MILANO, MICHELA

MILANO, MICHELA  

DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA  

Docenti di ruolo di Ia fascia  

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Risultati 1 - 20 di 166 (tempo di esecuzione: 0.057 secondi).
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 -
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 -
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
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
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
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
Informed Deep Learning for Epidemics Forecasting Federico Baldo, Michele Iannello, Michele Lombardi, Michela Milano 2022-01-01 - IOS Press BV 4.01 Contributo in Atti di convegno FAIA-351-FAIA220067.pdf
An Analysis of Regularized Approaches for Constrained Machine Learning Lombardi, Michele; Baldo, Federico; Borghesi, Andrea; Milano, Michela 2021-01-01 - Springer 4.01 Contributo in Atti di convegno tailor2020_paper58_camReady.pdf
Injecting Domain Knowledge in Neural Networks: A Controlled Experiment on a Constrained Problem Silvestri M.; Lombardi M.; Milano M. 2021-01-01 - Springer Science and Business Media Deutschland GmbH 4.01 Contributo in Atti di convegno CPAIOR_2021__Knowledge_injection_in_DNNs.pdf
Integrated Offline and Online Decision Making under Uncertainty De Filippo, Allegra; Lombardi, Michele; Milano, Michela 2021-01-01 THE JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH - 1.01 Articolo in rivista 12333-Article (PDF)-25701-1-10-20210109.pdf
Teaching the Old Dog New Tricks: Supervised Learning with Constraints Fabrizio Detassis,
Michele Lombardi,
Michela Milano
2021-01-01 - {AAAI} Press 4.01 Contributo in Atti di convegno AAAI2021___Teaching_the_Old_Dog_new_Tricks.pdf