Hugo Jair Escalante Balderas
Datos generales
Nombre:
Hugo Jair Escalante Balderas
Institución:
Instituto Nacional de Astrofísica, Óptica y Electrónica
Área:
Lenguaje y Visión, Aprendizaje Máquina
Nivel SNII:
Nivel II
Identidades Scopus
-
56013538200Pubs: 147 Citas: 3289 h: 31 i10: 59
Publicaciones
2025
- [A1]Dile: a distribution-based incremental learning approachMorales E.F.; Herrera-Vega J.; Serrano-Cuevas J.; Aburto Y.; Sucar L.E.; Escalante H.J.DOIhttps://doi.org/10.1007%2Fs10044-025-01552-4
- [C1]Speeding up the Multi-objective NAS Through Incremental LearningGarcia-Garcia C.; Derbel B.; Morales-Reyes A.; Escalante H.J.DOIhttps://doi.org/10.1007%2F978-3-031-75543-9_1
- [A2]Choosing with Unknown Causal Information: Action-Outcome Probabilities for Decision-Making Can be Grounded in Causal ModelsGonzalez-Soto M.; Danks D.; Escalante H.J.; Sucar L.E.DOIhttps://doi.org/10.1007%2Fs10670-025-00961-5
2024
- [O1]Guest Editorial: AutoML for Nonstationary DataCheng R.; Escalante H.J.; Tu W.W.; Rijn J.N.V.; Wang S.; Yang Y.DOIhttps://doi.org/10.1109%2FTAI.2024.3387583
- [C2]Unified Physical-Digital Attack Detection ChallengeYuan H.; Liu A.; Zheng J.; Wan J.; Deng J.; Escalera S.; Escalante H.J.; Guyon I.; Lei Z.DOIhttps://doi.org/10.1109%2FCVPRW63382.2024.00097
- [C3]Labeling Comic Mischief Content in Online Videos with a Multimodal Hierarchical-Cross-Attention ModelBaharlouei E.; Shafaei M.; Zhang Y.; Escalante H.J.; Solorio T.
- [C4]Multimodal-Attention Fusion for the Detection of Questionable Content in VideosMorales A.; Baharlouei E.; Solorio T.; Escalante H.J.DOIhttps://doi.org/10.1007%2F978-3-031-62836-8_18
- [C5]Progressive Self-supervised Multi-objective NAS for Image ClassificationGarcia-Garcia C.; Morales-Reyes A.; Escalante H.J.DOIhttps://doi.org/10.1007%2F978-3-031-56855-8_11
2023
- [A3]Continuous Cartesian Genetic Programming based representation for multi-objective neural architecture searchGarcia-Garcia C.; Morales-Reyes A.; Escalante H.J.DOIhttps://doi.org/10.1016%2Fj.asoc.2023.110788
- [A4]Learning a causal structure: a Bayesian random graph approachGonzalez-Soto M.; Feliciano-Avelino I.; Sucar L.E.; Escalante H.J.DOIhttps://doi.org/10.1007%2Fs00521-021-06506-5
- [A5]Source tasks selection for transfer deep reinforcement learning: a case of study on Atari gamesGarcía-Ramírez J.; Morales E.F.; Escalante H.J.DOIhttps://doi.org/10.1007%2Fs00521-021-06419-3
- [A6]Multi-branch deep radial basis function networks for facial emotion recognitionHernández-Luquin F.; Escalante H.J.DOIhttps://doi.org/10.1007%2Fs00521-021-06420-w
- [O2]Multimodal affective computing: Technologies and applications in learning environmentsCabada R.Z.; López H.M.C.; Escalante H.J.DOIhttps://doi.org/10.1007%2F978-3-031-32542-7
- [C6]Wild Face Anti-Spoofing Challenge 2023: Benchmark and ResultsWang D.; Guo J.; Shao Q.; He H.; Chen Z.; Xiao C.; Liu A.; Escalera S.; Escalante H.J.; Lei Z.; Wan J.; Deng J.DOIhttps://doi.org/10.1109%2FCVPRW59228.2023.00679
- [A7]CodaLab Competitions An Open Source Platform to Organize Scientific ChallengesPavão A.; Guyon I.; Letournel A.C.; Tran D.T.; Baró X.; Escalante H.J.; Escalera S.; Thomas T.; Xu Z.
- [C7]Surveillance Face Presentation Attack Detection ChallengeFang H.; Liu A.; Wan J.; Escalera S.; Escalante H.J.; Lei Z.DOIhttps://doi.org/10.1109%2FCVPRW59228.2023.00677
- [A8]Towards the Monitoring of Violent Events in Social Media through Visual InformationEscalante-Hernandez A.; Joaquín-Arellano L.; de Jesús Lavalle-Martínez J.; Villaseñor-Pineda L.; Escalante H.J.DOIhttps://doi.org/10.13053%2FCyS-27-1-4531
- [A9]Automatic Selection of Multi-view Learning Techniques and Views for Pattern Recognition in Electroencephalogram SignalsBarajas-Montiel S.E.; Morales E.F.; Escalante H.J.; Reyes-García C.A.DOIhttps://doi.org/10.13053%2FCyS-27-1-4533
- [A10]Automatic Depression Detection in Social Networks Using Multiple User CharacterizationsValencia-Segura K.M.; Escalante H.J.; Villaseñor-Pineda L.DOIhttps://doi.org/10.13053%2FCyS-27-1-4540
2022
- [C8]Towards a monitoring and emergency alarm system activated by the barking of assistant dogsAbrego-Ulloa E.R.; Aguilar-Lazcano C.A.; Pérez-Espinosa H.; Rodríguez-Vizzuett L.; Hernández-Luquin M.F.; Espinosa-Curiel I.E.; Escalante H.J.DOIhttps://doi.org/10.1145%2F3565995.3566038
- [C9]Dog emotion recognition from images in the wild: DEBIw dataset and first resultsHernández-Luquin F.; Escalante H.J.; Villaseñor-Pineda L.; Reyes-Meza V.; Villaseñor-Pineda L.; Pérez-Espinosa H.; Reyes-Meza V.; Escalante H.J.; Gutierrez-Serafín B.DOIhttps://doi.org/10.1145%2F3565995.3566041
- [C10]CGP-NAS: Real-based solutions encoding for multi-objective evolutionary neural architecture searchGarcia-Garcia C.; Escalante H.J.; Morales-Reyes A.DOIhttps://doi.org/10.1145%2F3520304.3528963
- [A11]Modeling, Recognizing, and Explaining Apparent Personality from VideosEscalante H.J.; Kaya H.; Salah A.A.; Escalera S.; Gucluturk Y.; Guclu U.; Baro X.; Guyon I.; Junior J.C.S.J.; Madadi M.; Ayache S.; Viegas E.; Gurpnar F.; Wicaksana A.S.; Liem C.C.S.; Van Gerven M.A.J.; Van Lier R.DOIhttps://doi.org/10.1109%2FTAFFC.2020.2973984
- [A12]First Impressions: A Survey on Vision-Based Apparent Personality Trait AnalysisJacques Junior J.C.S.; Gucluturk Y.; Perez M.; Guclu U.; Andujar C.; Baro X.; Escalante H.J.; Guyon I.; Van Gerven M.A.J.; Van Lier R.; Escalera S.DOIhttps://doi.org/10.1109%2FTAFFC.2019.2930058
- [C11]A multiplatform application for automatic recognition of personality traits for Learning EnvironmentsBeltran V.M.B.; Cabada R.Z.; Estrada M.L.B.; Lopez H.M.C.; Escalante H.J.DOIhttps://doi.org/10.1109%2FICALT55010.2022.00022
- [C12]Sequential Models for Automatic Personality Recognition from Multimodal Information in Social InteractionsLima J.R.; Escalante H.J.; Pineda L.V.DOIhttps://doi.org/10.1109%2FROPEC55836.2022.10018711
- [C13]Detecting and Identifying Global Visual Novelties in Driving ScenariosPalacios-Alonso M.A.; Escalante H.J.; Sucar L.E.DOIhttps://doi.org/10.1109%2FIV51971.2022.9826999
- [C14]Model Compression for Deep Reinforcement Learning Through Mutual InformationGarcía-Ramírez J.; Morales E.F.; Escalante H.J.DOIhttps://doi.org/10.1007%2F978-3-031-22419-5_17
- [C15]Leveraging Multiple Characterizations of Social Media Users for Depression Detection Using Data FusionValencia-Segura K.M.; Escalante H.J.; Villaseñor-Pineda L.DOIhttps://doi.org/10.1007%2F978-3-031-07750-0_20
- [C16]Multi-view Learning for EEG Signal Classification of Imagined SpeechBarajas Montiel S.E.; Morales E.F.; Escalante H.J.DOIhttps://doi.org/10.1007%2F978-3-031-07750-0_18
2021
- [O3]Guest Editorial: Automated Machine LearningEscalante H.J.; Yao Q.; Tu W.W.; Pillay N.; Qu R.; Yu Y.; Houlsby N.DOIhttps://doi.org/10.1109%2FTPAMI.2021.3077106
- [A13]Desert bighorn sheep (Ovis canadensis) recognition from camera traps based on learned featuresVargas-Felipe M.; Pellegrin L.; Guevara-Carrizales A.A.; López-Monroy A.P.; Escalante H.J.; Gonzalez-Fraga J.A.DOIhttps://doi.org/10.1016%2Fj.ecoinf.2021.101328
- [E1]Special Issue on Face Presentation Attack DetectionWan J.; Escalera S.; Escalante H.J.; Guo G.; Li S.Z.DOIhttps://doi.org/10.1109%2FTBIOM.2021.3089903
- [O4]Cross-ethnicity face anti-spoofing recognition challenge: A reviewLiu A.; Li X.; Wan J.; Liang Y.; Escalera S.; Escalante H.J.; Madadi M.; Jin Y.; Wu Z.; Yu X.; Tan Z.; Yuan Q.; Yang R.; Zhou B.; Guo G.; Li S.Z.DOIhttps://doi.org/10.1049%2Fbme2.12002
- [C17]3D High-Fidelity Mask Face Presentation Attack Detection ChallengeLiu A.; Zhao C.; Yu Z.; Su A.; Liu X.; Kong Z.; Wan J.; Escalera S.; Escalante H.J.; Lei Z.; Guo G.DOIhttps://doi.org/10.1109%2FICCVW54120.2021.00096
- [C18]Multi-source Transfer Learning for Deep Reinforcement LearningGarcía-Ramírez J.; Morales E.; Escalante H.J.DOIhttps://doi.org/10.1007%2F978-3-030-77004-4_13
- [C19]Perceptual and Pixel-Wise Information for Visual Novelty DetectionPalacios-Alonso M.A.; Escalante H.J.; Sucar L.E.DOIhttps://doi.org/10.1007%2F978-3-030-77004-4_24
- [C20]Source Task Selection in Time Series via Performance PredictionGarcía-Ramírez J.; Morales E.; Escalante H.J.DOIhttps://doi.org/10.1007%2F978-3-030-89817-5_9
- [O5]A brief introduction to supervised, unsupervised, and reinforcement learningMorales E.F.; Escalante H.J.DOIhttps://doi.org/10.1016%2FB978-0-12-820125-1.00017-8
- [O6]Dimensionality reductionEscalante H.J.; Morales E.F.DOIhttps://doi.org/10.1016%2FB978-0-12-820125-1.00015-4
- [O7]Automated Machine Learning—A Brief Review at the End of the Early YearsEscalante H.J.DOIhttps://doi.org/10.1007%2F978-3-030-72069-8_2
2020
- [E2]Guest Editorial: Image and Video Inpainting and DenoisingEscalera S.; Escalante H.J.; Baro X.; Guyon I.; Madadi M.; Wan J.; Ayache S.; Gucluturk Y.; Guclu U.DOIhttps://doi.org/10.1109%2FTPAMI.2020.2971291
- [A14]Recognition of facial expressions based on CNN featuresGonzález-Lozoya S.M.; de la Calleja J.; Pellegrin L.; Escalante H.J.; Medina M.A.; Benitez-Ruiz A.DOIhttps://doi.org/10.1007%2Fs11042-020-08681-4
- [A15]CASIA-SURF: A Large-Scale Multi-Modal Benchmark for Face Anti-SpoofingZhang S.; Liu A.; Wan J.; Liang Y.; Guo G.; Escalera S.; Escalante H.J.; Li S.Z.DOIhttps://doi.org/10.1109%2FTBIOM.2020.2973001
- [C21]Cooperative co-evolutionary genetic programming for high dimensional problemsRodriguez-Coayahuitl L.; Morales-Reyes A.; Escalante H.J.; Coello Coello C.A.DOIhttps://doi.org/10.1007%2F978-3-030-58115-2_4
- [C22]Meta-learning of textual representationsMadrid J.G.; Escalante H.J.; Morales E.DOIhttps://doi.org/10.1007%2F978-3-030-43823-4_6
- [C23]Data Augmentation with Transformers for Text ClassificationTapia-Téllez J.M.; Escalante H.J.DOIhttps://doi.org/10.1007%2F978-3-030-60887-3_22
- [E3]NeurIPS 2020 Competition and Demonstration Track Revised selected papersEscalante H.J.; Hofmann K.
2019
- [A16]Transductive non-linear semantic embedding for multi-class classificationVanegas J.A.; Beltrán V.; Escalante H.J.; González F.A.DOIhttps://doi.org/10.1016%2Fj.patrec.2019.09.009
- [C24]A comparison among different levels of abstraction in genetic programmingRodriguez-Coayahuitl L.; Morales-Reyes A.; Escalante H.J.DOIhttps://doi.org/10.1109%2FROPEC48299.2019.9057106
Métricas generales del investigador AMPLN
- h–index: 31
- i10: 59
- Total citas: 3289
- Total publicaciones: 147
- Artículos: 42
- Conferencias: 88
- Editorial: 6
- Otros: 11
Publicaciones por año
Productividad por revista (Top 20)
- Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics: 34 publicación(es)
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops: 8 publicación(es)
- Ceur Workshop Proceedings: 6 publicación(es)
- Proceedings of the International Joint Conference on Neural Networks: 5 publicación(es)
- Neural Computing and Applications: 4 publicación(es)
- Computacion Y Sistemas: 4 publicación(es)
- IEEE Transactions on Affective Computing: 4 publicación(es)
- IEEE Transactions on Pattern Analysis and Machine Intelligence: 3 publicación(es)
- Pattern Recognition Letters: 3 publicación(es)
- Multimedia Tools and Applications: 2 publicación(es)
- ACM International Conference Proceeding Series: 2 publicación(es)
- IEEE Transactions on Biometrics Behavior and Identity Science: 2 publicación(es)
- Pattern Analysis and Applications: 2 publicación(es)
- Biosignal Processing and Classification Using Computational Learning and Intelligence Principles Algorithms and Applications: 2 publicación(es)
- Proceedings of the IEEE International Conference on Computer Vision: 2 publicación(es)
- Gecco 2014 Proceedings of the 2014 Genetic and Evolutionary Computation Conference: 2 publicación(es)
- Machine Vision and Applications: 2 publicación(es)
- Proceedings of Machine Learning Research: 2 publicación(es)
- Neurocomputing: 2 publicación(es)
- Biomedical Signal Processing and Control: 2 publicación(es)