This project aims to investigate what aspects of patients’ language and behaviour can be effectively and efficiently modelled by very recent AI techniques in the diagnostic construct of depression disorders, considering relevant demographic variables such as cultural background (native language) and gender. More in particular, we aim to answer what type of knowledge, extracted from the data and those provided by the domain expert, can be exploited and infused into the learning process adding intelligibility capabilities to the generated models. The outcomes of this project will have an impact in the clinical context, where digital solutions are required to reduce the limitations of the healthcare systems of low- and mid-income countries.
- Funding
- SNSF, Switzerland. Swiss Programme for International Research by Scientific Investigation Teams (SPIRIT), SNSF Research Program 2024
- Period
- May 2025 – April 2029
- Grant number
- IZSTZ0_223488/1
- Project type
- Research
- Institutions
- Idiap Research Institute, Switzerland, in collaboration with CIMAT, Mexico, INPRFM, Mexico and USI (Università della Svizzera italiana), Switzerland
- My role
- Principal Investigator (PI): main researcher and supervisor of the involved students
May 2017 – Sep 2019 · Research
Automatic Personality Traits Recognition using multimodal features
Evaluate the impact of multimodal features in the task of Personality trait recognition. Particularly, textual features in combination with attributes extracted from the images of handwritten texts are being considered. In parallel, a large multi-modal Spanish corpus was constructed.
- Funding
- CONACyT Research Program 2015, Mexico
- Grant number
- CB-2015-01-258588
- Institutions
- Information Technologies Department, Universidad Autónoma Metropolitana Unidad Cuajimalpa, Mexico, in collaboration with the Universidad Nacional de San Luis, Argentina
- My role
- PI: main researcher, project coordinator and supervisor of the involved students
June 2018 · Science Divulgation and Communication
International Workshop on Computational Linguistics: Towards the deep analysis of digital documents
To provide a training event with a global scope aiming at updating participants about the most recent advances in the critical and fast-developing area of deep learning and its impact on Natural Language Processing.
- Funding
- Support Program for Scientific, Technological and Innovation Activities, CONACyT 2018, Mexico
- Grant number
- 293097
- Institutions
- Information Technologies Department, Universidad Autónoma Metropolitana Unidad Cuajimalpa, Mexico, in collaboration with IIMAS-UNAM Mexico, CIC-IPN Mexico, UNAL-Colombia
- My role
- PI: main researcher and coordinator of the event
Feb 2018 – Jan 2019 · Innovation
Platform of Bioinformatic Analysis for Genomic Research and Diagnosis. Phase 3: incorporation of Artificial Intelligence algorithms and analysis of structural variants
Development of an Information Extraction system specialized in finding clinical information associated with genetic variants in scientific papers. Natural Language Processing methods in combination with machine learning algorithms were employed.
- Funding
- CONACyT Innovation Program (PEI-CONACyT) 2018, Mexico
- Grant number
- 253441
- Institutions
- Information Technologies Department, Universidad Autónoma Metropolitana Unidad Cuajimalpa, Mexico, in collaboration with the industrial partner “Web and Internet and Network Technology for Enterprise Resources (WINTER) SA de CV”, Mexico
- My role
- PI: main researcher, project coordinator and supervisor of the involved students
Feb 2017 – Jan 2018 · Innovation
Cloud bioinformatics platform for the identification of genetic variants, an application for molecular diagnosis and genomic research
To develop a machine-learning approach for the identification of genetic variants with pathogenic potential. We delivered a solution for classifying a genetic mutation into two possible categories: mutation related to a certain pathology, or mutation not related to the pathology.
- Funding
- CONACyT Innovation Program (PEI-CONACyT) 2017, Mexico
- Grant number
- 242211
- Institutions
- Information Technologies Department, Universidad Autónoma Metropolitana Unidad Cuajimalpa, Mexico, in collaboration with the industrial partner “Web and Internet and Network Technology for Enterprise Resources (WINTER) SA de CV”, Mexico
- My role
- PI: main researcher, project coordinator and supervisor of the involved students
Sep 2013 – Dec 2014 · Research
Sexual Predators Identification in Chat Conversations Employing Sequential Information
To develop a novel method for automatically identifying sexual predators in chat conversations based on text representations incorporating sequential data.
- Funding
- Full-time Professors Incorporation Program SEP-PROMEP 2013, Mexico
- Grant number
- SEP-PROMEP-48510349
- Institutions
- Information Technologies Department, Universidad Autónoma Metropolitana Unidad Cuajimalpa, Mexico, in collaboration with the National Institute of Astrophysics Optics and Electronics (INAOE), Puebla, Mexico and the Universidad Nacional de San Luis, Argentina
- My role
- PI: main researcher, project coordinator and supervisor of the involved students
