A5070041829- Mental Health via Writing
- Sentiment Analysis and Opinion Mining
- Emotion and Mood Recognition
- Hate Speech and Cyberbullying Detection
- Topic Modeling
- Digital Mental Health Interventions
- Misinformation and Its Impacts
- Authorship Attribution and Profiling
- Infrastructure Maintenance and Monitoring
- Natural Language Processing Techniques
- Anomaly Detection Techniques and Applications
- Bullying, Victimization, and Aggression
- Underground infrastructure and sustainability
- Spam and Phishing Detection
- Social Media and Politics
- Personality Traits and Psychology
- Mental Health Research Topics
- Information and Cyber Security
- Biomedical Text Mining and Ontologies
- Mobile Crowdsensing and Crowdsourcing
- Advanced Malware Detection Techniques
- Web Application Security Vulnerabilities
Center for Research in Molecular Medicine and Chronic Diseases
2023-2025
Universidade de Santiago de Compostela
2023-2025
National Institute of Astrophysics, Optics and Electronics
2020-2023
University of Houston
2016-2018
Mario Ezra Aragón, Adrian Pastor López-Monroy, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez. Proceedings of the 2019 Conference North American Chapter Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2019.
A wide range of new possibilities in the area intelligent transportation systems (ITS) emerged when sensors, such as accelerometers, were introduced practically every smartphone. clear example is using a driver's smartphone to detect vertical movement experienced by vehicle passing over pothole or bump; other words, sensing quality road. To this end, several approaches have been proposed literature, most them based on thresholds applied accelerometer readings. Nonetheless, no fair comparison...
Millions of people around the world are affected by one or more mental disorders that interfere in their thinking and behavior. A timely detection these issues is challenging but crucial, since it could open possibility to offer help before illness gets worse. One alternative accomplish this monitor how express themselves, for example what they write, even a step further, emotions social media communications. In article, we analyze two computational representations aim model presence changes...
Mario Aragon, Adrian Pastor Lopez Monroy, Luis Gonzalez, David E. Losada, Manuel Montes. Proceedings of the 61st Annual Meeting Association for Computational Linguistics (Volume 1: Long Papers). 2023.
Abstract The COVID-19 pandemic, a global contagion of coronavirus infection caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), has triggered severe social and economic disruption around the world provoked changes in people’s behavior. Given extreme societal impact COVID-19, it becomes crucial to understand emotional response people on personality traits psychological dimensions. In this study, we contribute goal thoroughly analyzing evolution aspects large-scale...
Smartphone-based applications for Intelligent Transportation Systems (ITS) have become a real possibility because of the sensing and computing capabilities these devices. In this work we employ smartphones' accelerometers to sense quality roads, detecting perturbations encountered by vehicle. The ultimate goal line is correctly identify, classify georeference all obstacles so alleviating measures can be taken. Having continuous series accelerometer readings, first problem identify when...
This paper presents the Deep Bag-of-Sub-Emotions (DeepBoSE), a novel deep learning model for depression detection in social media. The is formulated such that it internally computes differentiable Bag-of-Features (BoF) representation incorporates emotional information. achieved by reinterpretation of classical weighting schemes like term frequency-inverse document frequency into probabilistic operations. An important advantage proposed method can be trained under transfer paradigm, which...