Publications

Journals

2025

DisTrack: A New Tool For Semi-automatic Misinformation Tracking in Online Social Networks

Villar-Rodríguez, G., Huertas-García, Á., Martín, A., Huertas-Tato, J., & Camacho, D. (2025). DisTrack: A New Tool For Semi-automatic Misinformation Tracking in Online Social Networks. Cognitive Computation, 17(1), 1-18.

On the Integration of Large-Scale Time Series Distance Matrices Into Deep Visual Analytic Tools

Santamaria-Valenzuela, I., Rodriguez-Fernandez, V., & Camacho, D. (2025). On the Integration of Large-Scale Time Series Distance Matrices Into Deep Visual Analytic Tools. Cognitive Computation, 17(1), 1-18.

Bi‐LORA: A Vision‐Language Approach for Synthetic Image Detection

Keita, M., Hamidouche, W., Bougueffa Eutamene, H., Taleb‐Ahmed, A., Camacho, D., & Hadid, A. (2025). Bi‐LORA: A Vision‐Language Approach for Synthetic Image Detection. Expert Systems, 42(2), e13829.

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, Spain on fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information, Knowledge-Based Systems, Volume 283, 2024, 111198, ISSN 0950-7051.

Generation and detection of manipulated multimodal audiovisual content: advances, trends and open challenges

Helena Liz-López, Mamadou Keita, Abdelmalik Liz-Lopez, H., Keita, M., Taleb-Ahmed, A., Hadid, A., Huertas-Tato, J., & Camacho, D. (2024). Generation and detection of manipulated multimodal audiovisual content: Advances, trends and open challenges. Information Fusion, 103, 102103.

Understanding writing style in social media with a supervised contrastively pre-trained transformer

Huertas-Tato, J., Martín, A., & Camacho, D. (2024). Understanding writing style in social media with a supervised contrastively pre-trained transformer. Knowledge-Based Systems, 296, 111867.

Camouflage Is All You Need: Evaluating and Enhancing Transformer Models Robustness Against Camouflage Adversarial Attacks

Huertas-García, Á., Martín, A., Huertas-Tato, J., & Camacho, D. (2024). Camouflage Is All You Need: Evaluating and Enhancing Transformer Models Robustness Against Camouflage Adversarial Attacks. IEEE Transactions on Emerging Topics in Computational Intelligence.

PART: Pre-trained Authorship Representation Transformer

Javier Huertas-Tato, Álvaro Huertas-García, Alejandro Martín, David Camacho. PART: Pre-trained Authorship Representation Transformer. Human-centric Computing and Information Sciences. ISSN: N/A, eISSN: 2192-1962. Pp. 1-26, 2024.

Advances in AI-Generated Images and Videos

Bougueffa, Hessen; Keita, Mamadou; Hamidouche, Wassim; Taleb-Ahmed, Abdelmalik; Liz-López, Helena; Martín, Alejandro; Camacho, David; Hadid, Abdenour (2024). Advances in AI-Generated Images and Videos. International Journal of Interactive Multimedia & Artificial Intelligence, 9(1).

2023

Recent trends and advances in machine learning challenges and applications for industry 4.0

Rodriguez‐Fernandez, V., & Camacho, D. (2024). Recent trends and advances in machine learning challenges and applications for industry 4.0. Expert Systems, 41(2), e13506.

Studying fake news spreading, polarisation dynamics, and manipulation by bots: A tale of networks and language

Ruffo, G., Semeraro, A., Giachanou, A., & Rosso, P. (2023). Studying fake news spreading, polarisation dynamics, and manipulation by bots: A tale of networks and language. Computer science review, 47, 100531.

Conferences

2025

Divergent Emotional Patterns in Disinformation on Social Media? An Analysis of Tweets and TikToks about the DANA in Valencia

Arcos I., Rosso P., Salaverría R. (2025) Divergent Emotional Patterns in Disinformation on Social Media? An Analysis of Tweets and TikToks about the DANA in Valencia. In: ICAART-2025, Proc. 17th Int. Conf. on Agents and Artificial Intelligence, Feb. 23.

2024

Harnessing the Power of Large Vision Language Models for Synthetic Image Detection

Keita, W. Hamidouche, H. Bougueffa, A. Taleb-Ahmed, A. Hadid. Harnessing the power of large vision language models for synthetic image detection. IEEE ICASSP 2024 (https://2024.ieeeicassp.org), in Seoul, Korea on April 14-19, 2024.

Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word Camouflage

Álvaro Huertas-García, Alejandro Martin, Javier Huertas-Tato, David Camacho. Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word Camouflage. Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA’24). A Coruña, España, 19-21 de Junio, 2024.

FacTeR-Check: Semi-automated Fact-checking through Semantic Similarity and Natural Language Inference

Martín, A., Huertas-Tato, J., Huertas-García, Á., Villar-Rodríguez, G., & Camacho, D. (2024). FacTeR-Check: Semi-automated Fact-checking through Semantic Similarity and Natural Language Inference. XV Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2024) (short paper). June 17-21, 2024, Coruña. A Coruña, España, 19-21 de Junio, 2024.

DeepVATS: A tool for Deep Learning Visual Analytics on Large Time Series Data

María Inmaculada Santama-ría Valenzuela, Victor Rodriguez-Fernandez, John Hyuk Park and David Camacho. DeepVATS: A tool for Deep Learning Visual Analytics on Large Time Series Data. Keywork (short paper). Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA’24). A Coruña, España, 19-21 de Junio, 2024.

Ensembling Nor-malized Log Probabilities

Pablo Miralles, Alejandro Martín, David Camacho. Team aida at PAN: Ensembling Nor-malized Log Probabilities». In PAN Lab on Digital Text Forensics and Stylometry. CLEF 2024 Conference and Labs of the Evaluation Forum Information Access Evaluation meets Multilinguality, Multimodality, and Visualization. 9-12 September 2024, Grenoble – France. Pp. 1-7.

A Study on NLP Model Ensembles and Data Augmentation Techniques for Separating Critical Thinking from Conspiracy Theories in English Texts

Iñaki del Campo Sánchez-Hermosilla, Angel Panizo-Lledot, David Camacho. A Study on NLP Model Ensembles and Data Augmentation Techniques for Separating Critical Thinking from Conspiracy Theories in English Texts». In PAN Lab on Digital Text Forensics and Stylometry. CLEF 2024 Conference and Labs of the Evaluation Forum Information Access Evaluation meets Multilinguality, Multimodality, and Visualization. 9-12 September 2024, Grenoble – France. Pp. 1-6.

Literature Review: Combining Machine Learning with Social Network Analysis Features

Rahmouni, M., Kodad, M., Camacho, D., & Barboucha, H. (2024, April). Literature Review: Combining Machine Learning with Social Network Analysis Features. In International Conference on Smart Medical, IoT & Artificial Intelligence (pp. 71-80). Cham: Springer Nature Switzerland.

Deepfake Detection via a Progressive Attention Network

Guo, S., Gao, M., Li, Q., Jeon, G., & Camacho, D. (2024, June). Deepfake Detection via a Progressive Attention Network. In 2024 International Joint Conference on Neural Networks (IJCNN) (pp. 1-6). IEEE.

A CLIP-based siamese approach for meme classification

Huertas-Tato, J., Koutlis, C., Papadopoulos, S., Camacho, D., & Kompatsiaris, I. (2024, June). A CLIP-based siamese approach for meme classification. In 2024 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.

Exploring scalability in large-scale time series in DeepVATS framework

Santamaria-Valenzuela, I., Rodriguez-Fernandez, V., & Camacho, D. (2024, July). Exploring scalability in large-scale time series in DeepVATS framework. In Conference on Information Technology and its Applications (pp. 244-255). Cham: Springer Nature Switzerland.

Analysis of Climate Change Misleading Information in TikTok

Clara Baltasar, Sergio D’Antonio Maceiras, Alejandro Martín, David Camacho. Analysis of Climate Change Misleading Information in TikTok. In Proceedings of the 1st Workshop on COuntering Disinformation with Artificial Intelligence (CODAI), co-located with the 27th European Conference on Artificial Intelligence (ECAI), pages 54–61, October 20, 2024, Santiago de Compostela, Spain.

Multimodal Visio-Lingual Content Analysis to Detect Fake Content on Reddit

Girón, A., Huertas-Tato, J., & Camacho, D. (2024, November). Multimodal Visio-Lingual Content Analysis to Detect Fake Content on Reddit. In the International Conference on Intelligent Data Engineering and Automated Learning (pp. 143-154). Cham: Springer Nature Switzerland.

Using Contrastive Learning to Map Stylistic Similarities in Narrative Writers

Valero-Redondo, M., Huertas-Tato, J., Maceiras, S. D. A., Martín, A., & Camacho, D. (2024, November). Using Contrastive Learning to Map Stylistic Similarities in Narrative Writers. In International Conference on Intelligent Data Engineering and Automated Learning (pp. 63-74). Cham: Springer Nature Switzerland.

Topic Modeling in Telegram Channels During the Russia-Ukraine Conflict

Tretiakov, A., D’Antonio-Maceiras, S., & Martín, A. (2024, November). Topic Modeling in Telegram Channels During the Russia-Ukraine Conflict. In International Conference on Intelligent Data Engineering and Automated Learning (pp. 493-504). Cham: Springer Nature Switzerland.

On the Categorization of Corporate Multimodal Disinformation with Large Language Models

Bucur A., GonÇalves S., Rosso P. (2024) On the Categorization of Corporate Multimodal Disinformation with Large Language Models. In: Proc. of the First Workshop on COuntering Disinformation with Artificial Intelligence (CODAI 2024) co-located with European Conf. on Artificial Intelligence 2024 (ECAI 2024), Santiago de Compostela, Spain, 20 October, Workshop Proceedings, CEUR-WS.org, vol. 3782, pp. 29-39.

2023

Transparency in Ensembles: XAI-Based visualisation for Understanding Multilabel Classification from Within

Helena Liz-López, Javier Huertas-Tato, David Camacho. Transparency in Ensembles: XAI-Based visualisation for Understanding Multilabel Classification from Within. In 2023, The 12th International Conference on Smart Media and Applications (SMA).

Exploring Multiple Classification Systems for Online Time Series Anomaly Detection

Santamaria-Valenzuela, I., Rodriguez-Fernandez, V., & Camacho, D. (2023, September). Exploring Multiple Classification Systems for Online Time Series Anomaly Detection. In 2023 International Conference on Network, Multimedia and Information Technology (NMITCON) (pp. 1-6). IEEE.

Using authorship embeddings to understand writing style in social media

Huertas-Tato, J., Martín, A., & Camacho, D. (2023, September). Using Authorship Embeddings to Understand Writing Style in Social Media. In International Conference of the Cross-Language Evaluation Forum for European Languages (pp. 60-71). Cham: Springer Nature Switzerland.

Measuring the relationship between the use of typical Manosphere discourse and the engagement of a user with the pick-up artist community

Torregrosa, J., Panizo-LLedot, Á., D’Antonio-Maceiras, S., & Camacho, D. (2023, November). Measuring the Relationship Between the Use of Typical Manosphere Discourse and the Engagement of a User with the Pick-Up Artist Community. In International Conference on Intelligent Data Engineering and Automated Learning (pp. 303-310). Cham: Springer Nature Switzerland.

Transparency in Medicine: How eXplainable AI is Revolutionizing Patient Care

Liz-López, H., Huertas-Tato, J., & Camacho, D. (2023, September). Transparency in Medicine: How eXplainable AI is Revolutionizing Patient Care. In 2023 International Conference on Network, Multimedia and Information Technology (NMITCON) (pp. 1-6). IEEE.

Transparency in Ensembles: XAI-Based visualisation for Understanding Multilabel Classification from Within

Helena Liz-López, Javier Huertas-Tato, David Camacho. Transparency in Ensembles: XAI-Based visualisation for Understanding Multilabel Classification from Within. In 2023, The 12th International Conference on Smart Media and Applications (SMA).

Multilingual Detection of Check-Worthy Claims using World Languages and Adapter Fusion

Schlicht I., Flek L. Rosso P. (2023) Multilingual Detection of Check-Worthy Claims using World Languages and Adapter Fusion. En: Proc. 45th European Conf. on Information Retrieval, ECIR-2023, Springer-Verlag, LNCS(13980), pp. 118-133.

Tackling Covid-19 Conspiracies on Twitter using BERT Ensembles, GPT-3 Augmentation, and Graph NNs

Korencic D., Grubišic I., De La Peña Sarracén G., Toselli A.H., Chulvi B., Rosso P. (2023) Tackling Covid-19 Conspiracies on Twitter using BERT Ensembles, GPT-3 Augmentation, and Graph NNs. En: Working Notes Proceedings of the MediaEval 2022 Workshop Bergen, Norway and Online, 12-13 January https://ceur-ws.org/Vol-3583/.