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ORCIDMichela Milano
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- affiliation: University of Bologna, Italy
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2020 – today
- 2024
[j59]Roberta Calegari
, Fosca Giannotti, Francesca Pratesi, Michela Milano:
Introduction to Special Issue on Trustworthy Artificial Intelligence. ACM Comput. Surv. 56(7): 162:1-162:3 (2024)- [j58]Emmen Farooq, Michela Milano, Andrea Borghesi:
Harnessing federated learning for anomaly detection in supercomputer nodes. Future Gener. Comput. Syst. 161: 673-685 (2024) - [j57]Mattia Silvestri, Allegra De Filippo, Michele Lombardi, Michela Milano:
UNIFY: A unified policy designing framework for solving integrated Constrained Optimization and Machine Learning problems. Knowl. Based Syst. 303: 112383 (2024) - [c131]Michele Braccini, Allegra De Filippo, Michele Lombardi, Michela Milano:
Swarm Intelligence: A Novel and Unconventional Approach to Dance Choreography Creation. CREAI@ECAI 2024: 162-172 - [c130]Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano:
Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method. IJCAI 2024: 7412-7420 - [c129]Allegra De Filippo, Michela Milano:
Large Language Models for Human-AI Co-Creation of Robotic Dance Performances. IJCAI 2024: 7627-7635 - [c128]Giuseppe Spillo, Allegra De Filippo, Cataldo Musto, Michela Milano, Giovanni Semeraro:
Towards Green Recommender Systems: Investigating the Impact of Data Reduction on Carbon Footprint and Algorithm Performances. RecSys 2024: 866-871 - 2023
- [c127]Alessandro Maggio, Luca Giuliani, Roberta Calegari, Michele Lombardi, Michela Milano:
A geometric framework for fairness. AEQUITAS@ECAI 2023 - [c126]Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano:
FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System. AEQUITAS@ECAI 2023 - [c125]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: 5806-5814 - [c124]Roberta Calegari, Gabriel G. Castañé, Michela Milano, Barry O'Sullivan:
Assessing and Enforcing Fairness in the AI Lifecycle. IJCAI 2023: 6554-6562 - [c123]Allegra De Filippo, Michela Milano:
Robotic Choreography Creation Through Symbolic AI Techniques. ICEC 2023: 346-351 - [c122]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: 856-862 - [e10]Roberta Calegari, Andrea Aler Tubella, Gabriel González-Castañé, Virginia Dignum, Michela Milano:
Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), Kraków, Poland, October 1st, 2023. CEUR Workshop Proceedings 3523, CEUR-WS.org 2023 [contents] - [e9]Allegra De Filippo, Michela Milano, Valentina Presutti, Alessandro Saffiotti:
Proceedings of the 2nd Workshop on Artificial Intelligence and Creativity co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), Roma, Italy, November 6, 2023. CEUR Workshop Proceedings 3519, CEUR-WS.org 2023 [contents] - 2022
- [j56]Allegra De Filippo, Andrea Borghesi, Andrea Boscarino, Michela Milano:
HADA: An automated tool for hardware dimensioning of AI applications. Knowl. Based Syst. 251: 109199 (2022) - [j55]Andrea Borghesi, Martin Molan, Michela Milano, Andrea Bartolini:
Anomaly Detection and Anticipation in High Performance Computing Systems. IEEE Trans. Parallel Distributed Syst. 33(4): 739-750 (2022) - [c121]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: 84-93 - [c120]Allegra De Filippo, Paola Mello, Michela Milano:
Do You Like Dancing Robots? AI Can Tell You Why. PAIS@ECAI 2022: 45-58 - [c119]Federico Baldo, Michele Iannello, Michele Lombardi, Michela Milano:
Informed Deep Learning for Epidemics Forecasting. PAIS@ECAI 2022: 86-99 - [e8]Allegra De Filippo, Michela Milano, Valentina Presutti, Alessandro Saffiotti:
Proceedings of the 1st Workshop on Artificial Intelligence and Creativity co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28 - December 3, 2022. CEUR Workshop Proceedings 3278, CEUR-WS.org 2022 [contents] - [i18]Mattia Silvestri, Allegra De Filippo, Michele Lombardi, Michela Milano:
UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning. CoRR abs/2210.14030 (2022) - 2021
- [j54]Allegra De Filippo, Michele Lombardi, Michela Milano:
Integrated Offline and Online Decision Making under Uncertainty. J. Artif. Intell. Res. 70: 77-117 (2021) - [c118]Fabrizio Detassis, Michele Lombardi, Michela Milano:
Teaching the Old Dog New Tricks: Supervised Learning with Constraints. AAAI 2021: 3742-3749 - [c117]Allegra De Filippo, Michele Lombardi, Michela Milano:
Robust Optimization Models For Local Flexibility Characterization of Virtual Power Plants. AI*IA 2021: 609-623 - [c116]Mattia Silvestri, Michele Lombardi, Michela Milano:
Injecting Domain Knowledge in Neural Networks: A Controlled Experiment on a Constrained Problem. CPAIOR 2021: 266-282 - [p3]Yuko Harayama, Michela Milano, Richard Baldwin, Céline Antonin, Janine Berg, Anousheh Karvar, Andrew Wyckoff:
Artificial Intelligence and the Future of Work. Reflections on Artificial Intelligence for Humanity 2021: 53-67 - [e7]Fredrik Heintz, Michela Milano, Barry O'Sullivan:
Trustworthy AI - Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Virtual Event, September 4-5, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12641, Springer 2021, ISBN 978-3-030-73958-4 [contents] - [i17]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 abs/2103.02346 (2021) - 2020
- [c115]Andrea Borghesi, Giuseppe Tagliavini, Michele Lombardi, Luca Benini, Michela Milano:
Combining learning and optimization for transprecision computing. CF 2020: 10-18 - [c114]Fabrizio Detassis, Michele Lombardi, Michela Milano:
Teaching the old dog new tricks: supervised learning with constraints. NeHuAI@ECAI 2020: 44-51 - [c113]Mattia Silvestri, Michele Lombardi, Michela Milano:
Injecting domain knowledge in neural networks: a controlled experiment on a constrained problem. NeHuAI@ECAI 2020: 52-58 - [c112]Allegra De Filippo, Michele Lombardi, Michela Milano:
Hybrid Offline/Online Optimization Under Uncertainty. ECAI 2020: 2899-2900 - [c111]Allegra De Filippo, Michele Lombardi, Michela Milano:
The Blind Men and the Elephant: Integrated Offline/Online Optimization Under Uncertainty. IJCAI 2020: 4840-4846 - [c110]Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano:
Injective Domain Knowledge in Neural Networks for Transprecision Computing. LOD (1) 2020: 587-600 - [c109]Michele Lombardi, Federico Baldo, Andrea Borghesi, Michela Milano:
An Analysis of Regularized Approaches for Constrained Machine Learning. TAILOR 2020: 112-119 - [e6]Giuseppe De Giacomo, Alejandro Catalá, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, Jérôme Lang:
ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020). Frontiers in Artificial Intelligence and Applications 325, IOS Press 2020, ISBN 978-1-64368-100-9 [contents] - [i16]Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano:
Injective Domain Knowledge in Neural Networks for Transprecision Computing. CoRR abs/2002.10214 (2020) - [i15]Mattia Silvestri, Michele Lombardi, Michela Milano:
Injecting Domain Knowledge in Neural Networks: a Controlled Experiment on a Constrained Problem. CoRR abs/2002.10742 (2020) - [i14]Fabrizio Detassis, Michele Lombardi, Michela Milano:
Teaching the Old Dog New Tricks: Supervised Learning with Constraints. CoRR abs/2002.10766 (2020) - [i13]Andrea Borghesi, Giuseppe Tagliavini, Michele Lombardi, Luca Benini, Michela Milano:
Combining Learning and Optimization for Transprecision Computing. CoRR abs/2002.10890 (2020) - [i12]Michele Lombardi, Federico Baldo, Andrea Borghesi, Michela Milano:
An Analysis of Regularized Approaches for Constrained Machine Learning. CoRR abs/2005.10674 (2020) - [i11]Andrea Borghesi, Federico Baldo, Michela Milano:
Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey. CoRR abs/2005.10691 (2020)
2010 – 2019
- 2019
- [j53]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: 634-644 (2019) - [j52]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) - [c108]Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini:
Anomaly Detection Using Autoencoders in High Performance Computing Systems. AAAI 2019: 9428-9433 - [c107]Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini:
Anomaly Detection using Autoencoders in High Performance Computing Systems. DDC@AI*IA 2019: 24-32 - [c106]Allegra De Filippo, Michele Lombardi, Michela Milano:
How to Tame Your Anticipatory Algorithm. DDC@AI*IA 2019: 36-44 - [c105]Andrea Borghesi, Michela Milano, Luca Benini:
Frequency Assignment in High Performance Computing Systems. AI*IA 2019: 151-164 - [c104]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: 108-125 - [c103]Danuta Sorina Chisca, Michele Lombardi, Michela Milano, Barry O'Sullivan:
A Sampling-Free Anticipatory Algorithm for the Kidney Exchange Problem. CPAIOR 2019: 146-162 - [c102]Allegra De Filippo, Michele Lombardi, Michela Milano:
How to Tame Your Anticipatory Algorithm. IJCAI 2019: 1071-1077 - 2018
- [j51]Michela Milano:
Twenty Years of Constraint Programming (CP) Research. Constraints An Int. J. 23(2): 155-157 (2018) - [j50]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): 738-760 (2018) - [j49]Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini:
Scheduling-based power capping in high performance computing systems. Sustain. Comput. Informatics Syst. 19: 1-13 (2018) - [c101]Allegra De Filippo, Michele Lombardi, Michela Milano:
Off-Line and On-Line Optimization Under Uncertainty: A Case Study on Energy Management. CPAIOR 2018: 100-116 - [c100]Andrea Galassi, Michele Lombardi, Paola Mello, Michela Milano:
Model Agnostic Solution of CSPs via Deep Learning: A Preliminary Study. CPAIOR 2018: 254-262 - [c99]Danuta Sorina Chisca, Michele Lombardi, Michela Milano, Barry O'Sullivan:
From Offline to Online Kidney Exchange Optimization. ICTAI 2018: 587-591 - [c98]Allegra De Filippo, Michele Lombardi, Michela Milano:
Methods for off-line/on-line optimization under uncertainty. IJCAI 2018: 1270-1276 - [c97]Michele Lombardi, Michela Milano:
Boosting Combinatorial Problem Modeling with Machine Learning. IJCAI 2018: 5472-5478 - [i10]Andrea Borghesi, Andrea Bartolini, Michela Milano, Luca Benini:
Pricing Schemes for Energy-Efficient HPC Systems: Design and Exploration. CoRR abs/1806.05135 (2018) - [i9]Michele Lombardi, Michela Milano:
Boosting Combinatorial Problem Modeling with Machine Learning. CoRR abs/1807.05517 (2018) - [i8]Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini:
Anomaly Detection using Autoencoders in High Performance Computing Systems. CoRR abs/1811.05269 (2018) - 2017
- [j48]Michele Lombardi, Michela Milano, Andrea Bartolini:
Empirical decision model learning. Artif. Intell. 244: 343-367 (2017) - [j47]Federico Chesani, Paola Mello, Michela Milano:
Solving Mathematical Puzzles: A Challenging Competition for AI. AI Mag. 38(3): 83-96 (2017) - [j46]Michela Milano:
Report from the Editor in Chief, year 2015. Constraints An Int. J. 22(1): 103-105 (2017) - [c96]Allegra De Filippo, Michele Lombardi, Michela Milano, Alberto Borghetti:
Robust Optimization for Virtual Power Plants. AI*IA 2017: 17-30 - [c95]Alessandro Petraro, Federico Caselli, Michela Milano, Marco Lippi:
Driving Behaviour Clustering For Realistic Traffic Micro-Simulators. ECMS 2017: 18-24 - [c94]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: 217-220 - [e5]Federico Chesani, Paola Mello, Michela Milano:
Proceedings of the AI*IA Workshop on Deep Understanding and Reasoning: A Challenge for Next-generation Intelligent Agents 2016 co-located with 15th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2016), Genova, Italy, November 28th, 2016. CEUR Workshop Proceedings 1802, CEUR-WS.org 2017 [contents] - 2016
- [j45]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): 2781-2794 (2016) - [c93]Federico Chesani, Paola Mello, Michela Milano:
Solving Mathematical Puzzles: a Deep Reasoning Challenge (Position Paper). URANIA@AI*IA 2016: 44-49 - [c92]Thomas Bridi, Michele Lombardi, Andrea Bartolini, Luca Benini, Michela Milano:
DARDIS: Distributed And Randomized DIspatching and Scheduling. AI*IA 2016: 493-507 - [c91]Alessio Bonfietti, Alessandro Zanarini, Michele Lombardi, Michela Milano:
The Multirate Resource Constraint. CP 2016: 113-129 - [c90]Allegra De Filippo, Michele Lombardi, Michela Milano:
Non-linear Optimization of Business Models in the Electricity Market. CPAIOR 2016: 81-97 - [c89]Thomas Bridi, Michele Lombardi, Andrea Bartolini, Luca Benini, Michela Milano:
DARDIS: Distributed And Randomized DIspatching and Scheduling. ECAI 2016: 1598-1599 - [c88]Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini:
Predictive Modeling for Job Power Consumption in HPC Systems. ISC 2016: 181-199 - 2015
- [c87]Michela Milano, Pascal Van Hentenryck:
Emerging Architectures for Global System Science. AAAI 2015: 4042-4046 - [c86]Federico Caselli, Alessio Bonfietti, Michela Milano:
Swarm-Based Controller for Traffic Lights Management. AI*IA 2015: 17-30 - [c85]Thomas Bridi, Michele Lombardi, Andrea Bartolini, Luca Benini, Michela Milano:
A CP Scheduler for High-Performance Computers. DC@AI*IA 2015: 37-42 - [c84]Valerio Iachini, Andrea Borghesi, Michela Milano:
Agent Based Simulation of Incentive Mechanisms on Photovoltaic Adoption. AI*IA 2015: 136-148 - [c83]Michele Lombardi, Alessio Bonfietti, Michela Milano:
Deterministic Estimation of the Expected Makespan of a POS Under Duration Uncertainty. CP 2015: 279-294 - [c82]Andrea Borghesi, Francesca Collina, Michele Lombardi, Michela Milano, Luca Benini:
Power Capping in High Performance Computing Systems. CP 2015: 524-540 - [c81]Alessio Bonfietti, Michele Lombardi, Michela Milano:
Embedding Decision Trees and Random Forests in Constraint Programming. CPAIOR 2015: 74-90 - [e4]Efthimios Tambouris, Panos Panagiotopoulos, Øystein Sæbø, Konstantinos A. Tarabanis, Maria A. Wimmer, Michela Milano, Theresa A. Pardo:
Electronic Participation - 7th IFIP 8.5 International Conference, ePart 2015, Thessaloniki, Greece, August 30 - September 2, 2015, Proceedings. Lecture Notes in Computer Science 9249, Springer 2015, ISBN 978-3-319-22499-2 [contents] - 2014
- [j44]Alessio Bonfietti, Michele Lombardi, Luca Benini, Michela Milano:
CROSS cyclic resource-constrained scheduling solver. Artif. Intell. 206: 25-52 (2014) - [j43]Michela Milano, Barry O'Sullivan, Marco Gavanelli:
Sustainable Policy Making: A Strategic Challenge for Artificial Intelligence. AI Mag. 35(3): 22-35 (2014) - [j42]Michela Milano, Pascal Van Hentenryck:
Looking into the crystal-ball: a bright future for CP. Constraints An Int. J. 19(2): 121-125 (2014) - [j41]Michela Milano, Michele Lombardi:
Strategic decision making on complex systems. Constraints An Int. J. 19(2): 174-185 (2014) - [j40]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): 88-89 (2014) - [c80]Marco Gavanelli, Michela Milano, Stefano Bragaglia, Federico Chesani, Elisa Marengo, Paolo Cagnoli:
Multi-Criteria Optimal Planning for Energy Policies in CLP. CILC 2014: 54-68 - [c79]Andrea Bartolini, Andrea Borghesi, Thomas Bridi, Michele Lombardi, Michela Milano:
Proactive Workload Dispatching on the EURORA Supercomputer. CP 2014: 765-780 - [c78]Andrea Reale, Paolo Bellavista, Antonio Corradi, Michela Milano:
Evaluating CP Techniques to Plan Dynamic Resource Provisioning in Distributed Stream Processing. CPAIOR 2014: 193-209 - [c77]Alessio Bonfietti, Michele Lombardi, Michela Milano:
Disregarding Duration Uncertainty in Partial Order Schedules? Yes, We Can! CPAIOR 2014: 210-225 - [c76]Riccardo Belletti, Alessio Bonfietti, Luca Foschini, Michela Milano, Daniel Krajzewicz:
Swarm-based traffic lights policy selection. DIVANet@MSWiM 2014: 1-7 - [i7]Marco Gavanelli, Stefano Bragaglia, Michela Milano, Federico Chesani, Elisa Marengo, Paolo Cagnoli:
Multi-Criteria Optimal Planning for Energy Policies in CLP. CoRR abs/1405.3824 (2014) - 2013
- [j39]Alessio Bonfietti, Michele Lombardi, Michela Milano, Luca Benini:
Maximum-throughput mapping of SDFGs on multi-core SoC platforms. J. Parallel Distributed Comput. 73(10): 1337-1350 (2013) - [j38]Michele Lombardi, Michela Milano, Luca Benini:
Robust Scheduling of Task Graphs under Execution Time Uncertainty. IEEE Trans. Computers 62(1): 98-111 (2013) - [c75]Alessio Bonfietti, Michele Lombardi, Michela Milano:
De-Cycling Cyclic Scheduling Problems. ICAPS 2013 - [c74]Michele Lombardi, Michela Milano:
A Min-Flow Algorithm for Minimal Critical Set Detection in Resource Constrained Project Scheduling. ICAPS 2013 - [c73]Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Paolo Cagnoli:
Constraint and Optimization techniques for supporting Policy Making. CILC 2013: 195-209 - [c72]Michela Milano:
Optimization for Policy Making: The Cornerstone for an Integrated Approach. CP 2013: 1-2 - [c71]Michela Milano:
Sustainable energy policies: research challenges and opportunities. DATE 2013: 1143-1148 - [c70]Andrea Borghesi, Michela Milano, Marco Gavanelli, Tony Woods:
Simulation Of Incentive Mechanisms For Renewable Energy Policies. ECMS 2013: 32-38 - 2012
- [j37]Michele Lombardi, Michela Milano:
A min-flow algorithm for Minimal Critical Set detection in Resource Constrained Project Scheduling. Artif. Intell. 182-183: 58-67 (2012) - [j36]Michele Lombardi, Michela Milano:
Optimal methods for resource allocation and scheduling: a cross-disciplinary survey. Constraints An Int. J. 17(1): 51-85 (2012) - [j35]Fabio Parisini, Michela Milano:
Sliced Neighborhood Search. Expert Syst. Appl. 39(5): 5739-5747 (2012) - [j34]Zeynep Kiziltan, Andrea Lodi, Michela Milano, Fabio Parisini:
Bounding, filtering and diversification in CP-based local branching. J. Heuristics 18(3): 353-374 (2012) - [c69]Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini:
Optimization and Controlled Systems: A Case Study on Thermal Aware Workload Dispatching. AAAI 2012: 427-433 - [c68]Alessio Bonfietti, Michela Milano:
A Constraint-based Approach to Cyclic Resource-Constrained Scheduling Problem. DC@AI*IA 2012: 10-12 - [c67]Alessio Bonfietti, Michele Lombardi, Luca Benini, Michela Milano:
Global Cyclic Cumulative Constraint. CPAIOR 2012: 81-96 - [c66]Marco Gavanelli, Michela Milano, Alan Holland, Barry O'Sullivan:
What-If Analysis Through Simulation-Optimization Hybrids. ECMS 2012: 624-630 - [c65]Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Paolo Cagnoli:
Constraint and Optimization techniques for supporting Policy Making. ISAIM 2012 - [e3]Michela Milano:
Principles and Practice of Constraint Programming - 18th International Conference, CP 2012, Québec City, QC, Canada, October 8-12, 2012. Proceedings. Lecture Notes in Computer Science 7514, Springer 2012, ISBN 978-3-642-33557-0 [contents] - 2011
- [j33]Luca Benini, Michele Lombardi, Michela Milano, Martino Ruggiero:
Optimal resource allocation and scheduling for the CELL BE platform. Ann. Oper. Res. 184(1): 51-77 (2011) - [j32]Michele Lombardi, Michela Milano, Andrea Roli, Alessandro Zanarini:
Deriving Information from Sampling and Diving. Fundam. Informaticae 107(2-3): 267-287 (2011) - [j31]Massimiliano Cattafi, Marco Gavanelli, Michela Milano, Paolo Cagnoli:
Sustainable biomass power plant location in the Italian Emilia-Romagna region. ACM Trans. Intell. Syst. Technol. 2(4): 33:1-33:19 (2011) - [c64]Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Davide Sottara, Alessandro Cangini, Paolo Cagnoli:
An Application of Fuzzy Logic to Strategic Environmental Assessment. AI*IA 2011: 324-335 - [c63]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: 11 - [c62]Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini:
Neuron Constraints to Model Complex Real-World Problems. CP 2011: 115-129 - [c61]Alessio Bonfietti, Michele Lombardi, Luca Benini, Michela Milano:
A Constraint Based Approach to Cyclic RCPSP. CP 2011: 130-144 - [c60]Michele Lombardi, Alessio Bonfietti, Michela Milano, Luca Benini:
Precedence Constraint Posting for Cyclic Scheduling Problems. CPAIOR 2011: 137-153 - [c59]Fabio Parisini, Michela Milano:
Improving CP-based local branching via sliced neighborhood search. SAC 2011: 887-892 - [i6]Andrea Roli, Michela Milano:
Solving the Satisfiability Problem Through Boolean Networks. CoRR abs/1101.6009 (2011) - 2010
- [j30]Michele Lombardi, Michela Milano:
Allocation and scheduling of Conditional Task Graphs. Artif. Intell. 174(7-8): 500-529 (2010) - [j29]Michela Milano, Mark Wallace:
Integrating Operations Research in Constraint Programming. Ann. Oper. Res. 175(1): 37-76 (2010) - [j28]Michele Lombardi, Michela Milano, Martino Ruggiero, Luca Benini:
Stochastic allocation and scheduling for conditional task graphs in multi-processor systems-on-chip. J. Sched. 13(4): 315-345 (2010) - [j27]Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Paolo Cagnoli:
Logic-based decision support for strategic environmental assessment. Theory Pract. Log. Program. 10(4-6): 643-658 (2010) - [c58]Fabio Parisini, Michele Lombardi, Michela Milano:
Discrepancy-Based Sliced Neighborhood Search. AIMSA 2010: 91-100 - [c57]Michele Lombardi, Michela Milano:
Constraint Based Scheduling to Deal with Uncertain Durations and Self-Timed Execution. CP 2010: 383-397 - [c56]Alessio Bonfietti, Luca Benini, Michele Lombardi, Michela Milano:
An efficient and complete approach for throughput-maximal SDF allocation and scheduling on multi-core platforms. DATE 2010: 897-902 - [c55]Gianfilippo Slager, Michela Milano:
Urban Traffic Control system using self-organization. ITSC 2010: 255-260 - [e2]Andrea Lodi, Michela Milano, Paolo Toth:
Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 7th International Conference, CPAIOR 2010, Bologna, Italy, June 14-18, 2010. Proceedings. Lecture Notes in Computer Science 6140, Springer 2010 [contents] - [i5]Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Paolo Cagnoli:
Logic-Based Decision Support for Strategic Environmental Assessment. CoRR abs/1007.3159 (2010)
2000 – 2009
- 2009
- [j26]Michela Milano, Alessio Guerri:
Bid evaluation in combinatorial auctions: optimization and learning. Softw. Pract. Exp. 39(13): 1127-1155 (2009) - [j25]Martino Ruggiero, Davide Bertozzi, Luca Benini, Michela Milano, Alexandru Andrei:
Reducing the Abstraction and Optimality Gaps in the Allocation and Scheduling for Variable Voltage/Frequency MPSoC Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 28(3): 378-391 (2009) - [c54]Michele Lombardi, Michela Milano, Andrea Roli, Alessandro Zanarini:
Deriving Information from Sampling and Diving. AI*IA 2009: 82-91 - [c53]Michele Lombardi, Michela Milano:
A Precedence Constraint Posting Approach for the RCPSP with Time Lags and Variable Durations. CP 2009: 569-583 - [c52]Alessio Bonfietti, Michele Lombardi, Michela Milano, Luca Benini:
Throughput Constraint for Synchronous Data Flow Graphs. CPAIOR 2009: 26-40 - [c51]Michele Lombardi, Michela Milano, Luca Benini:
Robust non-preemptive hard real-time scheduling for clustered multicore platforms. DATE 2009: 803-808 - [p2]Andrea Roli, Michela Milano:
An Overview of AI Research in Italy. Artificial Intelligence: An International Perspective 2009: 174-192 - 2008
- [j24]Martino Ruggiero, Alessio Guerri, Davide Bertozzi, Michela Milano, Luca Benini:
A Fast and Accurate Technique for Mapping Parallel Applications on Stream-Oriented MPSoC Platforms with Communication Awareness. Int. J. Parallel Program. 36(1): 3-36 (2008) - [c50]Luca Benini, Michele Lombardi, Michela Milano, Martino Ruggiero:
A Constraint Programming Approach for Allocation and Scheduling on the CELL Broadband Engine. CP 2008: 21-35 - [c49]Luca Benini, Michele Lombardi, Marco Mantovani, Michela Milano, Martino Ruggiero:
Multi-stage Benders Decomposition for Optimizing Multicore Architectures. CPAIOR 2008: 36-50 - [c48]Martino Ruggiero, Michele Lombardi, Michela Milano, Luca Benini:
Cellflow: A Parallel Application Development Environment with Run-Time Support for the Cell BE Processor. DSD 2008: 645-650 - [c47]Luca Benini, Davide Bertozzi, Michela Milano:
Resource Management Policy Handling Multiple Use-Cases in MPSoC Platforms Using Constraint Programming. ICLP 2008: 470-484 - [p1]Marco Gavanelli, Michela Milano, Sergio Storari, Luca Tagliavini, Paola Baldazzi, Marilena Manfredi, Gianfranco Valastro:
Greedy and Exact Algorithms for Invitation Planning in Cancer Screening. New Challenges in Applied Intelligence Technologies 2008: 255-264 - 2007
- [c46]Michele Lombardi, Michela Milano:
Scheduling Conditional Task Graphs. CP 2007: 468-482 - [c45]Zeynep Kiziltan, Andrea Lodi, Michela Milano, Fabio Parisini:
CP-Based Local Branching. CP 2007: 847-855 - [c44]Emiliano Dolif, Michele Lombardi, Martino Ruggiero, Michela Milano, Luca Benini:
Communication-aware stochastic allocation and scheduling framework for conditional task graphs in multi-processor systems-on-chip. EMSOFT 2007: 47-56 - 2006
- [j23]Michela Milano, Mark Wallace:
Integrating operations research in constraint programming. 4OR 4(3): 175-219 (2006) - [j22]Roman Barták, Michela Milano:
Introduction to the Special Issue on the Integration of AI and OR Techniques in CP for Combinatorial Optimization (CPAIOR 2005). Constraints An Int. J. 11(4): 269-270 (2006) - [j21]Michela Milano, Francesca Rossi:
Constraint Programming. Intelligenza Artificiale 3(1-2): 28-34 (2006) - [j20]Andrea Lodi, Michela Milano, Louis-Martin Rousseau:
Discrepancy-Based Additive Bounding Procedures. INFORMS J. Comput. 18(4): 480-493 (2006) - [c43]Michele Lombardi, Michela Milano:
Stochastic Allocation and Scheduling for Conditional Task Graphs in MPSoCs. CP 2006: 299-313 - [c42]Luca Benini, Davide Bertozzi, Alessio Guerri, Michela Milano:
Allocation, Scheduling and Voltage Scaling on Energy Aware MPSoCs. CPAIOR 2006: 44-58 - [c41]Alessandro Zanarini, Michela Milano, Gilles Pesant:
Improved Algorithm for the Soft Global Cardinality Constraint. CPAIOR 2006: 288-299 - [c40]Martino Ruggiero, Alessio Guerri, Davide Bertozzi, Francesco Poletti, Michela Milano:
Communication-aware allocation and scheduling framework for stream-oriented multi-processor systems-on-chip. DATE 2006: 3-8 - [c39]Martino Ruggiero, Pari Gioia, Guerri Alessio, Luca Benini, Michela Milano, Davide Bertozzi, Alexandru Andrei:
A Cooperative, Accurate Solving Framework for Optimal Allocation, Scheduling and Frequency Selection on Energy-Efficient MPSoCs. SoC 2006: 1-4 - 2005
- [j19]Luca Benini, Davide Bertozzi, Alessio Guerri, Michela Milano, Francesco Poletti:
Measuring Efficiency and Executability of Allocation and Scheduling in Multi-Processor Systems-on-Chip. Intelligenza Artificiale 2(3): 13-20 (2005) - [j18]Marco Gavanelli, Evelina Lamma, Paola Mello, Michela Milano:
Dealing with incomplete knowledge on CLP(FD) variable domains. ACM Trans. Program. Lang. Syst. 27(2): 236-263 (2005) - [j17]Marco Alberti, Marco Gavanelli, Evelina Lamma, Paola Mello, Michela Milano:
A CHR-based implementation of known arc-consistency. Theory Pract. Log. Program. 5(4-5): 419-440 (2005) - [c38]Luca Benini, Davide Bertozzi, Alessio Guerri, Michela Milano:
Allocation and Scheduling for MPSoCs via Decomposition and No-Good Generation. CP 2005: 107-121 - [c37]Luca Benini, Davide Bertozzi, Alessio Guerri, Michela Milano:
Allocation and Scheduling for MPSoCs via decomposition and no-good generation. IJCAI 2005: 1517-1518 - [c36]Marco Alberti, Federico Chesani, Alessio Guerri, Marco Gavanelli, Evelina Lamma, Paola Mello, Michela Milano, Paolo Torroni:
Expressing Interaction in Combinatorial Auction through Social Integrity Constraints. W(C)LP 2005: 53-64 - [e1]Roman Barták, Michela Milano:
Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, Second International Conference, CPAIOR 2005, Prague, Czech Republic, May 30 - June 1, 2005, Proceedings. Lecture Notes in Computer Science 3524, Springer 2005, ISBN 3-540-26152-4 [contents] - 2004
- [j16]Alessio Guerri, Michela Milano:
Instance Structure-based Portfolio Selection. Intelligenza Artificiale 1(2): 37-45 (2004) - [j15]Michela Milano, Andrea Roli:
MAGMA: a multiagent architecture for metaheuristics. IEEE Trans. Syst. Man Cybern. Part B 34(2): 925-941 (2004) - [c35]Cormac Gebruers, Alessio Guerri, Brahim Hnich, Michela Milano:
Making Choices Using Structure at the Instance Level within a Case Based Reasoning Framework. CPAIOR 2004: 380-386 - [c34]Alessio Guerri, Michela Milano:
Learning Techniques for Automatic Algorithm Portfolio Selection. ECAI 2004: 475-479 - [c33]Willem Jan van Hoeve, Michela Milano:
Postponing Branching Decisions. ECAI 2004: 1105-1106 - [i4]Willem Jan van Hoeve, Michela Milano:
Decomposition Based Search - A theoretical and experimental evaluation. CoRR cs.AI/0407040 (2004) - [i3]Willem Jan van Hoeve, Michela Milano:
Postponing Branching Decisions. CoRR cs.AI/0407042 (2004) - [i2]Michela Milano, Willem Jan van Hoeve:
Reduced cost-based ranking for generating promising subproblems. CoRR cs.AI/0407044 (2004) - [i1]Marco Alberti, Marco Gavanelli, Evelina Lamma, Paola Mello, Michela Milano:
A CHR-based Implementation of Known Arc-Consistency. CoRR cs.LO/0408056 (2004) - 2003
- [c32]Marco Gavanelli, Evelina Lamma, Paola Mello, Michela Milano, Paolo Torroni:
Interpreting Abduction in CLP. APPIA-GULP-PRODE 2003: 25-35 - [c31]Andrea Lodi, Michela Milano, Louis-Martin Rousseau:
Discrepancy-Based Additive Bounding for the AllDifferent Constraint. CP 2003: 510-524 - [c30]Alessio Guerri, Michela Milano:
CP-IP Techniques for the Bid Evaluation in Combinatorial Auctions. CP 2003: 863-867 - 2002
- [j14]Filippo Focacci, Andrea Lodi, Michela Milano:
Embedding Relaxations in Global Constraints for Solving TSP and TSPTW. Ann. Math. Artif. Intell. 34(4): 291-311 (2002) - [j13]Filippo Focacci, Andrea Lodi, Michela Milano:
Optimization-Oriented Global Constraints. Constraints An Int. J. 7(3-4): 351-365 (2002) - [j12]Filippo Focacci, Andrea Lodi, Michela Milano:
Mathematical Programming Techniques in Constraint Programming: A Short Overview. J. Heuristics 8(1): 7-17 (2002) - [j11]Michela Milano, Greger Ottosson, Philippe Refalo, Erlendur S. Thorsteinsson:
The Role of Integer Programming Techniques in Constraint Programming's Global Constraints. INFORMS J. Comput. 14(4): 387-402 (2002) - [j10]Filippo Focacci, Andrea Lodi, Michela Milano:
A Hybrid Exact Algorithm for the TSPTW. INFORMS J. Comput. 14(4): 403-417 (2002) - [c29]Michela Milano, Willem Jan van Hoeve:
Reduced Cost-Based Ranking for Generating Promising Subproblems. CP 2002: 1-16 - [c28]Marco Gavanelli, Evelina Lamma, Paola Mello, Michela Milano:
Exploiting Constraints for Domain Managing in CLP(FD). FroCoS 2002: 177-191 - 2001
- [j9]Rosy Barruffi, Michela Milano, Rebecca Montanari:
Planning for Security Management. IEEE Intell. Syst. 16(1): 74-80 (2001) - [j8]Paola Mello, Michela Milano, Marco Gavanelli, Evelina Lamma, Massimo Piccardi, Rita Cucchiara:
From Eager to Lazy Constrained Data Acquisition: A General Framework. New Gener. Comput. 19(4): 339-368 (2001) - [j7]F. Bosi, Michela Milano:
Enhancing CLP branch and bound techniques for scheduling problems. Softw. Pract. Exp. 31(1): 17-42 (2001) - [c27]Rosy Barruffi, Michela Milano:
Planning and Execution in Dynamic Environments. AI*IA 2001: 382-387 - [c26]Filippo Focacci, Michela Milano:
Global Cut Framework for Removing Symmetries. CP 2001: 77-92 - 2000
- [c25]Filippo Focacci, Andrea Lodi, Michela Milano:
Cutting Planes in Constraint Programming: A Hybrid Approach. CP 2000: 187-201 - [c24]Rosy Barruffi, Michela Milano, Paolo Torroni:
Planning while Executing: A Constraint-Based Approach. ISMIS 2000: 228-236
1990 – 1999
- 1999
- [j6]Filippo Focacci, Andrea Lodi, Michela Milano, Daniele Vigo:
Solving TSP through the Integration of OR and CP Techniques. Electron. Notes Discret. Math. 1: 13-25 (1999) - [j5]Evelina Lamma, Paola Mello, Michela Milano, Fabrizio Riguzzi:
Integrating Induction and Abduction in Logic Programming. Inf. Sci. 116(1): 25-54 (1999) - [j4]Evelina Lamma, Michela Milano, Paola Mello:
Reasoning on Constraints in CLP(FD). J. Log. Program. 38(1): 93-110 (1999) - [c23]Marco Gavanelli, Evelina Lamma, Michela Milano, Paola Mello:
Domains as First Class Objects in CLP(FD). APPIA-GULP-PRODE 1999: 411-424 - [c22]Michela Milano, Andrea Roli:
Solving the Satisfiability Problem through Boolean Networks. AI*IA 1999: 72-83 - [c21]Filippo Focacci, Andrea Lodi, Michela Milano:
Cost-Based Domain Filtering. CP 1999: 189-203 - [c20]Rosy Barruffi, Evelina Lamma, Paola Mello, Michela Milano:
Least Commitment on Variable Binding in Presence of Incomplete Knowledge. ECP 1999: 159-171 - [c19]Michela Milano, Andrea Omicini, Fabrizio Riguzzi:
Adopting an Object-Oriented Data Model in Inductive Logic Programming. FLAIRS 1999: 273-279 - [c18]Rita Cucchiara, Evelina Lamma, Paola Mello, Michela Milano, Massimo Piccardi:
3D Object Recognition by VC-Graphs and Interactive Constraint Satisfaction. ICIAP 1999: 508-513 - [c17]Filippo Focacci, Michela Milano, Andrea Lodi:
Soving TSP with Time Windows with Constraints. ICLP 1999: 515-529 - [c16]Marco Gavanelli, Evelina Lamma, Paola Mello, Michela Milano:
Domains as First Class Objects in CLP(FD). ICLP 1999: 608 - [c15]Evelina Lamma, Paola Mello, Michela Milano, Rita Cucchiara, Marco Gavanelli, Massimo Piccardi:
Constraint Propagation and Value Acquisition: Why we should do it Interactively. IJCAI 1999: 468-477 - [c14]Marco Gavanelli, Michela Milano:
On the Need for a Different Backtracking Rule when Dealing with Late Evaluation. WOID@ICLP 1999: 145-156 - 1998
- [j3]Evelina Lamma, Michela Milano, Paola Mello:
Extending Constraint Logic Programming for Temporal Reasoning. Ann. Math. Artif. Intell. 22(1-2): 139-158 (1998) - [j2]Alberto Caprara, Filippo Focacci, Evelina Lamma, Paola Mello, Michela Milano, Paolo Toth, Daniele Vigo:
Integrating Constraint Logic Programming and Operations Research Techniques for the Crew Rostering Problem. Softw. Pract. Exp. 28(1): 49-76 (1998) - [c13]Evelina Lamma, Michela Milano, Rita Cucchiara, Paola Mello, Massimo Piccardi:
Interactive Constraint Satisfaction and its Application to Visual Object Recognition. APPIA-GULP-PRODE 1998: 57-70 - [c12]Rosy Barruffi, Michela Milano:
Interactive Constraint Satisfaction techniques for Information Gathering in Planning. ECAI 1998: 514-515 - 1997
- [j1]Evelina Lamma, Paola Mello, Michela Milano:
A distributed constraint-based scheduler. Artif. Intell. Eng. 11(2): 91-105 (1997) - [c11]Evelina Lamma, Paola Mello, Michela Milano, Fabrizio Riguzzi:
An Algorithm for Learning Abductive Rules. APPIA-GULP-PRODE 1997: 295-306 - [c10]Evelina Lamma, Paola Mello, Michela Milano, Fabrizio Riguzzi:
Introducing Abduction into (Extensional) Inductive Logic Programming Systems. AI*IA 1997: 183-194 - [c9]Evelina Lamma, Michela Milano, Paola Mello:
Reasoning on Constraints in Constraint Logic Programming. ICLP 1997: 413 - [c8]Rita Cucchiara, Evelina Lamma, Paola Mello, Michela Milano:
An Interactive Constraint-Based System for Selective Attention in Visual Search. ISMIS 1997: 431-440 - [c7]Evelina Lamma, Paola Mello, Michela Milano, Fabrizio Riguzzi:
A System for Abductive Learning of Logic Programs. LPKR 1997: 102-122 - [c6]Filippo Focacci, Evelina Lamma, Paola Mello, Michela Milano:
Constraint Logic Programming for the Crew Rostering Problem. PACT 1997: 151-164 - 1996
- [c5]Evelina Lamma, Paola Mello, Michela Milano:
Enhancing Constraint Logic Programming through Meta Programming. APPIA-GULP-PRODE 1996: 523-534 - [c4]Evelina Lamma, Paola Mello, Michela Milano:
A Meta Constraint Logic Programming Architecture (Extended Abstract). CP 1996: 549-550 - [c3]Evelina Lamma, Michela Milano, Paola Mello:
Combining Solvers in a Meta Constraint Logic Programming Architecture. FroCoS 1996: 267-283 - [c2]Vittorio Brusoni, Luca Console, Evelina Lamma, Paola Mello, Michela Milano, Paolo Terenziani:
Resource-Based vs. Task-Based Approaches for Scheduling Problems. ISMIS 1996: 325-334 - [c1]Evelina Lamma, Paola Mello, Michela Milano:
Temporal Reasoning in a Meta Constraint Logic Programming Architecture. TIME 1996: 128-135
Coauthor Index
[j57] [c131] [c130] [c127] [c126] [c119] [i18] [j54] [c118] [c117] [c116] [i17] [c115] [c114] [c113] [c112] [c111] [c110] [c109] [i16] [i15] [i14] [i13] [i12] [j53] [c108] [c107] [c106] [c104] [c103] [c102] [j49] [c101] [c100] [c99] [c98] [c97] [i9] [i8] [j48] [c96] [j45] [c92] [c91] [c90] [c89] [c88] [c85] [c83] [c82] [c81] [j44] [j41] [c79] [c77] [j39] [j38] [c75] [c74] [j37] [j36] [c69] [c67] [j33] [j32] [c63] [c62] [c61] [c60] [j30] [j28] [c58] [c57] [c56] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c46] [c44] [c43]
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