Publications

Publications by Riccardo Cantini

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    To appear

  1. 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, 2024. Note: To appear.

    2. 2024

  2. R. Cantini, F. Marozzo, A. Orsino, "Deep learning meets smart agriculture: using LSTM networks to handle anomalous and missing sensor data in the compute continuum". In: Device-Edge-Cloud Continuum - Paradigms, Architectures and Applications, pp. 141-153, 2024.

  3. A. Orsino, R. Cantini, F. Marozzo, "Evaluating the performance of a multimodal speaker tracking system at the edge-to-cloud continuum". In: Device-Edge-Cloud Continuum - Paradigms, Architectures and Applications, pp. 155-166, 2024.

  4. D. Talia, P. Trunfio, F. Marozzo, L. Belcastro, R. Cantini, A. Orsino, Programming Big Data Applications: Scalable Tools and Frameworks for Your Needs, World Scientific, 2024. Note: ISBN: 978-1-80061-504-5.

  5. R. Cantini, F. Marozzo, A. Orsino, D. Talia, P. Trunfio, R. Badia, J. Ejarque, F. Vazquez-Novoa, "Block size estimation for data partitioning in HPC applications using machine learning techniques". Journal of Big Data, vol. 11, n. 19, 2024.

    6. 2023

  6. 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.

    7. 2022

  7. R. Cantini, F. Marozzo, G. Bruno, P. Trunfio, "Learning sentence-to-hashtags semantic mapping for hashtag recommendation on microblogs". ACM Transactions on Knowledge Discovery from Data, vol. 16, n. 2, pp. 1-26, 2022.

  8. L. Belcastro, R. Cantini, F. Marozzo, A. Orsino, D. Talia, P. Trunfio, "Programming Big Data Analysis: Principles and Solutions". Journal of Big Data, vol. 9, n. 4, 2022.

  9. R. Cantini, F. Marozzo, D. Talia, P. Trunfio, "Analyzing Political Polarization on Social Media by Deleting Bot Spamming". Big Data and Cognitive Computing, vol. 1, n. 6, 2022.

  10. L. Belcastro, R. Cantini, F. Marozzo, "Knowledge Discovery From Large Amounts Of Social Media Data". Applied Sciences, vol. 12, n. 3, 2022.

  11. L. Belcastro, F. Branda, R. Cantini, F. Marozzo, D. Talia, P. Trunfio, "Analyzing voter behavior on social media during the 2020 US presidential election campaign". Social Network Analysis and Mining, 2022.

  12. R. Cantini, F. Marozzo, "Topic Detection and Tracking in Social Media Platforms". EAI International Conference on Pervasive knowledge and collective intelligence on Web and Social Media (EAI PerSoM 2022), pp. 41-56, 2022.

    13. 2021

  13. R. Cantini, F. Marozzo, A. Orsino, M. Passarelli, P. Trunfio, "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), pp. 474-479, September 2021.

  14. R. Cantini, F. Marozzo, A. Orsino, D. Talia, P. Trunfio, "Exploiting Machine Learning For Improving In-memory Execution of Data-intensive Workflows on Parallel Machines". Future Internet, vol. 13, n. 5, 2021.

  15. R. Cantini, F. Marozzo, S. Mazza, D. Talia, P. Trunfio, "A Weighted Artificial Bee Colony Algorithm for Influence Maximization". Online Social Networks and Media, vol. 26, pp. 100167, 2021.

    16. 2020

  16. L. Belcastro, R. Cantini, F. Marozzo, D. Talia, P. Trunfio, "Learning Political Polarization on Social Media using Neural Networks". IEEE Access, vol. 8, n. 1, pp. 47177-47187, 2020.

    17. 2019

  17. L. Belcastro, R. Cantini, F. Marozzo, D. Talia, P. Trunfio, "Discovering Political Polarization on Social Media: A Case Study". 15th International Conference on Semantics, Knowledge and Grids (SKG), Guangzhou, China, pp. 182-189, 2019.