Publications by Cristian Cosentino

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    Papers in journals

  1. L. Belcastro, C. Carlucci, C. Cosentino, P. Lio, F. Marozzo, "Enhancing Network Security Using Knowledge Graphs and Large Language Models for Explainable Threat Detection". Future Generation Computer Systems, vol. 176, pp. 108160, 2026.

  2. F. Blefari, C. Cosentino, F. Pironti, A. Furfaro, F. Marozzo, "CyberRAG: An Agentic RAG cyber attack classification and reporting tool". Future Generation Computer Systems , vol. 176, pp. 108186, 2026.

  3. C. Cosentino, F. Folino, F. Marozzo, L. Pontieri, "Sustainable Hybrid Text Classification: Enhancing Encoder-Only Language Models with NLI-Derived Pseudo-Examples". Array, n. 29, pp. 100705, 2026.

  4. L. Belcastro, C. Cosentino, F. Marozzo, "Understanding Political Polarization with Generative AI: A Large-Scale Analysis of Voter Preferences on Social Media". IEEE Access, vol. 14, pp. 47389-47405, 2026.

  5. C. Cosentino, S. Gatto, P. Lio, F. Marozzo, "Machine Unlearning: A Perspective, Taxonomy, and Benchmark Evaluation". Future Internet, vol. 18, n. 3, pp. 174, 2026.

  6. C. Cosentino, M. Gunduz-Cure, F. Marozzo, S. Ozturk-Birim, "Interpreting User Opinions: A Multidimensional Approach Leveraging Explainable AI and Generative Models". Machine Learning, 2026. Note: To appear.

  7. R. Cantini, C. Cosentino, I. Kilanioti, F. Marozzo, D. Talia, "Unmasking Deception: A Topic-Oriented Multimodal Approach to Uncover False Information on Social Media". Machine Learning, vol. 114, n. 13, 2025.

  8. R. Cantini, C. Cosentino, F. Marozzo, D. Talia, P. Trunfio, "Harnessing Prompt-based Large Language Models for Disaster Monitoring and Automated Reporting from Social Media Feedback". Online Social Networks and Media, vol. 45, pp. 100295, 2025.

  9. L. Belcastro, C. Cosentino, F. Marozzo, M. Gunduz-Cure, S. Ozturk-Birim, "Multistakeholder Disaster Insights from Social Media Using Large Language Models". IEEE Transactions on Computational Social Systems, 2025.

  10. L. Belcastro, D. Carbone, C. Cosentino, F. Marozzo, P. Trunfio, "Enhancing Cryptocurrency Price Forecasting: Integrating Machine Learning with Social Media and Market Data". Algorithms, n. 12, 2023.


    11. Book chapters

  11. L. Belcastro, C. Cosentino, F. Marozzo, "Infrastructures for High-Performance Computing: Cloud Infrastructures". In: Reference Module in Life Sciences, Elsevier, 2024. Note: ISBN: 978-0-12-809633-8.

  12. C. Cosentino, F. Marozzo, P. Trunfio, "Infrastructures for High-Performance Computing: Cloud Computing Development Environments". In: Reference Module in Life Sciences, 2024. Note: ISBN: 978-0-12-809633-8.


    13. Papers in conference proceedings

  13. L. Belcastro, C. Cosentino, P. Lio, F. Marozzo, "Balanced and Token-Efficient Summarization of User Reviews via Stratified Sampling and Large Language Models". European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pp. 290–306, 2025.

  14. L. Belcastro, C. Cosentino, F. Marozzo, A. Presta, P. Trunfio, "Empowering Efficient Drone Monitoring with Low-Latency Edge-Cloud Continuum Platforms". 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2025), pp. 333-340, 2025.

  15. C. Cosentino, M. Gunduz-Cure, F. Marozzo, S. Ozturk-Birim, "From Reviews to Results: Generative AI for Review-Driven Product and Service Comparisons". 28th International Conference on Discovery Science (DS2025), pp. 78–93, 2025.

  16. R. Cantini, C. Cosentino, F. Marozzo, D. Talia, P. Trunfio, "Neural Topic Modeling in Social Media by Clustering Latent Hashtag Representations". 28th European Conference on Artificial Intelligence (ECAI-2025), pp. 146 - 153, 2025.

  17. F. Blefari, C. Cosentino, A. Furfaro, F. Marozzo, F. Pironti, "SecFlow: An Agentic LLM-Based Framework for Modular Cyberattack Analysis and Explainability". CEUR Workshop Proceedings 2025, vol. 4075, 2025.

  18. H. Georgenthum, C. Cosentino, F. Marozzo, P. Lio, "Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI". Machine Learning for Health Symposium (ML4H), 2025. Note: To appear.

  19. R. Cantini, C. Cosentino, F. Marozzo, "Multi-Dimensional Classification on Social Media Data for Detailed Reporting with Large Language Models". 20th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2024), pp. 100--114, 2024.

  20. C. Cosentino, M. Gunduz-Cure, F. Marozzo, S. Ozturk-Birim, "Exploiting Large Language Models for Enhanced Review Classification Explanations Through Interpretable and Multidimensional Analysis". 27th International Conference on Discovery Science (DS2024), pp. 3-18, 2024.

  21. R. Cantini, C. Cosentino, I. Kilanioti, F. Marozzo, D. Talia, "Unmasking COVID-19 False Information on Twitter: a Topic-based Approach with BERT". 26th International Conference on Discovery Science (DS2023), vol. 14276, pp. 126-140, 2023.


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