Allegra De Filippo

According to our database, Allegra De Filippo authored at least 24 papers between 2016 and 2023.

Collaborative distances:

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

2023

Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning.

Mattia Silvestri, Senne Berden, Jayanta Mandi, Ali Irfan Mahmutogullari, Maxime Mulamba, Allegra De Filippo, Tias Guns, Michele Lombardi

CoRR, 2023

Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint.

Giuseppe Spillo, Allegra De Filippo, Cataldo Musto, Michela Milano, Giovanni Semeraro

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Robotic Choreography Creation Through Symbolic AI Techniques.

Allegra De Filippo, Michela Milano

Proceedings of the Entertainment Computing - ICEC 2023, 2023

Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations.

Allegra De Filippo, Luca Giuliani, Eleonora Mancini, Andrea Borghesi, Paola Mello, Michela Milano

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

MusiComb: a Sample-based Approach to Music Generation Through Constraints.

Luca Giuliani, Francesco Ballerini, Allegra De Filippo, Andrea Borghesi

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

TinderAI: Support System for Matching AI Algorithms and Embedded Devices.

Matteo Francobaldi, Allegra De Filippo, Andrea Borghesi, Nikola Pizurica, Igor Jovancevic, Tim Llewellynn, Miguel de Prado

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Towards Intelligent Music Production: A Sample-based Approach.

Luca Giuliani, Allegra De Filippo, Andrea Borghesi

Proceedings of the 2nd Workshop on Artificial Intelligence and Creativity co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

2022

Hybrid Offline/Online Methods for Optimization Under Uncertainty

Allegra De Filippo

Frontiers in Artificial Intelligence and Applications 349, IOS Press, ISBN: 978-1-64368-263-1, 2022

HADA: An automated tool for hardware dimensioning of AI applications.

Allegra De Filippo, Andrea Borghesi, Andrea Boscarino, Michela Milano

Knowl. Based Syst., 2022

UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning.

Mattia Silvestri, Allegra De Filippo, Michele Lombardi, Michela Milano

CoRR, 2022

Do You Like Dancing Robots? AI Can Tell You Why.

Allegra De Filippo, Paola Mello, Michela Milano

Proceedings of the PAIS 2022, 2022

Constrained Hardware Dimensioning for AI Algorithms.

Allegra De Filippo, Andrea Borghesi

Proceedings of the PAIS 2022, 2022

Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning.

Mattia Silvestri, Allegra De Filippo, Federico Ruggeri, Michele Lombardi

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2022

A Multi-modal Perspective for the Artistic Evaluation of Robotic Dance Performances.

Luca Giuliani, Allegra De Filippo, Andrea Borghesi, Paola Mello, Michela Milano

Proceedings of the 1st Workshop on Artificial Intelligence and Creativity co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28, 2022

2021

Integrated Offline and Online Decision Making under Uncertainty.

Allegra De Filippo, Michele Lombardi, Michela Milano

J. Artif. Intell. Res., 2021

Robust Optimization Models For Local Flexibility Characterization of Virtual Power Plants.

Allegra De Filippo, Michele Lombardi, Michela Milano

Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

2020

Hybrid Offline/Online Methods for Optimization Under Uncertainty.

Allegra De Filippo

PhD thesis, 2020

The Blind Men and the Elephant: Integrated Offline/Online Optimization Under Uncertainty.

Allegra De Filippo, Michele Lombardi, Michela Milano

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Hybrid Offline/Online Optimization Under Uncertainty.

Allegra De Filippo, Michele Lombardi, Michela Milano

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

How to Tame Your Anticipatory Algorithm.

Allegra De Filippo, Michele Lombardi, Michela Milano

Proceedings of the Discussion and Doctoral Consortium papers of AI*IA 2019, 2019

2018

Methods for off-line/on-line optimization under uncertainty.

Allegra De Filippo, Michele Lombardi, Michela Milano

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Off-Line and On-Line Optimization Under Uncertainty: A Case Study on Energy Management.

Allegra De Filippo, Michele Lombardi, Michela Milano

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2018

2017

Robust Optimization for Virtual Power Plants.

Allegra De Filippo, Michele Lombardi, Michela Milano, Alberto Borghetti

Proceedings of the AI*IA 2017 Advances in Artificial Intelligence, 2017

2016

Non-linear Optimization of Business Models in the Electricity Market.

Allegra De Filippo, Michele Lombardi, Michela Milano

Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2016