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2020 – today
- 2024
[c10]Fabio Pavanello, Cédric Marchand, Paul Jiménez, Xavier Letartre, Ricardo Chaves, Niccolò Marastoni, Alberto Lovato, Mariano Ceccato, George Papadimitriou, Vasileios Karakostas, Dimitris Gizopoulos, Roberta Bardini, Tzamn Melendez Carmona, Stefano Di Carlo, Alessandro Savino
, Laurence Lerch, Ulrich Rührmair, Sergio Vinagrero Gutierrez, Giorgio Di Natale, Elena Ioana Vatajelu:
Security Layers and Related Services within the Horizon Europe NEUROPULS Project. DATE 2024: 1-6- [c9]Anna Dalla Vecchia, Niccolò Marastoni, Elisa Quintarelli:
In Time Recommendations through an Associative Classifier and LookBackApriori: a Case Study. EDBT/ICDT Workshops 2024 - 2023
- [c8]Anna Dalla Vecchia, Niccolò Marastoni, Sara Migliorini, Barbara Oliboni, Elisa Quintarelli:
Mining Totally Ordered Sequential Rules to Provide Timely Recommendations. ADBIS (Short Papers) 2023: 197-207 - [c7]Niccolò Marastoni, Mariano Ceccato:
Remote Attestation of IoT Devices using Physically Unclonable Functions: Recent Advancements and Open Research Challenges. CPSIOTSEC@CCS 2023: 25-36 - [c6]Anna Dalla Vecchia, Niccolò Marastoni, Barbara Oliboni, Elisa Quintarelli:
The Synergies of Context and Data Aging in Recommendations. DaWaK 2023: 80-87 - [c5]Anna Dalla Vecchia, Niccolò Marastoni, Barbara Oliboni, Elisa Quintarelli:
ICARE: An Intuitive Context-Aware Recommender with Explanations. SEBD 2023: 623-631 - [i1]Fabio Pavanello, Cédric Marchand, Paul Jiménez, Xavier Letartre, Ricardo Chaves, Niccolò Marastoni, Alberto Lovato, Mariano Ceccato, George Papadimitriou, Vasileios Karakostas, Dimitris Gizopoulos, Roberta Bardini, Tzamn Melendez Carmona, Stefano Di Carlo, Alessandro Savino, Laurence Lerch, Ulrich Rührmair, Sergio Vinagrero Gutierrez, Giorgio Di Natale, Elena Ioana Vatajelu:
Security layers and related services within the Horizon Europe NEUROPULS project. CoRR abs/2312.09383 (2023) - 2022
- [c4]Niccolò Marastoni, Barbara Oliboni, Elisa Quintarelli:
Explainable Recommendations for Wearable Sensor Data. DaWaK 2022: 241-246 - 2021
- [j1]Niccolò Marastoni, Roberto Giacobazzi, Mila Dalla Preda:
Data augmentation and transfer learning to classify malware images in a deep learning context. J. Comput. Virol. Hacking Tech. 17(4): 279-297 (2021) - 2020
- [c3]Michele Pasetto, Niccolò Marastoni, Mila Dalla Preda:
Revealing Similarities in Android Malware by Dissecting their Methods. EuroS&P Workshops 2020: 625-634 - [c2]Mila Dalla Preda, Roberto Giacobazzi, Niccolò Marastoni:
Formal Framework for Reasoning About the Precision of Dynamic Analysis. SAS 2020: 178-199
2010 – 2019
- 2018
- [c1]Niccolò Marastoni, Roberto Giacobazzi, Mila Dalla Preda:
A deep learning approach to program similarity. MASES@ASE 2018: 26-35
Coauthor Index
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