Publications

Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio (2025). Shedding Light Inside the Black Box: Techniques for Explainable Artificial Intelligence in Healthcare. Explainable Machine Intelligence in Healthcare, To appear, 2025.

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Riccardo Cantini, Alessio Orsino, Domenico Talia, Paolo Trunfio (2025). Towards Interpretable Energy Estimation for Edge AI Applications. 3rd International Workshop on Intelligent and Adaptive Edge-Cloud Operations and Services, 39th IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2025, June 2025.

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Riccardo Cantini, Giada Cosenza, Alessio Orsino, Domenico Talia (2025). Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation. 27th International Conference on Discovery Science (DS2024), Lecture Notes in Computer Science, vol 15243, January 2025, pp. 52-68.

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Riccardo Cantini, Cristian Cosentino, Irene Kilanioti, Fabrizio Marozzo, Domenico Talia (2025). Unmasking Deception: A Topic-Oriented Multimodal Approach to Uncover False Information on Social Media. Machine Learning, vol. 114, no. 1, 2025.

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Riccardo Cantini, Cristian Cosentino, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio (2024). Harnessing prompt-based large language models for disaster monitoring and automated reporting from social media feedback. Online Social Networks and Media, vol. 45, 2024.

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Paolo Lindia, Riccardo Cantini, Francesco Bettucci, Luigi Sartori, Paolo Trunfio (2024). Enhancing the Evaluation of Fault Detection Models in Smart Agriculture Using LLM Agents for Rule-Based Anomaly Generation. 1st Workshop on Green-Aware Artificial Intelligence, 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024), November 2024.

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Riccardo Cantini, Giada Cosenza, Alessio Orsino, Domenico Talia (2024). Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation. arXiv:2407.08441, 2024.

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Riccardo Cantini, Cristian Cosentino, Fabrizio Marozzo (2024). Multi-dimensional Classification on Social Media Data for Detailed Reporting with Large Language Models. International Conference on Artificial Intelligence Applications and Innovations (AIAI2024), June 2024, pp. 100-114.

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Riccardo Cantini, Alessio Orsino, Domenico Talia (2024). XAI-driven Knowledge Distillation of Large Language Models for Efficient Deployment on Low-Resource Devices. Journal of Big Data, vol. 11, no. 1, 2024.

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Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio (2024). Detecting mental disorder on social media: a ChatGPT-augmented explainable approach. arXiv:2401.17477, 2024.

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Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio, Rosa M. Badia, Jorge Ejarque, Fernando V. Novoa (2024). Block size estimation for data partitioning in HPC applications using machine learning techniques. Journal of Big Data, vol. 11, no. 1, 2024.

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Riccardo Cantini, Cristian Cosentino, Irene Kilanioti, Fabrizio Marozzo, Domenico Talia (2023). Unmasking COVID-19 False Information on Twitter: a Topic-based Approach with BERT. 26th International Conference on Discovery Science (DS2023), Lecture Notes in Computer Science, vol 14276, October 2023, pp. 126-140.

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Domenico Talia, Paolo Trunfio, Fabrizio Marozzo, Loris Belcastro, Riccardo Cantini, Alessio Orsino (2023). Programming Big Data Applications: Scalable Tools and Frameworks for Your Needs. World Scientific, 2023, ISBN: 978-1-80061-504-5.

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Alessio Orsino, Riccardo Cantini, Fabrizio Marozzo (2023). Evaluating the performance of a multimodal speaker tracking system at the edge-to-cloud continuum. Device-Edge-Cloud Continuum - Paradigms, Architectures and Applications, pp. 155-166, 2023.

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Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino (2023). Deep learning meets smart agriculture: using LSTM networks to handle anomalous and missing sensor data in the compute continuum. Device-Edge-Cloud Continuum - Paradigms, Architectures and Applications, pp. 141-153, 2023.

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Riccardo Cantini, Fabrizio Marozzo (2022). Topic Detection and Tracking in Social Media Platforms. EAI International Conference on Pervasive knowledge and collective intelligence on Web and Social Media, November 2022. Springer Nature, 2023, pp. 41–56.

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Loris Belcastro, Francesco Branda, Riccardo Cantini, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio (2022). Analyzing voter behavior on social media during the 2020 US presidential election campaign. Social Network Analysis and Mining, vol. 12, no. 1, 2022.

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Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio (2022). Programming Big Data Analysis: Principles and Solutions. Journal of Big Data, vol. 9, no. 1, 2022.

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Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo (2022). Knowledge Discovery From Large Amounts Of Social Media Data. Applied Sciences, vol.12, no. 3, 2022.

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Riccardo Cantini, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio (2022). Analyzing Political Polarization on Social Media by Deleting Bot Spamming. Big Data and Cognitive Computing, vol.6, no. 1, 2022.

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Riccardo Cantini, Fabrizio Marozzo, Silvio Mazza, Domenico Talia, Paolo Trunfio (2021). A Weighted Artificial Bee Colony Algorithm for Influence Maximization. Online Social Networks and Media, vol. 26, p. 100167, 2021.

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Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Martina Passarelli, Paolo Trunfio (2021). A visual tool for reducing returns in e-commerce platforms. 6th International Research and Technologies for Society and Industry Innovation for a smart world (IEEE RTSI 2021), September 2021. IEEE, 2021, pp. 474–479.

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Riccardo Cantini, Fabrizio Marozzo, Giovanni Bruno, Paolo Trunfio (2021). Learning sentence-to-hashtags semantic mapping for hashtag recommendation on microblogs. ACM Transactions on Knowledge Discovery from Data, vol. 16, no. 2, Sep. 2021.

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Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio (2021). Exploiting Machine Learning For Improving In-Memory Execution of Data-Intensive Workflows on Parallel Machines. Future Internet, vol. 13, no. 5, 2021.

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Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo, Paolo Trunfio, Domenico Talia (2020). Learning Political Polarization on Social Media Using Neural Networks. IEEE Access, vol. 8, pp. 47177-47187, 2020.

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Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo, Paolo Trunfio, Domenico Talia (2019). Discovering Political Polarization on Social Media: A Case Study. 15th International Conference on Semantics, Knowledge and Grids (SKG19), September, 2019. IEEE, 2019, pp. 182-189.

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