MILANO, MICHELA
MILANO, MICHELA
DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
Docenti di ruolo di Ia fascia
Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method
2024 Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
Harnessing federated learning for anomaly detection in supercomputer nodes
2024 Farooq, Emmen; Milano, Michela; Borghesi, Andrea
Introduction to Special Issue on Trustworthy Artificial Intelligence
2024 Calegari R.; Giannotti F.; Pratesi F.; Milano M.
Large Language Models for Human-AI Co-Creation of Robotic Dance Performances
2024 De Filippo A.; Milano M.
Special Issue on Trustworthy AI
2024 Roberta Calegari, Fosca Giannotti, Francesca Pratesi, Michela Milano
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
A geometric framework for fairness
2023 Maggio A.; Giuliani L.; Calegari R.; Lombardi M.; Milano M.
Assessing and Enforcing Fairness in the AI Lifecycle
2023 Calegari R.; Castane G.G.; Milano M.; O'Sullivan B.
CREAI 2023 - Preface to the Second Workshop on Artificial Intelligence and Creativity
2023 De Filippo A.; Milano M.; Presutti V.; Saffiotti A.
FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System
2023 Misino E.; Calegari R.; Lombardi M.; Milano M.
Preface: Fairness and Bias in AI: Insights from AEQUITAS 2023
2023 Calegari R.; Aler A.; Gabriel T.; Castane G.; Dignum V.; Milano M.
Proceedings of the 1st Workshop on Fairness and Bias in AI, AEQUITAS 2023 co-located with 26th European Conference on Artificial Intelligence (ECAI 2023)
2023 Roberta Calegari, Andrea Aler Tubella, Gabriel González Castañe, Virginia Dignum, Michela Milano
Robotic Choreography Creation Through Symbolic AI Techniques
2023 De Filippo, Allegra; Milano, Michela
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
Anomaly Detection and Anticipation in High Performance Computing Systems
2022 Borghesi A.; Molan M.; Milano M.; Bartolini 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.
Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
---|---|---|---|---|---|---|
Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method | Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano | 2024-01-01 | - | IJCAI | 4.01 Contributo in Atti di convegno | 0820.pdf |
Harnessing federated learning for anomaly detection in supercomputer nodes | Farooq, Emmen; Milano, Michela; Borghesi, Andrea | 2024-01-01 | FUTURE GENERATION COMPUTER SYSTEMS | - | 1.01 Articolo in rivista | - |
Introduction to Special Issue on Trustworthy Artificial Intelligence | Calegari R.; Giannotti F.; Pratesi F.; Milano M. | 2024-01-01 | - | ASSOC COMPUTING MACHINERY | 2.02 Prefazione | - |
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 |
Special Issue on Trustworthy AI | Roberta Calegari, Fosca Giannotti, Francesca Pratesi, Michela Milano | 2024-01-01 | - | ACM Computing Surveys | 3.02 Curatela | - |
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 | - |
A geometric framework for fairness | Maggio A.; Giuliani L.; Calegari R.; Lombardi M.; Milano M. | 2023-01-01 | - | CEUR-WS | 4.01 Contributo in Atti di convegno | paper9.pdf |
Assessing and Enforcing Fairness in the AI Lifecycle | Calegari R.; Castane G.G.; Milano M.; O'Sullivan B. | 2023-01-01 | IJCAI | International Joint Conferences on Artificial Intelligence | 4.01 Contributo in Atti di convegno | 0735.pdf |
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 | - |
FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System | Misino E.; Calegari R.; Lombardi M.; Milano M. | 2023-01-01 | - | CEUR-WS | 4.01 Contributo in Atti di convegno | paper5.pdf |
Preface: Fairness and Bias in AI: Insights from AEQUITAS 2023 | Calegari R.; Aler A.; Gabriel T.; Castane G.; Dignum V.; Milano M. | 2023-01-01 | - | Sun SITE Central Europe (CEUR), Technical University of Aachen (RWTH) | 2.02 Prefazione | - |
Proceedings of the 1st Workshop on Fairness and Bias in AI, AEQUITAS 2023 co-located with 26th European Conference on Artificial Intelligence (ECAI 2023) | Roberta Calegari, Andrea Aler Tubella, Gabriel González Castañe, Virginia Dignum, Michela Milano | 2023-01-01 | - | CEUR-WS | 3.02 Curatela | xpreface.pdf |
Robotic Choreography Creation Through Symbolic AI Techniques | De Filippo, Allegra; Milano, Michela | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
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 | - |
Anomaly Detection and Anticipation in High Performance Computing Systems | Borghesi A.; Molan M.; Milano M.; Bartolini A. | 2022-01-01 | IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS | - | 1.01 Articolo in rivista | TPDS_SI_Exascale_AnomalyAnticipation_REV.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 |