A Machine Learning Pipeline to Automatically Identify and Classify Roadway Surface Disruptions. - Mario Ezra Aragón; Manuel Ricardo Carlos; Luis Carlos González-Gurrola; Hugo Jair Escalante (ENC, 2016)

A Straightforward Multimodal Approach for Author Profiling: Notebook for PAN at CLEF 2018. - Mario Ezra Aragón; Adrián Pastor López-Monroy (CLEF (Working Notes), 2018)

Author Profiling and Aggressiveness Detection in Spanish Tweets: MEX-A3T 2018. - Mario Ezra Aragón; Adrián Pastor López-Monroy (IberEval@SEPLN, 2018)

Evaluation of Detection Approaches for Road Anomalies Based on Accelerometer Readings - Addressing Who's Who. - Manuel Ricardo Carlos-Loya; Mario Ezra Aragón; Luis Carlos González-Gurrola; Hugo Jair Escalante; Fernando Martínez 002 (IEEE Trans. Intell. Transp. Syst., 2018)

INAOE-CIMAT at eRisk 2019: Detecting Signs of Anorexia using Fine-Grained Emotions. - Mario Ezra Aragón; Adrián Pastor López-Monroy; Manuel Montes-y-Gómez (CLEF (Working Notes), 2019)

Detecting Depression in Social Media using Fine-Grained Emotions. - Mario Ezra Aragón; Adrián Pastor López-Monroy; Luis Carlos González-Gurrola; Manuel Montes-y-Gómez (NAACL-HLT (1), 2019)

Overview of MEX-A3T at IberLEF 2019: Authorship and Aggressiveness Analysis in Mexican Spanish Tweets. - Mario Ezra Aragón; Miguel Ángel Álvarez-Carmona; Manuel Montes-y-Gómez; Hugo Jair Escalante; Luis Villaseñor Pineda; Daniela Moctezuma 001 (IberLEF@SEPLN, 2019)

INAOE-CIMAT at eRisk 2020: Detecting Signs of Self-Harm using Sub-Emotions and Words. - Mario Ezra Aragón; Adrián Pastor López-Monroy; Manuel Montes-y-Gómez (CLEF (Working Notes), 2020)

Overview of MEX-A3T at IberLEF 2020: Fake News and Aggressiveness Analysis in Mexican Spanish. - 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 (IberLEF@SEPLN, 2020)

Attention to Emotions: Detecting Mental Disorders in Social Media. - Mario Ezra Aragón; Adrián Pastor López-Monroy; Luis Carlos González-Gurrola; Manuel Montes-y-Gómez (TDS, 2020)

Deep Bag-of-Sub-Emotions for Depression Detection in Social Media. - Juan S. Lara; Mario Ezra Aragón; Fabio A. González 001; Manuel Montes-y-Gómez (TDS, 2021)

Approaching what and how people with mental disorders communicate in social media-Introducing a multi-channel representation. - Mario Ezra Aragón; Adrián Pastor López-Monroy; Luis Carlos González-Gurrola; Manuel Montes-y-Gómez (Neural Comput. Appl., 2022)

Information fusion for mental disorders detection: multimodal BERT against fusioning multiple BERTs. - Mario Ezra Aragón; Adrián Pastor López-Monroy; Luis Carlos González-Gurrola; Manuel Montes-y-Gómez (Proces. del Leng. Natural, 2022)

DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media. - Mario Ezra Aragón; Adrián Pastor López-Monroy; Luis Gonzalez; David E. Losada; Manuel Montes (ACL (1), 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; Manuel Montes-y-Gómez (IEEE Trans. Affect. Comput., 2023)

Leveraging posts' and authors' metadata to spot several forms of abusive comments in Twitter. - Marco Casavantes; Mario Ezra Aragón; Luis Carlos González-Gurrola; Manuel Montes-y-Gómez (J. Intell. Inf. Syst., 2023)

DepressMind: A Depression Surveillance System for Social Media Analysis. - Roque Fernández-Iglesias; Marcos Fernández-Pichel; Mario Ezra Aragón; David E. Losada (EACL (Demonstrations), 2024)

Personality trait analysis during the COVID-19 pandemic: a comparative study on social media. - Marcos Fernández-Pichel; Mario Ezra Aragón; Julián Saborido-Patiño; David E. Losada (J. Intell. Inf. Syst., 2024)

Adapting language models for mental health analysis on social media. - Mario Ezra Aragón; Adrián Pastor López-Monroy; Manuel Montes-y-Gómez; David E. Losada (Artif. Intell. Medicine, 2025)

On the incidence of depression symptoms on social media. - Esteban A. Ríssola; Mario Ezra Aragón; David E. Losada; Fabio Crestani (J. Comput. Soc. Sci., 2025)