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Marco Minici
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2020 – today
- 2024
- [j2]Massimo Guarascio, Marco Minici, Francesco Sergio Pisani, Erika De Francesco, Pasquale Lambardi:
Movie tag prediction: An extreme multi-label multi-modal transformer-based solution with explanation. J. Intell. Inf. Syst. 62(4): 1021-1043 (2024) - [j1]Erica Coppolillo, Marco Minici, Ettore Ritacco, Luciano Caroprese, Francesco Sergio Pisani, Giuseppe Manco:
Balanced Quality Score: Measuring Popularity Debiasing in Recommendation. ACM Trans. Intell. Syst. Technol. 15(4): 74:1-74:27 (2024) - [c9]Luca Caviglione, Carmela Comito, Erica Coppolillo, Daniela Gallo, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Marco Minici, Simone Mungari, Francesco Sergio Pisani, Ettore Ritacco, Antonino Rullo, Paolo Zicari, Marco Zuppelli:
Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity. Ital-IA 2024: 170-175 - [c8]Giovanni Mauro, Marco Minici, Chiara Pugliese:
A Preliminary Investigation of User- and Item-Centered Bias in POI Recommendation. MDM 2024: 277-282 - [i6]Marco Minici, Federico Cinus, Francesco Bonchi, Giuseppe Manco:
Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance. CoRR abs/2407.15643 (2024) - [i5]Marco Minici, Luca Luceri, Federico Cinus, Emilio Ferrara:
Uncovering Coordinated Cross-Platform Information Operations Threatening the Integrity of the 2024 U.S. Presidential Election Online Discussion. CoRR abs/2409.15402 (2024) - [i4]Erica Coppolillo, Simone Mungari, Ettore Ritacco, Francesco Fabbri, Marco Minici, Francesco Bonchi, Giuseppe Manco:
Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences. CoRR abs/2409.16478 (2024) - 2023
- [c7]Erica Coppolillo, Massimo Guarascio, Marco Minici, Francesco Sergio Pisani:
Exploiting Deep Learning and Explanation Methods for Movie Tag Prediction. IDEAS 2023: 177-184 - [c6]Erica Coppolillo, Carmela Comito, Marco Minici, Ettore Ritacco, Gianluigi Folino, Francesco Sergio Pisani, Massimo Guarascio, Giuseppe Manco:
Fighting Misinformation, Radicalization and Bias in Social Media. Ital-IA 2023: 443-448 - [i3]Angelica Liguori, Luciano Caroprese, Marco Minici, Bruno Veloso, Francesco Spinnato, Mirco Nanni, Giuseppe Manco, João Gama:
Modeling Events and Interactions through Temporal Processes - A Survey. CoRR abs/2303.06067 (2023) - 2022
- [c5]Marco Minici, Federico Cinus, Corrado Monti, Francesco Bonchi, Giuseppe Manco:
Cascade-based Echo Chamber Detection. CIKM 2022: 1511-1520 - [c4]Federico Cinus, Marco Minici, Corrado Monti, Francesco Bonchi:
The Effect of People Recommenders on Echo Chambers and Polarization. ICWSM 2022: 90-101 - [c3]Marco Minici, Francesco Sergio Pisani, Massimo Guarascio, Erika De Francesco, Pasquale Lambardi:
Learning and Explanation of Extreme Multi-label Deep Classification Models for Media Content. ISMIS 2022: 138-148 - [c2]Marco Minici, Francesco Sergio Pisani, Massimo Guarascio, Giuseppe Manco:
Towards Extreme Multi-Label Classification of Multimedia Content. SEBD 2022: 367-374 - [i2]Marco Minici, Federico Cinus, Corrado Monti, Francesco Bonchi, Giuseppe Manco:
Cascade-based Echo Chamber Detection. CoRR abs/2208.04620 (2022) - 2021
- [c1]Luciano Caroprese, Giuseppe Manco, Marco Minici, Francesco Sergio Pisani, Ettore Ritacco:
Unbiasing Collaborative Filtering for Popularity-Aware Recommendation (Discussion Paper). SEBD 2021: 450-457 - [i1]Federico Cinus, Marco Minici, Corrado Monti, Francesco Bonchi:
The Effect of People Recommenders on Echo Chambers and Polarization. CoRR abs/2112.00626 (2021)
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