Hugo Jair Escalante Balderas

2019

• [A1]Chained ensemble classifier for image annotation
  Artículo · Multimedia Tools and Applications · 2019 · Vol. 78 · Núm. 18 · pp. 26263-26285 · Citas: 2
  Marin-Castro H.M.; Hernandez-Resendiz J.D.; Escalante-Balderas H.J.; Pellegrin L.; Tello-Leal E.
  DOIhttps://doi.org/10.1007%2Fs11042-019-07815-7
• [A2]Evolving autoencoding structures through genetic programming
  Artículo · Genetic Programming and Evolvable Machines · 2019 · Vol. 20 · Núm. 3 · pp. 413-440 · Citas: 14
  Rodriguez-Coayahuitl L.; Morales-Reyes A.; Escalante H.J.
  DOIhttps://doi.org/10.1007%2Fs10710-019-09354-4
• [A3]Split and merge watershed: A two-step method for cell segmentation in fluorescence microscopy images
  Artículo · Biomedical Signal Processing and Control · 2019 · Vol. 53 · Citas: 85
  Gamarra M.; Zurek E.; Escalante H.J.; Hurtado L.; San-Juan-Vergara H.
  DOIhttps://doi.org/10.1016%2Fj.bspc.2019.101575
• [E1]Guest editorial: special issue on human abnormal behavioural analysis
  Editorial · Machine Vision and Applications · 2019 · Vol. 30 · Núm. 5 · pp. 807-811
  Anbarjafari G.; Escalera S.; Nasrollahi K.; Escalante H.J.; Baro X.; Wan J.; Moeslund T.B.
  DOIhttps://doi.org/10.1007%2Fs00138-019-01031-x
• [C1]Multi-modal face anti-spoofing attack detection challenge at CVPR2019
  Conferencia · IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · 2019 · Vol. 2019-June · pp. 1601-1610 · Citas: 68
  Liu A.; Wan J.; Escalera S.; Escalante H.J.; Tan Z.; Yuan Q.; Wang K.; Lin C.; Guo G.; Guyon I.; Li S.Z.
  DOIhttps://doi.org/10.1109%2FCVPRW.2019.00202
• [C2]High-level features for multimodal deception detection in videos
  Conferencia · IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · 2019 · Vol. 2019-June · pp. 1565-1573 · Citas: 30
  Rill-Garcia R.; Escalante H.J.; Villasenor-Pineda L.; Reyes-Meza V.
  DOIhttps://doi.org/10.1109%2FCVPRW.2019.00198
• [A4]Scalable multi-label annotation via semi-supervised kernel semantic embedding
  Artículo · Pattern Recognition Letters · 2019 · Vol. 123 · pp. 97-103 · Citas: 6
  Vanegas J.A.; Escalante H.J.; González F.A.
  DOIhttps://doi.org/10.1016%2Fj.patrec.2018.10.001
• [A5]Barley yield and fertilization analysis from UAV imagery: a deep learning approach
  Artículo · International Journal of Remote Sensing · 2019 · Vol. 40 · Núm. 7 · pp. 2493-2516 · Citas: 54
  Escalante H.J.; Rodríguez-Sánchez S.; Jiménez-Lizárraga M.; Morales-Reyes A.; De La Calleja J.; Vazquez R.
  DOIhttps://doi.org/10.1080%2F01431161.2019.1577571
• [O1]Notice of Removal: Automatic Cell Image Segmentation Using Genetic Algorithms
  tb · 2019 22nd Symposium on Image Signal Processing and Artificial Vision Stsiva 2019 Conference Proceedings · 2019 · Citas: 3
  Gamarra M.; Mitre-Ortiz A.; Escalante H.
  DOIhttps://doi.org/10.1109%2FSTSIVA.2019.8730256
• [C3]Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contest
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2019 · Vol. 11188 LNCS · pp. 127-139 · Citas: 2
  Ramírez G.; Villatoro E.; Ionescu B.; Escalante H.J.; Escalera S.; Larson M.; Müller H.; Guyon I.
  DOIhttps://doi.org/10.1007%2F978-3-030-05792-3_12
• [C4]Recognition of Apparent Personality Traits from Text and Handwritten Images
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2019 · Vol. 11188 LNCS · pp. 146-152 · Citas: 3
  Costa E.; Villaseñor-Pienda L.; Morales E.; Escalante H.
  DOIhttps://doi.org/10.1007%2F978-3-030-05792-3_14
• [C5]From Text to Speech: A Multimodal Cross-Domain Approach for Deception Detection
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2019 · Vol. 11188 LNCS · pp. 164-177 · Citas: 3
  Rill-García R.; Villaseñor-Pineda L.; Reyes-Meza V.; Escalante H.J.
  DOIhttps://doi.org/10.1007%2F978-3-030-05792-3_16
• [C6]Convolutional Genetic Programming
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2019 · Vol. 11524 LNCS · pp. 47-57 · Citas: 5
  Rodriguez-Coayahuitl L.; Morales-Reyes A.; Escalante H.J.
  DOIhttps://doi.org/10.1007%2F978-3-030-21077-9_5
• [C7]Meta-learning of Text Classification Tasks
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2019 · Vol. 11896 LNCS · pp. 107-119 · Citas: 6
  Madrid J.G.; Escalante H.J.
  DOIhttps://doi.org/10.1007%2F978-3-030-33904-3_10
• [E2]NeurIPS 2019 Competition and Demonstration Track Revised selected papers
  Editorial · Proceedings of Machine Learning Research · 2019 · Vol. 123 · pp. 1-12 · Citas: 1
  Escalante H.J.; Hadsell R.

2018

• [O2]Guest Editorial: The Computational Face
  re · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2018 · Vol. 40 · Núm. 11 · pp. 2541-2545 · Citas: 6
  Escalera S.; Baro X.; Guyon I.; Escalante H.J.; Tzimiropoulos G.; Valstar M.; Pantic M.; Cohn J.; Kanade T.
  DOIhttps://doi.org/10.1109%2FTPAMI.2018.2869610
• [A6]Multimodal First Impression Analysis with Deep Residual Networks
  Artículo · IEEE Transactions on Affective Computing · 2018 · Vol. 9 · Núm. 3 · pp. 316-329 · Citas: 58
  Güçlütürk Y.; Güçlü U.; Baró X.; Escalante H.J.; Guyon I.; Escalera S.; Van Gerven M.A.J.; Van Lier R.
  DOIhttps://doi.org/10.1109%2FTAFFC.2017.2751469
• [O3]Guest Editorial: Apparent Personality Analysis
  re · IEEE Transactions on Affective Computing · 2018 · Vol. 9 · Núm. 3 · pp. 299-302 · Citas: 7
  Escalera S.; Baró X.; Guyon I.; Escalante H.J.
  DOIhttps://doi.org/10.1109%2FTAFFC.2018.2864230
• [E3]Looking at People Special Issue
  Editorial · International Journal of Computer Vision · 2018 · Vol. 126 · Núm. 2-4 · pp. 141-143 · Citas: 2
  Escalera S.; Gonzàlez J.; Escalante H.; Baró X.; Guyon I.
  DOIhttps://doi.org/10.1007%2Fs11263-017-1058-y
• [A7]Surrogate modeling based on granular models and fuzzy aptitude functions
  Artículo · Applied Soft Computing Journal · 2018 · Vol. 65 · pp. 21-32 · Citas: 1
  Cruz-Vega I.; Garcia C.R.; Escalante H.J.; Rangel-Magdaleno J.d.J.; Ramirez Cortes J.M.
  DOIhttps://doi.org/10.1016%2Fj.asoc.2017.12.016
• [C8]Automated Detection of Hummingbirds in Images: A Deep Learning Approach
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2018 · Vol. 10880 LNCS · pp. 155-166 · Citas: 2
  Serrano S.A.; Benítez-Jimenez R.; Nuñez-Rosas L.; del Coro Arizmendi M.; Greeney H.; Reyes-Meza V.; Morales E.; Escalante H.J.
  DOIhttps://doi.org/10.1007%2F978-3-319-92198-3_16
• [C9]Full model selection in big data
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2018 · Vol. 10632 LNAI · pp. 279-289 · Citas: 2
  Díaz-Pacheco A.; Gonzalez-Bernal J.A.; Reyes-García C.A.; Escalante-Balderas H.J.
  DOIhttps://doi.org/10.1007%2F978-3-030-02837-4_23
• [C10]Structurally layered representation learning: Towards deep learning through genetic programming
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2018 · Vol. 10781 LNCS · pp. 271-288 · Citas: 16
  Rodriguez-Coayahuitl L.; Morales-Reyes A.; Escalante H.J.
  DOIhttps://doi.org/10.1007%2F978-3-319-77553-1_17
• [C11]Bayesian chain classifier with feature selection for multi-label classification
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2018 · Vol. 11288 LNAI · pp. 232-243 · Citas: 4
  Jiménez R.B.; Morales E.F.; Escalante H.J.
  DOIhttps://doi.org/10.1007%2F978-3-030-04491-6_18
• [C12]Semi-supervised online kernel semantic embedding for multi-label annotation
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2018 · Vol. 10657 LNCS · pp. 693-701 · Citas: 4
  Vanegas J.A.; Escalante H.J.; González F.A.
  DOIhttps://doi.org/10.1007%2F978-3-319-75193-1_83

2017

• [A8]Learning Roadway Surface Disruption Patterns Using the Bag of Words Representation
  Artículo · IEEE Transactions on Intelligent Transportation Systems · 2017 · Vol. 18 · Núm. 11 · pp. 2916-2928 · Citas: 45
  Gonzalez L.C.; Moreno R.; Escalante H.J.; Martinez F.; Carlos M.R.
  DOIhttps://doi.org/10.1109%2FTITS.2017.2662483
• [C13]Visualizing apparent personality analysis with deep residual networks
  Conferencia · Proceedings 2017 IEEE International Conference on Computer Vision Workshops Iccvw 2017 · 2017 · Vol. 2018-January · pp. 3101-3109 · Citas: 20
  Güçlütürk Y.; Güçlü U.; Pérez M.; Escalante H.J.; Baró X.; Guyon I.; Andujar C.; Jacques J.; Madadi M.; Escalera S.; Van Gerven M.A.J.; Van Lier R.
  DOIhttps://doi.org/10.1109%2FICCVW.2017.367
• [C14]Results and Analysis of ChaLearn LAP Multi-modal Isolated and Continuous Gesture Recognition, and Real Versus Fake Expressed Emotions Challenges
  Conferencia · Proceedings 2017 IEEE International Conference on Computer Vision Workshops Iccvw 2017 · 2017 · Vol. 2018-January · pp. 3189-3197 · Citas: 62
  Wan J.; Escalera S.; Anbarjafari G.; Escalante H.J.; Baro X.; Guyon I.; Madadi M.; Allik J.; Gorbova J.; Lin C.; Xie Y.
  DOIhttps://doi.org/10.1109%2FICCVW.2017.377
• [C15]Overview of the 2017 RedICA text-image matching (RICATIM) challenge
  Conferencia · 2017 IEEE International Autumn Meeting on Power Electronics and Computing Ropec 2017 · 2017 · Vol. 2018-January · pp. 1-6 · Citas: 1
  Pellegrin L.; Escalante H.J.; Morales A.; Morales E.F.; Reyes-García C.A.
  DOIhttps://doi.org/10.1109%2FROPEC.2017.8261693
• [A9]An online and incremental GRLVQ algorithm for prototype generation based on granular computing
  Artículo · Soft Computing · 2017 · Vol. 21 · Núm. 14 · pp. 3931-3944 · Citas: 10
  Cruz-Vega I.; Escalante H.J.
  DOIhttps://doi.org/10.1007%2Fs00500-016-2042-0
• [C16]Design of an explainable machine learning challenge for video interviews
  Conferencia · Proceedings of the International Joint Conference on Neural Networks · 2017 · Vol. 2017-May · pp. 3688-3695 · Citas: 62
  Escalante H.J.; Guyon I.; Escalera S.; Jacques J.; Madadi M.; Baro X.; Ayache S.; Viegas E.; Gucluturk Y.; Guclu U.; Van Gerven M.A.J.; Van Lier R.
  DOIhttps://doi.org/10.1109%2FIJCNN.2017.7966320
• [C17]ChaLearn looking at people: A review of events and resources
  Conferencia · Proceedings of the International Joint Conference on Neural Networks · 2017 · Vol. 2017-May · pp. 1594-1601 · Citas: 28
  Escalera S.; Baro X.; Escalante H.J.; Guyon I.
  DOIhttps://doi.org/10.1109%2FIJCNN.2017.7966041
• [C18]A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences
  Conferencia · Proceedings 12th IEEE International Conference on Automatic Face and Gesture Recognition Fg 2017 1st International Workshop on Adaptive Shot Learning for Gesture Understanding and Production Asl4gup 2017 Biometrics in the Wild Bwild 2017 Heterogeneous Face Recognition Hfr 2017 Joint Challenge on Dominant and Complementary Emotion Recognition Using Micro Emotion Features and Head Pose Estimation Dcer and Hpe 2017 and 3rd Facial Expression Recognition and Analysis Challenge Fera 2017 · 2017 · pp. 476-483 · Citas: 168
  Asadi-Aghbolaghi M.; Clapes A.; Bellantonio M.; Escalante H.J.; Ponce-Lopez V.; Baro X.; Guyon I.; Kasaei S.; Escalera S.
  DOIhttps://doi.org/10.1109%2FFG.2017.150
• [A10]Evolving weighting schemes for the Bag of Visual Words
  Artículo · Neural Computing and Applications · 2017 · Vol. 28 · Núm. 5 · pp. 925-939 · Citas: 8
  Escalante H.J.; Ponce-López V.; Escalera S.; Baró X.; Morales-Reyes A.; Martínez-Carranza J.
  DOIhttps://doi.org/10.1007%2Fs00521-016-2223-x
• [A11]Analysis of facial expressions in parkinson's disease through video-based automatic methods
  Artículo · Journal of Neuroscience Methods · 2017 · Vol. 281 · pp. 7-20 · Citas: 114
  Bandini A.; Orlandi S.; Escalante H.J.; Giovannelli F.; Cincotta M.; Reyes-Garcia C.A.; Vanni P.; Zaccara G.; Manfredi C.
  DOIhttps://doi.org/10.1016%2Fj.jneumeth.2017.02.006
• [A12]Principal motion components for one-shot gesture recognition
  Artículo · Pattern Analysis and Applications · 2017 · Vol. 20 · Núm. 1 · pp. 167-182 · Citas: 24
  Escalante H.J.; Guyon I.; Athitsos V.; Jangyodsuk P.; Wan J.
  DOIhttps://doi.org/10.1007%2Fs10044-015-0481-3
• [A13]Detection of defective embedded bearings by sound analysis: a machine learning approach
  Artículo · Journal of Intelligent Manufacturing · 2017 · Vol. 28 · Núm. 2 · pp. 489-500 · Citas: 14
  Saucedo-Espinosa M.A.; Escalante H.J.; Berrones A.
  DOIhttps://doi.org/10.1007%2Fs10845-014-1000-x
• [C19]Multi-objective Full Model Selection in temporal databases: Optimizing time and performance
  Conferencia · 2016 IEEE International Autumn Meeting on Power Electronics and Computing Ropec 2016 · 2017 · Citas: 2
  Pérez-Castro N.; Acosta-Mesa H.G.; Mezura-Montes E.; Escalante H.J.
  DOIhttps://doi.org/10.1109%2FROPEC.2016.7830617
• [A14]A parallel approach for the training stage of the Viola-Jones face detection algorithm
  Artículo · Intelligent Data Analysis · 2017 · Vol. 21 · Núm. 5 · pp. 1097-1115 · Citas: 2
  Olmedo E.; De La Calleja J.; Morales-Reyes A.; Escalante H.J.; Najera A.B.U.; Medina M.A.; Ruiz A.B.
  DOIhttps://doi.org/10.3233%2FIDA-163114
• [C20]Full model selection in huge datasets under the mapreduce paradigm
  Conferencia · Proceedings of the International Conferences on Computer Graphics Visualization Computer Vision and Image Processing 2017 and Big Data Analytics Data Mining and Computational Intelligence 2017 Part of the Multi Conference on Computer Science and Information Systems 2017 · 2017 · pp. 239-246
  Díaz-Pacheco A.; Gonzalez-Bernal J.A.; Reyes-García C.A.; Escalante-Balderas H.J.
• [C21]Towards a generic ontology for video surveillance
  Conferencia · Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst · 2017 · Vol. 179 LNICST · pp. 3-7 · Citas: 8
  Hernandez-Leal P.; Escalante H.; Sucar L.
  DOIhttps://doi.org/10.1007%2F978-3-319-49622-1_1

2016

• [C22]ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016
  Conferencia · IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · 2016 · pp. 706-713 · Citas: 92
  Escalera S.; Torres M.T.; Martinez B.; Baro X.; Escalante H.J.; Guyon I.; Tzimiropoulos G.; Corneanu C.; Oliu M.; Bagheri M.A.; Valstar M.
  DOIhttps://doi.org/10.1109%2FCVPRW.2016.93
• [C23]EMOPG+FS: Evolutionary multi-objective prototype generation and feature selection
  Conferencia · Intelligent Data Analysis · 2016 · Vol. 20 · Núm. s1 · pp. S37-S51 · Citas: 4
  Rosales-Pérez A.; Gonzalez J.A.; Coello C.A.C.; Reyes-Garcia C.A.; Escalante H.J.
  DOIhttps://doi.org/10.3233%2FIDA-160844
• [A15]Surrogate modeling based on an adaptive network and granular computing
  Artículo · Soft Computing · 2016 · Vol. 20 · Núm. 4 · pp. 1549-1563 · Citas: 7
  Cruz-Vega I.; Escalante H.J.; Reyes C.A.; Gonzalez J.A.; Rosales A.
  DOIhttps://doi.org/10.1007%2Fs00500-015-1605-9
• [A16]A naïve Bayes baseline for early gesture recognition
  Artículo · Pattern Recognition Letters · 2016 · Vol. 73 · pp. 91-99 · Citas: 30
  Escalante H.J.; Morales E.F.; Sucar L.E.
  DOIhttps://doi.org/10.1016%2Fj.patrec.2016.01.013
• [C24]ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results
  Conferencia · Proceedings of the IEEE International Conference on Computer Vision · 2016 · Vol. 2015-February · pp. 243-251 · Citas: 60
  Escalera S.; Fabian J.; Pardo P.; Baro X.; Gonzalez J.; Escalante H.J.; Misevic D.; Steiner U.; Guyon I.
  DOIhttps://doi.org/10.1109%2FICCVW.2015.40
• [A17]GRASP with path relinking for commercial districting
  Artículo · Expert Systems with Applications · 2016 · Vol. 44 · pp. 102-113 · Citas: 29
  Ríos-Mercado R.; Escalante H.
  DOIhttps://doi.org/10.1016%2Fj.eswa.2015.09.019
• [C25]Class-specific feature generation for 1NN through genetic programming
  Conferencia · 2015 IEEE International Autumn Meeting on Power Electronics and Computing Ropec 2015 · 2016 · Citas: 3
  Limón M.; Escalante H.; Morales E.; Pineda L.
  DOIhttps://doi.org/10.1109%2FROPEC.2015.7395158
• [C26]ChaLearn Joint Contest on Multimedia Challenges beyond Visual Analysis: An overview
  Conferencia · Proceedings International Conference on Pattern Recognition · 2016 · pp. 67-73 · Citas: 79
  Escalante H.J.; Ponce-López V.; Wan J.; Riegler M.A.; Chen B.; Clapés A.; Escalera S.; Guyon I.; Baró X.; Halvorsen P.; Müller H.; Larson M.
  DOIhttps://doi.org/10.1109%2FICPR.2016.7899609
• [C27]Chalearn LAP 2016: First round challenge on first impressions - Dataset and results
  Conferencia · Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · 2016 · Vol. 9915 LNCS · pp. 400-418 · Citas: 155
  Ponce-López V.; Chen B.; Oliu M.; Corneanu C.; Clapés A.; Guyon I.; Baró X.; Escalante H.J.; Escalera S.
  DOIhttps://doi.org/10.1007%2F978-3-319-49409-8_32