Andrea Borghesi

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 61

Top Venues

CoRR

Future Gener. Comput. Syst.

Euro-Par Workshops

University of Bologna, Italy (PHD)

Education History

University of Bologna, Italy

PHD

Publications

Emmen Farooq, Michela Milano, Andrea Borghesi
Harnessing federated learning for anomaly detection in supercomputer nodes. Future Gener. Comput. Syst. 161 (2024)
Martin Molan, Mohsen Seyedkazemi Ardebili, Junaid Ahmed Khan, Francesco Beneventi, Daniele Cesarini, Andrea Borghesi, Andrea Bartolini
GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems. Future Gener. Comput. Syst. 160 (2024)
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)
Francesco Antici, Andrea Borghesi, Zeynep Kiziltan
Online Job Failure Prediction in an HPC System. Euro-Par Workshops (2023)
Luca Giuliani, Allegra De Filippo, Andrea Borghesi
Towards Intelligent Music Production: A Sample-based Approach. CREAI@AI*IA (2023)
Martin Molan, Junaid Ahmed Khan, Andrea Borghesi, Andrea Bartolini
Graph Neural Networks for Anomaly Anticipation in HPC Systems. ICPE (Companion) (2023)
Martin Molan, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini
RUAD: Unsupervised anomaly detection in HPC systems. Future Gener. Comput. Syst. 141 (2023)
Matteo Francobaldi, Allegra De Filippo, Andrea Borghesi, Nikola Pizurica, Igor Jovancevic, Tim Llewellynn, Miguel de Prado
TinderAI: Support System for Matching AI Algorithms and Embedded Devices. FLAIRS (2023)
Emmen Farooq, Andrea Borghesi
A Federated Learning Approach for Anomaly Detection in High Performance Computing. ICTAI (2023)
Luca Giuliani, Francesco Ballerini, Allegra De Filippo, Andrea Borghesi
MusiComb: a Sample-based Approach to Music Generation Through Constraints. ICTAI (2023)
Gregor Molan, Gregor Dolinar, Jovan Bojkovski, Radu Prodan, Andrea Borghesi, Martin Molan
Model for Quantitative Estimation of Functionality Influence on the Final Value of a Software Product. IEEE Access 11 (2023)
W. A. Ahmad, Andrea Bartolini, Francesco Beneventi, Luca Benini, Andrea Borghesi, Marco Cicala, Privato Forestieri, Cosimo Gianfreda, Daniele Gregori, Antonio Libri, Filippo Spiga, Simone Tinti
Design of an energy aware petaflops class high performance cluster based on power architecture. CoRR (2023)
Andrea Borghesi, Alessio Burrello, Andrea Bartolini
ExaMon-X: A Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems. IEEE Internet Things J. 10 (4) (2023)
Francesco Antici, Andrea Borghesi, Zeynep Kiziltan
Online Job Failure Prediction in an HPC System. CoRR (2023)
Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini
Semi-supervised anomaly detection on a Tier-0 HPC system. CF (2022)
Andrea Borghesi, Diego Di Salvo, Pietro Ciolli, Teresa Falcone, Marco Ravanelli, Davide Farina, Nicola Carapella
Detection Rate and Variability in Measurement of Mandibular Incisive Canal on Cone-Beam Computed Tomography: A Study of 220 Dentate Hemi-Mandibles from Italy. J. Imaging 8 (6) (2022)
Stefano Teso, Laurens Bliek, Andrea Borghesi, Michele Lombardi, Neil Yorke-Smith, Tias Guns, Andrea Passerini
Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens. CoRR (2022)
Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini
Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models. Euro-Par (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)
Bassem Hichri, Anass Driate, Andrea Borghesi, Francesco Giovannini
Predictive Maintenance Based on Machine Learning Model. AIAI (2) (2022)
Martin Molan, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini
RUAD: unsupervised anomaly detection in HPC systems. CoRR (2022)
Allegra De Filippo, Andrea Borghesi
Constrained Hardware Dimensioning for AI Algorithms. PAIS@ECAI (2022)
Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini
Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection. Euro-Par Workshops (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)
Martin Molan, Andrea Borghesi, Francesco Beneventi, Massimiliano Guarrasi, Andrea Bartolini
An Explainable Model for Fault Detection in HPC Systems. ISC Workshops (2021)
Andrea Borghesi, Giuseppe Di Modica, Paolo Bellavista, Varun Gowtham, Alexander Willner, Daniel Nehls, Florian Kintzler, Stephan Cejka, Simone Rossi Tisbeni, Alessandro Costantini, Matteo Galletti, Marica Antonacci, Jean Christian Ahouangonou
IoTwins: Design and Implementation of a Platform for the Management of Digital Twins in Industrial Scenarios. CCGRID (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)
Alberto Signoroni, Mattia Savardi, Sergio Benini, Nicola Adami, Riccardo Leonardi, Paolo Gibellini, Filippo Vaccher, Marco Ravanelli, Andrea Borghesi, Roberto Maroldi, Davide Farina
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset. Medical Image Anal. 71 (2021)
Daniele Cesarini, Andrea Bartolini, Andrea Borghesi, Carlo Cavazzoni, Mathieu Luisier, Luca Benini
Countdown Slack: A Run-Time Library to Reduce Energy Footprint in Large-Scale MPI Applications. IEEE Trans. Parallel Distributed Syst. 31 (11) (2020)
Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
A Machine Learning Approach to Online Fault Classification in HPC Systems. CoRR (2020)
Andrea Borghesi, Federico Baldo, Michela Milano
Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey. CoRR (2020)
Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
A machine learning approach to online fault classification in HPC systems. Future Gener. Comput. Syst. 110 (2020)
Alberto Signoroni, Mattia Savardi, Sergio Benini, Nicola Adami, Riccardo Leonardi, Paolo Gibellini, Filippo Vaccher, Marco Ravanelli, Andrea Borghesi, Roberto Maroldi, Davide Farina
End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays. 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)
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)
Daniele Cesarini, Andrea Bartolini, Andrea Borghesi, Carlo Cavazzoni, Mathieu Luisier, Luca Benini
COUNTDOWN Slack: a Run-time Library to Reduce Energy Footprint in Large-scale MPI Applications. CoRR (2019)
Andrea Bartolini, Francesco Beneventi, Andrea Borghesi, Daniele Cesarini, Antonio Libri, Luca Benini, Carlo Cavazzoni
Paving the Way Toward Energy-Aware and Automated Datacentre. ICPP Workshops (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)
Andrea Borghesi, Michela Milano, Luca Benini
Frequency Assignment in High Performance Computing Systems. AI*IA (2019)
Andrea Borghesi, Antonio Libri, Luca Benini, Andrea Bartolini
Online Anomaly Detection in HPC Systems. CoRR (2019)
Andrea Borghesi, Antonio Libri, Luca Benini, Andrea Bartolini
Online Anomaly Detection in HPC Systems. AICAS (2019)
Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
Online Fault Classification in HPC Systems Through Machine Learning. Euro-Par (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)
Andrea Bartolini, Andrea Borghesi, Antonio Libri, Francesco Beneventi, Daniele Gregori, Simone Tinti, Cosimo Gianfreda, Piero Altoe
The D.A.V.I.D.E. big-data-powered fine-grain power and performance monitoring support. CF (2018)
Andrea Borghesi, Andrea Bartolini, Michela Milano, Luca Benini
Pricing Schemes for Energy-Efficient HPC Systems: Design and Exploration. CoRR (2018)
Matthias Maiterth, Gregory A. Koenig, Kevin T. Pedretti, Siddhartha Jana, Natalie J. Bates, Andrea Borghesi, Dave Montoya, Andrea Bartolini, Milos Puzovic
Energy and Power Aware Job Scheduling and Resource Management: Global Survey - Initial Analysis. IPDPS Workshops (2018)
Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
FINJ: A Fault Injection Tool for HPC Systems. Euro-Par Workshops (2018)
Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
Online Fault Classification in HPC Systems through Machine Learning. CoRR (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)
Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
FINJ: A Fault Injection Tool for HPC Systems. CoRR (2018)
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Anomaly Detection using Autoencoders in High Performance Computing Systems. CoRR (2018)
Cristian Galleguillos, Alina Sîrbu, Zeynep Kiziltan, Özalp Babaoglu, Andrea Borghesi, Thomas Bridi
Data-Driven Job Dispatching in HPC Systems. MOD (2017)
Wissam Abu Ahmad, Andrea Bartolini, Francesco Beneventi, Luca Benini, Andrea Borghesi, Marco Cicala, Privato Forestieri, Cosimo Gianfreda, Daniele Gregori, Antonio Libri, Filippo Spiga, Simone Tinti
Design of an Energy Aware Petaflops Class High Performance Cluster Based on Power Architecture. IPDPS Workshops (2017)
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Predictive Modeling for Job Power Consumption in HPC Systems. ISC (2016)
Valerio Iachini, Andrea Borghesi, Michela Milano
Agent Based Simulation of Incentive Mechanisms on Photovoltaic Adoption. AI*IA (2015)
Andrea Borghesi, Christian Conficoni, Michele Lombardi, Andrea Bartolini
MS3: A Mediterranean-stile job scheduler for supercomputers - do less when it's too hot! HPCS (2015)
Andrea Borghesi, Francesca Collina, Michele Lombardi, Michela Milano, Luca Benini
Power Capping in High Performance Computing Systems. CP (2015)
Andrea Bartolini, Andrea Borghesi, Thomas Bridi, Michele Lombardi, Michela Milano
Proactive Workload Dispatching on the EURORA Supercomputer. CP (2014)
Andrea Borghesi, Michela Milano, Marco Gavanelli, Tony Woods
Simulation Of Incentive Mechanisms For Renewable Energy Policies. ECMS (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Andrea Borghesi