• GHA: a Gated Hierarchical Attention Mechanism for the Detection of Abusive Language in Social Media. Horacio Jarquín-Vásquez, Hugo Jair Escalante, Manuel Montes-y-Gómez, and Fabio A. Gonzalez. Transactions of Affective Computing.
• Enhancing the detection of sexist messages through a multi-profile based ensemble approach. Martha Paola Jimenez-Martinez, Irvin Hussein Lopez-Nava, Manuel Montes-y-Gómez. Computación y Sistemas.

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2025

• Automatic Movie Genre Classification & Emotion Recognition Via a BiProjection Multimodal Transformer Diego Aarón Moreno-Galván, Roberto López-Santillán, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez, Fernando Sanchez-Vega, Adrián Pastor López-Monroy. Information Fusion, Volume 113, January 2025.
• Towards an enhanced automatic medical report generator based on large transformer models. Olanda Prieto-Ordaz, Graciela Ramirez-Alonso, Manuel Montes-y-Gómez, and Roberto López-Santillán. Neural Computing and Applications. Volume 37, pages 43–62, 2025.
• Text Graph Neural Networks for Detecting AI-Generated Content. Andric Valdez-Valenzuela, Helena Gómez-Adorno, Manuel Montes-y-Gómez. Proceedings of the 1st Workshop on GenAI Content Detection (GenAIDetect), Coling 2025. Abu Dhabi, UAE, January 2025.

2024

• Enhancing Abusive Language Detection: A Domain-Adapted Approach Leveraging BERT Pre-training Tasks. Horacio Jarquín-Vásquez, Hugo Jair Escalante, Manuel Montes-y-Gómez. Pattern Recognition Letters. Volume 186, October 2024.
• Overview of DIMEMEX at IberLEF 2024: Detection of Inappropriate Memes from Mexico Horacio Jarquín-Vásquez, Itzel Tlelo-Coyotecatl, Marco Casavantes, Delia Irazú Hernández-Farías, Hugo Jair Escalante, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez. Procesamiento de Lenguaje Natural, , vol. 72, Sept 2024.
• An Analysis of the Impact of Gender and Age on Perceiving and Identifying Sexist Posts Martha Paola Jimenez Martinez, Irvin Hussein López Nava, and Manuel Montes-y-Gómez Mexican Conference on Pattern Recognition, MCPR 2024, LNCS,volume 14755, 2024.
• Temporal fine-tuning for early risk detection Horacio Thompson, Esaú Villatoro, Manuel Montes-y-Gómez, and Marcelo Errecalde. Simposio Argentino de Inteligencia Artificial y Ciencia de Datos (ASAID). Bahía Blanca, Argentina, Agosto 2024.
• Detecting Alzheimer's Disease through the Use of Language Impairment Features. Carlos Olachea, Irazú Hernández-Farias, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda. Mexican International Conference in Artificial Intellegence, MICAI 2024. Santa María Tonanzintla, Puebla. September 2024. LNAI, volume 15247, Springer 2024.
• Enhancing Sexism Detection in Tweets with Annotator-Integrated Ensemble Methods and Multimodal Embeddings for Memes. Martha Paola Jimenez-Martinez, Joan Manuel Raygoza-Romero, Carlos Eduardo Sánchez-Torres, Irvin Hussein Lopez-Nava and Manuel Montes-y-Gómez. Working notes of the EXIST Lab, CLEF 2024.. CEUR Proccedings, Vol-3740. Grenoble, France, September 2024.
• ColPos at HOMO-MEX 2024: Weighted Naive Bayes for LGBTQ+Phobia Detection in Spanish Text. Daniel Ayala Niño, Manuel Montes-y-Gómez, and Ciro Velasco Cruz. Working Notes of IberLEF 2024.. CEUR Proccedings, Vol-3756. Valladolid, Spain, September 24, 2024.
• LabTL-INAOE at HOMO-MEX 2024: Distance-based Representations for LGBT+ Phobia Detection. Metztli Ramírez-González, Delia Irazú Hernández-Farías and Manuel Montes-y-Gómez. Working Notes of IberLEF 2024.. CEUR Proccedings, Vol-3756. Valladolid, Spain, September 24, 2024.
• PropaLTL at DIPROMATS 2024: Cross-lingual Data Augmentation for Propaganda Detection on Tweets. Marco Casavantes, Manuel Montes-y-Gómez, Delia Irazú Hernández-Farías, Luis Carlos González, Alberto Barrón-Cedeño. Working Notes of IberLEF 2024.. CEUR Proccedings, Vol-3756. Valladolid, Spain, September 24, 2024.

2023

• Detecting Mental Disorders in Social Media Through Emotional Patterns: The case of Anorexia and Depression. Mario Ezra Aragón, Adrián Pastor López-Monroy, Luis Carlos González-Gurrola, and Manuel Montes-y-Gómez. IEEE Transactions on Affective Computing, vol. 14, Jan.-March 2023.
• Leveraging posts’ and authors’ metadata to spot several forms of abusive com-ments in Twitter Marco Casavantes, Mario Ezra Aragón, Luis C. González, Manuel Montes-y-Gómez. Journal of Intelligent Information Systems, vol 61, 2023.
• When attention is not enough to unveil a text's author profile -- Enhancing a transformer with a wide branch. J. Roberto López-Santillán, Luis C. González, Manuel Montes-y-Gómez, A. Pastor López-Monroy. Neural Computing and Applications, vol. 35, 2023.
• Enhancing Detection of Misogynistic Content in Social Media by Transferring Knowledge from Song Phrases. Ricardo Calderón-Suárez, Rosa M. Ortega-Mendoza, Manuel Montes-y-Gómez, Carina Toxqui-Quitl, Marco A. Marquéz-Vera. IEEE Access, vol. 11, 2023.
• Overview of DA-VINCIS at IberLEF 2023: Detection of Aggressive and Violent Incidents from Social Media in Spanish.Horacio Jarquín-Vásquez, Delia Irazú Hernández-Farías, Luis Joaquín Arellano, Hugo Jair Escalante, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez, Fernando Sanchez-Vega. Procesamiento del Lenguaje Natural, Vol. 71, September 2023.
• IberLEF 2023 Overview: Natural Language Processing for Iberian Languages.Salud María Jiménez Zafra, Manuel Montes-y-Gómez, Francisco Rangel. IberLEF 2023. CEUR Workshop Proceedings, Vol. 3496. Jaén, Spain, September 2023.
• PropaLTL at DIPROMATS: Incorporating Contextual Features with BERT’s Auxiliary Input for Propaganda Detection on Tweets.Marco Casavantes, Manuel Montes-y-Gómez, Delia Irazú Hernández-Farías, Luis Carlos González and Alberto Barrón-Cedeño. IberLEF 2023. CEUR Workshop Proceedings, Vol. 3496. Jaén, Spain, September 2023.
• Deep Metric Learning for Effective Passage Retrieval in the BioASQ Challenge.Andrés Rosso-Mateus, León A. Muñoz-Serna, Manuel Montes-y-Gómez and Fabio A. González. CLEF 2023. CEUR Workshop Proceedings, Vol. 3497. Thessaloniki, Greece, September 2023.
• Propitter: a Twitter Corpus for Computational Propaganda Detection.Marco Casavantes, Luis C. González, Manuel Montes-y-Gómez, Alberto Barrón. 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023. Mérida, Mexico, November 2023. Lecture Notes in Computer Science, vol 14392. 2023.
• DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media.Mario Ezra Aragón, Luis C. González, Manuel Montes y Gómez, David Losada. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023, Toronto, Canada, July 2023.
• Improving the Identification of Abusive Language Through Careful Design of Pre-training Tasks. Horacio Jarquín-Vásquez, Hugo Jair Escalante, and Manuel Montes-y-Gómez. MCPR 2023, Lecture Notes in Computer Science, vol 13902, 2023.

2022

• Proceedings of the Iberian Languages Evaluation Forum, IberLEF 2022. Editors: Manuel Montes-y-Gómez, Julio Gonzalo, Francisco Rangel, Marco Casavantes, Miguel Ángel Álvarez-Carmona, Gemma Bel-Enguix, Hugo Jair Escalante, La-rissa Freitas, Antonio Miranda-Escalada, Francisco Rodríguez-Sánchez, Aiala Rosá, Marco Antonio Sobrevilla-Cabezudo, Mariona Taulé, Rafael Valencia-García. CEUR Workshop Proceedings, Vol. 3202, ISSN 1613-0073.
• Approaching what and how people with mental disorders communicate in social media: Introducing a multi-channel representation. Mario Ezra Aragón; A. Pastor López-Monroy; Luis C. González; Manuel Montes-y-Gómez. Neural Computing and Applications, vol. 34, 2022.
• Revealing traces of Depression through Personal Statements Analysis in Social Media. Rosa Ortega-Mendoza, Delia Irazú Hernández, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda. Journal of Artificial Intelligence in Medicine. Volume 123, January 2022.
• Depression Recognition in Social Media based on Symptoms’ Detection. Itzel Tlelo, Manuel Montes-y-Gómez, Hugo Jair Escalante. Procesamiento de Lenguaje Natural, Issue 68, Marzo 2022.
• Medical Report Generation through radiology images: An overview. Olanda Prieto, Graciela Ramírez-Alonso, Manuel Montes-y-Gómez, Roberto López. IEEE Latin America Transactions, vol. 20, No. 6, June 2022.
• Overview of DA-VINCIS at IberLEF 2022: Detection of Aggressive and Violent Incidents from Social Media in Spanish. Luis Joaquín Arellano, Hugo Jair Es-calante, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez, Fernando Sanchez-Vega. Procesamiento del Lenguaje Natural, Num 69, September 2022.
• Information fusion for mental disorders detection: multimodal BERT against fusioning multiple BERTs. Mario Ezra Aragón; A. Pastor López-Monroy; Luis C. González; Manuel Montes-y-Gómez. Procesamiento del Lenguaje Natural, Num 69, September 2022.
• A Semantic-Proximity Term-Weighting Scheme for Aspect Category Detection. Monserrat Vázquez, Luis Villaseñor Pineda, Manuel Montes-y-Gómez. Procesamiento del Lenguaje Natural, Num 69, September 2022.
• A Wide & Deep Learning Approach for Covid-19 Tweet Classification. Alberto Valdés Chávez, Jesús Roberto López Santillán, Manuel Montes-y-Gómez, Luis Carlos González Gurrola and Graciela Ramírez Alonso. MCPR 2022. Ciudad Juárez, Chihuahua, México, June 2022.
• We will know them by their style: Fake news detection based on masked n-grams. Jennifer Pérez-Santiago, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez. MCPR 2022. Ciudad Juárez, Chihuahua, México, June 2022.
• Does this tweet report an adverse drug reaction? An enhanced BERT-based method to identify drugs side effects in Twitter. José Alberto Fuentes, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez. MCPR 2022. Ciudad Juarez, Chihuahua, México, June 2022.
• OSLeD-wA: A One-Stage Lesion Detection Method with Attention Mechanisms. Graciela Ramirez-Alonso, Sebastian Rascón-Cervantes, Juan Ramirez-Quintana, Manuel Montes-y-Gómez, Roberto López-Santillan. MCPR 2022. Ciudad Juarez, Chihuahua, México, June 2022.
• Exploiting Affective-based Information for Profiling Ironic Users on Twitter. Delia Irazú Hernández-Farías, Manuel Montes-y-Gómez. Conference and Labs of the Evaluation Forum (CLEF 2022). CEUR Workshop Proceedings, Vol. 3180. Bologna, Italy, September 2022.
• Overview of IberLEF 2022: Natural Language Processing Challenges for Spanish and other Iberian Languages. Julio Gonzalo, Manuel Montes-y-Gómez, and Francisco Rangel. IberLEF 2022. CEUR Workshop Proceedings, Vol. 3202. La Coruña, Spain, September 2022.

2021

• Proceedings of the Iberian Languages Evaluation Forum, IberLEF 2021. Editors: Manuel Montes, Paolo Rosso, Julio Gonzalo, Mario Ezra Aragón, Rodrigo Agerri, Miguel Ángel Álvarez-Carmona, Elena Álvarez Mellado, Jorge Carrillo-de-Albornoz, Luis Chiruzzo, Larissa Freitas, Helena Gómez Adorno, Yoan Gutiérrez, Salud María Jiménez Zafra, Salvador Lima-López, Flor Miriam Plaza-de-Arco, Mariona Taulé. CEUR Workshop Proceedings, Vol. 2943, ISSN 1613-0073.
• A profile-based sentiment-aware approach for depression detection in social media. José de Jesús Titla-Tlatelpa, Rosa María Ortega-Mendoza, Manuel Montes-y-Gómez and Luis Villaseñor-Pineda. EPJ Data Science, vol 10:54, 2021.
• Depression and Anorexia Detection in Social Media as a One-Class Classification Problem. Juan Aguilera, Delia Irazú Hernández Farías, Rosa María Ortega-Mendoza, Manuel Montes-y-Gómez. Applied Intelligence, (2021) 51:6088–6103.
• Using Text Classification to Estimate the Depression Level of Reddit Users. Sergio Burdisso, Marcelo Errecalde, Manuel Montes. Journal of Computer Science & Technology. Volume 21, Number 1, April 2021.
• Overview of MeOffendEs at IberLEF 2021: Offensive Language Detection in Spanish Variants. Flor Miriam Plaza-del-Arco, Marco Casavantes, Hugo Jair Es-calante, M. Teresa Martín-Valdivia, Arturo Montejo-Ráez, Manuel Montes-y-Gómez, Horacio Jarquín-Vásquez, Luis Villaseñor-Pineda. Journal Procesamiento del Lenguaje Natural, vol. 67, 2021.
• Masking and Transformer-based Models for Stereotype Identification. Juan Javier Sánchez-Junquera, Paolo Rosso, Manuel Montes, Berta Chulvi. Journal Procesamiento del Lenguaje Natural, vol. 67, 2021.
• Detecting traces of self-harm in social media: A simple and interpretable approach. Juan Aguilera, Irazú Hernández-Farias, Manuel Montes-y-Gómez, Luis Carlos González. Mexican International Conference in Artificial Intelligence, MICAI 2021. Lecture Notes in Computer Science, vol. 13068. Springer 2021.
• IberLEF 2021 Overview: Natural Language Processing for Iberian Languages. Julio Gonzalo, Manuel Montes-y-Gómez, and Paolo Rosso. Iberian Languages Evaluation Forum (IberLEF 2021), CEUR Workshop Proceedings, Vol. 2943, September 2021.
• Deep Bag-of-Sub-Emotions for Depression Detection in Social Media. Juan S. Lara, Mario Ezra Aragón, Fabio A. González, Manuel Montes. 24th international conference on Text, Speech and Dialogue (TSD 2021). Lecture Notes in Artificial Intelligence, vol. 12848, pp. 60–72, Springer 2021.
• Masking and Transformer-based Models for Hyperpartisanship Detection in News. Javier Sánchez-Junquera, Paolo Rosso, Manuel Montes-y-Gómez, Simone Paolo Ponzetto. International Conference on Recent Advances in Natural Language Processing (RANLP-2021). Bulgaria, September 1-4, 2021.
• Self-Contextualized Attention for Abusive Language Identification. Horacio Jarquín, Hugo Jair Escalante, Manuel Montes-y-Gómez. Ninth International Workshop on Natural Language Processing for Social Media (SocialNLP 2021), at NAACL-HLT 2021. June 2021.
• Multimodal Weighted Fusion of Transformers for Movie Genre Classification. Isaac Bribiesca, Pastor López-Monroy, Manuel Montes-y-Gómez. Third Workshop on Multimodal Artificial Intelligence (MAI 2021), at NAACL-HLT 2021. June 2021.
• UACH at SMM4H: a BERT based approach for classification of COVID-19 Twitter posts. Alberto Valdés Chávez, Jesús Roberto López Santillán, Manuel Montes-y-Gómez. 6th Social Media Mining for Health Research and Applications Worskhop and Shared Tasks (SMM4H 2021), at NAACL-HLT 2021. June 2021.

2020

• Forensic Analysis Recognition A. Pastor López-Monroy, Hugo Jair Escalante, Manuel Montes-y-Gómez, Xavier Baró. In: Engineering Data-Driven Adaptive Trust-based e-Assessment Systems. Challenges and Infrastructure Solutions for Trust-based e-Assessment Systems. Lecture Notes in Data Engineering and Communication Systems, 34. Springer, 2020.
• Hacia la identificación automática de expresiones verbales fijas y su validación lingüística en notas periodísticas. Fernando Sánchez-Vega, Luis Villaseñor-Pineda, Luis Meneses-Lerin, Salah Mejri, Manuel Montes-y-Gómez, Ruth Salgado-Arroyo. In Analyser, écrire, traduire et enseigner les langues à l'ère du numérique, Editorial Comares, Granada, España, 2020.
• Tras la detección automática de depredadores sexuales en chats. Esaú Villatoro-Tello, Antonio Juárez Gonzáles, Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda. En: Aportes a la comprensión del comportamiento humano, Verónica Reyes Meza, J. Martín Castro Manzano, Luis Villaseñor Pineda, editores. 1a. Edición. Editorial Aula de Humanidades SAS, 2020.
• Special Section: CIARP 2018. Julian Fierrez,Aythami Morales,Ruben Vera-Rodriguez,Manuel Montes,Sergio A. Valentin. Pattern Recognition Letters. Volume 136, August 2020.
• Author Profiling in Social Media with Multimodal Information. Miguel A. Álvarez-Carmona, Esaú Villatoro-Tello, Manuel Montes-y-Gómez, Luis Vilaseñor-Pineda. Computación y Sistemas, Vol 24, No 3, 2020.
• Richer Document Embeddings for Author Profiling tasks based on a heuristic search. Roberto López-Santillán, Manuel Montes-y-Gómez, Luis Carlos Gon-zález-Gurrola, Graciela Ramírez-Alonso, Olanda Prieto-Ordaza. Information Processing & Management, Volume 57, Issue 4, July 2020.
• Masking domain-specific information for cross-domain deception detection. Javier Sánchez-Junquera, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez, Paolo Rosso, Efstathios Stamatatos. Pattern Recognition Letters, 135(2020), 122–130.
• From Neighbors to Strengths - The k-Strongest Strengths (k-SS) classification algorithm. Juan Aguilera, Luis C González, Manuel Montes-y-Gómez, Roberto López, Hugo J Escalante. Pattern Recognition Letters, 136 (2020), 301–308.
• Probabilistic vs Deep Learning based approaches for narrow domain NER in Spanish. Orlando Ramos, David Pinto, Manuel Montes. Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 2015-2025, 2020.
• Deep Fusion of Multiple Term-Similarity Measures for Biomedical Passage Retrieval. Andrés Rosso, Fabio González, Manuel Montes, Paolo Rosso. Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 2239-2248, 2020.
• Gated Multimodal Networks. John Arevalo, Thamar Solorio, Manuel Montes, Fabio González. Neural Computing and Applications, volume 32, pages 10209–10228, 2020.
• t-SS3: a Text Classifier with Dynamic N-Grams for Early Risk Detection over Text Streams. Sergio Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez. Pattern Recognition Letters. Volume 138, October 2020.
• A Deep Metric Learning Method for Biomedical Passage Retrieval. Andrés Rosso, Fabio González, Manuel Montes. Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020. Barcelona, Spain (Online), December 8-13, 2020.
• Brain Tumor Segmentation using an Encoder-Decoder Network with a Multiscale Feature Module. Olanda Prieto-Ordáz, Graciela Ramírez-Alonso, Luis C. González, Roberto López-Santillán, Manuel Montes-y-Gómez. 2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2020). xtapa, Mexico (online), November 2020.
• Automatic Detection of Offensive Language in Social Media: Defining Linguistic Criteria to build a Mexican Spanish Dataset. María José Díaz-Torres, Paulina Alejandra Morán-Méndez, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez, Juan Aguilera and Luis Meneses-Lerín. The Second Workshop on Trolling, Aggression & Cyberbullying, at LREC 2020. Marseille, France, May 2020.
• Not All Swear Words Are Used Equal: Attention over Word n-grams for Abusive Language Identification. Horacio Jesús Jarquín-Vásquez, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda. Mexican Conference on Pattern Recognition (MCPR 2020), LNCS 12088, 2020.
• Attention to Emotions: Detecting Mental Disorders in Social Media. Mario Ezra Aragón, Adrián Pastor López-Monroy, Luis Carlos González-Gurrola and Manuel Montes-y-Gómez. 23rd International Conference on Text, Speech and Dialogue (TSD 2020). Brno, Czech Republic, September 2020. LNAI 12284, pp. 231–239, 2020.
• Identificación y pesado de términos para la detección de depresión en Twitter. Monserrat Vázquez-Hernández, Luis Villaseñor-Pineda and Manuel Montes-y-Gómez. XII Congreso Mexicano de Inteligencia Artificial (COMIA 2020). Ciudad Juárez, Chihuahua, Mexico, August 2020.
• Usando representaciones distribuidas para el análisis de técnicas propagandísticas en noticias falsas. Jennifer Pérez Santiago, Luis Villaseñor-Pineda and Manuel Montes-y-Gómez. XII Congreso Mexicano de Inteligencia Artificial (COMIA 2020). Ciudad Juárez, Chihuahua, Mexico, August 2020.

2019

• La Investigación en México sobre Tecnologías del Lenguaje. Hiram Calvo, Noé A. Castro Sánchez, Alexander Gelbukh, Yasmín Hernández Pérez, Héctor Jiménez Salazar, Manuel Montes y Gómez, Luis Alberto Pineda Cortés, David Pinto Avendaño, Fernando Sánchez Vega, Grigori Sidorov, Luis Villaseñor Pineda. Capítulo 3, Panorama de las Tecnologías del Lenguaje en México. Academia Mexicana de Computación, A. C. Segunda Edición, 2019.
• Identificación del perfil de autores: un enfoque multidisciplinario que se enriquece de hallazgos psicológicos. Rosa María Ortega-Mendoza, Anilú Franco-Árcega, Manuel Montes-y-Gómez. En: MADIC. A cinco años de su creación: pasado, presente y futuro. Martínez De la Peña, Gloria Angélica, Villatoro Tello, Esaú, Eds. UAM, primera edición, 2019.
• A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams. Sergio Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez. Expert Systems With Applications, Vol. 133, pp. 182–197, 2019.
• Exploiting label semantic relatedness for unsupervised image annotation with large free vocabularies. Luis Pellegrin, Hugo Jair Escalante, Manuel Montes, Fabio A. González. Multimedia Tools and Applications, Volume 78, Is-sue 14, pp 19641–19662, July 2019.
• Novel Distributional Visual-Feature Representations for Image Classification. Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Fabio A. González. Multimedia Tools and Applications. Volume 78, Issue 9, pp 11313–11336, May 2019.
• A Comparative Analysis of Distributional Term Representations for Author Profiling in Social Media. Miguel Ángel Álvarez-Carmona, Esaú Villatoro-Tello, Manuel Montes-y-Gómez and Luis Villaseñor-Pineda. Journal of Intelligent & Fuzzy Systems, vol. 36, no. 5, pp. 4857-4868, 2019.
• Online Hate Speech against Women: Automatic Identification of Misogyny and Sexism on Twitter. Simona Frenda, Bilal Ghanem, Ma-nuel Montes-Y-Gómez and Paolo Rosso. Accepted to Journal of Intelligent & Fuzzy Systems, vol. 36, no. 5, pp. 4743-4752, 2019.
• Paraphrase Plagiarism Identification with Character-level Features. Fernando Sánchez-Vega, Esaú Villatoro-Tello, Manuel Montes-y-Gómez, Paolo Rosso, Efstathios Stamatatos, Luis Villaseñor-Pineda. Pattern Analysis and Applications. Volume 22, Issue 2, pp 669–681, May 2019.
• Identificación del perfil de autores en redes sociales usando nuevos esquemas de pesado que enfatizan información de tipo personal: resumen de tesis doctoral. Rosa María Ortega, Anilú Franco, Manuel Montes-y-Gómez. Computación y Sistemas, Vol. 23, No. 2, 2019.
• Cross-cultural image-based author profiling in Twitter. Ivan Feliciano, Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Villaseñor. 18th Mexican International Conference in Artificial Intelligence, MICAI 2019. Lecture Notes in Computer Science, vol 11835. Springer, 2019.
• Crosslingual Depression Detection in Twitter using Bilingual Word Alignment. Laritza Coello-Guilarte, Rosa María Ortega-Mendoza, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda. Proceedings of the Tenth International Conference of the CLEF Association (CLEF 2019). Lecture Notes in Computer Science (LNCS), vol. 11696, Springer 2019.
• Jointly Learning Author and Annotated Character N-gram Embeddings: A Case Study in Literary Texts. Suraj Maharjan, Manuel Montes, Fabio A. González and Thamar Solorio. RANLP 2019. Varna, Bulgaria, September 2019.
• Exploring the use of Psycholinguistic Information in Author Profiling. Irazú Hernández-Farias, Rosa María Ortega-Mendoza, Manuel Montes-y-Gómez.. Mexican Conference on Pattern Recognition (MCPR 2019). Querétaro, Mexico, June 26-29, 2019. Lecture Notes in Compurer Science, Vol. 11524, 2019.
• Detecting Metal Health Disorders in Social Media using Fine-Grained Emotions. Ezra Aragón, Pastor López-Monroy, Manuel Montesy-Gómez, Luis Carlos González. 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HTL 2019). Minneapolis, Minnesota, June 2-7, 2019.
• Towards Measuring the Severity of Depression in Social Media via Text Classification. Sergio G. Burdisso, Marcelo Errecalde, and Manuel Montes-y-Gómez. XXV Congreso Argentino de Ciencias de la Computación. Río Cuarto, Argentina, October 2019.
• Overview of the Task on Irony Detection in Spanish Variants. Reynier Ortega-Bueno, Francisco Rangel, Delia Irazú Hernández Farías, Paolo Rosso, Manuel Montes-y-Gómez, José Medina-Pagol. Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019). Bilbao, Spain, September 2019.
• Overview of MEX-A3T at IberLEF 2019: Authorship and Aggressiveness Analysis in Mexican Spanish Tweets. Mario Ezra Aragón, Miguel Álvarez-Carmona, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor-Pineda, Daniela Moctezuma. Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019). Bilbao, Spain, September 2019.
• UACh-INAOE at HASOC 2019: Detecting Aggressive Tweets by Incorporating Authors' Traits as Descriptors. Marco Casavantes, Roberto López, Luis Carlos González-Gurrola, and Manuel Montes-y-Gómez. Working Notes of FIRE 2019 - Forum for Information Retrieval Evaluation. Kolkata, India, December 2019.
• INAOE-CIMAT at eRisk 2019: Detecting Signs of Anorexia using Fine-Grained Emotions. Mario Ezra Aragón, A. Pastor López-Monroy, and Manuel Montes-y-Gómez. Working Notes of CLEF 2019. Lugano, Switzerland, September 2019.
• UNSL at eRisk 2019: a Unified Approach for Anorexia, Self-harm and Depression Detection in Social Media. Sergio Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez. Working Notes of CLEF 2019. Lugano, Switzerland, September 2019.
• LTL-INAOE’s Participation at eRisk 2019: Detecting Anorexia in Social Media through Shared Personal Information. Rosa María Ortega-Mendoza, Delia Irazú Hernández Farías, and Manuel Montes-y-Gómez. Working Notes of CLEF 2019. Lugano, Switzerland, September 2019.
• An evolutionary approach to build user representations for profiling of bots and humans in Twitter. Roberto López-Santillán, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez, Graciela Ramírez-Alonso, and Olanda Prieto-Ordaz. Working Notes of CLEF 2019. Lugano, Switzerland, September 2019.
• Bots and gender profiling using masking techniques. Notebook for PAN at CLEF 2019. Víctor Jiménez-Villar, Javier Sánchez-Junquera, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda, Simone Paolo Ponzetto. Working Notes of CLEF 2019. Lugano, Switzerland, September 2019.
• A Mixed Information Source Approach for Biomedical Question Answering: MindLab at BioASQ 7B. Mónica Pineda, Andrés Rosso, Fabio González, Manuel Montes. Challenge on large-scale biomedical semantic indexing and question answering (BioASQ 2019). Würzburg, Germany, September 2019.

  2018

  • A visual approach for age and gender identification on Twitter. Miguel A. Álvarez-Carmona, Luis Pellegrin, Manuel Montes-y-Gómez, Fernando Sánchez-Vega, Hugo Jair Escalante, A. Pastor López-Monroy, Luis Villaseñor-Pineda and Esaú Villatoro-Tello. Journal of Intelligent and Fuzzy Systems, vol. 34, no. 5, pp. 3133-3145, 2018. DOI: 10.3233/JIFS-169497.
  • Semantically-informed distance and similarity measures for paraphrase plagiarism identification. Miguel A. Álvarez-Carmona, Marc Franco-Salvador, Manuel Montes-y-Gómez, Paolo Rosso, Luis Villaseñor-Pineda, Esaú Villatoro-Tello. Journal of Intelligent and Fuzzy Systems, vol. 34, no. 5, pp. 2983-2990, 2018. DOI: 10.3233/JIFS-169483.
  • Query-oriented Text Summarization Based on Multiobjective Evolutionary Algorithms and Word Embeddings. Yanet Fors Isalguez, Jorge Hermosillo Valadez and Manuel Montes-y-Gómez. Journal of Intelligent and Fuzzy Systems, vol. 34, no. 5, pp. 3235-3244, 2018.
  • Emphasizing Personal Information for Author Profiling: New Approaches for Term Selection and Weighting. Rosa María Ortega, Adrián Pastor López-Monroy, Anilú Franco, Manuel Montes-y-Gómez. Knowledge-Based Systems. Volume 145, 1 April 2018, Pages 169-181.
  • Equivalences between polarity algorithms. Jesús Lavalle, Manuel Montes, Luis Villaseñor, Héctor Jiménez and Everardo Bárcenas. Studia Logica. Volume 106, Issue 2, pp 371–395, April 2018.
  • A Genetic Programming Approach to Score Driving Behavior in the Context of Intelligent Transportation Systems. Jesús R. Lopez, Luis C. González, Manuel Montes y Gómez, Leonardo Trujillo, Graciela Ramírez. IEEE Sensors Journal. Volume 18, Issue 17, September 2018.
  • Automatic Theorem Proving for Natural Logic: a Case Study on Textual Entailment. Jesús Lavalle, Manuel Montes, Héctor Jiménez, Luis Villaseñor, and Beatriz Beltrán. Computación y Sistemas, Vol. 22, No. 1, 2018, pp. 119–135.
  • A Prospect-Guided Global Query Expansion Strategy Using Word Embeddings. Francis de la Caridad Fernández-Reyes, Jorge Hermosillo-Valadez, Manuel Montes-y-Gómez. Information Processing and Management, Volume 54, Issue 1, January 2018.
  • Genre Aware Attention Model to Improve the Likability Prediction of Books. Suraj Maharjan, Manuel Montes, Fabio A. González and Thamar Solorio. EMNLP 2018. Brussels, Belgium, November 2018.
  • A Knowledge-based Weighted kKNN for Detecting Irony in Twitter. Delia Irazu Hernandez Farias, Manuel Montes-y-Gómez, Hugo Jair Escalante, Paolo Rosso and Viviana Patti. 17th Mexican International Conference on Artificial Intelligence (MICAI 2018). Guadalajara, Jalisco, Mexico, October 2018.
  • A New Weighted K-Nearest Neighbor Algorithm based on Newton's Gravitational Force. Juan Antonio Aguilera Balderrama, Luis Carlos González Gurrola, Manuel Montes Y Gómez and Paolo Rosso. CIARP 2018. Madrid, Spain, October 2018.
  • Predicting academic-challenge success from competition proposals. Dante Lopez, Hugo Jair Escalante, Luis Villaseñor-Pineda, Eduardo Morales and Manuel Montes-y-Gómez. CIARP 2018. Madrid, Spain, October 2018.
  • MindLab Neural Network Approach at BioASQ 6B. Andrés Rosso-Mateus, Fa-bio A. González, Manuel Montes-y-Gómez. 6th BioASQ Workshop, at EMNLP 2018. Brussels, Belgium, October 2018.
  • Character N-grams for Detecting Deceptive Controversial Opinions. Juan Javier Sánchez-Junquera, Luis Villaseñor-Pineda, Manuel Montes-Y-Gómez and Paolo Rosso. International Conference of the Cross-Language Evaluation Forum for European Languages. LNCS, volume 11018. Avignon, France. September 2018.
  • Early Text Classification using Multi-Resolution Concept Representations. Pastor López-Morroy, Hugo Jair Escalante, Manuel Montes, Fabio González, Thamar Solorio. Proceedings of NAACL-HLT 2018, New Orleans, Louisiana, June 2018.
  • Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books. Suraj Maharjan, Manuel Montes, Fabio A. González and Thamar Solorio. Proceedings of NAACL-HLT 2018, New Orleans, Louisiana, June 2018.
  • Learning When to Classify for Early Text Classification. Juan Martín Loyola, Marcelo Luis Errecalde, Hugo Jair Escalante, and Manuel Montes y Gomez. 23rd Argentine Congress in Computer Science (CACIC 2017). Revised Selected Papers. Communications in Computer and Information Science (CCIS), Vol. 790, pp. 24–34, Springer 2018.
  • Automatic Expansion of Lexicons for Multilingual Misogyny Detection. Simona Frenda, Bilal Ghanem, Estefanı́a Guzmán-Falcón and Manuel Montes-y-Gómez, Luis Villaseñor-Pineda. 5th Italian Conference on Computational Linguistics (CLiC-it 2018), EVALITA reports, Track on Automatic Misogyny Identification. Turin, Italy, December 10-12, 2018.
  • Exploration of Misogyny in Spanish and English Tweets. Simona Frenda, Bilal Ghanem, and Manuel Montes-y-Gómez. Proceedings of the Third Workshop on Evaluation of Human Language Technologies for Iberian Languages (IberEval 2018). Track 5: Automatic Misogyny Identification (AMI). Sevilla, Spain, September 2018.
  • Overview of MEX-A3T at IberEval 2018: Authorship and Aggressiveness Analysis in Mexican Spanish Tweets. Miguel Á. Álvarez-Carmona, Estefanía Guzmán-Falcón, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor-Pineda, Verónica Reyes-Meza, Antonio Rico-Sulayes. Proceedings of the Third Workshop on Evaluation of Human Language Technologies for Iberian Languages (IberEval 2018). Track 2: Authorship and aggressiveness analysis in Twitter: case study in Mexican Spanish (MEX-A3T). Sevilla, Spain, September 2018.
  • Overview of the 6th Author Profiling Task at PAN 2018: Multimodal Gender Identification in Twitter. Francisco Rangel, Paolo Rosso, Manuel Montes-y-Gómez, Martin Potthast, Benno Stein. Working Notes of CLEF 2018. Avignion, France, September 2018.
  • UNSL's participation at CLEF 2018: Early risk prediction on the Internet. Dario G. Funez, María José Garciarena Ucelay, María Paula Villegas, Sergio Bur-disso, Leticia Cagnina, Manuel Montes-y-Gómez and Marcelo Errecalde. Work-ing Notes of CLEF 2018. Avignion, France, September 2018.
  • PEIMEX at eRisk2018: Emphasizing personal information for depression and anorexia detection. Rosa María Ortega-Mendoza, Adrián Pastor Lopez-Monroy, Anilu Franco-Arcega and Manuel Montes-y-Gómez. Working Notes of CLEF 2018. Avignion, France, September 2018.
  • UPV-INAOE - Check That: An Approach based on External Sources to Detect Claims Credibility. Bilal Ghanem, Manuel Montes-Y-Gómez, Francisco Rangel and Paolo Rosso. Working Notes of CLEF 2018. Avignion, France, September 2018.
  • UPV-INAOE - Check That: Preliminary Approach for Checking Worthiness of Claims. Bilal Ghanem, Manuel Montes-Y-Gómez, Francisco Rangel and Paolo Rosso. Working Notes of CLEF 2018. Avignion, France, September 2018.
  • INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter. Delia Irazúu Hernández Farías, Fernando Sánchez-Vega, Manuel Montes-y-Gómez, Paolo Rosso. Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018), New Orleans, LA, USA, June 2018.

  2017

  • Early Detection of Deception and Aggressiveness with Concise Semantic Analysis. Hugo Jair Escalante, Esaú Villatoro-Tello, Sara E. Garza Villareal, Pastor López-Monroy, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda. Expert Systems with Applications, Volume 89, Pages 99-111. December 2017.
  • Thematic Issue on Authorship Analysis. Manuel Montes and Luis Villaseñor (Guest editors). Computación y Sistemas, Vol. 21, No. 2, 2017.
  • Local and Global approaches for Unsupervised Image Annotation. Luis Pellegrin, Hugo Jair Escalante, Manuel Montes-y-Gómez, Fabio A. González. Multimedia Tools and Applications, Volume 76, Issue 15, August 2017.
  • MOPG: a multi-objective evolutionary algorithm for prototype generation. Hugo Jair Escalante, Maribel Marin-Castro, Alicia Morales-Reyes, Mario Graff, Alejandro Rosales-Pérez, Manuel Montes-y-Gómez, Carlos A. Reyes, Jesús A. González. Pattern Analysis and Applications. February 2017, Volume 20, Issue 1, pp 33–47.
  • A Two-Step Neural Network Approach to Passage Retrieval for Open Domain Question Answering. A. Rosso, F. Gonzalez, M. Montes. 22nd Iberoamerican Congress on Pattern Recognition (CIARP 2017). Valparaíso, Chile, November 2017.
  • A Flexible Framework for the Evaluation of Unsupervised Image Annotation. Pellegrin, H. Escalante, M. Montes, F. Gonzalez, M. Villegas. 22nd Iberoamerican Congress on Pattern Recognition (CIARP 2017). Valparaíso, Chile, November 2017.
  • A Shallow Convolutional Neural Network Architecture for Open Domain Question Answering. Andrés Rosso, Fabio A. González, Manuel Montes. CCC 2017. Communications in Computer and Information Science, vol 735. Springer, 2017.
  • Convolutional Neural Networks for Author Profiling in PAN 2017. Sebastian Sierra, Manuel Montes-y-Gómez, Thamar Solorio, and Fabio A. González. Notebook for PAN at CLEF 2017. Dublin, Irleand, September 2017.
  • Social-Media Users can be profiled by their Similarity with other Users. Adrián Pastor Lopez-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor-Pineda and Thamar Solorio. Notebook for PAN at CLEF 2017. Dublin, Irleand, September 2017.
  • UACH-INAOE participation at eRisk2017. Alan Alexis Farias-Anzaldua, Manuel Montes-Y-Gómez, Adrián Pastor Lopez-Monroy and Luis Carlos González-Gurrola. Notebook for eRisk at CLEF 2017. Dublin, Irleand, September 2017.
  • Detección del Engaño en Notas de Opinión a través de Técnicas Tradicionales de Clasificación Automática de Textos. J. Javier Sánchez-Junquera, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez and Hugo Jair Escalante. Noveno Congreso Mexicano de Inteligencia Artificial (COMIA 2017). Toluca, Mexico, May 2017.
  • Gated Multimodal Units for Information Fusion. John Arevalo, Thamar Solorio, Manuel Montes-y-Gómez, Fabio A. González. 5th International Conference on Learning Representations ICLR 2017, Workshop Track. Toulon, France, April 2017.
  • A Multi-task Approach to Predict Likability of Books. Suraj Maharjan, John Are-valo, Manuel Montes, Fabio A. González and Thamar Solorio. European Chap-ter of the Association for Computational Linguistics (EACL 2017). Valencia, 3-7 April 2017.
  • Convolutional Neural Networks for Authorship Attribution of Short Texts. Prasha Shrestha, Sebastian Sierra, Fabio Gonzalez, Manuel Montes, Paolo Rosso and Thamar Solorio. European Chapter of the Association for Computational Linguistics (EACL 2017). Valencia, 3-7 April 2017.

  2016

  • Proceedings of the 15th Ibero-American Conference on AI (IBERAMIA 2016). Editors: Manuel Montes y Gómez, Hugo Jair Escalante, Alberto Segura, Juan de Dios Murillo. Lecture Notes in Artificial Intelligence, Volume 10022, Springer 2016. ISBN: 978-3-319-47954-5 (Print) 978-3-319-47955-2 (Online).
  • A systematic study of knowledge graph analysis for cross-language plagiarism detection. Marc Franco-Salvador,Paolo Rosso, Manuel Montes-y-Gómez. Information Processing and Management, Volume 52, Issue 4, July 2016.
  • On improving the Bag-of-Visual Words Integrating Discriminative Visual N-Grams through MKL Strategies. A. Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Angel Cruz-Roa, Fabio A. González. Neurocomputing, Volume 175, January 2016.
  • PAN at FIRE: Overview of the PR-SOCO Track on Personality Recognition in SOurce COde. Francisco Rangel, Fabio González, Felipe Restrepo, Manuel Montes, Paolo Rosso. In: Notebook Papers of FIRE 2016, FIRE-2016, Kol-kata, India, December 7-10, CEUR Workshop Proceedings. CEUR-WS.org, vol. 1737, pp. 1-5.
  • Evaluating topic-based representations for author profiling in social media. Miguel A. Álvarez-Carmona, A. Pastor López-Monroy, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda, and Iván Meza. 15th Ibero-American Conference on AI (IBERAMIA 2016). San José, Costa Rica, November 23-25, 2016 Lecture Notes in Artificial Intelligence, Volume 10022, Springer 2016.
  • Enhancing Semi-Supevised Text Classification using Document Summaries. Esaú Villatoro-Tello, Emmanuel Anguiano, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda, and Gabriela Ramírez-de-la-Rosa. 15th Ibero-American Conference on AI (IBERAMIA 2016). San José, Costa Rica, November 23-25, 2016 Lecture Notes in Artificial Intelligence, Volume 10022, Springer 2016.
  • I, me, mine: the Role of Personal Phrases in Author Profiling. Rosa María Ortega-Mendoza, Anilú Franco-Arcega, Adrián Pastor López-Monroy and Manuel Montes-y-Gómez. 7th International Conference of the CLEF Association (CLEF 2016), Évora, Portugal, September 2016. Lecture Notes in Computer Science, Volume 9822, Springer, 2016.
  • A two-step retrieval method for Image Captioning. Luis Pellegrin, Jorge A. Vanegas, John Arevalo, Viviana Beltrán, Hugo Jair Escalante, Manuel Montes-y-Gómez, and Fabio A. González. 7th International Conference of the CLEF Association (CLEF 2016). Évora, Portugal, September 2016. Lecture Notes in Computer Science, Volume 9822, Springer, 2016.
  • INAOE's participation at ImageCLEF 2016: Text Illustration Task. Luis Pellegrin, A. Pastor López-Monroy, Hugo Jair Escalante and Manuel Montes-y-Gómez. 7th International Conference of the CLEF Association (CLEF 2016), Évora, Portugal, September 5-8, 2016.
  • ¡Desenmascarando estudiantes impostores a distancia!. Hugo Jair Escalante, Manuel Montes y Gomez. Crónica.com.mx.
  • Early text classification: A Naïve Solution. Hugo Jair Escalante, Manuel Montes y Gomez, Luis Villaseñor and Marcelo Luis Errecalde. 7th Workshop on Com-putational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA 2016). 16th June 2016, San Diego, California, U.S.A.
  • Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning. Upendra Sapkota, Thamar Solorio, Manuel Montes and Steven Bethard. Annual Meeting of the Association for Computational Linguistics (ACL 2016). Berlin, Germany. August, 2016.

  2015

  • Discriminative Subprofile-Specific Representations for Author Profiling in Social Media. A. Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor-Pineda, Efstathios Stamatatos. Knowledge Based Systems. Volume 89, November 2015, Pages 134–147.
  • Detection of Positive and Negative Deceptive Opinions with PU-learning. Donato Hernández Fusilier, Rafael Guzmán Cabrera, Manuel Montes-y-Gómez, Paolo Rosso. Information Processing and Management. Vol. 51, june 2015, pp. 433-443.
  • Term-Weighting Learning via Genetic Programming for Text Classification. Hugo Jair Escalante, Mauricio García-Limón, Alicia Morales-Reyes, Mario Graff, Manuel Montes-y-Gómez, Eduardo Morales. Knowledge Based Systems, Volume 83, July 2015, Pages 176–189.
  • Sentiment Analysis for Reviews in Spanish: Algorithm for Handling the Negation. Samara Gretel Villalba-Osornio, Juan Andrés Pérez-Celis, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez. Research in Computing Science, Issue 97, October 2015.
  • The Role of n-grams in Firstborns Identification. Gabriela Ramirez de la Rosa, Verónica Reyes-Meza, Esaú Villatoro-Tello, Héctor Jiménez, Manuel Montes, Luis Villaseñor. 14 Mexican International Conference on Artificial Intelligence, MICAI 2015. Cuernavaca, Mexico, Octoboer 2015.
  • INAOE-UNAL at ImageCLEF 2015: Scalable Concept Image Annotation. Luis Pellegrin, Jorge A. Vanegas, John Arevalo, Viviana Beltrán, Hugo Jair Escalante, Manuel Montes-Y-Gómez and Fabio Gonzalez. CLEF 2015 Working Notes. Toulouse, France, September 2015.
  • INAOEs participation at PAN-15: Author Profiling task. Miguel Ángel Álvarez Carmona, Adrían Pastor López Monroy, Manuel Montes Y Gómez, Luis Villaseñor Pineda and Hugo Jair Escalante. CLEF 2015 Working Notes. Toulouse, France, September 2015.
  • Not All Character N-grams Are Created Equal: A Study in Authorship Attribution. Upendra Sapkota, Steven Bethard, Manuel Montes and Thamar Solorio. 2015 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL-HLT 2015). Denver, Colorado, USA, June 2015.
  • Detection of Opinion Spam with Character N-grams. Donato Hernández, Ma-nuel Montes, Paolo Rosso, Rafael Guzmán. 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015. Lecture Notes in Computer Science, Volume 9042, Springer 2015.

  2014

  • Evaluating Term-Expansion for Unsupervised Image Annotation. Luis Pellegrin, Hugo Jair Escalante, Manuel Montes-y-Gómez. 13 Mexican International Conference on Artificial Intelligence, MICAI 2014. Tuxtla Gutiérrez, Chiapas, Mexico. November 2014.
  • Content and Style Features for Automatic Detection of Users' Intentions in Tweets. Helena Gómez-Adorno, David Pinto, Manuel Montes, Grigori Sidorov, and Rodrigo Alfaro. 14th edition of the Ibero-American Conference on Artificial Intelligence, IBERAMIA 2014. Santiago de Chile, November 24-27, 2014.
  • Using Intra-Profile Information for Author Profiling. A. Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, and Luis Villaseñor-Pineda. 11th evaluation lab on uncovering plagiarism, authorship, and social software misuse, PAN 2014. Sheffield, UK, on September 15-18, 2014.
  • Fusing Affective Dimensions and Audio-Visual Features from Segmented Video for Depression Recognition. INAOE-BUAP’s Participation at AVEC’14 Challenge. Humberto Pérez, Hugo Jair Escalante, Luis Villaseñor, David Pinto, Verónica Reyes. AVEC’14 Challenge, at ACM-Multimedia 2014. Orlando, Florida, USA, November 7, 2014.
  • Cross-Topic Authorship Attribution: Will Out-Of-Topic Data Help?. Upendra Sapkota, Thamar Solorio, Manuel Montes, Steven Bethard and Paolo Rosso. 25th International Conference on Computational Linguistics, COLING 2014. Dublin, Ireland, August, 2014.
  • Towards the Automated Generation of Term-Weighting Schemes for Text Categorization. Mauricio Garcia, Hugo J. Escalante, Manuel Montes, Alicia Morales, Eduardo Morales. Late Breaking Abstracts Workshop. The Genetic and Evolutionary Computation Conference, GECCO 2014. Vancouver, Canada, July 2014.
  • Object Recognition with Naive Bayes-NN via Prototype Generation. Hugo Jair Escalante, Mauricio Sotomayor, Manuel Montes, and A., Pastor Lopez-Monroy. 6th Conference on Pattern Recognition, MCPR 2014. Cancún, México, June 2014.
  • Image Classification through Text Mining techniques: a Research Proposal. A. Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, and Fabio A. González. Postgraduate Students' Meeting. 6th Conference on Pattern Recognition, MCPR 2014. Cancún, México, June 2014.
  • Tus Mensajes Dicen Más de lo que Crees. Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Villaseñor. Saberes y Ciencias. El suplemento mensual de La Jornada de Oriente, pp. 10, Febrero 13, 2014.

  2013

  • A document is known by the company it keeps: Neighborhood consensus for short text categorization. Gabriela Ramírez-de-la-Rosa, Manuel Montes-y-Gómez, Thamar Solorio, Luis Villaseñor-Pineda. Journal of Language Resources and Evaluation. Vol. 47, Issue 1, March 2013.
  • Determining and Characterizing the Reused Text for Plagiarism Detection. Fernando Sanchez, Esaú Villatoro, Manuel Montes, Luis Villaseñor, Paolo Rosso. Expert Systems with Applications. Volume 40, Issue 5, April 2013.
  • Multimodal Markov Random Field for Image Re-ranking based on Relevance Feedback. Ricardo Omar Chávez, Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Enrique Sucar. ISRN Machine Vision. Volume 2013, February 2013.
  • Improving Image Retrieval by using Spatial Relations. Carlos Hernández-Gracidas, L. Enrique Sucar, Manuel Montes-y-Gómez. Journal on Multimedia Tools and Applications. Volume 62, Issue 2, January 2013.
  • Entendiendo el lenguaje natural: El reconocimiento de la implicación textual y su aplicación a la validación de respuestas. Alberto Téllez Valero, Manuel Montes y Gómez y Luis Villaseñor Pineda. Inteligencia en computadoras y en robots. José Negrete (coord.). Editorial de la Universidad Veracruzana. 2013. ISBN 978-607-502-247-1.
  • Bag-of-Visual N-grams for Histopathology Image Categorization. Pastor Monroy, Hugo Jair Escalante, Manuel Montes, Angel Cruz, Fabio González. 9th International Seminar on Medical Information Processing and Analysis (SIPAIM 2013). Mexico City, Mexico, November 2013.
  • INAOE’s participation at PAN’13: Author Profiling task. Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor-Pineda, and Esaú Villatoro-Tello. Notebook for PAN at CLEF 2013. Valencia, España, September 2013.
  • Author Profiling for English and Spanish Text. Upendra Sapkota, Thamar Solorio, Manuel Montes-y-Gómez, Gabriela Ramírez-de-la-Rosa. Notebook for PAN at CLEF 2013. Valencia, España, September 2013.
  • Exploring word class n-grams to measure language development in children. Gabriela Ramírez, Thamar Solorio, Manuel Montes-y-Gómez, Yang Liu, Aquiles Iglesias, Lisa Bedore and Elizabeth Peña. Twelfth Workshop on Biomedical Natural Language Processing (BIoNLP 2013). Sofia, Bulgaria. August 8-9, 2013.
  • Using PU-Learning to Detect Deceptive Opinion Spam. Donato Hernández, Rafael Gúzman, Manuel Montes, Paolo Rosso. 4th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA 2013), at NAACL 2013. Atlanta, Georgia, July 2013.
  • Sexual Predator Detection in Chats with Chained Classifiers. Hugo Jair Escalante, Antonio Juárez-González, Esau Villatoro-Tello, Manuel Montes-y-Gómez and Luis Villaseñor-Pineda. 4th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA 2013), at NAACL 2013. Atlanta, Georgia, July 2013.
  • INAOE_UPV-CORE: Extracting Word Associations from Document Corpora to estimate Semantic Textual Similarity. 10. Fernando Sánchez-Vega, Manuel Montes-y-Gómez, Paolo Rosso, Luis Villase-ñor-Pineda. Second Joint Conference on Lexical and Computational Semantics (*SEM). Atlanta, Georgia, July 2013.
  • The Use of Orthogonal Similarity Relations in the Prediction of Authorship. Upendra Sapkota, Thamar Solorio, Manuel Montes, Paolo Rosso. 14th Interna-tional Conference on Intelligent Text Processing and Computational Linguistics, CICLING 2013. Samos, Greece. March 2013.
  • Distributional term representations for short text categorization. Juan Manuel Cabrera, Hugo Jair Escalante, Manuel Montes-y-Gómez. 14th International Conference on Intelligent Text Processing and Computational Linguistics, CI-CICLING 2013. Samos, Greece. March 2013.

  2012

  • Multi-class Particle Swarm Model Selection for Automatic Image Annotation. Hugo Jair Escalante, Manuel Montes, Enrique Sucar. Expert Systems With Applications. Volume 39, Issue 12, 15 September 2012.
  • Acute Leukemia Classification by Ensemble Particle Swarm Model Selection. Hugo Jair Escalante, Manuel Montes-y-Gómez, Leopoldo Altamirano, Jesús Antonio González, Pilar Gómez-Gil, Carolina Reta, Carlos A Reyes, Alejandro Rosales. Journal of Artificial Intelligence in Medicine, Volume 55, Issue 3, July 2012, Pages 163–175.
  • Document Ranking Refinement Using a Markov Random Field Model. Esaú Villatoro, Antonio Juárez, Manuel Montes, Luis Villaseñor, L. Enrique Sucar. Journal of Natural Language Engineering. volume 18, issue 02, pp. 155-185.
  • Semantic Cohesion for image annotation and retrieval(Extended abstract of PhD Thesis). Hugo Jair Escalante, Enrique Sucar, Manuel Montes. Computación y Sistemas, Vol. 16, No. 1, January-March, 2012.
  • Multimodal Indexing based on Semantic Cohesion for Image Retrieval. Hugo Jair Escalante, Manuel Montes, Enrique Sucar. Information Retrieval. Vol. 15, Num. 1, January 2012.
  • On the Use of PU Learning for Quality Flaw Prediction in Wikipedia. Edgardo Ferretti, Donato Hernández Fusilier, Rafael Guzmán Cabrera, Manuel Montes y Gómez, Marcelo Errecalde, and Paolo Rosso. Workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse, PAN 2012. Rome, Italy, September 2012.
  • Optimized Fuzzy Text Alignment for Plagiarism Detection. Fernando Sánchez-Vega, Manuel Montes-Y-Gómez and Luis Villaseñor-Pineda. Workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse, PAN 2012. Rome, Italy, September 2012.
  • A Two-step Approach for Effective Detection of Misbehaving Users in Chats. Esaú Villatoro-Tello, Antonio Juárez-González, Hugo Jair Escalante, Manuel Montes-Y-Gómez and Luis Villaseñor-Pineda. Workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse, PAN 2012. Rome, Italy, September 2012.
  • A New Document Author Representation for Authorship Attribution. Adrián Pastor López-Monroy, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda, Jesús Ariel Carrasco-Ochoa, and José Fco. Martínez-Trinidad. 4th Mexican Congress on Pattern Recognition (MCPR 2012). Huatulco, Mexico, June 2012. Lecture Notes in Computer Science 7329 Springer 2012.

  2011

  • Learning to Select the Correct Answer in Multi-Stream Question Answering. Alberto Téllez-Valero, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda, Anselmo Peñas-Padilla. Information Processing and Management, Vol. 47, Issue 6, Novembrer 2011.
  • Bilingual Document Clustering: Evaluating Cognates as Features. Claudia Denicia-Carral, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda and David Pinto-Avendaño. Canadian Journal of Information and Library Science. Volume 35, Number 3, September 2011, pp. 265-286.
  • Using a Markov Random Field for Image Re-ranking Based on Visual or Textual Features. R. Omar Chávez, Manuel Montes, L. Enrique Sucar. Computación y Sistemas, Vol. 14, No. 4, 2011.
  • Expansión fonética de la consulta para la recuperación de información en documentos hablados. Alejandro Reyes-Barragán, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez. Procesamiento de Lenguaje Natural, No. 47, September 2011.
  • Particle Swarm Model Selection. Hugo Jair Escalante, Manuel Montes and Enrique Sucar. Book Chapter in Isabelle Guyon, Gavin Cawley, Gideon Dror, and Amir Saffari (Editors). Hands on Pattern Recognition, Challenges in Machine Learning Series, Vol. 1, pp. 309--344, Microtome Publishing, Brookline, Massachusetts, 2011.
  • An Energy-based Model for Region-labeling. Hugo Jair Escalante, Manuel Montes, Enrique Sucar. Computer Vision and Image Understanding, Volume 115, Issue 6, June 2011.
  • Hacia la identificación de relaciones de hiponimia/hiperonimia en Internet. Rosa María Ortega, César Aguilar, Luis Villaseñor, Manuel Montes y Gerardo Sierra. Revista Signos, Volumen 44, Número 75, Marzo 2011.
  • Use of the Silhouette Coefficient Measure in Instance Selection for Text Classification. Debangana Dey, Thamar Solorio, Manuel Montes-y-Gómez, Hugo Jair Escalante. Mexican International Conference on Artificial Intelligence (MICAI 2011). Puebla, Mexico, November 2011.
  • A Weighted Profile Intersection Measure for Profile-based Authorship Attribution. Hugo Jair Escalante, Thamar Solorio, Manuel Montes. Mexican International Conference on Artificial Intelligence (MICAI 2011). Puebla, Mexico, November 2011.
  • Modality Specific Meta Features for Authorship Attribution in Web Forum Posts. Thamar Solorio, Sangita Pillay, Sindhu Raghavan, Manuel Montes-y-Gómez. 5th International Joint Conference on Natural Language Processing (IJCNLP-2011), Chiang Mai, Thailand, November 2011.
  • Clasificación Translingüe de Documentos usando Similitudes del Conjunto Objetivo. Adelina Escobar, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda, Rafael Gúzman-Cabrera. 3er Congreso Mexicano de Inteligencia Artificial (COMIA 2011), Atizapán de Zaragoza, Estado de México, Octubre 2011.
  • Authorship Identification with Modality Specific Meta Features. Thamar Solorio, Sangita Pillay and Manuel Montes-y-Gómez. Workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse, PAN 2011. Amsterdam, Netherlands, September 2011.
  • Evaluating a Semisupervised Approach to Phishing URL Identification in a Realistic Scenario. Binod Gyawali, Thamar Solorio, Manuel Montes-Y-Gómez, Bradley Wardman and Gary Warner. 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference (CEAS 2011). Perth, Australia, September, 2011.
  • Language dominance prediction in Spanish-English bilingual children using syntactic information: a first approximation. Gabriela Ramírez-de-la-Rosa, Thamar Solorio, Manuel-Montes-y-Gómez, Yang Liu, Aquiles Iglesias, Lisa Bedore and Elizabeth Peña. Workshop on Iberian Cross-Language NLP tasks (ICL 2011). Huelva, Spain, September 2011.
  • UAB at MediaEval 2011: Genre Tagging Task. Richa Tiwari, Chengcui Zhang, Manuel Montes. MediaEval 2011 Workshop. Pisa, Italy, September 2011.
  • INAOE@DEFT2011: Using a Plagiarism Detection Method for Pairing Abstracts-Scientific Papers. Fernando Sánchez-Vega, Esaú Villatoro-Tello, Antonio Juárez-Gozález, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez, Luis Meneses-Lerín. DEFT workshop, TALN 2011. Montpellier, France, June, 2011.
  • Local Histograms of Character n-grams for Authorship Attribution. Hugo Jair Escalante, Thamar Solorio, Manuel Montes-y-Gómez. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011). Portland, Oregon, USA, June 19-24, 2011.
  • Combining Word and Phonetic-Code Representations for Spoken Document Retrieval. Manuel Alejandro Reyes-Barragán, Manuel Montes-y-Gómez and Luis Villaseñor-Pineda. 12th International Conference, CICLing 2011, Tokyo, Japan, February 20-26, 2011. Lecture Notes in Computer Science, No. 6609, Springer 2011.

  2010

  • The Segmented and Annotated IAPR-TC12 Benchmark. H. Jair Escalante, Carlos A. Hernández, Jesús A. González, Aurelio López, Manuel Montes, Eduardo Morales, Enrique Sucar, Luis Villaseñor, Michael Grubinger. Computer Vision and Image Understanding, Volume 114, Issue 4, April 2010.
  • Towards Multi-Stream Question Answering using Answer Validation. Alberto Téllez-Valero, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda. Informatica, Vol. 34, No. 1, March 2010.
  • Un método independiente del idioma para responder preguntas de definición. Claudia Denicia-Carral, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez. Computación y Sistemas, Vol.14, No.2, Oct-Dec 2010.
  • A Probabilistic Method for Ranking Refinement in Geographic Information Retrieval. Esaú Villatoro-Tello, R. Omar Chavéz-García, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda, L. Enrique Sucar. Procesamiento de Lenguaje Natural, nº 44, March 2010.
  • Bilingual Document Clustering using Translation-Independent Features. Claudia Denicia-Carral, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda and Rita M. Aceves-Pérez. International Journal of Computational Linguistics and Applications, Vol. 1, No. 1-2, Jan-Dec 2010.
  • Towards Document Plagiarism Detection based on the Relevance and Fragmentation of the Reused Text. Fernando Sánchez-Vega, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda and Paolo Rosso. 9th Mexican International Conference on Artificial Intelligence MICAI 2010, Pachuca, Mexico, November 2010. Lecture Notes in Artificial Intelligence, Vol. 6438, Springer 2010.
  • Using Information from the Target Language to Improve Crosslingual Text Classification. Gabriela Ramírez, Manuel Montes, Luis Villaseñor, David Pinto, Thamar Solorio. 7th International Conference on Natural Language Processing IceTAL-2010, Reykjavik, Iceland, August 2010. Lecture Notes in Computer Science, volume 6233, 2010.
  • Summarization as Feature Selection for Text Categorization on Small Datasets. Emmanuel Anguiano-Hernández, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez and Paolo Rosso. 7th International Conference on Natural Language Processing IceTAL-2010, Reykjavik, Iceland, August 2010. Lecture Notes in Computer Science, volume 6233, 2010.
  • Concept Based Representations for Ranking in Geographic Information Retrieval. Maya Carrillo, Esaú Villatoro, Aurelio López, Manuel Montes y Luis Villaseñor. 7th International Conference on Natural Language Processing IceTAL-2010, Reykjavik, Iceland, August 2010. Lecture Notes in Computer Science, volume 6233, 2010.
  • Ensemble Particle Swarm Model Selection. Hugo Jair Escalante and Manuel Montes and Enrique Sucar. International Joint Conference on Neural Networks, IJCNN 2010. Barcelona, Spain, July, 2010.
  • Image Re-ranking based on Relevance Feedback Combining Internal and External Similarities. Omar Chávez, Enrique Sucar, Manuel Montes. The 23rd International FLAIRS Conference. Daytona Beach, Florida, USA, May, 2010.
  • Data Fusion and Label Weighting for Image Retrieval based on Spatio-Conceptual Information. Carlos Hernández-Gracidas, Antonio Juárez-González, L. Enrique Sucar, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda. 9th international conference on Adaptivity, Personalization and Fusion of Heterogeneous Information, RIAO-2010. Paris, France, April 2010.
  • Selecting the N-Top Re-trieval Result Lists for an Effective Data Fusion. Antonio Juárez-González, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda and David Pinto-Avendaño, Manuel Pérez-Coutiño. 11th International Conference on Intelligent Text Processing and Computational Linguistics, CICLing-2010. Romania, March, 2010. Lecture Notes in Computer Science 6008, Springer, 2010.
  • Enhancing Text Classification by Information Embedded in the Test Set. Gabriela Ramírez-de-la-Rosa, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda. 11th International Conference on Intelligent Text Processing and Computational Linguistics, CICLing-2010. Romania, March, 2010. Lecture Notes in Computer Science 6008, Springer, 2010.