A5050780136- Topic Modeling
- Natural Language Processing Techniques
- Authorship Attribution and Profiling
- Spam and Phishing Detection
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Hate Speech and Cyberbullying Detection
- Mental Health via Writing
- Speech and dialogue systems
- Semantic Web and Ontologies
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Misinformation and Its Impacts
- Multimodal Machine Learning Applications
- Web Data Mining and Analysis
- Speech Recognition and Synthesis
- Emotion and Mood Recognition
- Data Mining Algorithms and Applications
- Data Management and Algorithms
- Academic integrity and plagiarism
- Video Analysis and Summarization
- Digital Mental Health Interventions
- Biomedical Text Mining and Ontologies
- Rough Sets and Fuzzy Logic
National Institute of Astrophysics, Optics and Electronics
2015-2024
ORCID
2021
Universitat Politècnica de València
2005-2018
Consejo Nacional de Ciencia y Tecnología
2008-2017
University of Alabama at Birmingham
2011-2013
University of Alabama
2011
Universidad de Puebla
2011
Optica
2004
Instituto Politécnico Nacional
1999-2002
Laboratório Nacional de Astrofísica
2002
This paper presents a novel model for multimodal learning based on gated neural networks. The Gated Multimodal Unit (GMU) is intended to be used as an internal unit in network architecture whose purpose find intermediate representation combination of data from different modalities. GMU learns decide how modalities influence the activation using multiplicative gates. It was evaluated multilabel scenario genre classification movies plot and poster. improved macro f-score performance...
Patriarchal behavior, such as other social habits, has been transferred online, appearing misogynistic and sexist comments, posts or tweets. This online hate speech against women serious consequences in real life, recently, various legal cases have arisen platforms that s carcely block the spread of messages towards individuals. In this difficult context, paper presents an approach is able to detect two sides patriarchal misogyny sexism, analyzing three collections English tweets, obtaining...
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.
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...
Depression is a disease that affects considerable portion of the world population. Severe cases depression interfere with common live patients, for those patients strict monitoring necessary in order to control progress and prevent undesired side effects. A way keep track by means online via human-computer-interaction. The AVEC'14 challenge aims at developing technology towards patients. This paper describes an approach recognition from audiovisual information context challenge. proposed...