1016%2Fj.neucom.2014.08.075
• [O1]A note on "adaptive fuzzy fitness granulation for evolutionary optimization"
  re · International Journal of Approximate Reasoning · 2015 · Vol. 57 · pp. 40-43 · Citas: 6
  Cruz-Vega I.; Escalante H.J.
  DOIhttps://doi.org/10.1016%2Fj.ijar.2014.11.006
• [C8]Chalearn looking at people challenge 2014: Dataset and results
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2015 · Vol. 8925 · pp. 459-473 · Citas: 113
  Escalera S.; Baró X.; Gonzàlez J.; Bautista M.A.; Madadi M.; Reyes M.; Ponce-López V.; Escalante H.J.; Shotton J.; Guyon I.
  DOIhttps://doi.org/10.1007%2F978-3-319-16178-5_32
• [A2]Classifying infant cry patterns by the Genetic Selection of a Fuzzy Model
  Artículo · Biomedical Signal Processing and Control · 2015 · Vol. 17 · pp. 38-46 · Citas: 57
  Rosales-Pérez A.; Reyes-García C.A.; Gonzalez J.A.; Reyes-Galaviz O.F.; Escalante H.J.; Orlandi S.
  DOIhttps://doi.org/10.1016%2Fj.bspc.2014.10.002
• [C9]Towards autonomous flight of low-cost mavs by using a probabilistic visual odometry approach
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2015 · Vol. 9414 · pp. 560-573 · Citas: 2
  Martínez-Carranza J.; Garcia E.O.; Escalante H.J.; Mayol-Cuevas W.
  DOIhttps://doi.org/10.1007%2F978-3-319-27101-9_43
• [C10]Improved learning rule for LVQ based on granular computing
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2015 · Vol. 9116 · pp. 54-63 · Citas: 5
  Cruz-Vega I.; Escalante H.
  DOIhttps://doi.org/10.1007%2F978-3-319-19264-2_6

2014

• [A3]Multi-objective model type selection
  Artículo · Neurocomputing · 2014 · Vol. 146 · pp. 83-94 · Citas: 25
  Rosales-Pérez A.; Gonzalez J.A.; Coello Coello C.A.; Escalante H.J.; Reyes-Garcia C.A.
  DOIhttps://doi.org/10.1016%2Fj.neucom.2014.05.077
• [A4]The ChaLearn gesture dataset (CGD 2011)
  Artículo · Machine Vision and Applications · 2014 · Vol. 25 · Núm. 8 · pp. 1929-1951 · Citas: 92
  Guyon I.; Athitsos V.; Jangyodsuk P.; Escalante H.J.
  DOIhttps://doi.org/10.1007%2Fs00138-014-0596-3
• [C11]An evolutionary multi-objective approach for prototype generation
  Conferencia · Proceedings of the 2014 IEEE Congress on Evolutionary Computation CEC 2014 · 2014 · pp. 1100-1107 · Citas: 7
  Rosales-Pérez A.; Escalante H.J.; Coello C.A.C.; Gonzalez J.A.; Reyes-Garcia C.A.
  DOIhttps://doi.org/10.1109%2FCEC.2014.6900338
• [C12]Towards simultaneous prototype and Feature Generation
  Conferencia · 2014 IEEE International Autumn Meeting on Power Electronics and Computing Ropec 2014 · 2014
  Limon M.; Escalante H.; Morales E.
  DOIhttps://doi.org/10.1109%2FROPEC.2014.7036346
• [A5]An adaptive random search for unconstrained global optimization
  Artículo · Computacion Y Sistemas · 2014 · Vol. 18 · Núm. 2 · pp. 243-257 · Citas: 2
  Velasco J.; Saucedo-Espinosa M.A.; Escalante H.J.; Mendoza K.; Villarreal-Rodríguez C.E.; Chacón-Mondragón O.L.; Berrones A.
  DOIhttps://doi.org/10.13053%2FCyS-18-2-2014-030
• [A6]CSMMI: Class-specific maximization of mutual information for action and gesture recognition
  Artículo · IEEE Transactions on Image Processing · 2014 · Vol. 23 · Núm. 7 · pp. 3152-3165 · Citas: 24
  Wan J.; Athitsos V.; Jangyodsuk P.; Escalante H.J.; Ruan Q.; Guyon I.
  DOIhttps://doi.org/10.1109%2FTIP.2014.2328181
• [C13]Enhanced fuzzy-relational neural network with alternative relational products
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2014 · Vol. 8827 · pp. 666-673
  Mendoza-Castañeda E.; Reyes-García C.A.; Escalante H.J.; Moreno W.; Rosales-Pérez A.
  DOIhttps://doi.org/10.1007%2F978-3-319-12568-8_81
• [C14]Evolutionary multi-objective approach for prototype generation and feature selection
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2014 · Vol. 8827 · pp. 424-431 · Citas: 9
  Rosales-Pérez A.; Gonzalez J.A.; Coello-Coello C.A.; Reyes-Garcia C.A.; Escalante H.J.
  DOIhttps://doi.org/10.1007%2F978-3-319-12568-8_52
• [C15]Learning to assemble classifiers via genetic programming
  Conferencia · International Journal of Pattern Recognition and Artificial Intelligence · 2014 · Vol. 28 · Núm. 7 · Citas: 14
  Acosta-Mendoza N.; Morales-Reyes A.; Escalante H.J.; Gago-Alonso A.
  DOIhttps://doi.org/10.1142%2FS0218001414600052
• [C16]Simultaneous generation of prototypes and features through genetic programming
  Conferencia · Gecco 2014 Proceedings of the 2014 Genetic and Evolutionary Computation Conference · 2014 · pp. 517-524 · Citas: 15
  García-Limón M.; Escalante H.J.; Morales E.; Morales-Reyes A.
  DOIhttps://doi.org/10.1145%2F2576768.2598356
• [C17]Adaptive-surrogate based on a neuro-fuzzy network and granular computing
  Conferencia · Gecco 2014 Proceedings of the 2014 Genetic and Evolutionary Computation Conference · 2014 · pp. 761-768 · Citas: 11
  Cruz-Vega I.; Garcia M.; Escalante H.J.
  DOIhttps://doi.org/10.1145%2F2576768.2598376

2013

• [C18]Bias and variance optimization for SVMs model selection
  Conferencia · Flairs 2013 Proceedings of the 26th International Florida Artificial Intelligence Research Society Conference · 2013 · pp. 136-141 · Citas: 10
  Rosales-Pérez A.; Escalante H.J.; Gonzalez J.A.; Reyes-Garcia C.A.
• [C19]ChaLearn multi-modal gesture recognition 2013: Grand challenge and workshop summary
  Conferencia · Icmi 2013 Proceedings of the 2013 ACM International Conference on Multimodal Interaction · 2013 · pp. 365-370 · Citas: 48
  Escalera S.; Gonzàlez J.; Baró X.; Reyes M.; Guyon I.; Athitsos V.; Escalante H.; Sigal L.; Argyros A.; Sminchisescu C.; Bowden R.; Sclaroff S.
  DOIhttps://doi.org/10.1145%2F2522848.2532597
• [C20]Multi-modal gesture recognition challenge 2013: Dataset and results
  Conferencia · Icmi 2013 Proceedings of the 2013 ACM International Conference on Multimodal Interaction · 2013 · pp. 445-452 · Citas: 168
  Escalera S.; Gonzàlez J.; Baró X.; Reyes M.; Lopes O.; Guyon I.; Athitsos V.; Escalante H.
  DOIhttps://doi.org/10.1145%2F2522848.2532595
• [C21]Genetic programming of heterogeneous ensembles for classification
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2013 · Vol. 8258 LNCS · Núm. PART 1 · pp. 9-16 · Citas: 3
  Escalante H.; Acosta-Mendoza N.; Morales-Reyes A.; Gago-Alonso A.
  DOIhttps://doi.org/10.1007%2F978-3-642-41822-8_2
• [C22]A one-shot DTW-based method for early gesture recognition
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2013 · Vol. 8259 LNCS · Núm. PART 2 · pp. 439-446 · Citas: 6
  Sabinas Y.; Morales E.; Escalante H.
  DOIhttps://doi.org/10.1007%2F978-3-642-41827-3_55
• [C23]Results and analysis of the ChaLearn gesture challenge 2012
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2013 · Vol. 7854 LNCS · pp. 186-204 · Citas: 42
  Guyon I.; Athitsos V.; Jangyodsuk P.; Escalante H.J.; Hamner B.
  DOIhttps://doi.org/10.1007%2F978-3-642-40303-3_19
• [C24]Bias and variance multi-objective optimization for support vector machines model selection
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2013 · Vol. 7887 LNCS · pp. 108-116 · Citas: 9
  Rosales-Pérez A.; Escalante H.J.; Gonzalez J.A.; Reyes-Garcia C.A.; Coello Coello C.A.
  DOIhttps://doi.org/10.1007%2F978-3-642-38628-2_12
• [C25]A hybrid surrogate-based approach for evolutionary multi-objective optimization
  Conferencia · 2013 IEEE Congress on Evolutionary Computation CEC 2013 · 2013 · pp. 2548-2555 · Citas: 41
  Rosales-Perez A.; Coello C.; Gonzalez J.; Reyes-Garcia C.; Escalante H.
  DOIhttps://doi.org/10.1109%2FCEC.2013.6557876
• [C26]Automatic classification of web databases using domain-dictionaries
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2013 · Vol. 7988 LNAI · pp. 340-351 · Citas: 1
  Marin-Castro H.; Sosa-Sosa V.; Lopez-Arevalo I.; Escalante-Baldera H.
  DOIhttps://doi.org/10.1007%2F978-3-642-39712-7_26
• [A7]Sow-activity classification from acceleration patterns: A machine learning approach
  Artículo · Computers and Electronics in Agriculture · 2013 · Vol. 93 · pp. 17-26 · Citas: 57
  Escalante H.J.; Rodriguez S.V.; Cordero J.; Kristensen A.R.; Cornou C.
  DOIhttps://doi.org/10.1016%2Fj.compag.2013.01.003
• [C27]Simultaneous segmentation and recognition of hand gestures for human-robot interaction
  Conferencia · 2013 16th International Conference on Advanced Robotics Icar 2013 · 2013 · Citas: 5
  Chavarria H.V.; Escalante H.J.; Sucar L.E.
  DOIhttps://doi.org/10.1109%2FICAR.2013.6766511
• [C28]Simultaneous segmentation and recognition of gestures for human-machine interaction
  Conferencia · Ceur Workshop Proceedings · 2013 · Vol. 1088 · pp. 29-33 · Citas: 1
  Vasquez H.; Sucar L.E.; Escalante H.J.
• [C29]TIA-INAOE's approach for the 2013 retrieving diverse social images task
  Conferencia · Ceur Workshop Proceedings · 2013 · Vol. 1043 · Citas: 2
  Escalante H.; Morales-Reyes A.

2012

• [C30]ChaLearn gesture challenge: Design and first results
  Conferencia · IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · 2012 · pp. 1-6 · Citas: 74
  Guyon I.; Athitsos V.; Jangyodsuk P.; Hamner B.; Escalante H.
  DOIhttps://doi.org/10.1109%2FCVPRW.2012.6239178

2011

• [A8]A milp bi-objective model for static portfolio selection of R&D projects with synergies
  Artículo · Journal of Computer and Systems Sciences International · 2011 · Vol. 50 · Núm. 6 · pp. 942-952 · Citas: 18
  Litvinchev I.; López F.; Escalante H.J.; Mata M.
  DOIhttps://doi.org/10.1134%2FS1064230711060165
• [C31]Interactive construction of visual concepts for image annotation and retrieval
  Conferencia · Ceur Workshop Proceedings · 2011 · Vol. 719 · pp. 47-57
  Escalante H.J.; Gonzalez-Pliego J.A.; Peralta-Gonzaga R.
• [C32]Simplified quadtree image segmentation for image annotation
  Conferencia · Ceur Workshop Proceedings · 2011 · Vol. 719 · pp. 24-34 · Citas: 4
  Conde Márquez G.; Escalante H.; Sucar L.
• [A9]A comparative study of object-level spatial context techniques for semantic image analysis
  Artículo · Computer Vision and Image Understanding · 2011 · Vol. 115 · Núm. 9 · pp. 1288-1307 · Citas: 21
  Papadopoulos G.T.; Saathoff C.; Escalante H.J.; Mezaris V.; Kompatsiaris I.; Strintzis M.G.
  DOIhttps://doi.org/10.1016%2Fj.cviu.2011.05.005
• [C33]EPSMS and the document occurrence representation for authorship identification? Notebook for PAN at CLEF 2011
  Conferencia · Ceur Workshop Proceedings · 2011 · Vol. 1177
  Escalante H.

2008

• [C34]Overview of the ImageCLEF 2007 object retrieval task
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2008 · Vol. 5152 LNCS · pp. 445-471 · Citas: 4
  Deselaers T.; Hanbury A.; Viitaniemi V.; Benczúr A.; Brendel M.; Daróczy B.; Escalante Balderas H.J.; Gevers T.; Hernández Gracidas C.A.; Hoi S.C.H.; Laaksonen J.; Li M.; Marín Castro H.M.; Ney H.; Rui X.; Sebe N.; Stöttinger J.; Wu L.
  DOIhttps://doi.org/10.1007%2F978-3-540-85760-0_58

2007

• [C35]Overview of the ImageCLEF 2007 object retrieval task
  Conferencia · Ceur Workshop Proceedings · 2007 · Vol. 1173 · Citas: 5
  Deselaers T.; Hanbury A.; Viitaniemi V.; Benczúr A.; Brendel M.; Daróczy B.; Escalante Balderas H.J.; Gevers T.; Hernández Gracidas C.A.; Hoi S.C.H.; Laaksonen J.; Li M.; Marin Castro H.M.; Ney H.; Rui X.; Sebe N.; Stöttinger J.; Wu L.

2006

• [C36]Cleaning training-datasets with noise-aware algorithms
  Conferencia · Proceedings of the Mexican International Conference on Computer Science · 2006 · pp. 151-158 · Citas: 1
  Escalante H.J.
  DOIhttps://doi.org/10.1109%2FENC.2006.7
• [C37]Analysis of galactic spectra using noise-aware learning algorithms
  Conferencia · Flairs 2006 Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference · 2006 · Vol. 2006 · pp. 550-555 · Citas: 2
  Escalante H.J.; Fuentes O.