Javier Huertas-Tato

55 papers B 2C 1Misc 1Journal 38Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Discourse-Driven Detection of Multimodal Misinformation. IEEE Trans. Emerg. Top. Comput. Intell. Adrián Girón, Javier Huertas-Tato, David Camacho
2026	J	`jnl`	Not all tokens are created equal: Perplexity Attention Weighted Networks for AI-generated text detection. Inf. Fusion Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín, David Camacho
2026	J	`jnl`	xList-Hate: A Checklist-Based Framework for Interpretable and Generalizable Hate Speech Detection. CoRR Adrián Girón, Pablo Miralles, Javier Huertas-Tato, Sergio D'Antonio-Maceiras, David Camacho
2025	J	`jnl`	Camouflage Is All You Need: Evaluating and Enhancing Transformer Models Robustness Against Camouflage Adversarial Attacks. IEEE Trans. Emerg. Top. Comput. Intell. Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
2025	J	`jnl`	Decoding Latent Spaces: Assessing the Interpretability of Time Series Foundation Models for Visual Analytics. CoRR Inmaculada Santamaria-Valenzuela, Víctor Rodríguez-Fernández, Javier Huertas-Tato, Jong Hyuk Park, David Camacho
2025	J	`jnl`	DisTrack: A New Tool For Semi-automatic Misinformation Tracking in Online Social Networks. Cogn. Comput. Guillermo Villar-Rodríguez, Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
2025	J	`jnl`	LLM one-shot style transfer for Authorship Attribution and Verification. CoRR Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín, David Camacho
2025	J	`jnl`	LLM synthetic generation to enhance online content moderation generalization in hate speech scenarios. Computing Adrián Girón, Javier Huertas-Tato, David Camacho
2025	J	`jnl`	Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection. CoRR Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín, David Camacho
2025	J	`jnl`	On the locality bias and results in the Long Range Arena. CoRR Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín, David Camacho
2025	J	`jnl`	Pushing the boundary on Natural Language Inference. CoRR Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín, David Camacho
2025	J	`jnl`	Supervised Contrastive Learning for Few-Shot AI-Generated Image Detection and Attribution. CoRR Jaime Álvarez Urueña, David Camacho, Javier Huertas-Tato
2024	B	`conf`	A CLIP-based Siamese Approach for Meme Classification. IJCNN Javier Huertas-Tato, Christos Koutlis, Symeon Papadopoulos, David Camacho, Ioannis Kompatsiaris
2024	J	`jnl`	A CLIP-based siamese approach for meme classification. CoRR Javier Huertas-Tato, Christos Koutlis, Symeon Papadopoulos, David Camacho, Ioannis Kompatsiaris
2024	J	`jnl`	Camouflage is all you need: Evaluating and Enhancing Language Model Robustness Against Camouflage Adversarial Attacks. CoRR Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
2024	J	`jnl`	DisTrack: a new Tool for Semi-automatic Misinformation Tracking in Online Social Networks. CoRR Guillermo Villar-Rodríguez, Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
2024	—	`conf`	Explainable Risk Prediction on Streaming Data: a LSTMs application to SARS-CoV-2 Patients. EAIS Esteban García-Cuesta, Javier Huertas-Tato, Pablo Cardinal-Fernandez, José Barberán
2024	J	`jnl`	Generation and detection of manipulated multimodal audiovisual content: Advances, trends and open challenges. Inf. Fusion Helena Liz-López, Mamadou Keita, Abdelmalik Taleb-Ahmed, Abdenour Hadid, Javier Huertas-Tato, David Camacho
2024	J	`jnl`	Isolating authorship from content with semantic embeddings and contrastive learning. CoRR Javier Huertas-Tato, Adrian Giron-Jimenez, Alejandro Martín, David Camacho
2024	—	`conf`	Low-Resource Dataset Synthetic Generation for Hate Speech Detection. WISE (PhD Symposium, Demos and Workshops) Adrian Giron-Jimenez, Guillem Collell, Fadi Hassan, Javier Huertas-Tato, David Camacho
2024	—	`conf`	Multimodal Visio-Lingual Content Analysis to Detect Fake Content on Reddit. IDEAL (1) Adrian Giron-Jimenez, Javier Huertas-Tato, David Camacho
2024	J	`jnl`	Spain on fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information. Knowl. Based Syst. Helena Liz-López, Javier Huertas-Tato, Jorge Pérez-Aracil, Carlos Casanova-Mateo, Julia Sanz-Justo, David Camacho
2024	J	`jnl`	Understanding writing style in social media with a supervised contrastively pre-trained transformer. Knowl. Based Syst. Javier Huertas-Tato, Alejandro Martín, David Camacho
2024	—	`conf`	Using Contrastive Learning to Map Stylistic Similarities in Narrative Writers. IDEAL (1) María Valero-Redondo, Javier Huertas-Tato, Sergio D'Antonio-Maceiras, Alejandro Martín, David Camacho
2023	J	`jnl`	BERTuit: Understanding Spanish language in Twitter with transformers. Expert Syst. J. Knowl. Eng. Javier Huertas-Tato, Alejandro Martín, David Camacho
2023	—	`conf`	Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word CamouflageS. NLP-MisInfo@SEPLN Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
2023	J	`jnl`	Countering malicious content moderation evasion in online social networks: Simulation and detection of word camouflage. Appl. Soft Comput. Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
2023	J	`jnl`	Deep learning for understanding multilabel imbalanced Chest X-ray datasets. Future Gener. Comput. Syst. Helena Liz, Javier Huertas-Tato, Manuel A. Sánchez-Montañés, Javier Del Ser, David Camacho
2023	J	`jnl`	Exploring Dimensionality Reduction Techniques in Multilingual Transformers. Cogn. Comput. Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
2023	J	`jnl`	Spain on Fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information. CoRR Helena Liz-López, Javier Huertas-Tato, Jorge Pérez-Aracil, Carlos Casanova-Mateo, Julia Sanz-Justo, David Camacho
2023	J	`jnl`	Understanding writing style in social media with a supervised contrastively pre-trained transformer. CoRR Javier Huertas-Tato, Alejandro Martín, David Camacho
2023	—	`conf`	Using Authorship Embeddings to Understand Writing Style in Social Media. CLEF Javier Huertas-Tato, Alejandro Martín, David Camacho
2022	—	`conf`	AIDA-UPM at SemEval-2022 Task 5: Exploring Multimodal Late Information Fusion for Multimedia Automatic Misogyny Identification. SemEval@NAACL Álvaro Huertas-García, Helena Liz, Guillermo Villar-Rodríguez, Alejandro Martín, Javier Huertas-Tato, David Camacho
2022	—	`conf`	Android Malware Detection Through a Pre-trained Model for Code Understanding. UCAmI Eva García-Soto, Alejandro Martín, Javier Huertas-Tato, David Camacho
2022	J	`jnl`	BERTuit: Understanding Spanish language in Twitter through a native transformer. CoRR Javier Huertas-Tato, Alejandro Martín, David Camacho
2022	J	`jnl`	Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word Camouflage. CoRR Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
2022	J	`jnl`	Deep learning for understanding multilabel imbalanced Chest X-ray datasets. CoRR Helena Liz, Javier Huertas-Tato, Manuel A. Sánchez-Montañés, Javier Del Ser, David Camacho
2022	J	`jnl`	Exploring Dimensionality Reduction Techniques in Multilingual Transformers. CoRR Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
2022	J	`jnl`	FacTeR-Check: Semi-automated fact-checking through semantic similarity and natural language inference. Knowl. Based Syst. Alejandro Martín, Javier Huertas-Tato, Álvaro Huertas-García, Guillermo Villar-Rodríguez, David Camacho
2022	J	`jnl`	Fusing CNNs and statistical indicators to improve image classification. Inf. Fusion Javier Huertas-Tato, Alejandro Martín, Julian Fiérrez, David Camacho
2022	B	`conf`	Generating Authorship Embeddings with Transformers. IJCNN Javier Huertas-Tato, Alejandro Martín, Álvaro Huertas-García, David Camacho
2022	J	`jnl`	PART: Pre-trained Authorship Representation Transformer. CoRR Javier Huertas-Tato, Álvaro Huertas-García, Alejandro Martín, David Camacho
2022	J	`jnl`	SILT: Efficient transformer training for inter-lingual inference. Expert Syst. Appl. Javier Huertas-Tato, Alejandro Martín, David Camacho
2022	J	`jnl`	Using a Multi-view Convolutional Neural Network to monitor solar irradiance. Neural Comput. Appl. Javier Huertas-Tato, Inés María Galván, Ricardo Aler, Francisco J. Rodríguez-Benítez, David Pozo-Vázquez
2021	—	`conf`	CIVIC-UPM at CheckThat! 2021: Integration of Transformers in Misinformation Detection and Topic Classification. CLEF (Working Notes) Álvaro Huertas-García, Javier Huertas-Tato, Alejandro Martín, David Camacho
2021	C	`conf`	Countering Misinformation Through Semantic-Aware Multilingual Models. IDEAL Álvaro Huertas-García, Javier Huertas-Tato, Alejandro Martín, David Camacho
2021	J	`jnl`	Evolutionary-based prediction interval estimation by blending solar radiation forecasting models using meteorological weather types. Appl. Soft Comput. Inés María Galván, Javier Huertas-Tato, Francisco J. Rodríguez-Benítez, Clara Arbizu-Barrena, David Pozo-Vázquez, Ricardo Aler
2021	J	`jnl`	FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference. CoRR Alejandro Martín, Javier Huertas-Tato, Álvaro Huertas-García, Guillermo Villar-Rodríguez, David Camacho
2021	—	`conf`	Profiling Hate Speech Spreaders on Twitter: Transformers and mixed pooling. CLEF (Working Notes) Álvaro Huertas-García, Javier Huertas-Tato, Alejandro Martín, David Camacho
2021	J	`jnl`	SML: a new Semantic Embedding Alignment Transformer for efficient cross-lingual Natural Language Inference. CoRR Javier Huertas-Tato, Alejandro Martín, David Camacho
2020	—	`conf`	An Adaptive Cognitive Model to Integrate Machine Learning and Visual Streaming Data. SOCO Esteban García-Cuesta, José Manuel López-López, Daniel Gómez-Vergel, Javier Huertas-Tato
2020	—	`conf`	Cloud Type Identification Using Data Fusion and Ensemble Learning. IDEAL (2) Javier Huertas-Tato, Alejandro Martín, David Camacho
2020	J	`jnl`	Fusion of CNNs and statistical indicators to improve image classification. CoRR Javier Huertas-Tato, Alejandro Martín, Julian Fiérrez, David Camacho
2018	Misc	`conf`	Predicting Global Irradiance Combining Forecasting Models Through Machine Learning. HAIS Javier Huertas-Tato, Ricardo Aler, Francisco J. Rodríguez-Benítez, Clara Arbizu-Barrena, David Pozo-Vázquez, Inés María Galván
2018	—	`conf`	Studying the Effect of Measured Solar Power on Evolutionary Multi-objective Prediction Intervals. IDEAL (2) Rubén Martín-Vázquez, Javier Huertas-Tato, Ricardo Aler, Inés María Galván