Davide Azzalini

Orcid: 0000-0003-0934-9885

According to our database1, Davide Azzalini authored at least 21 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A Transfer Learning Approach for Remaining Useful Life Estimation of Lithium-Ion Batteries.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 and IoT, 2024

Loss Compensation in Multi-Session Recommendation Under Limited Availability.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

Preventing Deadlocks for Multi-Agent Pickup and Delivery in Dynamic Environments.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

A Distributed Approach for Fault Detection in Swarms of Robots.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Adversarial Data Augmentation for HMM-Based Anomaly Detection.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Improving Remaining Useful Life Estimation of Lithium-Ion Batteries when Nearing End of Life.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Multi-Agent Pickup and Delivery in Presence of Another Team of Robots.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Multi-Agent Pickup and Delivery in a Dynamic Environment (short paper).
Proceedings of the 10th Italian Workshop on Artificial Intelligence and Robotics co-located with the the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

2022
Detecting anomalies in the behavior of autonomous robots.
PhD thesis, 2022

Accounting for Bossy Users in Context-Aware Group Recommendations.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

SoCRATe: a Framework for Compensating Users Over Time with Limited Availability Recommendations.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

SoCRATe: A Recommendation System with Limited-Availability Items.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

FARGO: A Fair, Context-AwaRe, Group RecOmmender System.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2022

MAPF and MAPD: Recent Developments and Future Directions (short paper).
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.
IEEE Robotics Autom. Lett., 2021

2020
HMMs for Anomaly Detection in Autonomous Robots.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Modeling and Comparing Robot Behaviors for Anomaly Detection.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Tracking the Evolution of Financial Time Series Clusters.
Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets, 2019

Evolution of Financial Time Series Clusters.
Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

2018

2017
Event Recognition Strategies applied in the Mercurio Project.
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


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