Javier Huertas-Tato

Orcid: 0000-0003-4127-5505

According to our database1, Javier Huertas-Tato authored at least 29 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Generation and detection of manipulated multimodal audiovisual content: Advances, trends and open challenges.
Inf. Fusion, March, 2024

Spain on fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information.
Knowl. Based Syst., January, 2024

Camouflage is all you need: Evaluating and Enhancing Language Model Robustness Against Camouflage Adversarial Attacks.
CoRR, 2024

2023
BERTuit: Understanding Spanish language in Twitter with transformers.
Expert Syst. J. Knowl. Eng., November, 2023

Countering malicious content moderation evasion in online social networks: Simulation and detection of word camouflage.
Appl. Soft Comput., September, 2023

Deep learning for understanding multilabel imbalanced Chest X-ray datasets.
Future Gener. Comput. Syst., July, 2023

Exploring Dimensionality Reduction Techniques in Multilingual Transformers.
Cogn. Comput., March, 2023

Understanding writing style in social media with a supervised contrastively pre-trained transformer.
CoRR, 2023

Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word CamouflageS.
Proceedings of the Workshop on NLP applied to Misinformation co-located with 39th International Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

Using Authorship Embeddings to Understand Writing Style in Social Media.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

2022
Using a Multi-view Convolutional Neural Network to monitor solar irradiance.
Neural Comput. Appl., 2022

FacTeR-Check: Semi-automated fact-checking through semantic similarity and natural language inference.
Knowl. Based Syst., 2022

Fusing CNNs and statistical indicators to improve image classification.
Inf. Fusion, 2022

SILT: Efficient transformer training for inter-lingual inference.
Expert Syst. Appl., 2022

PART: Pre-trained Authorship Representation Transformer.
CoRR, 2022

BERTuit: Understanding Spanish language in Twitter through a native transformer.
CoRR, 2022

Android Malware Detection Through a Pre-trained Model for Code Understanding.
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022

AIDA-UPM at SemEval-2022 Task 5: Exploring Multimodal Late Information Fusion for Multimedia Automatic Misogyny Identification.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Generating Authorship Embeddings with Transformers.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
SML: a new Semantic Embedding Alignment Transformer for efficient cross-lingual Natural Language Inference.
CoRR, 2021

Evolutionary-based prediction interval estimation by blending solar radiation forecasting models using meteorological weather types.
Appl. Soft Comput., 2021

Countering Misinformation Through Semantic-Aware Multilingual Models.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

Profiling Hate Speech Spreaders on Twitter: Transformers and mixed pooling.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

CIVIC-UPM at CheckThat! 2021: Integration of Transformers in Misinformation Detection and Topic Classification.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020
Fusion of CNNs and statistical indicators to improve image classification.
CoRR, 2020

An Adaptive Cognitive Model to Integrate Machine Learning and Visual Streaming Data.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

Cloud Type Identification Using Data Fusion and Ensemble Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

2018
Studying the Effect of Measured Solar Power on Evolutionary Multi-objective Prediction Intervals.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Predicting Global Irradiance Combining Forecasting Models Through Machine Learning.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018


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