Predicting Global Irradiance Combining Forecasting Models Through Machine Learning. - Javier Huertas-Tato; Ricardo Aler; Francisco J. Rodríguez-Benítez; Clara Arbizu-Barrena; David Pozo-Vázquez; Inés María Galván (HAIS, 2018)

Studying the Effect of Measured Solar Power on Evolutionary Multi-objective Prediction Intervals. - Rubén Martín-Vázquez; Javier Huertas-Tato; Ricardo Aler; Inés María Galván (IDEAL (2), 2018)

Cloud Type Identification Using Data Fusion and Ensemble Learning. - Javier Huertas-Tato; Alejandro Martín; David Camacho (IDEAL (2), 2020)

An Adaptive Cognitive Model to Integrate Machine Learning and Visual Streaming Data. - Esteban García-Cuesta; José Manuel López-López; Daniel Gómez-Vergel; Javier Huertas-Tato (SOCO, 2020)

Fusion of CNNs and statistical indicators to improve image classification. - Javier Huertas-Tato; Alejandro Martín; Julian Fiérrez; David Camacho (CoRR, 2020)

CIVIC-UPM at CheckThat! 2021: Integration of Transformers in Misinformation Detection and Topic Classification. - Álvaro Huertas-García; Javier Huertas-Tato; Alejandro Martín; David Camacho (CLEF (Working Notes), 2021)

Profiling Hate Speech Spreaders on Twitter: Transformers and mixed pooling. - Álvaro Huertas-García; Javier Huertas-Tato; Alejandro Martín; David Camacho (CLEF (Working Notes), 2021)

Countering Misinformation Through Semantic-Aware Multilingual Models. - Álvaro Huertas-García; Javier Huertas-Tato; Alejandro Martín; David Camacho (IDEAL, 2021)

Evolutionary-based prediction interval estimation by blending solar radiation forecasting models using meteorological weather types. - Inés María Galván; Javier Huertas-Tato; Francisco J. Rodríguez-Benítez; Clara Arbizu-Barrena; David Pozo-Vázquez; Ricardo Aler (Appl. Soft Comput., 2021)

SML: a new Semantic Embedding Alignment Transformer for efficient cross-lingual Natural Language Inference. - Javier Huertas-Tato; Alejandro Martín; David Camacho (CoRR, 2021)

Generating Authorship Embeddings with Transformers. - Javier Huertas-Tato; Alejandro Martín; Álvaro Huertas-García; David Camacho (IJCNN, 2022)

AIDA-UPM at SemEval-2022 Task 5: Exploring Multimodal Late Information Fusion for Multimedia Automatic Misogyny Identification. - Álvaro Huertas-García; Helena Liz; Guillermo Villar-Rodríguez; Alejandro Martín; Javier Huertas-Tato; David Camacho (SemEval@NAACL, 2022)

Android Malware Detection Through a Pre-trained Model for Code Understanding. - Eva García-Soto; Alejandro Martín; Javier Huertas-Tato; David Camacho (UCAmI, 2022)

BERTuit: Understanding Spanish language in Twitter through a native transformer. - Javier Huertas-Tato; Alejandro Martín; David Camacho (CoRR, 2022)

PART: Pre-trained Authorship Representation Transformer. - Javier Huertas-Tato; Álvaro Huertas-García; Alejandro Martín; David Camacho (CoRR, 2022)

SILT: Efficient transformer training for inter-lingual inference. - Javier Huertas-Tato; Alejandro Martín; David Camacho (Expert Syst. Appl., 2022)

Fusing CNNs and statistical indicators to improve image classification. - Javier Huertas-Tato; Alejandro Martín; Julian Fiérrez; David Camacho (Inf. Fusion, 2022)

FacTeR-Check: Semi-automated fact-checking through semantic similarity and natural language inference. - Alejandro Martín; Javier Huertas-Tato; Álvaro Huertas-García; Guillermo Villar-Rodríguez; David Camacho (Knowl. Based Syst., 2022)

Using a Multi-view Convolutional Neural Network to monitor solar irradiance. - Javier Huertas-Tato; Inés María Galván; Ricardo Aler; Francisco J. Rodríguez-Benítez; David Pozo-Vázquez (Neural Comput. Appl., 2022)

Using Authorship Embeddings to Understand Writing Style in Social Media. - Javier Huertas-Tato; Alejandro Martín; David Camacho (CLEF, 2023)

Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word CamouflageS. - Álvaro Huertas-García; Alejandro Martín; Javier Huertas-Tato; David Camacho (NLP-MisInfo@SEPLN, 2023)

Exploring Dimensionality Reduction Techniques in Multilingual Transformers. - Álvaro Huertas-García; Alejandro Martín; Javier Huertas-Tato; David Camacho (Cogn. Comput., 2023)

Deep learning for understanding multilabel imbalanced Chest X-ray datasets. - Helena Liz; Javier Huertas-Tato; Manuel A. Sánchez-Montañés; Javier Del Ser; David Camacho (Future Gener. Comput. Syst., 2023)

Countering malicious content moderation evasion in online social networks: Simulation and detection of word camouflage. - Álvaro Huertas-García; Alejandro Martín; Javier Huertas-Tato; David Camacho (Appl. Soft Comput., 2023)

BERTuit: Understanding Spanish language in Twitter with transformers. - Javier Huertas-Tato; Alejandro Martín; David Camacho (Expert Syst. J. Knowl. Eng., 2023)

Explainable Risk Prediction on Streaming Data: a LSTMs application to SARS-CoV-2 Patients. - Esteban García-Cuesta; Javier Huertas-Tato; Pablo Cardinal-Fernandez; José Barberán (EAIS, 2024)

Multimodal Visio-Lingual Content Analysis to Detect Fake Content on Reddit. - Adrian Giron-Jimenez; Javier Huertas-Tato; David Camacho (IDEAL (1), 2024)

Using Contrastive Learning to Map Stylistic Similarities in Narrative Writers. - María Valero-Redondo; Javier Huertas-Tato; Sergio D'Antonio-Maceiras; Alejandro Martín; David Camacho (IDEAL (1), 2024)

A CLIP-based Siamese Approach for Meme Classification. - Javier Huertas-Tato; Christos Koutlis; Symeon Papadopoulos; David Camacho; Ioannis Kompatsiaris (IJCNN, 2024)

Low-Resource Dataset Synthetic Generation for Hate Speech Detection. - Adrian Giron-Jimenez; Guillem Collell; Fadi Hassan; Javier Huertas-Tato; David Camacho (WISE (PhD Symposium, Demos and Workshops), 2024)

Camouflage is all you need: Evaluating and Enhancing Language Model Robustness Against Camouflage Adversarial Attacks. - Álvaro Huertas-García; Alejandro Martín; Javier Huertas-Tato; David Camacho (CoRR, 2024)

Isolating authorship from content with semantic embeddings and contrastive learning. - Javier Huertas-Tato; Adrian Giron-Jimenez; Alejandro Martín; David Camacho (CoRR, 2024)

Understanding writing style in social media with a supervised contrastively pre-trained transformer. - Javier Huertas-Tato; Alejandro Martín; David Camacho (Knowl. Based Syst., 2024)

Spain on fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information. - Helena Liz-López; Javier Huertas-Tato; Jorge Pérez-Aracil; Carlos Casanova-Mateo; Julia Sanz-Justo; David Camacho (Knowl. Based Syst., 2024)

Generation and detection of manipulated multimodal audiovisual content: Advances, trends and open challenges. - Helena Liz-López; Mamadou Keita; Abdelmalik Taleb-Ahmed; Abdenour Hadid; Javier Huertas-Tato; David Camacho (Inf. Fusion, 2024)

On the locality bias and results in the Long Range Arena. - Pablo Miralles-González; Javier Huertas-Tato; Alejandro Martín; David Camacho (CoRR, 2025)

DisTrack: A New Tool For Semi-automatic Misinformation Tracking in Online Social Networks. - Guillermo Villar-Rodríguez; Álvaro Huertas-García; Alejandro Martín; Javier Huertas-Tato; David Camacho (Cogn. Comput., 2025)

Camouflage Is All You Need: Evaluating and Enhancing Transformer Models Robustness Against Camouflage Adversarial Attacks. - Álvaro Huertas-García; Alejandro Martín; Javier Huertas-Tato; David Camacho (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Pushing the boundary on Natural Language Inference. - Pablo Miralles-González; Javier Huertas-Tato; Alejandro Martín; David Camacho (CoRR, 2025)

Decoding Latent Spaces: Assessing the Interpretability of Time Series Foundation Models for Visual Analytics. - Inmaculada Santamaria-Valenzuela; Víctor Rodríguez-Fernández; Javier Huertas-Tato; Jong Hyuk Park 001; David Camacho (CoRR, 2025)

LLM synthetic generation to enhance online content moderation generalization in hate speech scenarios. - Adrián Girón; Javier Huertas-Tato; David Camacho (Computing, 2025)

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI-generated text detection. - Pablo Miralles-González; Javier Huertas-Tato; Alejandro Martín; David Camacho (Inf. Fusion, 2026)