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Michela Milano

Michela Milano

D-Index & Metrics

Computer Science

D-Index
31
Citations
4011
World Ranking
13681
National Ranking
497

Overview

Michela Milano is affiliated with the University of Bologna in Italy. The scientist's research is primarily situated within the fields of Computer Science and Engineering, with substantial contributions focused on subfields such as Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Control and Systems Engineering, and Computer Vision and Pattern Recognition.

The research topics covered by Michela Milano encompass a range of areas including Machine Learning and Data Classification, Explainable Artificial Intelligence (XAI), AI-based Problem Solving and Planning, Smart Grid Energy Management, Anomaly Detection Techniques and Applications, Network Security and Intrusion Detection, and Optimization and Search Problems.

Recent publications provide insight into Michela Milano's research trajectory and include:

  • "Anomaly Detection and Anticipation in High Performance Computing Systems," published in 2021 in IEEE Transactions on Parallel and Distributed Systems
  • "Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey," published in 2020 in arXiv (Cornell University)
  • "Optimization and Controlled Systems: A Case Study on Thermal Aware Workload Dispatching," published in 2021 in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Integrated Offline and Online Decision Making under Uncertainty," published in 2021 in Journal of Artificial Intelligence Research
  • "HADA: An automated tool for hardware dimensioning of AI applications," published in 2022 in Knowledge-Based Systems

Michela Milano frequently collaborates with several co-authors, reflecting a network of research partnerships. Among these, frequent collaborators include Allegra De Filippo, Michele Lombardi, Andrea Borghesi, Mattia Silvestri, and Federico Baldo.

The scientist's work has been published in various venues with multiple contributions observed particularly in Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, Knowledge-Based Systems, and Lecture Notes in Computer Science.

Best Publications

  • Anomaly Detection Using Autoencoders in High Performance Computing Systems

    Andrea Borghesi;Andrea Bartolini;Michele Lombardi;Michela Milano

  • Cost-Based Domain Filtering

    Filippo Focacci;Andrea Lodi;Michela Milano

  • Global Cut Framework for Removing Symmetries

    Filippo Focacci;Michela Milano

  • A Hybrid Exact Algorithm for the TSPTW

    Filippo Focacci;Andrea Lodi;Michela Milano

  • MAGMA: a multiagent architecture for metaheuristics

    M. Milano;A. Roli

  • Communication-aware allocation and scheduling framework for stream-oriented multi-processor systems-on-chip

    M. Ruggiero;A. Guerri;D. Bertozzi;F. Poletti

  • Constraint and Integer Programming

    Michela Milano;Michael Trick

  • Constraint and integer programming : toward a unified methodology

    Michela Milano

  • Empirical decision model learning

    Michele Lombardi;Michela Milano;Andrea Bartolini

  • A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems

    Andrea Borghesi;Andrea Bartolini;Michele Lombardi;Michela Milano

  • An efficient and complete approach for throughput-maximal SDF allocation and scheduling on multi-core platforms

    Alessio Bonfietti;Luca Benini;Michele Lombardi;Michela Milano

  • Allocation and scheduling for MPSoCs via decomposition and no-good generation

    Luca Benini;Davide Bertozzi;Alessio Guerri;Michela Milano

  • Optimal methods for resource allocation and scheduling: a cross-disciplinary survey

    Michele Lombardi;Michela Milano

  • Learning techniques for automatic algorithm portfolio selection

    Alessio Guerri;Michela Milano

  • Integrating constraint logic programming and operations research techniques for the crew rostering problem

    A. Caprara;F. Focacci;E. Lamma;P. Mello

  • Constraint Propagation and Value Acquisition: Why we should do it Interactively

    Evelina Lamma;Paola Mello;Michela Milano;Rita Cucchiara

  • Integrating Operations Research in Constraint Programming

    Michela Milano;Mark Wallace

  • Boosting Combinatorial Problem Modeling with Machine Learning

    Michele Lombardi;Michela Milano

  • Solving TSP with time windows with constraints

    Filippo Focacci;Michela Milano;Andrea Lodi

  • Optimization-Oriented Global Constraints

    Filippo Focacci;Andrea Lodi;Michela Milano

  • Cutting Planes in Constraint Programming: A Hybrid Approach

    Filippo Focacci;Andrea Lodi;Michela Milano

  • Predictive Modeling for Job Power Consumption in HPC Systems

    Andrea Borghesi;Andrea Bartolini;Michele Lombardi;Michela Milano

  • The Need of Multidisciplinary Approaches and Engineering Tools for the Development and Implementation of the Smart City Paradigm

    Oreste Andrisano;Ilaria Bartolini;Paolo Bellavista;Andrea Boeri

Frequent Co-Authors

Luca Benini
Luca Benini ETH Zurich
Paola Mello
Paola Mello University of Bologna
Andrea Lodi
Andrea Lodi Cornell University
Davide Bertozzi
Davide Bertozzi University of Ferrara
Thomas Stützle
Thomas Stützle Université Libre de Bruxelles
Rita Cucchiara
Rita Cucchiara University of Modena and Reggio Emilia
Paolo Torroni
Paolo Torroni University of Bologna
Daniele Vigo
Daniele Vigo University of Bologna
Pascal Van Hentenryck
Pascal Van Hentenryck Georgia Institute of Technology

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