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Davide Azzalini
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2020 – today
- 2024
- [c19]Alessandro Carminati, Davide Azzalini, Simone Vantini, Francesco Amigoni:
A Distributed Approach for Fault Detection in Swarms of Robots. AAMAS 2024: 253-261 - [c18]Benedetta Flammini, Davide Azzalini, Francesco Amigoni:
Preventing Deadlocks for Multi-Agent Pickup and Delivery in Dynamic Environments. AAMAS 2024: 580-588 - [c17]Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia:
Loss Compensation in Multi-Session Recommendation Under Limited Availability. EDBT 2024: 522-533 - [c16]Luca Martiri, Davide Azzalini, Loredana Cristaldi, Francesco Amigoni:
A Transfer Learning Approach for Remaining Useful Life Estimation of Lithium-Ion Batteries. MetroInd4.0 & IoT 2024: 557-561 - [c15]Luca Martiri, Giuseppe Meli, Luca Pasquarelli, Davide Azzalini, Loredana Cristaldi, Francesco Amigoni:
Domain Adversarial Neural Networks for Remaining Useful Life Estimation of Lithium-Ion Batteries. MetroXRAINE 2024: 640-645 - 2023
- [j2]Alberto Castellini, Francesco Masillo, Davide Azzalini, Francesco Amigoni, Alessandro Farinelli:
Adversarial Data Augmentation for HMM-Based Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14131-14143 (2023) - [c14]Benedetta Flammini, Davide Azzalini, Francesco Amigoni:
Multi-Agent Pickup and Delivery in a Dynamic Environment (short paper). AIRO@AI*IA 2023: 59-64 - [c13]Benedetta Flammini, Davide Azzalini, Francesco Amigoni:
Multi-Agent Pickup and Delivery in Presence of Another Team of Robots. AAMAS 2023: 2562-2564 - [c12]Luca Martiri, Davide Azzalini, Benedetta Flammini, Loredana Cristaldi, Francesco Amigoni:
Improving Remaining Useful Life Estimation of Lithium-Ion Batteries when Nearing End of Life. MetroXRAINE 2023: 317-322 - 2022
- [b1]Davide Azzalini:
Detecting anomalies in the behavior of autonomous robots. Polytechnic University of Milan, Italy, 2022 - [c11]Francesco Amigoni, Davide Azzalini, Nicola Basilico, Benedetta Flammini:
MAPF and MAPD: Recent Developments and Future Directions (short paper). AIRO@AI*IA 2022: 64-69 - [c10]Davide Azzalini, Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca:
FARGO: A Fair, Context-AwaRe, Group RecOmmender System. BIAS 2022: 143-154 - [c9]Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia:
SoCRATe: A Recommendation System with Limited-Availability Items. CIKM 2022: 4793-4797 - [c8]Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Letizia Tanca, Sihem Amer-Yahia:
SoCRATe: a Framework for Compensating Users Over Time with Limited Availability Recommendations. SEBD 2022: 538-545 - [c7]Davide Azzalini, Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca:
Accounting for Bossy Users in Context-Aware Group Recommendations. SEBD 2022: 570-577 - 2021
- [j1]Davide Azzalini, Luca Bonali, Francesco Amigoni:
A Minimally Supervised Approach Based on Variational Autoencoders for Anomaly Detection in Autonomous Robots. IEEE Robotics Autom. Lett. 6(2): 2985-2992 (2021) - 2020
- [c6]Davide Azzalini, Alberto Castellini, Matteo Luperto, Alessandro Farinelli, Francesco Amigoni:
HMMs for Anomaly Detection in Autonomous Robots. AAMAS 2020: 105-113 - [c5]Davide Azzalini:
Modeling and Comparing Robot Behaviors for Anomaly Detection. AAMAS 2020: 2171-2173
2010 – 2019
- 2019
- [c4]Davide Azzalini, Fabio Azzalini, Mirjana Mazuran, Letizia Tanca:
Evolution of Financial Time Series Clusters. SEBD 2019 - [c3]Davide Azzalini, Fabio Azzalini, Mirjana Mazuran, Letizia Tanca:
Tracking the Evolution of Financial Time Series Clusters. DSMM@SIGMOD 2019: 4:1-4:5 - 2018
- [c2]Letizia Tanca, Paolo Atzeni, Davide Azzalini, Ilaria Bartolini, Luca Cabibbo, Luca Calderoni, Paolo Ciaccia, Valter Crescenzi, Juan Carlos De Martin, Selina Fenoglietto, Donatella Firmani, Sergio Greco, Francesco Isgrò, Dario Maio, Davide Martinenghi, Maristella Matera, Paolo Merialdo, Cristian Molinaro, Marco Patella, Roberto Prevete, Elisa Quintarelli, Antonio Santangelo, Andrea Tagarelli, Guglielmo Tamburrini, Riccardo Torlone:
Ethics-aware Data Governance (Vision Paper). SEBD 2018: 49 - 2017
- [c1]Davide Azzalini, Fabio Azzalini, Davide Greco, Mirjana Mazuran, Letizia Tanca:
Event Recognition Strategies applied in the Mercurio Project. MIDAS@PKDD/ECML 2017: 29-30
Coauthor Index
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last updated on 2025-01-10 19:31 CET by the dblp team
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