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ORCIDHugo Jair Escalante
Hugo Jair Escalante Balderas
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- affiliation: Facultad de Ingeniería Mecánica y Eléctrica, Universidad Autónoma de Nuevo León
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2020 – today
- 2024
[j81]Ran Cheng
, Hugo Jair Escalante, Wei-Wei Tu, Jan N. van Rijn, Shuo Wang, Yun Yang:
Guest Editorial: AutoML for Nonstationary Data. IEEE Trans. Artif. Intell. 5(6): 2456-2457 (2024)- [c122]Elaheh Baharlouei, Mahsa Shafaei, Yigeng Zhang, Hugo Jair Escalante, Thamar Solorio:
Labeling Comic Mischief Content in Online Videos with a Multimodal Hierarchical-Cross-Attention Model. LREC/COLING 2024: 9999-10013 - [c121]Cosijopii Garcia-Garcia, Alicia Morales-Reyes, Hugo Jair Escalante:
Progressive Self-supervised Multi-objective NAS for Image Classification. EvoApplications@EvoStar 2024: 180-195 - [c120]Arnold Morales, Elaheh Baharlouei, Thamar Solorio, Hugo Jair Escalante:
Multimodal-Attention Fusion for the Detection of Questionable Content in Videos. MCPR 2024: 188-199 - [i35]Hugo Jair Escalante Balderas, Isabelle Guyon, Addison Howard, Walter Reade, Sébastien Treguer:
Challenge design roadmap. CoRR abs/2401.13693 (2024) - [i34]Sergio Nava-Muñoz, Mario Graff, Hugo Jair Escalante:
Analysis of Systems' Performance in Natural Language Processing Competitions. CoRR abs/2403.04693 (2024) - [i33]Haocheng Yuan, Ajian Liu, Junze Zheng, Jun Wan, Jiankang Deng, Sergio Escalera, Hugo Jair Escalante, Isabelle Guyon, Zhen Lei:
Unified Physical-Digital Attack Detection Challenge. CoRR abs/2404.06211 (2024) - [i32]Elaheh Baharlouei, Mahsa Shafaei, Yigeng Zhang, Hugo Jair Escalante, Thamar Solorio:
Labeling Comic Mischief Content in Online Videos with a Multimodal Hierarchical-Cross-Attention Model. CoRR abs/2406.07841 (2024) - 2023
- [j80]Cosijopii Garcia-Garcia, Alicia Morales-Reyes, Hugo Jair Escalante:
Continuous Cartesian Genetic Programming based representation for multi-objective neural architecture search. Appl. Soft Comput. 147: 110788 (2023) - [j79]Alejandro Escalante-Hernandez, Luis Joaquín Arellano, José de Jesús Lavalle-Martínez, Luis Villaseñor Pineda, Hugo Jair Escalante:
Towards the Monitoring of Violent Events in Social Media through Visual Information. Computación y Sistemas (CyS) 27(1) (2023) - [j78]Sandra Eugenia Barajas Montiel, Eduardo F. Morales, Hugo Jair Escalante, Carlos Alberto Reyes García:
Automatic Selection of Multi-view Learning Techniques and Views for Pattern Recognition in Electroencephalogram Signals. Computación y Sistemas (CyS) 27(1) (2023) - [j77]Karla María Valencia-Segura, Hugo Jair Escalante, Luis Villaseñor Pineda:
Automatic Depression Detection in Social Networks Using Multiple User Characterizations. Computación y Sistemas (CyS) 27(1) (2023) - [j76]Adrien Pavao, Isabelle Guyon, Anne-Catherine Letournel, Dinh-Tuan Tran, Xavier Baró, Hugo Jair Escalante, Sergio Escalera, Tyler Thomas, Zhen Xu:
CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges. J. Mach. Learn. Res. 24: 198:1-198:6 (2023) - [j75]Jesús García-Ramírez, Eduardo F. Morales, Hugo Jair Escalante:
Source tasks selection for transfer deep reinforcement learning: a case of study on Atari games. Neural Comput. Appl. 35(25): 18099-18111 (2023) - [j74]Fernanda Hernández-Luquin, Hugo Jair Escalante:
Multi-branch deep radial basis function networks for facial emotion recognition. Neural Comput. Appl. 35(25): 18131-18145 (2023) - [j73]Mauricio Gonzalez-Soto, Ivan Feliciano-Avelino, Luis Enrique Sucar, Hugo Jair Escalante:
Learning a causal structure: a Bayesian random graph approach. Neural Comput. Appl. 35(25): 18147-18159 (2023) - [j72]Horacio Jesús Jarquín-Vásquez, Delia Irazú Hernández Farías, Luis Joaquín Arellano, Hugo Jair Escalante, Luis Villaseñor Pineda, Manuel Montes-y-Gómez, Fernando Sánchez-Vega:
Overview of DA-VINCIS at IberLEF 2023: Detection of Aggressive and Violent Incidents from Social Media in Spanish. Proces. del Leng. Natural 71: 351-360 (2023) - [c119]Hao Fang, Ajian Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zhen Lei:
Surveillance Face Presentation Attack Detection Challenge. CVPR Workshops 2023: 6361-6371 - [c118]Dong Wang, Jia Guo, Qiqi Shao, Haochi He, Zhian Chen, Chuanbao Xiao, Ajian Liu, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Jun Wan, Jiankang Deng:
Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results. CVPR Workshops 2023: 6380-6391 - [c117]Sergio Nava-Muñoz, Mario Graff-Guerrero, Hugo Jair Escalante:
Comparison of Classifiers in Challenge Scheme. MCPR 2023: 89-98 - [c116]Horacio Jesús Jarquín-Vásquez, Hugo Jair Escalante, Manuel Montes-y-Gómez:
Improving the Identification of Abusive Language Through Careful Design of Pre-training Tasks. MCPR 2023: 283-292 - [e14]Manuel Montes-y-Gómez, Francisco Rangel, Salud María Jiménez-Zafra, Marco Casavantes, Begoña Altuna, Miguel Ángel Álvarez-Carmona, Gemma Bel-Enguix, Luis Chiruzzo, Iker de la Iglesia, Hugo Jair Escalante, Miguel Ángel García Cumbreras, José Antonio García-Díaz, José Ángel González Barba, Roberto Labadie Tamayo, Salvador Lima, Pablo Moral, Flor Miriam Plaza del Arco, Rafael Valencia-García:
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), Jaén, Spain, September 26, 2023. CEUR Workshop Proceedings 3496, CEUR-WS.org 2023 [contents] - [i31]Dong Wang, Jia Guo, Qiqi Shao, Haochi He, Zhian Chen, Chuanbao Xiao, Ajian Liu, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Jun Wan, Jiankang Deng:
Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results. CoRR abs/2304.05753 (2023) - [i30]Hao Fang, Ajian Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zhen Lei:
Surveillance Face Presentation Attack Detection Challenge. CoRR abs/2304.07580 (2023) - [i29]Sergio Nava-Muñoz, Mario Graff-Guerrero, Hugo Jair Escalante:
Comparison of classifiers in challenge scheme. CoRR abs/2305.10452 (2023) - [i28]Cosijopii Garcia-Garcia, Alicia Morales-Reyes, Hugo Jair Escalante:
Continuous Cartesian Genetic Programming based representation for Multi-Objective Neural Architecture Search. CoRR abs/2306.02648 (2023) - [i27]Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante:
TurboGP: A flexible and advanced python based GP library. CoRR abs/2309.00149 (2023) - [i26]Hugo Jair Escalante, Aleksandra Kruchinina:
Academic competitions. CoRR abs/2312.00268 (2023) - 2022
- [j71]Itzel Tlelo-Coyotecatl, Hugo Jair Escalante, Manuel Montes-y-Gómez:
Depression Recognition in Social Media based on Symptoms' Detection. Proces. del Leng. Natural 68: 25-37 (2022) - [j70]Luis Joaquín Arellano, Hugo Jair Escalante, Luis Villaseñor Pineda, Manuel Montes-y-Gómez, Fernando Sánchez-Vega:
Overview of DA-VINCIS at IberLEF 2022: Detection of Aggressive and Violent Incidents from Social Media in Spanish. Proces. del Leng. Natural 69: 207-215 (2022) - [j69]Júlio C. S. Jacques Júnior, Yagmur Güçlütürk, Marc Pérez, Umut Güçlü, Carlos Andújar, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Marcel A. J. van Gerven, Rob van Lier, Sergio Escalera:
First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis. IEEE Trans. Affect. Comput. 13(1): 75-95 (2022) - [j68]Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah, Sergio Escalera, Yagmur Güçlütürk, Umut Güçlü, Xavier Baró, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Stéphane Ayache, Evelyne Viegas, Furkan Gürpinar, Achmadnoer Sukma Wicaksana, Cynthia C. S. Liem, Marcel A. J. van Gerven, Rob van Lier:
Modeling, Recognizing, and Explaining Apparent Personality From Videos. IEEE Trans. Affect. Comput. 13(2): 894-911 (2022) - [c115]Fernanda Hernández-Luquin, Hugo Jair Escalante, Benjamín Gutiérrez-Serafín, Humberto Pérez Espinosa, Luis Villaseñor Pineda, Verónica Reyes-Meza:
Dog emotion recognition from images in the wild: DEBIw dataset and first results. ACI 2022: 5:1-5:13 - [c114]Edwin Raúl Abrego-Ulloa, Carlos Alberto Aguilar-Lazcano, Humberto Pérez Espinosa, Liliana Rodríguez-Vizzuett, María Fernanda Hernández-Luquin, Ismael Edrein Espinosa-Curiel, Hugo Jair Escalante:
Towards a monitoring and emergency alarm system activated by the barking of assistant dogs. ACI 2022: 17:1-17:10 - [c113]Cosijopii Garcia-Garcia, Hugo Jair Escalante, Alicia Morales-Reyes:
CGP-NAS: real-based solutions encoding for multi-objective evolutionary neural architecture search. GECCO Companion 2022: 643-646 - [c112]Jesús García-Ramírez, Eduardo F. Morales, Hugo Jair Escalante:
Model Compression for Deep Reinforcement Learning Through Mutual Information. IBERAMIA 2022: 196-207 - [c111]Víctor Manuel Bátiz Beltrán, Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Héctor Manuel Cárdenas-López, Hugo Jair Escalante:
A multiplatform application for automatic recognition of personality traits for Learning Environments. ICALT 2022: 49-50 - [c110]Miguel A. Palacios-Alonso, Hugo Jair Escalante, Luis Enrique Sucar:
Detecting and Identifying Global Visual Novelties in Driving Scenarios. IV 2022: 1649-1654 - [c109]Sandra Eugenia Barajas Montiel, Eduardo F. Morales, Hugo Jair Escalante:
Multi-view Learning for EEG Signal Classification of Imagined Speech. MCPR 2022: 191-200 - [c108]Karla María Valencia-Segura, Hugo Jair Escalante, Luis Villaseñor Pineda:
Leveraging Multiple Characterizations of Social Media Users for Depression Detection Using Data Fusion. MCPR 2022: 215-224 - [e13]Manuel Montes-y-Gómez, Julio Gonzalo, Francisco Rangel, Marco Casavantes, Miguel Ángel Álvare Carmona, Gemma Bel-Enguix, Hugo Jair Escalante, Larissa A. de Freitas, Antonio Miranda-Escalada, Francisco J. Rodríguez-Sanchez, Aiala Rosá, Marco Antonio Sobrevilla Cabezudo, Mariona Taulé, Rafael Valencia-García:
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), A Coruña, Spain, September 20, 2022. CEUR Workshop Proceedings 3202, CEUR-WS.org 2022 [contents] - 2021
- [j67]Manuel Vargas-Felipe, Luis Pellegrin, Aldo A. Guevara-Carrizales, Adrián Pastor López-Monroy, Hugo Jair Escalante, José Ángel González-Fraga:
Desert bighorn sheep (Ovis canadensis) recognition from camera traps based on learned features. Ecol. Informatics 64: 101328 (2021) - [j66]Ajian Liu, Xuan Li, Jun Wan, Yanyan Liang, Sergio Escalera, Hugo Jair Escalante, Meysam Madadi, Yi Jin, Zhuoyuan Wu, Xiaogang Yu, Zichang Tan, Qi Yuan, Ruikun Yang, Benjia Zhou, Guodong Guo, Stan Z. Li:
Cross-ethnicity face anti-spoofing recognition challenge: A review. IET Biom. 10(1): 24-43 (2021) - [j65]Hugo Jair Escalante, Quanming Yao, Wei-Wei Tu, Nelishia Pillay, Rong Qu, Yang Yu, Neil Houlsby:
Guest Editorial: Automated Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2887-2890 (2021) - [j64]Flor Miriam Plaza del Arco, Marco Casavantes, Hugo Jair Escalante, María Teresa Martín Valdivia, Arturo Montejo-Ráez, Manuel Montes-y-Gómez, Horacio Jesús Jarquín-Vásquez, Luis Villaseñor Pineda:
Overview of MeOffendEs at IberLEF 2021: Offensive Language Detection in Spanish Variants. Proces. del Leng. Natural 67: 183-194 (2021) - [j63]Jun Wan, Sergio Escalera, Hugo Jair Escalante, Guodong Guo, Stan Z. Li:
Special Issue on Face Presentation Attack Detection. IEEE Trans. Biom. Behav. Identity Sci. 3(3): 282-284 (2021) - [c107]Horacio Jesús Jarquín-Vásquez, Hugo Jair Escalante, Manuel Montes-y-Gómez:
Self-Contextualized Attention for Abusive Language Identification. SocialNLP@NAACL 2021: 103-112 - [c106]Ajian Liu, Chenxu Zhao, Zitong Yu, Anyang Su, Xing Liu, Zijian Kong, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Guodong Guo:
3D High-Fidelity Mask Face Presentation Attack Detection Challenge. ICCVW 2021: 814-823 - [c105]Jesús García-Ramírez, Eduardo F. Morales, Hugo Jair Escalante:
Multi-source Transfer Learning for Deep Reinforcement Learning. MCPR 2021: 131-140 - [c104]Miguel A. Palacios-Alonso, Hugo Jair Escalante, Luis Enrique Sucar:
Perceptual and Pixel-Wise Information for Visual Novelty Detection. MCPR 2021: 251-260 - [c103]Jesús García-Ramírez, Eduardo F. Morales, Hugo Jair Escalante:
Source Task Selection in Time Series via Performance Prediction. MICAI (1) 2021: 121-130 - [p3]Hugo Jair Escalante:
Automated Machine Learning - A Brief Review at the End of the Early Years. Automated Design of Machine Learning and Search Algorithms 2021: 11-28 - [e12]Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani:
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12661, Springer 2021, ISBN 978-3-030-68762-5 [contents] - [e11]Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani:
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12662, Springer 2021, ISBN 978-3-030-68789-2 [contents] - [e10]Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani:
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12663, Springer 2021, ISBN 978-3-030-68795-3 [contents] - [e9]Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani:
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 12664, Springer 2021, ISBN 978-3-030-68798-4 [contents] - [e8]Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani:
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part V. Lecture Notes in Computer Science 12665, Springer 2021, ISBN 978-3-030-68820-2 [contents] - [e7]Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani:
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part VI. Lecture Notes in Computer Science 12666, Springer 2021, ISBN 978-3-030-68779-3 [contents] - [e6]Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani:
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part VII. Lecture Notes in Computer Science 12667, Springer 2021, ISBN 978-3-030-68786-1 [contents] - [e5]Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani:
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part VIII. Lecture Notes in Computer Science 12668, Springer 2021, ISBN 978-3-030-68792-2 [contents] - [e4]Hugo Jair Escalante, Katja Hofmann:
NeurIPS 2020 Competition and Demonstration Track, 6-12 December 2020, Virtual Event / Vancouver, BC, Canada. Proceedings of Machine Learning Research 133, PMLR 2021 [contents] - [i25]Sergio Escalera, Marti Soler, Stéphane Ayache, Umut Güçlü, Jun Wan, Meysam Madadi, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon:
ChaLearn Looking at People: Inpainting and Denoising challenges. CoRR abs/2106.13071 (2021) - [i24]Ajian Liu, Chenxu Zhao, Zitong Yu, Anyang Su, Xing Liu, Zijian Kong, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Guodong Guo:
3D High-Fidelity Mask Face Presentation Attack Detection Challenge. CoRR abs/2108.06968 (2021) - [i23]Fernanda Hernández-Luquin, Hugo Jair Escalante:
Multi-Branch Deep Radial Basis Function Networks for Facial Emotion Recognition. CoRR abs/2109.03336 (2021) - [i22]Mélina Verger, Hugo Jair Escalante:
Predicting students' performance in online courses using multiple data sources. CoRR abs/2109.07903 (2021) - 2020
- [b1]Jun Wan, Guodong Guo, Sergio Escalera, Hugo Jair Escalante, Stan Z. Li:
Multi-Modal Face Presentation Attack Detection. Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers 2020, ISBN 978-3-031-00696-8 - [j62]Sonia M. González-Lozoya, Jorge de la Calleja, Luis Pellegrin, Hugo Jair Escalante, Ma. Auxilio Medina, Antonio Benitez Ruiz:
Recognition of facial expressions based on CNN features. Multim. Tools Appl. 79(19-20): 13987-14007 (2020) - [j61]Sergio Escalera, Hugo Jair Escalante, Xavier Baró, Isabelle Guyon, Meysam Madadi, Jun Wan, Stéphane Ayache, Yagmur Güçlütürk, Umut Güçlü:
Guest Editorial: Image and Video Inpainting and Denoising. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1021-1024 (2020) - [j60]Juan Aguilera, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez, Roberto López-Santillán, Hugo Jair Escalante:
From neighbors to strengths - the k-strongest strengths (kSS) classification algorithm. Pattern Recognit. Lett. 136: 301-308 (2020) - [j59]Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante:
Causal Games and Causal Nash Equilibrium. Res. Comput. Sci. 149(3): 123-133 (2020) - [j58]Shifeng Zhang, Ajian Liu, Jun Wan, Yanyan Liang, Guodong Guo, Sergio Escalera, Hugo Jair Escalante, Stan Z. Li:
CASIA-SURF: A Large-Scale Multi-Modal Benchmark for Face Anti-Spoofing. IEEE Trans. Biom. Behav. Identity Sci. 2(2): 182-193 (2020) - [c102]José Medardo Tapia-Téllez, Hugo Jair Escalante:
Data Augmentation with Transformers for Text Classification. MICAI (2) 2020: 247-259 - [c101]Hugo Jair Escalante, Katja Hofmann:
NeurIPS 2020 Competition and Demonstration Track: Revised selected papers. NeurIPS (Competition and Demos) 2020: 1-2 - [c100]Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante, Carlos A. Coello Coello:
Cooperative Co-Evolutionary Genetic Programming for High Dimensional Problems. PPSN (2) 2020: 48-62 - [c99]Mario Ezra Aragón, Horacio Jesús Jarquín-Vásquez, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor Pineda, Helena Gómez-Adorno, Juan Pablo Posadas-Durán, Gemma Bel-Enguix:
Overview of MEX-A3T at IberLEF 2020: Fake News and Aggressiveness Analysis in Mexican Spanish. IberLEF@SEPLN 2020: 222-235 - [i21]Ajian Liu, Xuan Li, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Meysam Madadi, Yi Jin, Zhuoyuan Wu, Xiaogang Yu, Zichang Tan, Qi Yuan, Ruikun Yang, Benjia Zhou, Guodong Guo, Stan Z. Li:
Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review. CoRR abs/2004.10998 (2020) - [i20]Hugo Jair Escalante:
Automated Machine Learning - a brief review at the end of the early years. CoRR abs/2008.08516 (2020) - [i19]Mauricio Gonzalez-Soto, Ivan R. Feliciano-Avelino, Luis Enrique Sucar, Hugo Jair Escalante Balderas:
Causal Structure Learning: a Bayesian approach based on random graphs. CoRR abs/2010.06164 (2020)
2010 – 2019
- 2019
- [j57]Margarita Gamarra, Eduardo E. Zurek, Hugo Jair Escalante, Leidy Hurtado, Homero San-Juan-Vergara:
Split and merge watershed: A two-step method for cell segmentation in fluorescence microscopy images. Biomed. Signal Process. Control. 53 (2019) - [j56]Luis Pellegrin, Octavio Loyola-González, José Ortiz-Bejar, Miguel Angel Medina-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Eric Sadit Tellez, Mario Graff, Sabino Miranda-Jiménez, Daniela Moctezuma, Mauricio García-Limón, Alicia Morales-Reyes, Carlos A. Reyes García, Eduardo F. Morales, Hugo Jair Escalante:
Image Annotation as Text-Image Matching: Challenge Design and Results. Computación y Sistemas 23(4) (2019) - [j55]Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante:
Evolving autoencoding structures through genetic programming. Genet. Program. Evolvable Mach. 20(3): 413-440 (2019) - [j54]Adrián Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Fabio A. González:
Novel Distributional Visual-Feature Representations for image classification. Multim. Tools Appl. 78(9): 11313-11336 (2019) - [j53]Luis Pellegrin, Hugo Jair Escalante, Manuel Montes-y-Gómez, Fabio A. González:
Exploiting label semantic relatedness for unsupervised image annotation with large free vocabularies. Multim. Tools Appl. 78(14): 19641-19662 (2019) - [j52]Heidy Marisol Marín Castro, Jaciel D. Hernandez-Resendiz, Hugo Jair Escalante Balderas, Luis Pellegrin, Edgar Tello-Leal:
Chained ensemble classifier for image annotation. Multim. Tools Appl. 78(18): 26263-26285 (2019) - [j51]Gholamreza Anbarjafari, Sergio Escalera, Kamal Nasrollahi, Hugo Jair Escalante, Xavier Baró, Jun Wan, Thomas B. Moeslund:
Guest editorial: special issue on human abnormal behavioural analysis. Mach. Vis. Appl. 30(5): 807-811 (2019) - [j50]Jorge A. Vanegas, Hugo Jair Escalante, Fabio A. González:
Scalable multi-label annotation via semi-supervised kernel semantic embedding. Pattern Recognit. Lett. 123: 97-103 (2019) - [j49]Jorge A. Vanegas, Viviana Beltrán, Hugo Jair Escalante, Fabio A. González:
Transductive non-linear semantic embedding for multi-class classification. Pattern Recognit. Lett. 128: 370-377 (2019) - [c98]Jorge G. Madrid, Hugo Jair Escalante:
Meta-learning of Text Classification Tasks. CIARP 2019: 107-119 - [c97]Rodrigo Rill-García, Hugo Jair Escalante, Luis Villaseñor Pineda, Verónica Reyes-Meza:
High-Level Features for Multimodal Deception Detection in Videos. CVPR Workshops 2019: 1565-1573 - [c96]Ajian Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zichang Tan, Qi Yuan, Kai Wang, Chi Lin, Guodong Guo, Isabelle Guyon, Stan Z. Li:
Multi-Modal Face Anti-Spoofing Attack Detection Challenge at CVPR2019. CVPR Workshops 2019: 1601-1610 - [c95]Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante:
Convolutional Genetic Programming. MCPR 2019: 47-57 - [c94]Ivan Feliciano-Avelino, Miguel Ángel Álvarez-Carmona, Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Villaseñor Pineda:
Cross-Cultural Image-Based Author Profiling in Twitter. MICAI 2019: 353-363 - [c93]Hugo Jair Escalante, Raia Hadsell:
NeurIPS 2019 Competition and Demonstration Track Revised selected papers. NeurIPS (Competition and Demos) 2019: 1-12 - [c92]Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales:
Meta-learning of Textual Representations. PKDD/ECML Workshops (1) 2019: 57-67 - [c91]Mario Ezra Aragón, Miguel Ángel Álvarez-Carmona, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor Pineda, Daniela Moctezuma:
Overview of MEX-A3T at IberLEF 2019: Authorship and Aggressiveness Analysis in Mexican Spanish Tweets. IberLEF@SEPLN 2019: 478-494 - [p2]Isabelle Guyon, Lisheng Sun-Hosoya, Marc Boullé, Hugo Jair Escalante, Sergio Escalera, Zhengying Liu, Damir Jajetic, Bisakha Ray, Mehreen Saeed, Michèle Sebag, Alexander R. Statnikov, Wei-Wei Tu, Evelyne Viegas:
Analysis of the AutoML Challenge Series 2015-2018. Automated Machine Learning 2019: 177-219 - [e3]Zhaoxiang Zhang, David Suter, Yingli Tian, Alexandra Branzan Albu, Nicolas Sidère, Hugo Jair Escalante:
Pattern Recognition and Information Forensics - ICPR 2018 International Workshops, CVAUI, IWCF, and MIPPSNA, Beijing, China, August 20-24, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11188, Springer 2019, ISBN 978-3-030-05791-6 [contents] - [e2]Hugo Jair Escalante, Raia Hadsell:
NeurIPS 2019 Competition and Demonstration Track, 8-14 December 2019, Vancouver, Canada. Revised selected papers. Proceedings of Machine Learning Research 123, PMLR 2019 [contents] - [i18]Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante:
A Guiding Principle for Causal Decision Problems. CoRR abs/1902.02279 (2019) - [i17]Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon, Daniel L. Silver, Evelyne Viegas, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
AutoML @ NeurIPS 2018 challenge: Design and Results. CoRR abs/1903.05263 (2019) - [i16]Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales:
Meta-learning of textual representations. CoRR abs/1906.08934 (2019) - [i15]Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales, Wei-Wei Tu, Yang Yu, Lisheng Sun-Hosoya, Isabelle Guyon, Michèle Sebag:
Towards AutoML in the presence of Drift: first results. CoRR abs/1907.10772 (2019) - [i14]Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante:
von Neumann-Morgenstern and Savage Theorems for Causal Decision Making. CoRR abs/1907.11752 (2019) - [i13]Shifeng Zhang, Ajian Liu, Jun Wan, Yanyan Liang, Guodong Guo, Sergio Escalera, Hugo Jair Escalante, Stan Z. Li:
CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing. CoRR abs/1908.10654 (2019) - [i12]Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante:
Causal Games and Causal Nash Equilibrium. CoRR abs/1910.06729 (2019) - 2018
- [j48]Israel Cruz-Vega, Carlos A. Reyes García, Hugo Jair Escalante, Jose de Jesus Rangel-Magdaleno, Juan Manuel Ramírez-Cortés:
Surrogate modeling based on granular models and fuzzy aptitude functions. Appl. Soft Comput. 65: 21-32 (2018) - [j47]