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Allegra De Filippo

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affiliation: University of Bologna, Italy

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2020 – today

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2025
[j5]
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Allegra De Filippo, Emanuele Di Giacomo, Andrea Borghesi:
Machine learning approaches to predict the execution time of the meteorological simulation software COSMO. J. Intell. Inf. Syst. 63(1): 85-109 (2025)
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Michele Braccini, Allegra De Filippo, Michele Lombardi, Michela Milano:
Dance Choreography Driven by Swarm Intelligence in Extended Reality Scenarios: Perspectives and Implications. AIxVR 2025: 348-354
2024
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Lorenzo Stacchio, Silvia Garzarella, Pasquale Cascarano, Allegra De Filippo, Elena Cervellati, Gustavo Marfia:
DanXe: An extended artificial intelligence framework to analyze and promote dance heritage. Digit. Appl. Archaeol. Cult. Heritage 33: 00343 (2024)
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Mattia Silvestri, Allegra De Filippo, Michele Lombardi, Michela Milano:
UNIFY: A unified policy designing framework for solving integrated Constrained Optimization and Machine Learning problems. Knowl. Based Syst. 303: 112383 (2024)
[c25]
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Lorenzo Tribuiani, Luca Giuliani, Allegra De Filippo, Andrea Borghesi:
Expert-MusiComb: Injective Domain Knowledge in a Neuro-Symbolic Approach for Music Generation. CREAI@ECAI 2024: 46-58
[c24]
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Silvia Garzarella, Lorenzo Stacchio, Pasquale Cascarano, Allegra De Filippo, Elena Cervellati, Gustavo Marfia:
Preserving and Annotating Dance Heritage Material through Deep Learning Tools: A Case Study on Rudolf Nureyev. CREAI@ECAI 2024: 88-97
[c23]
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Michele Braccini, Allegra De Filippo, Michele Lombardi, Michela Milano:
Swarm Intelligence: A Novel and Unconventional Approach to Dance Choreography Creation. CREAI@ECAI 2024: 162-172
[c22]
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Allegra De Filippo, Michela Milano:
Large Language Models for Human-AI Co-Creation of Robotic Dance Performances. IJCAI 2024: 7627-7635
[c21]
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Giuseppe Spillo, Allegra De Filippo, Cataldo Musto, Michela Milano, Giovanni Semeraro:
Towards Green Recommender Systems: Investigating the Impact of Data Reduction on Carbon Footprint and Algorithm Performances. RecSys 2024: 866-871
[c20]
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Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Francesco Ricci:
First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024). RecSys 2024: 1239-1241
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Allegra De Filippo, François Pachet, Valentina Presutti, Luc Steels:
Proceedings of the 3rd Workshop on Artificial Intelligence and Creativity co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, October 20, 2024. CEUR Workshop Proceedings 3810, CEUR-WS.org 2024 [contents]
2023
[c19]
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Luca Giuliani, Allegra De Filippo, Andrea Borghesi:
Towards Intelligent Music Production: A Sample-based Approach. CREAI@AI*IA 2023: 50-59
[c18]
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Matteo Francobaldi, Allegra De Filippo, Andrea Borghesi, Nikola Pizurica, Igor Jovancevic, Tim Llewellynn, Miguel de Prado:
TinderAI: Support System for Matching AI Algorithms and Embedded Devices. FLAIRS 2023
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Luca Giuliani, Francesco Ballerini, Allegra De Filippo, Andrea Borghesi:
MusiComb: a Sample-based Approach to Music Generation Through Constraints. ICTAI 2023: 194-198
[c16]
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Allegra De Filippo, Luca Giuliani, Eleonora Mancini, Andrea Borghesi, Paola Mello, Michela Milano:
Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations. IJCAI 2023: 5806-5814
[c15]
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Allegra De Filippo, Michela Milano:
Robotic Choreography Creation Through Symbolic AI Techniques. ICEC 2023: 346-351
[c14]
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Giuseppe Spillo, Allegra De Filippo, Cataldo Musto, Michela Milano, Giovanni Semeraro:
Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint. RecSys 2023: 856-862
[e2]
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Allegra De Filippo, Michela Milano, Valentina Presutti, Alessandro Saffiotti:
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), Roma, Italy, November 6, 2023. CEUR Workshop Proceedings 3519, CEUR-WS.org 2023 [contents]
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Mattia Silvestri, Senne Berden, Jayanta Mandi, Ali Irfan Mahmutogullari, Maxime Mulamba, Allegra De Filippo, Tias Guns, Michele Lombardi:
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning. CoRR abs/2307.05213 (2023)
2022
[b2]
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Allegra De Filippo:
Hybrid Offline/Online Methods for Optimization Under Uncertainty. Frontiers in Artificial Intelligence and Applications 349, IOS Press 2022, ISBN 978-1-64368-262-4, pp. 1-108
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Allegra De Filippo, Andrea Borghesi, Andrea Boscarino, Michela Milano:
HADA: An automated tool for hardware dimensioning of AI applications. Knowl. Based Syst. 251: 109199 (2022)
[c13]
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Luca Giuliani, Allegra De Filippo, Andrea Borghesi, Paola Mello, Michela Milano:
A Multi-modal Perspective for the Artistic Evaluation of Robotic Dance Performances. CREAI@AI*IA 2022: 84-93
[c12]
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Mattia Silvestri, Allegra De Filippo, Federico Ruggeri, Michele Lombardi:
Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning. CPAIOR 2022: 358-373
[c11]
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Allegra De Filippo, Paola Mello, Michela Milano:
Do You Like Dancing Robots? AI Can Tell You Why. PAIS@ECAI 2022: 45-58
[c10]
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Allegra De Filippo, Andrea Borghesi:
Constrained Hardware Dimensioning for AI Algorithms. PAIS@ECAI 2022: 145-148
[e1]
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Allegra De Filippo, Michela Milano, Valentina Presutti, Alessandro Saffiotti:
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 - December 3, 2022. CEUR Workshop Proceedings 3278, CEUR-WS.org 2022 [contents]
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Mattia Silvestri, Allegra De Filippo, Michele Lombardi, Michela Milano:
UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning. CoRR abs/2210.14030 (2022)
2021
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Allegra De Filippo, Michele Lombardi, Michela Milano:
Integrated Offline and Online Decision Making under Uncertainty. J. Artif. Intell. Res. 70: 77-117 (2021)
[c9]
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Allegra De Filippo, Michele Lombardi, Michela Milano:
Robust Optimization Models For Local Flexibility Characterization of Virtual Power Plants. AI*IA 2021: 609-623
2020
[b1]
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Allegra De Filippo:
Hybrid Offline/Online Methods for Optimization Under Uncertainty. University of Bologna, Italy, 2020
[c8]
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Allegra De Filippo, Michele Lombardi, Michela Milano:
Hybrid Offline/Online Optimization Under Uncertainty. ECAI 2020: 2899-2900
[c7]
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Allegra De Filippo, Michele Lombardi, Michela Milano:
The Blind Men and the Elephant: Integrated Offline/Online Optimization Under Uncertainty. IJCAI 2020: 4840-4846

2010 – 2019

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2019
[c6]
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Allegra De Filippo, Michele Lombardi, Michela Milano:
How to Tame Your Anticipatory Algorithm. DDC@AI*IA 2019: 36-44
[c5]
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Allegra De Filippo, Michele Lombardi, Michela Milano:
How to Tame Your Anticipatory Algorithm. IJCAI 2019: 1071-1077
2018
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Allegra De Filippo, Michele Lombardi, Michela Milano:
Off-Line and On-Line Optimization Under Uncertainty: A Case Study on Energy Management. CPAIOR 2018: 100-116
[c3]
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Allegra De Filippo, Michele Lombardi, Michela Milano:
Methods for off-line/on-line optimization under uncertainty. IJCAI 2018: 1270-1276
2017
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Allegra De Filippo, Michele Lombardi, Michela Milano, Alberto Borghetti:
Robust Optimization for Virtual Power Plants. AI*IA 2017: 17-30
2016
[c1]
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Allegra De Filippo, Michele Lombardi, Michela Milano:
Non-linear Optimization of Business Models in the Electricity Market. CPAIOR 2016: 81-97

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