Michela Milano

ORCID

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 70

Top Venues

CoRR

CPAIOR

IJCAI

Publications

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)
Alessandro Maggio, Luca Giuliani, Roberta Calegari, Michele Lombardi, Michela Milano
A geometric framework for fairness. AEQUITAS@ECAI (2023)
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)
Roberta Calegari, Gabriel G. Castañé, Michela Milano, Barry O'Sullivan
Assessing and Enforcing Fairness in the AI Lifecycle. IJCAI (2023)
Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System. AEQUITAS@ECAI (2023)
Allegra De Filippo, Michela Milano
Robotic Choreography Creation Through Symbolic AI Techniques. ICEC (2023)
Mattia Silvestri, Allegra De Filippo, Michele Lombardi, Michela Milano
UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning. CoRR (2022)
Allegra De Filippo, Andrea Borghesi, Andrea Boscarino, Michela Milano
HADA: An automated tool for hardware dimensioning of AI applications. Knowl. Based Syst. 251 (2022)
Andrea Borghesi, Martin Molan, Michela Milano, Andrea Bartolini
Anomaly Detection and Anticipation in High Performance Computing Systems. IEEE Trans. Parallel Distributed Syst. 33 (4) (2022)
Federico Baldo, Michele Iannello, Michele Lombardi, Michela Milano
Informed Deep Learning for Epidemics Forecasting. PAIS@ECAI (2022)
Allegra De Filippo, Paola Mello, Michela Milano
Do You Like Dancing Robots? AI Can Tell You Why. PAIS@ECAI (2022)
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)
Mattia Silvestri, Michele Lombardi, Michela Milano
Injecting Domain Knowledge in Neural Networks: A Controlled Experiment on a Constrained Problem. CPAIOR (2021)
Fabrizio Detassis, Michele Lombardi, Michela Milano
Teaching the Old Dog New Tricks: Supervised Learning with Constraints. AAAI (2021)
Federico Baldo, Lorenzo Dall'Olio, Mattia Ceccarelli, Riccardo Scheda, Michele Lombardi, Andrea Borghesi, Stefano Diciotti, Michela Milano
Deep Learning for Virus-Spreading Forecasting: a Brief Survey. CoRR (2021)
Allegra De Filippo, Michele Lombardi, Michela Milano
Integrated Offline and Online Decision Making under Uncertainty. J. Artif. Intell. Res. 70 (2021)
Allegra De Filippo, Michele Lombardi, Michela Milano
Robust Optimization Models For Local Flexibility Characterization of Virtual Power Plants. AI*IA (2021)
Fabrizio Detassis, Michele Lombardi, Michela Milano
Teaching the old dog new tricks: supervised learning with constraints. NeHuAI@ECAI (2020)
Andrea Borghesi, Federico Baldo, Michela Milano
Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey. CoRR (2020)
Allegra De Filippo, Michele Lombardi, Michela Milano
Hybrid Offline/Online Optimization Under Uncertainty. ECAI (2020)
Fabrizio Detassis, Michele Lombardi, Michela Milano
Teaching the Old Dog New Tricks: Supervised Learning with Constraints. CoRR (2020)
Mattia Silvestri, Michele Lombardi, Michela Milano
Injecting domain knowledge in neural networks: a controlled experiment on a constrained problem. NeHuAI@ECAI (2020)
Mattia Silvestri, Michele Lombardi, Michela Milano
Injecting Domain Knowledge in Neural Networks: a Controlled Experiment on a Constrained Problem. CoRR (2020)
Michele Lombardi, Federico Baldo, Andrea Borghesi, Michela Milano
An Analysis of Regularized Approaches for Constrained Machine Learning. TAILOR (2020)
Andrea Borghesi, Giuseppe Tagliavini, Michele Lombardi, Luca Benini, Michela Milano
Combining learning and optimization for transprecision computing. CF (2020)
Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano
Injective Domain Knowledge in Neural Networks for Transprecision Computing. CoRR (2020)
Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano
Injective Domain Knowledge in Neural Networks for Transprecision Computing. LOD (1) (2020)
Allegra De Filippo, Michele Lombardi, Michela Milano
The Blind Men and the Elephant: Integrated Offline/Online Optimization Under Uncertainty. IJCAI (2020)
Michele Lombardi, Federico Baldo, Andrea Borghesi, Michela Milano
An Analysis of Regularized Approaches for Constrained Machine Learning. CoRR (2020)
Andrea Borghesi, Giuseppe Tagliavini, Michele Lombardi, Luca Benini, Michela Milano
Combining Learning and Optimization for Transprecision Computing. CoRR (2020)
Allegra De Filippo, Michele Lombardi, Michela Milano
How to Tame Your Anticipatory Algorithm. IJCAI (2019)
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems. Eng. Appl. Artif. Intell. 85 (2019)
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Anomaly Detection using Autoencoders in High Performance Computing Systems. DDC@AI*IA (2019)
Danuta Sorina Chisca, Michele Lombardi, Michela Milano, Barry O'Sullivan
Logic-Based Benders Decomposition for Super Solutions: An Application to the Kidney Exchange Problem. CP (2019)
Danuta Sorina Chisca, Michele Lombardi, Michela Milano, Barry O'Sullivan
A Sampling-Free Anticipatory Algorithm for the Kidney Exchange Problem. CPAIOR (2019)
Allegra De Filippo, Michele Lombardi, Michela Milano
How to Tame Your Anticipatory Algorithm. DDC@AI*IA (2019)
Andrea Borghesi, Michela Milano, Luca Benini
Frequency Assignment in High Performance Computing Systems. AI*IA (2019)
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Anomaly Detection Using Autoencoders in High Performance Computing Systems. AAAI (2019)
Andrea Borghesi, Andrea Bartolini, Michela Milano, Luca Benini
Pricing schemes for energy-efficient HPC systems: Design and exploration. Int. J. High Perform. Comput. Appl. 33 (4) (2019)
Allegra De Filippo, Michele Lombardi, Michela Milano
Methods for off-line/on-line optimization under uncertainty. IJCAI (2018)
Oreste Andrisano, Ilaria Bartolini, Paolo Bellavista, Andrea Boeri, Luciano Bononi, Alberto Borghetti, Armando Brath, Giovanni Emanuele Corazza, Antonio Corradi, Stefano de Miranda, Fabio Fava, Luca Foschini, Giovanni Leoni, Danila Longo, Michela Milano, Fabio Napolitano, Carlo Alberto Nucci, Gianni Pasolini, Marco Patella, Tullio Salmon Cinotti, Daniele Tarchi, Francesco Ubertini, Daniele Vigo
The Need of Multidisciplinary Approaches and Engineering Tools for the Development and Implementation of the Smart City Paradigm. Proc. IEEE 106 (4) (2018)
Andrea Galassi, Michele Lombardi, Paola Mello, Michela Milano
Model Agnostic Solution of CSPs via Deep Learning: A Preliminary Study. CPAIOR (2018)
Michele Lombardi, Michela Milano
Boosting Combinatorial Problem Modeling with Machine Learning. CoRR (2018)
Andrea Borghesi, Andrea Bartolini, Michela Milano, Luca Benini
Pricing Schemes for Energy-Efficient HPC Systems: Design and Exploration. CoRR (2018)
Michele Lombardi, Michela Milano
Boosting Combinatorial Problem Modeling with Machine Learning. IJCAI (2018)
Michela Milano
Twenty Years of Constraint Programming (CP) Research. Constraints An Int. J. 23 (2) (2018)
Danuta Sorina Chisca, Michele Lombardi, Michela Milano, Barry O'Sullivan
From Offline to Online Kidney Exchange Optimization. ICTAI (2018)
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Scheduling-based power capping in high performance computing systems. Sustain. Comput. Informatics Syst. 19 (2018)
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Anomaly Detection using Autoencoders in High Performance Computing Systems. CoRR (2018)
Allegra De Filippo, Michele Lombardi, Michela Milano
Off-Line and On-Line Optimization Under Uncertainty: A Case Study on Energy Management. CPAIOR (2018)
Allegra De Filippo, Michele Lombardi, Michela Milano, Alberto Borghetti
Robust Optimization for Virtual Power Plants. AI*IA (2017)
Federico Chesani, Paola Mello, Michela Milano
Solving Mathematical Puzzles: A Challenging Competition for AI. AI Mag. 38 (3) (2017)
Alessandro Petraro, Federico Caselli, Michela Milano, Marco Lippi
Driving Behaviour Clustering For Realistic Traffic Micro-Simulators. ECMS (2017)
Michele Lombardi, Michela Milano, Andrea Bartolini
Empirical decision model learning. Artif. Intell. 244 (2017)
Michela Milano
Report from the Editor in Chief, year 2015. Constraints An Int. J. 22 (1) (2017)
Mattia Salvaro, Victor Javier Kartsch, Simone Benatti, Michela Milano, Luca Benini
Towards a Novel HMI Paradigm Based on Mixed EEG and Indoor Localization Platforms. NGCAS (2017)
Alessio Bonfietti, Alessandro Zanarini, Michele Lombardi, Michela Milano
The Multirate Resource Constraint. CP (2016)
Federico Chesani, Paola Mello, Michela Milano
Solving Mathematical Puzzles: a Deep Reasoning Challenge (Position Paper). URANIA@AI*IA (2016)
Allegra De Filippo, Michele Lombardi, Michela Milano
Non-linear Optimization of Business Models in the Electricity Market. CPAIOR (2016)
Thomas Bridi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
A Constraint Programming Scheduler for Heterogeneous High-Performance Computing Machines. IEEE Trans. Parallel Distributed Syst. 27 (10) (2016)
Thomas Bridi, Michele Lombardi, Andrea Bartolini, Luca Benini, Michela Milano
DARDIS: Distributed And Randomized DIspatching and Scheduling. AI*IA (2016)
Thomas Bridi, Michele Lombardi, Andrea Bartolini, Luca Benini, Michela Milano
DARDIS: Distributed And Randomized DIspatching and Scheduling. ECAI (2016)
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Predictive Modeling for Job Power Consumption in HPC Systems. ISC (2016)
Michele Lombardi, Alessio Bonfietti, Michela Milano
Deterministic Estimation of the Expected Makespan of a POS Under Duration Uncertainty. CP (2015)
Alessio Bonfietti, Michele Lombardi, Michela Milano
Embedding Decision Trees and Random Forests in Constraint Programming. CPAIOR (2015)
Valerio Iachini, Andrea Borghesi, Michela Milano
Agent Based Simulation of Incentive Mechanisms on Photovoltaic Adoption. AI*IA (2015)
Andrea Borghesi, Francesca Collina, Michele Lombardi, Michela Milano, Luca Benini
Power Capping in High Performance Computing Systems. CP (2015)
Michela Milano, Pascal Van Hentenryck
Emerging Architectures for Global System Science. AAAI (2015)
Thomas Bridi, Michele Lombardi, Andrea Bartolini, Luca Benini, Michela Milano
A CP Scheduler for High-Performance Computers. DC@AI*IA (2015)
Federico Caselli, Alessio Bonfietti, Michela Milano
Swarm-Based Controller for Traffic Lights Management. AI*IA (2015)
Andrea Reale, Paolo Bellavista, Antonio Corradi, Michela Milano
Evaluating CP Techniques to Plan Dynamic Resource Provisioning in Distributed Stream Processing. CPAIOR (2014)
Andrea Bartolini, Andrea Borghesi, Thomas Bridi, Michele Lombardi, Michela Milano
Proactive Workload Dispatching on the EURORA Supercomputer. CP (2014)
Michela Milano, Pascal Van Hentenryck
Looking into the crystal-ball: a bright future for CP. Constraints An Int. J. 19 (2) (2014)
Marco Gavanelli, Michela Milano, Stefano Bragaglia, Federico Chesani, Elisa Marengo, Paolo Cagnoli
Multi-Criteria Optimal Planning for Energy Policies in CLP. CILC (2014)
Michela Milano, Michele Lombardi
Strategic decision making on complex systems. Constraints An Int. J. 19 (2) (2014)
Alessio Bonfietti, Michele Lombardi, Luca Benini, Michela Milano
CROSS cyclic resource-constrained scheduling solver. Artif. Intell. 206 (2014)
Riccardo Belletti, Alessio Bonfietti, Luca Foschini, Michela Milano, Daniel Krajzewicz
Swarm-based traffic lights policy selection. DIVANet@MSWiM (2014)
Michela Milano, Barry O'Sullivan, Marco Gavanelli
Sustainable Policy Making: A Strategic Challenge for Artificial Intelligence. AI Mag. 35 (3) (2014)
Alessio Bonfietti, Michele Lombardi, Michela Milano
Disregarding Duration Uncertainty in Partial Order Schedules? Yes, We Can! CPAIOR (2014)
Michela Milano, Barry O'Sullivan, Martin Sachenbacher
Guest Editors' Introduction: Special Section on Computational Sustainability: Where Computer Science meets Sustainable Development. IEEE Trans. Computers 63 (1) (2014)
Marco Gavanelli, Stefano Bragaglia, Michela Milano, Federico Chesani, Elisa Marengo, Paolo Cagnoli
Multi-Criteria Optimal Planning for Energy Policies in CLP. CoRR (2014)
Michela Milano
Sustainable energy policies: research challenges and opportunities. DATE (2013)
Andrea Borghesi, Michela Milano, Marco Gavanelli, Tony Woods
Simulation Of Incentive Mechanisms For Renewable Energy Policies. ECMS (2013)
Alessio Bonfietti, Michele Lombardi, Michela Milano, Luca Benini
Maximum-throughput mapping of SDFGs on multi-core SoC platforms. J. Parallel Distributed Comput. 73 (10) (2013)
Michele Lombardi, Michela Milano
A Min-Flow Algorithm for Minimal Critical Set Detection in Resource Constrained Project Scheduling. ICAPS (2013)
Michela Milano
Optimization for Policy Making: The Cornerstone for an Integrated Approach. CP (2013)
Michele Lombardi, Michela Milano, Luca Benini
Robust Scheduling of Task Graphs under Execution Time Uncertainty. IEEE Trans. Computers 62 (1) (2013)
Alessio Bonfietti, Michele Lombardi, Michela Milano
De-Cycling Cyclic Scheduling Problems. ICAPS (2013)
Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Paolo Cagnoli
Constraint and Optimization techniques for supporting Policy Making. CILC (2013)
Fabio Parisini, Michela Milano
Sliced Neighborhood Search. Expert Syst. Appl. 39 (5) (2012)
Alessio Bonfietti, Michele Lombardi, Luca Benini, Michela Milano
Global Cyclic Cumulative Constraint. CPAIOR (2012)
Marco Gavanelli, Michela Milano, Alan Holland, Barry O'Sullivan
What-If Analysis Through Simulation-Optimization Hybrids. ECMS (2012)
Alessio Bonfietti, Michela Milano
A Constraint-based Approach to Cyclic Resource-Constrained Scheduling Problem. DC@AI*IA (2012)
Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Paolo Cagnoli
Constraint and Optimization techniques for supporting Policy Making. ISAIM (2012)
Zeynep Kiziltan, Andrea Lodi, Michela Milano, Fabio Parisini
Bounding, filtering and diversification in CP-based local branching. J. Heuristics 18 (3) (2012)
Michele Lombardi, Michela Milano
Optimal methods for resource allocation and scheduling: a cross-disciplinary survey. Constraints An Int. J. 17 (1) (2012)
Michele Lombardi, Michela Milano
A min-flow algorithm for Minimal Critical Set detection in Resource Constrained Project Scheduling. Artif. Intell. (2012)
Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Optimization and Controlled Systems: A Case Study on Thermal Aware Workload Dispatching. AAAI (2012)
Alessio Franceschelli, Paolo Burgio, Giuseppe Tagliavini, Andrea Marongiu, Martino Ruggiero, Michele Lombardi, Alessio Bonfietti, Michela Milano, Luca Benini
MPOpt-Cell: a high-performance data-flow programming environment for the CELL BE processor. Conf. Computing Frontiers (2011)
Fabio Parisini, Michela Milano
Improving CP-based local branching via sliced neighborhood search. SAC (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michela Milano