Javier Huertas-Tato

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Topics

Spanish Language

Solar Radiation

Top Venues

Knowl. Based Syst.

CLEF (Working Notes)

Publications

Esteban García-Cuesta, Javier Huertas-Tato, Pablo Cardinal-Fernandez, José Barberán
Explainable Risk Prediction on Streaming Data: a LSTMs application to SARS-CoV-2 Patients. EAIS (2024)
Javier Huertas-Tato, Alejandro Martín, David Camacho
Understanding writing style in social media with a supervised contrastively pre-trained transformer. Knowl. Based Syst. 296 (2024)
Helena Liz-López, Javier Huertas-Tato, Jorge Pérez-Aracil, Carlos Casanova-Mateo, Julia Sanz-Justo, David Camacho
Spain on fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information. Knowl. Based Syst. 283 (2024)
Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
Camouflage is all you need: Evaluating and Enhancing Language Model Robustness Against Camouflage Adversarial Attacks. CoRR (2024)
Helena Liz-López, Mamadou Keita, Abdelmalik Taleb-Ahmed, Abdenour Hadid, Javier Huertas-Tato, David Camacho
Generation and detection of manipulated multimodal audiovisual content: Advances, trends and open challenges. Inf. Fusion 103 (2024)
Javier Huertas-Tato, Alejandro Martín, David Camacho
Using Authorship Embeddings to Understand Writing Style in Social Media. CLEF (2023)
Javier Huertas-Tato, Alejandro Martín, David Camacho
BERTuit: Understanding Spanish language in Twitter with transformers. Expert Syst. J. Knowl. Eng. 40 (9) (2023)
Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
Exploring Dimensionality Reduction Techniques in Multilingual Transformers. Cogn. Comput. 15 (2) (2023)
Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word CamouflageS. NLP-MisInfo@SEPLN (2023)
Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
Countering malicious content moderation evasion in online social networks: Simulation and detection of word camouflage. Appl. Soft Comput. 145 (2023)
Javier Huertas-Tato, Alejandro Martín, David Camacho
Understanding writing style in social media with a supervised contrastively pre-trained transformer. CoRR (2023)
Helena Liz-López, Javier Huertas-Tato, Jorge Pérez-Aracil, Carlos Casanova-Mateo, Julia Sanz-Justo, David Camacho
Spain on Fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information. CoRR (2023)
Helena Liz, Javier Huertas-Tato, Manuel A. Sánchez-Montañés, Javier Del Ser, David Camacho
Deep learning for understanding multilabel imbalanced Chest X-ray datasets. Future Gener. Comput. Syst. 144 (2023)
Javier Huertas-Tato, Alejandro Martín, David Camacho
SILT: Efficient transformer training for inter-lingual inference. Expert Syst. Appl. 200 (2022)
Alejandro Martín, Javier Huertas-Tato, Álvaro Huertas-García, Guillermo Villar-Rodríguez, David Camacho
FacTeR-Check: Semi-automated fact-checking through semantic similarity and natural language inference. Knowl. Based Syst. 251 (2022)
Javier Huertas-Tato, Álvaro Huertas-García, Alejandro Martín, David Camacho
PART: Pre-trained Authorship Representation Transformer. CoRR (2022)
Helena Liz, Javier Huertas-Tato, Manuel Sánchez-Montañés, Javier Del Ser, David Camacho
Deep learning for understanding multilabel imbalanced Chest X-ray datasets. CoRR (2022)
Javier Huertas-Tato, Alejandro Martín, Álvaro Huertas-García, David Camacho
Generating Authorship Embeddings with Transformers. IJCNN (2022)
Álvaro Huertas-García, Helena Liz, Guillermo Villar-Rodríguez, Alejandro Martín, Javier Huertas-Tato, David Camacho
AIDA-UPM at SemEval-2022 Task 5: Exploring Multimodal Late Information Fusion for Multimedia Automatic Misogyny Identification. SemEval@NAACL (2022)
Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word Camouflage. CoRR (2022)
Eva García-Soto, Alejandro Martín, Javier Huertas-Tato, David Camacho
Android Malware Detection Through a Pre-trained Model for Code Understanding. UCAmI (2022)
Javier Huertas-Tato, Alejandro Martín, David Camacho
BERTuit: Understanding Spanish language in Twitter through a native transformer. CoRR (2022)
Javier Huertas-Tato, Inés María Galván, Ricardo Aler, Francisco J. Rodríguez-Benítez, David Pozo-Vázquez
Using a Multi-view Convolutional Neural Network to monitor solar irradiance. Neural Comput. Appl. 34 (13) (2022)
Javier Huertas-Tato, Alejandro Martín, Julian Fiérrez, David Camacho
Fusing CNNs and statistical indicators to improve image classification. Inf. Fusion 79 (2022)
Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
Exploring Dimensionality Reduction Techniques in Multilingual Transformers. CoRR (2022)
Javier Huertas-Tato, Alejandro Martín, David Camacho
SML: a new Semantic Embedding Alignment Transformer for efficient cross-lingual Natural Language Inference. CoRR (2021)
Álvaro Huertas-García, Javier Huertas-Tato, Alejandro Martín, David Camacho
Countering Misinformation Through Semantic-Aware Multilingual Models. IDEAL (2021)
Álvaro Huertas-García, Javier Huertas-Tato, Alejandro Martín, David Camacho
CIVIC-UPM at CheckThat! 2021: Integration of Transformers in Misinformation Detection and Topic Classification. CLEF (Working Notes) (2021)
Alejandro Martín, Javier Huertas-Tato, Álvaro Huertas-García, Guillermo Villar-Rodríguez, David Camacho
FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference. CoRR (2021)
Inés María Galván, Javier Huertas-Tato, Francisco J. Rodríguez-Benítez, Clara Arbizu-Barrena, David Pozo-Vázquez, Ricardo Aler
Evolutionary-based prediction interval estimation by blending solar radiation forecasting models using meteorological weather types. Appl. Soft Comput. 109 (2021)
Álvaro Huertas-García, Javier Huertas-Tato, Alejandro Martín, David Camacho
Profiling Hate Speech Spreaders on Twitter: Transformers and mixed pooling. CLEF (Working Notes) (2021)
Javier Huertas-Tato, Alejandro Martín, David Camacho
Cloud Type Identification Using Data Fusion and Ensemble Learning. IDEAL (2) (2020)
Esteban García-Cuesta, José Manuel López-López, Daniel Gómez-Vergel, Javier Huertas-Tato
An Adaptive Cognitive Model to Integrate Machine Learning and Visual Streaming Data. SOCO (2020)
Javier Huertas-Tato, Alejandro Martín, Julian Fiérrez, David Camacho
Fusion of CNNs and statistical indicators to improve image classification. CoRR (2020)
Javier Huertas-Tato, Ricardo Aler, Francisco J. Rodríguez-Benítez, Clara Arbizu-Barrena, David Pozo-Vázquez, Inés María Galván
Predicting Global Irradiance Combining Forecasting Models Through Machine Learning. HAIS (2018)
Rubén Martín-Vázquez, Javier Huertas-Tato, Ricardo Aler, Inés María Galván
Studying the Effect of Measured Solar Power on Evolutionary Multi-objective Prediction Intervals. IDEAL (2) (2018)