Riccardo Cantini
Orcid: 0000-0003-3053-6132
According to our database1,
Riccardo Cantini
authored at least 25 papers
between 2019 and 2025.
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Bibliography
2025
CoRR, July, 2025
Benchmarking Adversarial Robustness to Bias Elicitation in Large Language Models: Scalable Automated Assessment with LLM-as-a-Judge.
CoRR, April, 2025
Dynamic hashtag recommendation in social media with trend shift detection and adaptation.
CoRR, April, 2025
Unmasking deception: a topic-oriented multimodal approach to uncover false information on social media.
Mach. Learn., January, 2025
Harnessing prompt-based large language models for disaster monitoring and automated reporting from social media feedback.
Online Soc. Networks Media, 2025
Online Soc. Networks Media, 2025
Proceedings of the 2025 IEEE International Parallel and Distributed Processing Symposium, 2025
2024
Xai-driven knowledge distillation of large language models for efficient deployment on low-resource devices.
J. Big Data, December, 2024
Block size estimation for data partitioning in HPC applications using machine learning techniques.
J. Big Data, December, 2024
Multi-dimensional Classification on Social Media Data for Detailed Reporting with Large Language Models.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024
Enhancing the Evaluation of Fault Detection Models in Smart Agriculture Using LLM Agents for Rule-Based Anomaly Generation.
Proceedings of the 1st AIxIA Workshop on Green-Aware Artificial Intelligence co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024), 2024
Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation.
Proceedings of the Discovery Science - 27th International Conference, 2024
WorldScientific, ISBN: 9781800615069, 2024
2023
Proceedings of the Discovery Science - 26th International Conference, 2023
2022
Learning Sentence-to-Hashtags Semantic Mapping for Hashtag Recommendation on Microblogs.
ACM Trans. Knowl. Discov. Data, 2022
Analyzing voter behavior on social media during the 2020 US presidential election campaign.
Soc. Netw. Anal. Min., 2022
Block size estimation for data partitioning in HPC applications using machine learning techniques.
CoRR, 2022
Big Data Cogn. Comput., 2022
Proceedings of the Pervasive Knowledge and Collective Intelligence on Web and Social Media, 2022
2021
Online Soc. Networks Media, 2021
Exploiting Machine Learning for Improving In-Memory Execution of Data-Intensive Workflows on Parallel Machines.
Future Internet, 2021
Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021
2020
IEEE Access, 2020
2019
Proceedings of the 15th International Conference on Semantics, Knowledge and Grids, 2019