Davide Azzalini

23 papers A 6B 1Journal 3Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Multi-Agent Pickup and Delivery with external agents.
Robotics Auton. Syst.
Luca Bonalumi, Benedetta Flammini, Davide Azzalini, Francesco Amigoni
2024 A conf
A Distributed Approach for Fault Detection in Swarms of Robots.
AAMAS
Alessandro Carminati, Davide Azzalini, Simone Vantini, Francesco Amigoni
2024 — conf
A Transfer Learning Approach for Remaining Useful Life Estimation of Lithium-Ion Batteries.
MetroInd4.0 & IoT
Luca Martiri, Davide Azzalini, Loredana Cristaldi, Francesco Amigoni
2024 — conf
Domain Adversarial Neural Networks for Remaining Useful Life Estimation of Lithium-Ion Batteries.
MetroXRAINE
Luca Martiri, Giuseppe Meli, Luca Pasquarelli, Davide Azzalini, Loredana Cristaldi, Francesco Amigoni
2024 B conf
Loss Compensation in Multi-Session Recommendation Under Limited Availability.
EDBT
Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia
2024 A conf
Preventing Deadlocks for Multi-Agent Pickup and Delivery in Dynamic Environments.
AAMAS
Benedetta Flammini, Davide Azzalini, Francesco Amigoni
2023 J jnl
Adversarial Data Augmentation for HMM-Based Anomaly Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Alberto Castellini, Francesco Masillo, Davide Azzalini, Francesco Amigoni, Alessandro Farinelli
2023 — conf
Improving Remaining Useful Life Estimation of Lithium-Ion Batteries when Nearing End of Life.
MetroXRAINE
Luca Martiri, Davide Azzalini, Benedetta Flammini, Loredana Cristaldi, Francesco Amigoni
2023 A conf
Multi-Agent Pickup and Delivery in Presence of Another Team of Robots.
AAMAS
Benedetta Flammini, Davide Azzalini, Francesco Amigoni
2023 — conf
Multi-Agent Pickup and Delivery in a Dynamic Environment (short paper).
AIRO@AI*IA
Benedetta Flammini, Davide Azzalini, Francesco Amigoni
2022 — conf
Accounting for Bossy Users in Context-Aware Group Recommendations.
SEBD
Davide Azzalini, Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca
2022 — —
Detecting anomalies in the behavior of autonomous robots.
Davide Azzalini
2022 — conf
FARGO: A Fair, Context-AwaRe, Group RecOmmender System.
BIAS
Davide Azzalini, Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca
2022 — conf
MAPF and MAPD: Recent Developments and Future Directions (short paper).
AIRO@AI*IA
Francesco Amigoni, Davide Azzalini, Nicola Basilico, Benedetta Flammini
2022 A conf
SoCRATe: A Recommendation System with Limited-Availability Items.
CIKM
Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia
2022 — conf
SoCRATe: a Framework for Compensating Users Over Time with Limited Availability Recommendations.
SEBD
Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Letizia Tanca, Sihem Amer-Yahia
2021 J jnl
A Minimally Supervised Approach Based on Variational Autoencoders for Anomaly Detection in Autonomous Robots.
IEEE Robotics Autom. Lett.
Davide Azzalini, Luca Bonali, Francesco Amigoni
2020 A conf
HMMs for Anomaly Detection in Autonomous Robots.
AAMAS
Davide Azzalini, Alberto Castellini, Matteo Luperto, Alessandro Farinelli, Francesco Amigoni
2020 A conf
Modeling and Comparing Robot Behaviors for Anomaly Detection.
AAMAS
Davide Azzalini
2019 — conf
Evolution of Financial Time Series Clusters.
SEBD
Davide Azzalini, Fabio Azzalini, Mirjana Mazuran, Letizia Tanca
2019 — conf
Tracking the Evolution of Financial Time Series Clusters.
DSMM@SIGMOD
Davide Azzalini, Fabio Azzalini, Mirjana Mazuran, Letizia Tanca
2018 — conf
Ethics-aware Data Governance (Vision Paper).
SEBD
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
2017 — conf
Event Recognition Strategies applied in the Mercurio Project.
MIDAS@PKDD/ECML
Davide Azzalini, Fabio Azzalini, Davide Greco, Mirjana Mazuran, Letizia Tanca