DE FILIPPO, ALLEGRA
DE FILIPPO, ALLEGRA
DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
Ricercatori a tempo determinato
DanXe: an Extended Artificial Intelligence Framework to Analyze and Promote Dance Heritage
2024 Stacchio, Lorenzo; Garzarella, Silvia; Cascarano, Pasquale; De Filippo, Allegra; Cervellati, Elena; Marfia, Gustavo
Large Language Models for Human-AI Co-Creation of Robotic Dance Performances
2024 De Filippo A.; Milano M.
Machine learning approaches to predict the execution time of the meteorological simulation software COSMO
2024 De Filippo A.; Di Giacomo E.; Borghesi A.
Preserving and Annotating Dance Heritage Material through Deep Learning Tools: A Case Study on Rudolf Nureyev
2024 Silvia Garzarella, Lorenzo Stacchio, Pasquale Cascarano, Allegra De Filippo, Elena Cervellati, Gustavo Marfia
Swarm Intelligence: A Novel and Unconventional Approach to Dance Choreography Creation
2024 Braccini, M.; De Filippo, A.; Lombardi, M.; Milano, M.
UNIFY: A unified policy designing framework for solving integrated Constrained Optimization and Machine Learning problems
2024 Silvestri, Mattia; De Filippo, Allegra; Lombardi, Michele; Milano, Michela
CREAI 2023 - Preface to the Second Workshop on Artificial Intelligence and Creativity
2023 De Filippo A.; Milano M.; Presutti V.; Saffiotti A.
MusiComb: a Sample-based Approach to Music Generation Through Constraints
2023 Giuliani, Luca; Ballerini, Francesco; De Filippo, Allegra; Borghesi, Andrea
Robotic Choreography Creation Through Symbolic AI Techniques
2023 De Filippo, Allegra; Milano, Michela
TinderAI: Support System for Matching AI Algorithms and Embedded Devices
2023 Francobaldi M.; De Filippo A.; Borghesi A.; Pizurica N.; Jovancevi I.; Llewellynn T.; de Prado M.
Towards Intelligent Music Production: A Sample-based Approach
2023 Giuliani L.; De Filippo A.; Borghesi A.
Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint
2023 Spillo G.; De Filippo A.; Musto C.; Milano M.; Semeraro G.
Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations
2023 De Filippo, Allegra; Giuliani, Luca; Mancini, Eleonora; Borghesi, Andrea; Mello, Paola; Milano, Michela
A Multi-modal Perspective for the Artistic Evaluation of Robotic Dance Performances
2022 Luca Giuliani, Allegra De Filippo, Andrea Borghesi, Paola Mello, Michela Milano
Constrained Hardware Dimensioning for AI Algorithms
2022 De Filippo A.; Borghesi A.
CREAI 2022 - Preface to the First Workshop on Artificial Intelligence and Creativity
2022 De Filippo A.; Milano M.; Presutti V.; Saffiotti A.
Do You Like Dancing Robots? AI Can Tell You Why
2022 De Filippo A.; Mello P.; Milano M.
HADA: An automated tool for hardware dimensioning of AI applications
2022 De Filippo, A; Borghesi, A; Boscarino, A; Milano, M
Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning
2022 Silvestri M.; De Filippo A.; Ruggeri F.; Lombardi M.
Finance, Regulations, Politics and Market Design
2021 Helmberg H.; Lacalandra F.; Schmidt M.; Henriques C.; De Filippo A.; Lombardi M.; Milano M.; Ezran P.; Haddad Y.; Diekerhof M.; Madani M.
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| DanXe: an Extended Artificial Intelligence Framework to Analyze and Promote Dance Heritage | Stacchio, Lorenzo; Garzarella, Silvia; Cascarano, Pasquale; De Filippo, Allegra; Cervellati, Elen...a; Marfia, Gustavo | 2024-01-01 | DIGITAL APPLICATIONS IN ARCHAEOLOGY AND CULTURAL HERITAGE | - | 1.01 Articolo in rivista | - |
| Large Language Models for Human-AI Co-Creation of Robotic Dance Performances | De Filippo A.; Milano M. | 2024-01-01 | IJCAI | International Joint Conferences on Artificial Intelligence | 4.01 Contributo in Atti di convegno | 0844.pdf |
| Machine learning approaches to predict the execution time of the meteorological simulation software COSMO | De Filippo A.; Di Giacomo E.; Borghesi A. | 2024-01-01 | JOURNAL OF INTELLIGENT INFORMATION SYSTEMS | - | 1.01 Articolo in rivista | - |
| 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, Gu...stavo Marfia | 2024-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Swarm Intelligence: A Novel and Unconventional Approach to Dance Choreography Creation | Braccini, M.; De Filippo, A.; Lombardi, M.; Milano, M. | 2024-01-01 | - | CEUR-WS | 4.01 Contributo in Atti di convegno | - |
| UNIFY: A unified policy designing framework for solving integrated Constrained Optimization and Machine Learning problems | Silvestri, Mattia; De Filippo, Allegra; Lombardi, Michele; Milano, Michela | 2024-01-01 | KNOWLEDGE-BASED SYSTEMS | - | 1.01 Articolo in rivista | - |
| CREAI 2023 - Preface to the Second Workshop on Artificial Intelligence and Creativity | De Filippo A.; Milano M.; Presutti V.; Saffiotti A. | 2023-01-01 | - | CEUR-WS | 4.01 Contributo in Atti di convegno | - |
| MusiComb: a Sample-based Approach to Music Generation Through Constraints | Giuliani, Luca; Ballerini, Francesco; De Filippo, Allegra; Borghesi, Andrea | 2023-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | camReady_preEditoriale.pdf |
| Robotic Choreography Creation Through Symbolic AI Techniques | De Filippo, Allegra; Milano, Michela | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| TinderAI: Support System for Matching AI Algorithms and Embedded Devices | Francobaldi M.; De Filippo A.; Borghesi A.; Pizurica N.; Jovancevi I.; Llewellynn T.; de Prado M. | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | Automated_Vertical_Matchmaking_of_AI_Algorithms_and_HW_Platforms_final.pdf |
| Towards Intelligent Music Production: A Sample-based Approach | Giuliani L.; De Filippo A.; Borghesi A. | 2023-01-01 | - | CEUR-WS | 4.01 Contributo in Atti di convegno | paper5.pdf |
| Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint | Spillo G.; De Filippo A.; Musto C.; Milano M.; Semeraro G. | 2023-01-01 | - | Association for Computing Machinery, Inc | 4.01 Contributo in Atti di convegno | - |
| Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations | De Filippo, Allegra; Giuliani, Luca; Mancini, Eleonora; Borghesi, Andrea; Mello, Paola; Milano, M...ichela | 2023-01-01 | - | ijcai | 4.01 Contributo in Atti di convegno | 0644.pdf |
| A Multi-modal Perspective for the Artistic Evaluation of Robotic Dance Performances | Luca Giuliani, Allegra De Filippo, Andrea Borghesi, Paola Mello, Michela Milano | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Constrained Hardware Dimensioning for AI Algorithms | De Filippo A.; Borghesi A. | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | FAIA-351-FAIA220072 (1).pdf |
| CREAI 2022 - Preface to the First Workshop on Artificial Intelligence and Creativity | De Filippo A.; Milano M.; Presutti V.; Saffiotti A. | 2022-01-01 | - | CEUR-WS | 4.01 Contributo in Atti di convegno | - |
| Do You Like Dancing Robots? AI Can Tell You Why | De Filippo A.; Mello P.; Milano M. | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | FAIA-351-FAIA220064.pdf |
| HADA: An automated tool for hardware dimensioning of AI applications | De Filippo, A; Borghesi, A; Boscarino, A; Milano, M | 2022-01-01 | KNOWLEDGE-BASED SYSTEMS | - | 1.01 Articolo in rivista | HADA: an Automated Tool for Hardware Dimensioning of AI Applications.pdf |
| Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning | Silvestri M.; De Filippo A.; Ruggeri F.; Lombardi M. | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | CPAIOR_2022___DRL_for_hybrid_offline_online_optimization.pdf |
| Finance, Regulations, Politics and Market Design | Helmberg H.; Lacalandra F.; Schmidt M.; Henriques C.; De Filippo A.; Lombardi M.; Milano M.; Ezra...n P.; Haddad Y.; Diekerhof M.; Madani M. | 2021-01-01 | - | Springer Nature | 2.01 Capitolo / saggio in libro | - |