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2020 – today
- 2025
[j14]Guillermo Villar-Rodríguez, Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho:
DisTrack: A New Tool For Semi-automatic Misinformation Tracking in Online Social Networks. Cogn. Comput. 17(1): 12 (2025)- [j13]Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho:
Camouflage Is All You Need: Evaluating and Enhancing Transformer Models Robustness Against Camouflage Adversarial Attacks. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 431-443 (2025) - [i16]Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín, David Camacho:
Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection. CoRR abs/2501.03940 (2025) - [i15]Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín, David Camacho:
On the locality bias and results in the Long Range Arena. CoRR abs/2501.14850 (2025) - 2024
- [j12]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: 102103 (2024) - [j11]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: 111198 (2024) - [j10]Javier Huertas-Tato, Alejandro Martín, David Camacho:
Understanding writing style in social media with a supervised contrastively pre-trained transformer. Knowl. Based Syst. 296: 111867 (2024) - [c16]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: 1-9 - [c15]María Valero-Redondo, Javier Huertas-Tato, Sergio D'Antonio-Maceiras, Alejandro Martín, David Camacho:
Using Contrastive Learning to Map Stylistic Similarities in Narrative Writers. IDEAL (1) 2024: 63-74 - [c14]Adrian Giron-Jimenez, Javier Huertas-Tato, David Camacho:
Multimodal Visio-Lingual Content Analysis to Detect Fake Content on Reddit. IDEAL (1) 2024: 143-154 - [c13]Javier Huertas-Tato, Christos Koutlis, Symeon Papadopoulos, David Camacho, Ioannis Kompatsiaris:
A CLIP-based Siamese Approach for Meme Classification. IJCNN 2024: 1-8 - [i14]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 abs/2402.09874 (2024) - [i13]Guillermo Villar-Rodríguez, Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho:
DisTrack: a new Tool for Semi-automatic Misinformation Tracking in Online Social Networks. CoRR abs/2408.00633 (2024) - [i12]Javier Huertas-Tato, Christos Koutlis, Symeon Papadopoulos, David Camacho, Ioannis Kompatsiaris:
A CLIP-based siamese approach for meme classification. CoRR abs/2409.05772 (2024) - [i11]Javier Huertas-Tato, Adrian Giron-Jimenez, Alejandro Martín, David Camacho:
Isolating authorship from content with semantic embeddings and contrastive learning. CoRR abs/2411.18472 (2024) - 2023
- [j9]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: 110552 (2023) - [j8]Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho:
Exploring Dimensionality Reduction Techniques in Multilingual Transformers. Cogn. Comput. 15(2): 590-612 (2023) - [j7]Javier Huertas-Tato, Alejandro Martín, David Camacho:
BERTuit: Understanding Spanish language in Twitter with transformers. Expert Syst. J. Knowl. Eng. 40(9) (2023) - [j6]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: 291-306 (2023) - [c12]Javier Huertas-Tato, Alejandro Martín, David Camacho:
Using Authorship Embeddings to Understand Writing Style in Social Media. CLEF 2023: 60-71 - [c11]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: 10-14 - [i10]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 abs/2306.05045 (2023) - [i9]Javier Huertas-Tato, Alejandro Martín, David Camacho:
Understanding writing style in social media with a supervised contrastively pre-trained transformer. CoRR abs/2310.11081 (2023) - 2022
- [j5]Javier Huertas-Tato, Alejandro Martín, David Camacho:
SILT: Efficient transformer training for inter-lingual inference. Expert Syst. Appl. 200: 116923 (2022) - [j4]Javier Huertas-Tato, Alejandro Martín, Julian Fiérrez, David Camacho:
Fusing CNNs and statistical indicators to improve image classification. Inf. Fusion 79: 174-187 (2022) - [j3]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: 109265 (2022) - [j2]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): 10295-10307 (2022) - [c10]Javier Huertas-Tato, Alejandro Martín, Álvaro Huertas-García, David Camacho:
Generating Authorship Embeddings with Transformers. IJCNN 2022: 1-8 - [c9]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: 771-779 - [c8]Eva García-Soto, Alejandro Martín, Javier Huertas-Tato, David Camacho:
Android Malware Detection Through a Pre-trained Model for Code Understanding. UCAmI 2022: 1055-1060 - [i8]Javier Huertas-Tato, Alejandro Martín, David Camacho:
BERTuit: Understanding Spanish language in Twitter through a native transformer. CoRR abs/2204.03465 (2022) - [i7]Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho:
Exploring Dimensionality Reduction Techniques in Multilingual Transformers. CoRR abs/2204.08415 (2022) - [i6]Helena Liz, Javier Huertas-Tato, Manuel A. Sánchez-Montañés, Javier Del Ser, David Camacho:
Deep learning for understanding multilabel imbalanced Chest X-ray datasets. CoRR abs/2207.14408 (2022) - [i5]Javier Huertas-Tato, Álvaro Huertas-García, Alejandro Martín, David Camacho:
PART: Pre-trained Authorship Representation Transformer. CoRR abs/2209.15373 (2022) - [i4]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 abs/2212.14727 (2022) - 2021
- [j1]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: 107531 (2021) - [c7]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: 520-530 - [c6]Álvaro Huertas-García, Javier Huertas-Tato, Alejandro Martín, David Camacho:
Profiling Hate Speech Spreaders on Twitter: Transformers and mixed pooling. CLEF (Working Notes) 2021: 1963-1975 - [c5]Álvaro Huertas-García, Javier Huertas-Tato, Alejandro Martín, David Camacho:
Countering Misinformation Through Semantic-Aware Multilingual Models. IDEAL 2021: 312-323 - [i3]Javier Huertas-Tato, Alejandro Martín, David Camacho:
SML: a new Semantic Embedding Alignment Transformer for efficient cross-lingual Natural Language Inference. CoRR abs/2103.09635 (2021) - [i2]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 abs/2110.14532 (2021) - 2020
- [c4]Javier Huertas-Tato, Alejandro Martín, David Camacho:
Cloud Type Identification Using Data Fusion and Ensemble Learning. IDEAL (2) 2020: 137-147 - [c3]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: 176-185 - [i1]Javier Huertas-Tato, Alejandro Martín, Julian Fiérrez, David Camacho:
Fusion of CNNs and statistical indicators to improve image classification. CoRR abs/2012.11049 (2020)
2010 – 2019
- 2018
- [c2]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: 622-633 - [c1]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: 155-162
Coauthor Index
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last updated on 2025-02-27 23:49 CET by the dblp team
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