Non-linear Optimization of Business Models in the Electricity Market. - Allegra De Filippo; Michele Lombardi 001; Michela Milano (CPAIOR, 2016)

Robust Optimization for Virtual Power Plants. - Allegra De Filippo; Michele Lombardi 001; Michela Milano; Alberto Borghetti (AI*IA, 2017)

Off-Line and On-Line Optimization Under Uncertainty: A Case Study on Energy Management. - Allegra De Filippo; Michele Lombardi 001; Michela Milano (CPAIOR, 2018)

Methods for off-line/on-line optimization under uncertainty. - Allegra De Filippo; Michele Lombardi 001; Michela Milano (IJCAI, 2018)

How to Tame Your Anticipatory Algorithm. - Allegra De Filippo; Michele Lombardi 001; Michela Milano (IJCAI, 2019)

Hybrid Offline/Online Optimization Under Uncertainty. - Allegra De Filippo; Michele Lombardi 001; Michela Milano (ECAI, 2020)

The Blind Men and the Elephant: Integrated Offline/Online Optimization Under Uncertainty. - Allegra De Filippo; Michele Lombardi 001; Michela Milano (IJCAI, 2020)

Hybrid Offline/Online Methods for Optimization Under Uncertainty. - Allegra De Filippo (2020)

Robust Optimization Models For Local Flexibility Characterization of Virtual Power Plants. - Allegra De Filippo; Michele Lombardi 001; Michela Milano (AI*IA, 2021)

Integrated Offline and Online Decision Making under Uncertainty. - Allegra De Filippo; Michele Lombardi 001; Michela Milano (J. Artif. Intell. Res., 2021)

A Multi-modal Perspective for the Artistic Evaluation of Robotic Dance Performances. - Luca Giuliani; Allegra De Filippo; Andrea Borghesi; Paola Mello; Michela Milano (CREAI@AI*IA, 2022)

Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning. - Mattia Silvestri; Allegra De Filippo; Federico Ruggeri; Michele Lombardi 001 (CPAIOR, 2022)

Constrained Hardware Dimensioning for AI Algorithms. - Allegra De Filippo; Andrea Borghesi (PAIS@ECAI, 2022)

Do You Like Dancing Robots? AI Can Tell You Why. - Allegra De Filippo; Paola Mello; Michela Milano (PAIS@ECAI, 2022)

UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning. - Mattia Silvestri; Allegra De Filippo; Michele Lombardi 001; Michela Milano (CoRR, 2022)

HADA: An automated tool for hardware dimensioning of AI applications. - Allegra De Filippo; Andrea Borghesi; Andrea Boscarino; Michela Milano (Knowl. Based Syst., 2022)

Hybrid Offline/Online Methods for Optimization Under Uncertainty - Allegra De Filippo (IOS Press, 2022)

Towards Intelligent Music Production: A Sample-based Approach. - Luca Giuliani; Allegra De Filippo; Andrea Borghesi (CREAI@AI*IA, 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 (FLAIRS, 2023)

MusiComb: a Sample-based Approach to Music Generation Through Constraints. - Luca Giuliani; Francesco Ballerini; Allegra De Filippo; Andrea Borghesi (ICTAI, 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 (IJCAI, 2023)

Robotic Choreography Creation Through Symbolic AI Techniques. - Allegra De Filippo; Michela Milano (ICEC, 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 (RecSys, 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 001 (CoRR, 2023)

Swarm Intelligence: A Novel and Unconventional Approach to Dance Choreography Creation. - Michele Braccini; Allegra De Filippo; Michele Lombardi 001; Michela Milano (CREAI@ECAI, 2024)

Preserving and Annotating Dance Heritage Material through Deep Learning Tools: A Case Study on Rudolf Nureyev. - Silvia Garzarella; Lorenzo Stacchio; Pasquale Cascarano; Allegra De Filippo; Elena Cervellati; Gustavo Marfia (CREAI@ECAI, 2024)

Expert-MusiComb: Injective Domain Knowledge in a Neuro-Symbolic Approach for Music Generation. - Lorenzo Tribuiani; Luca Giuliani; Allegra De Filippo; Andrea Borghesi (CREAI@ECAI, 2024)

Large Language Models for Human-AI Co-Creation of Robotic Dance Performances. - Allegra De Filippo; Michela Milano (IJCAI, 2024)

First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024). - Ludovico Boratto; Allegra De Filippo; Elisabeth Lex; Francesco Ricci 001 (RecSys, 2024)

Towards Green Recommender Systems: Investigating the Impact of Data Reduction on Carbon Footprint and Algorithm Performances. - Giuseppe Spillo; Allegra De Filippo; Cataldo Musto; Michela Milano; Giovanni Semeraro (RecSys, 2024)

DanXe: An extended artificial intelligence framework to analyze and promote dance heritage. - Lorenzo Stacchio; Silvia Garzarella; Pasquale Cascarano; Allegra De Filippo; Elena Cervellati; Gustavo Marfia (Digit. Appl. Archaeol. Cult. Heritage, 2024)

UNIFY: A unified policy designing framework for solving integrated Constrained Optimization and Machine Learning problems. - Mattia Silvestri; Allegra De Filippo; Michele Lombardi 001; Michela Milano (Knowl. Based Syst., 2024)

Dance Choreography Driven by Swarm Intelligence in Extended Reality Scenarios: Perspectives and Implications. - Michele Braccini; Allegra De Filippo; Michele Lombardi 001; Michela Milano (AIxVR, 2025)

Human-Centered and Sustainable Recommender Systems. - Allegra De Filippo; Ludovico Boratto; Giuseppe Spillo (UMAP (Adjunct Publication), 2025)

Training Green and Sustainable Recommendation Models: Introducing Carbon Footprint Data into Early Stopping Criteria. - Giuseppe Spillo; Allegra De Filippo; Emanuele Fontana; Michela Milano; Giovanni Semeraro (UMAP, 2025)

Machine learning approaches to predict the execution time of the meteorological simulation software COSMO. - Allegra De Filippo; Emanuele Di Giacomo; Andrea Borghesi (J. Intell. Inf. Syst., 2025)