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- > Home > Persons > Michela Milano
Publications
- 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- 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 - 2021
- [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 - [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 - [i16]Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano:
Injective Domain Knowledge in Neural Networks for Transprecision Computing. CoRR abs/2002.10214 (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) - 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 - [c105]Andrea Borghesi, Michela Milano, Luca Benini:
Frequency Assignment in High Performance Computing Systems. AI*IA 2019: 151-164 - 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) - [i10]Andrea Borghesi, Andrea Bartolini, Michela Milano, Luca Benini:
Pricing Schemes for Energy-Efficient HPC Systems: Design and Exploration. CoRR abs/1806.05135 (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) - 2016
- [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
- [c84]Valerio Iachini, Andrea Borghesi, Michela Milano:
Agent Based Simulation of Incentive Mechanisms on Photovoltaic Adoption. AI*IA 2015: 136-148 - [c82]Andrea Borghesi, Francesca Collina, Michele Lombardi, Michela Milano, Luca Benini:
Power Capping in High Performance Computing Systems. CP 2015: 524-540 - 2014
- [c79]Andrea Bartolini, Andrea Borghesi, Thomas Bridi, Michele Lombardi, Michela Milano:
Proactive Workload Dispatching on the EURORA Supercomputer. CP 2014: 765-780 - 2013
- [c70]Andrea Borghesi, Michela Milano, Marco Gavanelli, Tony Woods:
Simulation Of Incentive Mechanisms For Renewable Energy Policies. ECMS 2013: 32-38
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