Davide Azzalini

According to our database, Davide Azzalini authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Loss Compensation in Multi-Session Recommendation Under Limited Availability.

Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023

Adversarial Data Augmentation for HMM-Based Anomaly Detection.

Alberto Castellini, Francesco Masillo, Davide Azzalini, Francesco Amigoni, Alessandro Farinelli

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Improving Remaining Useful Life Estimation of Lithium-Ion Batteries when Nearing End of Life.

Luca Martiri, Davide Azzalini, Benedetta Flammini, Loredana Cristaldi, Francesco Amigoni

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Multi-Agent Pickup and Delivery in Presence of Another Team of Robots.

Benedetta Flammini, Davide Azzalini, Francesco Amigoni

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Detecting anomalies in the behavior of autonomous robots.

Davide Azzalini

PhD thesis, 2022

Accounting for Bossy Users in Context-Aware Group Recommendations.

Davide Azzalini, Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

SoCRATe: a Framework for Compensating Users Over Time with Limited Availability Recommendations.

Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Letizia Tanca, Sihem Amer-Yahia

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

SoCRATe: A Recommendation System with Limited-Availability Items.

Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

FARGO: A Fair, Context-AwaRe, Group RecOmmender System.

Davide Azzalini, Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2022

MAPF and MAPD: Recent Developments and Future Directions (short paper).

Francesco Amigoni, Davide Azzalini, Nicola Basilico, Benedetta Flammini

Proceedings of the 9th Italian Workshop on Artificial Intelligence and Robotics co-located with the the 21th International Conference of the Italian Association for Artificial Intelligence, 2022

2021

A Minimally Supervised Approach Based on Variational Autoencoders for Anomaly Detection in Autonomous Robots.

Davide Azzalini, Luca Bonali, Francesco Amigoni

IEEE Robotics Autom. Lett., 2021

2020

HMMs for Anomaly Detection in Autonomous Robots.

Davide Azzalini, Alberto Castellini, Matteo Luperto, Alessandro Farinelli, Francesco Amigoni

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Modeling and Comparing Robot Behaviors for Anomaly Detection.

Davide Azzalini

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Tracking the Evolution of Financial Time Series Clusters.

Davide Azzalini, Fabio Azzalini, Mirjana Mazuran, Letizia Tanca

Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets, 2019

Evolution of Financial Time Series Clusters.

Davide Azzalini, Fabio Azzalini, Mirjana Mazuran, Letizia Tanca

Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

2018

Ethics-aware Data Governance (Vision Paper).

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

Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

2017

Event Recognition Strategies applied in the Mercurio Project.

Davide Azzalini, Fabio Azzalini, Davide Greco, Mirjana Mazuran, Letizia Tanca

Proceedings of the Second Workshop on MIning DAta for financial applicationS (MIDAS 2017) co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 2017