LOMBARDI, MICHELE
LOMBARDI, MICHELE
DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
Docenti di ruolo di IIa fascia
M. Lombardi; M. Lombard; Lombardi M.; Michele Lombardi
A Constraint based approach to cyclic RCPSP
2011 A. Bonfietti; M. Lombardi; L. Benini; M. Milano
A Constraint Programming Approach for Allocation and Scheduling on the CELL Broadband Engine
2008 L. Benini; M. Lombardi; M. Milano; M. Ruggiero
A Constraint Programming Scheduler for Heterogeneous High-Performance Computing Machines
2016 Bridi, Thomas; Bartolini, Andrea; Lombardi, Michele; Milano, Michela; Benini, Luca
A CP scheduler for high-performance computers
2015 Bridi, Thomas; Lombardi, Michele; Bartolini, Andrea; Benini, Luca; Milano, Michela
A lagrangian propagator for artificial neural networks in constraint programming
2016 Lombardi, Michele; Gualandi, Stefano
A Min-Flow Algorithm for Minimal Critical Set Detection in Resource Constrained Project Scheduling
2013 Michele Lombardi; Michela Milano
A min-flow algorithm for Minimal Critical Set detection in Resource Constrained Project Scheduling
2012 M. Lombardi; M. Milano
A New Propagator for Two-Layer Neural Networks in Empirical Model Learning
2013 Michele Lombardi;Stefano Gualandi
A Precedence Constraint Posting Approach for the RCPSP with Time Lags and Variable Durations
2009 M. LOMBARDI; M. MILANO
A Sampling-Free Anticipatory Algorithm for the Kidney Exchange Problem
2019 Chisca D.S.; Lombardi M.; Milano M.; O'Sullivan B.
A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems
2019 Borghesi A.; Bartolini A.; Lombardi M.; Milano M.; Benini L.
A Simple and Effective Decomposition for the Multidimensional Binpacking Constraint
2013 Stefano Gualandi;Michele Lombardi
Allocation and Scheduling of Conditional Task Graphs
2010 M. Lombardi; M. Milano
An Analysis of Regularized Approaches for Constrained Machine Learning
2021 Lombardi, Michele; Baldo, Federico; Borghesi, Andrea; Milano, Michela
An efficient and complete approach for throughput-maximal SDF allocation and scheduling on multi-core platforms
2010 A. Bonfietti; L. Benini; M. Lombardi; M. Milano
Anomaly Detection Using Autoencoders in High Performance Computing Systems
2019 Borghesi, Andrea; Bartolini, Andrea; Lombardi, Michele; Milano, Michela; Benini, Luca
Boosting combinatorial problem modeling with machine learning
2018 Lombardi, Michele; Milano, Michela
Cellflow: A Parallel Application Development Environment with Run-Time Support for the Cell BE Processor
2008 M. Ruggiero; M. Lombardi; M. Milano; L. Benini
Combining learning and optimization for transprecision computing
2020 Borghesi, Andrea; Tagliavini, Giuseppe; Lombardi, Michele; Benini, Luca; Milano, Michela
Communication-aware stochastic allocation and scheduling framework for conditional task graphs in multi-processor systems-on-chip
2007 E. Dolif; M. Lombardi; M. Ruggiero; M. Milano; L. Benini
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| A Constraint based approach to cyclic RCPSP | A. Bonfietti; M. Lombardi; L. Benini; M. Milano | 2011-01-01 | - | Springer Verlag Berlin Heidelberg | 4.01 Contributo in Atti di convegno | - |
| A Constraint Programming Approach for Allocation and Scheduling on the CELL Broadband Engine | L. Benini; M. Lombardi; M. Milano; M. Ruggiero | 2008-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | - |
| A Constraint Programming Scheduler for Heterogeneous High-Performance Computing Machines | Bridi, Thomas; Bartolini, Andrea; Lombardi, Michele; Milano, Michela; Benini, Luca | 2016-01-01 | IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS | - | 1.01 Articolo in rivista | paper3.pdf |
| A CP scheduler for high-performance computers | Bridi, Thomas; Lombardi, Michele; Bartolini, Andrea; Benini, Luca; Milano, Michela | 2015-01-01 | CEUR WORKSHOP PROCEEDINGS | CEUR-WS | 4.01 Contributo in Atti di convegno | - |
| A lagrangian propagator for artificial neural networks in constraint programming | Lombardi, Michele; Gualandi, Stefano | 2016-01-01 | CONSTRAINTS | - | 1.01 Articolo in rivista | - |
| A Min-Flow Algorithm for Minimal Critical Set Detection in Resource Constrained Project Scheduling | Michele Lombardi; Michela Milano | 2013-01-01 | - | AAAI | 4.01 Contributo in Atti di convegno | - |
| A min-flow algorithm for Minimal Critical Set detection in Resource Constrained Project Scheduling | M. Lombardi; M. Milano | 2012-01-01 | ARTIFICIAL INTELLIGENCE | - | 1.01 Articolo in rivista | - |
| A New Propagator for Two-Layer Neural Networks in Empirical Model Learning | Michele Lombardi;Stefano Gualandi | 2013-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| A Precedence Constraint Posting Approach for the RCPSP with Time Lags and Variable Durations | M. LOMBARDI; M. MILANO | 2009-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| A Sampling-Free Anticipatory Algorithm for the Kidney Exchange Problem | Chisca D.S.; Lombardi M.; Milano M.; O'Sullivan B. | 2019-01-01 | - | Springer Verlag | 4.01 Contributo in Atti di convegno | - |
| A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems | Borghesi A.; Bartolini A.; Lombardi M.; Milano M.; Benini L. | 2019-01-01 | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | - | 1.01 Articolo in rivista | anomalyDetection_AE_engApps_AI_REV1.pdf |
| A Simple and Effective Decomposition for the Multidimensional Binpacking Constraint | Stefano Gualandi;Michele Lombardi | 2013-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Allocation and Scheduling of Conditional Task Graphs | M. Lombardi; M. Milano | 2010-01-01 | ARTIFICIAL INTELLIGENCE | - | 1.01 Articolo in rivista | - |
| 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 |
| An efficient and complete approach for throughput-maximal SDF allocation and scheduling on multi-core platforms | A. Bonfietti; L. Benini; M. Lombardi; M. Milano | 2010-01-01 | - | Kathy Preas, KP | 4.01 Contributo in Atti di convegno | - |
| Anomaly Detection Using Autoencoders in High Performance Computing Systems | Borghesi, Andrea; Bartolini, Andrea; Lombardi, Michele; Milano, Michela; Benini, Luca | 2019-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Boosting combinatorial problem modeling with machine learning | Lombardi, Michele; Milano, Michela | 2018-01-01 | IJCAI | International Joint Conferences on Artificial Intelligence | 4.01 Contributo in Atti di convegno | - |
| Cellflow: A Parallel Application Development Environment with Run-Time Support for the Cell BE Processor | M. Ruggiero; M. Lombardi; M. Milano; L. Benini | 2008-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
| Combining learning and optimization for transprecision computing | Borghesi, Andrea; Tagliavini, Giuseppe; Lombardi, Michele; Benini, Luca; Milano, Michela | 2020-01-01 | - | - | 4.01 Contributo in Atti di convegno | Combining Learning and Optimization for Transprecision.pdf |
| Communication-aware stochastic allocation and scheduling framework for conditional task graphs in multi-processor systems-on-chip | E. Dolif; M. Lombardi; M. Ruggiero; M. Milano; L. Benini | 2007-01-01 | - | ACM | 4.01 Contributo in Atti di convegno | - |