Publications

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), October 2023, to appear.

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, 2023, to appear.

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, 2023, to appear.

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, p. 83, 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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Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio (2021). Programming Big Data Analysis: Principles and Solutions. Journal of Big Data, vol.9, no. 1, pp. 1-50, 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. 100 167, 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, pp. 1–26, 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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