Manuel Montes y Gómez
Datos generales
Nombre:
Manuel Montes y Gómez
Institución:
Instituto Nacional de Astrofísica, Óptica y Electrónica
Área:
Tratamiento automático del lenguaje
Nivel SNII:
Nivel II
Identidades Scopus
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6602768949Pubs: 278 Citas: 4296 h: 31 i10: 95
Publicaciones
2021
- [C1]Masking and Transformer-based Models for Hyperpartisanship Detection in NewsSánchez-Junquera J.; Rosso P.; Montes-Y-Gómez M.; Ponzetto S.P.DOIhttps://doi.org/10.26615%2F978-954-452-072-4_140
- [C2]Detecting Traces of Self-harm in Social Media: A Simple and Interpretable ApproachAguilera J.; Farías D.I.H.; Montes-y-Gómez M.; González L.C.DOIhttps://doi.org/10.1007%2F978-3-030-89820-5_16
- [C3]Self-Contextualized Attention for Abusive Language IdentificationJarquin-Vasquez H.; Escalante H.J.; Montes-Y-Gomez M.DOIhttps://doi.org/10.18653%2Fv1%2F2021.socialnlp-1.9
- [C4]Multimodal Weighted Fusion of Transformers for Movie Genre ClassificationRodríguez-Bribiesca I.; López-Monroy A.P.; Montes-Y-Gómez M.DOIhttps://doi.org/10.18653%2Fv1%2F2021.maiworkshop-1.1
- [C5]Iberlef 2021 overview: Natural language processing for iberian languagesGonzalo J.; Montes-Y-Gómez M.; Rosso P.
- [C6]UACH at SMM4H: a BERT based approach for classification of COVID-19 Twitter postsChávez A.V.; López Santillán J.R.; Montes-Y-Gómez M.
2020
- [C7]Brain Tumor Segmentation using an Encoder-Decoder Network with a Multiscale Feature ModulePrieto-Ordaz O.; Ramirez-Alonso G.; Gonzalez L.C.; Lopez-Santillan R.; Montes-Y-Gomez M.DOIhttps://doi.org/10.1109%2FROPEC50909.2020.9258718
- [A1]τ-SS3: A text classifier with dynamic n-grams for early risk detection over text streamsBurdisso S.G.; Errecalde M.; Montes-y-Gómez M.DOIhttps://doi.org/10.1016%2Fj.patrec.2020.07.001
- [A2]From neighbors to strengths - the k-strongest strengths (kSS) classification algorithmAguilera J.; González L.C.; Montes-y-Gómez M.; López R.; Escalante H.J.DOIhttps://doi.org/10.1016%2Fj.patrec.2020.06.020
- [E1]Special Section: CIARP 2018Fierrez J.; Morales A.; Vera-Rodriguez R.; Montes-y-Gomez M.; Velastin S.A.DOIhttps://doi.org/10.1016%2Fj.patrec.2019.10.014
- [A3]Masking domain-specific information for cross-domain deception detectionSánchez-Junquera J.; Villaseñor-Pineda L.; Montes-y-Gómez M.; Rosso P.; Stamatatos E.DOIhttps://doi.org/10.1016%2Fj.patrec.2020.04.020
- [A4]Richer Document Embeddings for Author Profiling tasks based on a heuristic searchLópez-Santillán R.; Montes-Y-Gómez M.; González-Gurrola L.C.; Ramírez-Alonso G.; Prieto-Ordaz O.DOIhttps://doi.org/10.1016%2Fj.ipm.2020.102227
- [A5]Gated multimodal networksArevalo J.; Solorio T.; Montes-y-Gómez M.; González F.A.DOIhttps://doi.org/10.1007%2Fs00521-019-04559-1
- [C8]Iberlef 2020iberian languages evaluation forum 2020 proceedings of the iberian languages evaluation forum (iberlef 2020)co-located with 36th conference of the Spanish society for natural languageprocessing (sepln 2020)Cumbreras M.Á.G.; Gonzalo J.; Cámara E.M.; Unanue R.M.; Rosso P.; Zafra S.J.; Ortiz-Zambrano J.A.; Miranda A.; Porta-Zamorano J.; Guitiérrez Y.; Rosá A.; Montes-Y-Gómez M.; Garciá-Vega M.
- [C9]Overview of mex-a3t at iberlef 2020: Fake news and aggressiveness analysis in mexican SpanishAragón M.E.; Jarquín-Vasqueza H.; Montes-Y-Gómez M.; Escalante H.J.; Villasenõr-Pineda L.; Gómez-Adorno H.; Posadas-Durán J.P.; Bel-Enguix G.
- [C10]Attention to emotions: Detecting mental disorders in social mediaAragón M.E.; López-Monroy A.P.; González L.C.; Montes-y-Gómez M.DOIhttps://doi.org/10.1007%2F978-3-030-58323-1_25
- [C11]A Mixed Information Source Approach for Biomedical Question Answering: MindLab at BioASQ 7BPineda-Vargas M.; Rosso-Mateus A.; González F.A.; Montes-y-Gómez M.DOIhttps://doi.org/10.1007%2F978-3-030-43887-6_54
- [A6]Deep fusion of multiple term-similarity measures for biomedical passage retrievalRosso-Mateus A.; Montes-Y-Gómez M.; Rosso P.; González F.A.DOIhttps://doi.org/10.3233%2FJIFS-179887
- [O1]Forensic analysis recognitionLópez-Monroy A.P.; Escalante H.J.; Montes-Y-Gómez M.; Baró X.DOIhttps://doi.org/10.1007%2F978-3-030-29326-0_1
- [C12]A Deep Metric Learning Method for Biomedical Passage RetrievalRosso-Mateus A.; Montes-Y-Gómez M.; González F.A.DOIhttps://doi.org/10.18653%2Fv1%2F2020.coling-main.548
- [C13]INAOE-CIMAT at eRisk 2020: Detecting Signs of Self-Harm using Sub-Emotions and WordsAragón M.E.; Pastor López-Monroy A.; Montes-Y-Gómez M.
- [C14]Not all swear words are used equal: Attention over word n-grams for abusive language identificationJarquín-Vásquez H.J.; Montes-y-Gómez M.; Villaseñor-Pineda L.DOIhttps://doi.org/10.1007%2F978-3-030-49076-8_27
2019
- [A7]A text classification framework for simple and effective early depression detection over social media streamsBurdisso S.G.; Errecalde M.; Montes-y-Gómez M.DOIhttps://doi.org/10.1016%2Fj.eswa.2019.05.023
- [A8]Exploiting label semantic relatedness for unsupervised image annotation with large free vocabulariesPellegrin L.; Escalante H.J.; Montes-y-Gómez M.; González F.A.DOIhttps://doi.org/10.1007%2Fs11042-019-7357-2
- [A9]Paraphrase plagiarism identification with character-level featuresSánchez-Vega F.; Villatoro-Tello E.; Montes-y-Gómez M.; Rosso P.; Stamatatos E.; Villaseñor-Pineda L.DOIhttps://doi.org/10.1007%2Fs10044-017-0674-z
- [A10]Novel Distributional Visual-Feature Representations for image classificationLópez-Monroy A.P.; Montes-y-Gómez M.; Escalante H.J.; González F.A.DOIhttps://doi.org/10.1007%2Fs11042-018-6674-1
- [C15]Overview of the task on irony detection in Spanish variantsOrtega-Bueno R.; Rangel F.; Farías D.I.H.; Rosso P.; Montes-Y-Gómez M.; Medina-Pagola J.E.
- [C16]Overview of MEX-A3T at IberLEF 2019: Authorship and aggressiveness analysis in Mexican Spanish tweetsAragón M.E.; Álvarez-Carmona M.; Montes-Y-Gómez M.; Escalante H.J.; Villaseñor-Pineda L.; Moctezuma D.
- [C17]Jointly learning author and annotated character N-gram embeddings: A case study in literary textMaharjan S.; Mave D.; Shrestha P.; Montes-Y-Gómez M.; González F.A.; Solorio T.DOIhttps://doi.org/10.26615%2F978-954-452-056-4_080
- [C18]An evolutionary approach to build user representations for profiling of bots and humans in twitter notebook for PaN at CLEF 2019López-Santillán R.; González-Gurrola L.C.; Montes-Y-Gómez M.; Ramírez-Alonso G.; Prieto-Ordaz O.
- [C19]Predicting academic-challenge successLópez D.; Villaseñor L.; Montes-y-Gómez M.; Morales E.; Escalante H.J.DOIhttps://doi.org/10.1007%2F978-3-030-13469-3_101
- [C20]Cross-Cultural Image-Based Author Profiling in TwitterFeliciano-Avelino I.; Álvarez-Carmona M.; Escalante H.J.; Montes-y-Gómez M.; Villaseñor-Pineda L.DOIhttps://doi.org/10.1007%2F978-3-030-33749-0_28
- [C21]Bots and Gender Profiling using Masking Techniques Notebook for PAN at CLEF 2019Jimenez-Villar V.; Sánchez-Junquera J.; Montes-Y-Gómez M.; Villaseñor-Pineda L.; Ponzetto S.P.
- [A11]A comparative analysis of distributional term representations for author profiling in social mediaÁlvarez-Carmona M.A.; Villatoro-Tello E.; Montes-Y-Gómez M.; Villaseñor-Pineda L.DOIhttps://doi.org/10.3233%2FJIFS-179033
- [A12]Online hate speech against women: Automatic identification of misogyny and sexism on twitterFrenda S.; Ghanem B.; Montes-Y-Gómez M.; Rosso P.DOIhttps://doi.org/10.3233%2FJIFS-179023
- [C22]Crosslingual Depression Detection in Twitter Using Bilingual Word AlignmentsCoello-Guilarte L.; Ortega-Mendoza R.M.; Villaseñor-Pineda L.; Montes-y-Gómez M.DOIhttps://doi.org/10.1007%2F978-3-030-28577-7_2
- [C23]Detecting depression in social media using fine-grained emotionsAragón M.E.; Pastor López-Monroy A.; González-Gurrola L.C.; Montes-Y-Gómez M.
- [C24]UACh-INAOE at HASOC 2019: Detecting aggressive tweets by incorporating authors' traits as descriptorsCasavantes M.; Lopez R.; González-Gurrola L.C.; Montes-Y-Gomez M.
- [C25]A new weighted k-nearest neighbor algorithm based on newton’s gravitational forceAguilera J.; González L.; Montes-y-Gómez M.; Rosso P.DOIhttps://doi.org/10.1007%2F978-3-030-13469-3_36
- [C26]INAOE-CIMAT at ERISk 2019: Detecting Signs of Anorexia using Fine-Grained EmotionsAragón M.E.; Pastor López-Monroy A.; Montes-Y-Gómez M.
- [C27]Exploring the Use of Psycholinguistic Information in Author ProfilingHernández Farías D.I.; Ortega-Mendoza R.M.; Montes-y-Gómez M.DOIhttps://doi.org/10.1007%2F978-3-030-21077-9_38
- [C28]LTL-INAOE's participation at Erisk 2019: Detecting anorexia in social media through shared personal informationOrtega-Mendoza R.M.; Farías D.I.H.; Montes-Y-Gómez M.
- [A13]Author profiling on social media using new weighting schemes that emphasize personal informationMendoza R.M.O.; Arcega A.F.; Montes Y Gómez M.DOIhttps://doi.org/10.13053%2FCyS-23-2-3005
- [C29]UNSL at Erisk 2019: A Unified Approach for Anorexia, Self-harm and Depression Detection in Social MediaBurdisso S.G.; Errecalde M.; Montes-Y-Gómez M.
2018
- [A14]A Genetic Programming Approach for Driving Score Calculation in the Context of Intelligent Transportation SystemsLopez J.R.; Gonzalez L.C.; Wahlstrom J.; Montes Y Gomez M.; Trujillo L.; Ramirez-Alonso G.DOIhttps://doi.org/10.1109%2FJSEN.2018.2856112
- [A15]Equivalences Among Polarity AlgorithmsLavalle-Martínez J.d.J.; Montes-y-Gómez M.; Villaseñor-Pineda L.; Jiménez-Salazar H.; Bárcenas-Patiño I.E.DOIhttps://doi.org/10.1007%2Fs11225-017-9743-y
- [A16]Emphasizing personal information for Author Profiling: New approaches for term selection and weightingOrtega-Mendoza R.M.; López-Monroy A.P.; Franco-Arcega A.; Montes-y-Gómez M.DOIhttps://doi.org/10.1016%2Fj.knosys.2018.01.014
- [A17]A visual approach for age and gender identification on TwitterÁlvarez-Carmona M.A.; Pellegrin L.; Montes-Y-Gómez M.; Sánchez-Vega F.; Escalante H.J.; López-Monroy A.P.; Villaseñor-Pineda L.; Villatoro-Tello E.DOIhttps://doi.org/10.3233%2FJIFS-169497
- [C30]UNSL's participation at eRisk 2018 LabFunez D.G.; Garciarena Ucelay M.J.; Villegas M.P.; Burdisso S.G.; Cagnina L.C.; Montes-Y-Gómez M.; Errecalde M.L.
- [C31]Overview of MEX-A3T at IberEval 2018: Authorship and aggressiveness analysis in Mexican Spanish tweetsÁlvarez-Carmona M.; Guzmán-Falcón E.; Montes-y-Gómez M.; Escalante H.J.; Villaseñor-Pineda L.; Reyes-Meza V.; Rico-Sulayes A.
Métricas generales del investigador AMPLN
- h–index: 31
- i10: 95
- Total citas: 4296
- Total publicaciones: 278
- Artículos: 73
- Conferencias: 195
- Editorial: 3
- Otros: 7
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: 86 publicación(es)
- Ceur Workshop Proceedings: 54 publicación(es)
- Lecture Notes in Computer Science: 9 publicación(es)
- Procesamiento Del Lenguaje Natural: 9 publicación(es)
- Journal of Intelligent and Fuzzy Systems: 6 publicación(es)
- Computacion Y Sistemas: 5 publicación(es)
- Pattern Recognition Letters: 5 publicación(es)
- Information Processing and Management: 5 publicación(es)
- Neural Computing and Applications: 4 publicación(es)
- Expert Systems with Applications: 4 publicación(es)
- Multimedia Tools and Applications: 4 publicación(es)
- Communications in Computer and Information Science: 3 publicación(es)
- Artificial Intelligence in Medicine: 3 publicación(es)
- Studies in Computational Intelligence: 3 publicación(es)
- Knowledge Based Systems: 3 publicación(es)
- ACM International Conference Proceeding Series: 3 publicación(es)
- Wassa 2013 4th Workshop on Computational Approaches to Subjectivity Sentiment and Social Media Analysis Proceedings: 2 publicación(es)
- Information Retrieval: 2 publicación(es)
- 15th Conference of the European Chapter of the Association for Computational Linguistics Eacl 2017 Proceedings of Conference: 2 publicación(es)
- International Conference Recent Advances in Natural Language Processing Ranlp: 2 publicación(es)