Dr. Javier Huertas

Assistant Professor

Dr. Javier Huertas Tato obtained his PhD in Computer Science at Universidad Carlos III de Madrid under a FPI research grant. Currently, he is working as a Ph.D. assistant lecturer at Universidad Politecnica de Madrid and collaborating with national and international research projects such as CIVIC, FightDIS, and IBERIFIER. His current research topics are disinformation detection, tracking, and countering; machine learning applied to environmental issues; and deep learning techniques such as convolutional networks and transformers.

  • Iberian Digital Media Research and Fact-Checking Hub (IBERIFIER)
    Scope: International
    Start date: September 1, 2021
    End date: February 29, 2024

  • Caracterización inteligente de la veracidad de información asociada a la COVID-19 (CIVIC)
    Scope: Industrial
    Start date: October 10, 2020
    End date: October 10, 2022

  • Tracking disinformation in Online Social Networks through Deep Natural Language Processing (DisTrack)
    Scope: Industrial
    Start date: November 1, 2021
    End date: December 31, 2022


Huertas-Tato, Javier; Martín, Alejandro; Camacho, David

SILT: Efficient transformer training for inter-lingual inference Journal Article

In: Expert Systems with Applications, vol. 200, pp. 116923, 2022, ISSN: 0957-4174.

Abstract | Links | BibTeX

Martín, Alejandro; Huertas-Tato, Javier; Huertas-García, Álvaro; Villar-Rodríguez, Guillermo; Camacho, David

FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference Journal Article

In: arXiv:2110.14532 [cs], 2022, (arXiv: 2110.14532).

Abstract | Links | BibTeX


Huertas-García, Álvaro; Huertas-Tato, Javier; Martín, Alejandro; Camacho, David

CIVIC-UPM at CheckThat! 2021: Integration of Transformers in Misinformation Detection and Topic Classification Inproceedings

In: Conference and Labs of the Evaluation Forum (CLEF) Working Notes, pp. 520–530, 2021.

Abstract | Links | BibTeX

Villar-Rodríguez, Guillermo; Huertas-Tato, Javier; Martín, Alejandro; Camacho, David

A la desinformación le gusta la compañía: Representación de bulos de Twitter sobre la COVID-19 mediante embeddings Conference

XIX Conference of the Spanish Association for Artificial Intelligence, 2021.


Huertas-García, Álvaro; Huertas-Tato, Javier; Martín, Alejandro; Camacho, David

Countering Misinformation Through Semantic-Aware Multilingual Models Inproceedings

In: Yin, Hujun; Camacho, David; Tino, Peter; Allmendinger, Richard; Tallón-Ballesteros, Antonio J.; Tang, Ke; Cho, Sung-Bae; Novais, Paulo; Nascimento, Susana (Ed.): Intelligent Data Engineering and Automated Learning – IDEAL 2021, pp. 312–323, Springer International Publishing, Cham, 2021, ISBN: 978-3-030-91608-4.

Abstract | Links | BibTeX


Huertas-García, Álvaro; Martín, Alejandro; Huertas-Tato, Javier; Camacho, David

Exploring Dimensionality Reduction Techniques in Multilingual Transformers Miscellaneous

CoRR, 2022.

Abstract | Links | BibTeX