Andrea Borghesi

Orcid: 0000-0002-2298-2944

According to our database1, Andrea Borghesi authored at least 52 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
RUAD: Unsupervised anomaly detection in HPC systems.
Future Gener. Comput. Syst., April, 2023

ExaMon-X: A Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems.
IEEE Internet Things J., February, 2023

Online Job Failure Prediction in an HPC System.
CoRR, 2023

Design of an energy aware petaflops class high performance cluster based on power architecture.
CoRR, 2023

Model for Quantitative Estimation of Functionality Influence on the Final Value of a Software Product.
IEEE Access, 2023

Graph Neural Networks for Anomaly Anticipation in HPC Systems.
Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

MusiComb: a Sample-based Approach to Music Generation Through Constraints.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

A Federated Learning Approach for Anomaly Detection in High Performance Computing.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

TinderAI: Support System for Matching AI Algorithms and Embedded Devices.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Towards Intelligent Music Production: A Sample-based Approach.
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), 2023

2022
Anomaly Detection and Anticipation in High Performance Computing Systems.
IEEE Trans. Parallel Distributed Syst., 2022

HADA: An automated tool for hardware dimensioning of AI applications.
Knowl. Based Syst., 2022

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, 2022

Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens.
CoRR, 2022

Predictive Maintenance Based on Machine Learning Model.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022

Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection.
Proceedings of the Euro-Par 2022: Parallel Processing Workshops, 2022

Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models.
Proceedings of the Euro-Par 2022: Parallel Processing, 2022

Constrained Hardware Dimensioning for AI Algorithms.
Proceedings of the PAIS 2022, 2022

Semi-supervised anomaly detection on a Tier-0 HPC system.
Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

A Multi-modal Perspective for the Artistic Evaluation of Robotic Dance Performances.
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, 2022

2021
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset.
Medical Image Anal., 2021

Deep Learning for Virus-Spreading Forecasting: a Brief Survey.
CoRR, 2021

An Explainable Model for Fault Detection in HPC Systems.
Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021

IoTwins: Design and Implementation of a Platform for the Management of Digital Twins in Industrial Scenarios.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020
Countdown Slack: A Run-Time Library to Reduce Energy Footprint in Large-Scale MPI Applications.
IEEE Trans. Parallel Distributed Syst., 2020

A machine learning approach to online fault classification in HPC systems.
Future Gener. Comput. Syst., 2020

End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays.
CoRR, 2020

Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey.
CoRR, 2020

An Analysis of Regularized Approaches for Constrained Machine Learning.
Proceedings of the Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2020

Injective Domain Knowledge in Neural Networks for Transprecision Computing.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Combining learning and optimization for transprecision computing.
Proceedings of the 17th ACM International Conference on Computing Frontiers, 2020

2019
Pricing schemes for energy-efficient HPC systems: Design and exploration.
Int. J. High Perform. Comput. Appl., 2019

A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems.
Eng. Appl. Artif. Intell., 2019

Paving the Way Toward Energy-Aware and Automated Datacentre.
Proceedings of the 48th International Conference on Parallel Processing, 2019

Online Fault Classification in HPC Systems Through Machine Learning.
Proceedings of the Euro-Par 2019: Parallel Processing, 2019

Frequency Assignment in High Performance Computing Systems.
Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

Online Anomaly Detection in HPC Systems.
Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

Anomaly Detection Using Autoencoders in High Performance Computing Systems.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Scheduling-based power capping in high performance computing systems.
Sustain. Comput. Informatics Syst., 2018

Energy and Power Aware Job Scheduling and Resource Management: Global Survey - Initial Analysis.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

FINJ: A Fault Injection Tool for HPC Systems.
Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

The D.A.V.I.D.E. big-data-powered fine-grain power and performance monitoring support.
Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018

2017
Power-Aware Job Dispatching in High Performance Computing Systems.
PhD thesis, 2017

Data-Driven Job Dispatching in HPC Systems.
Proceedings of the Machine Learning, Optimization, and Big Data, 2017

Design of an Energy Aware Petaflops Class High Performance Cluster Based on Power Architecture.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

2016
Predictive Modeling for Job Power Consumption in HPC Systems.
Proceedings of the High Performance Computing - 31st International Conference, 2016

2015
MS3: A Mediterranean-stile job scheduler for supercomputers - do less when it's too hot!
Proceedings of the 2015 International Conference on High Performance Computing & Simulation, 2015

Power Capping in High Performance Computing Systems.
Proceedings of the Principles and Practice of Constraint Programming, 2015

Agent Based Simulation of Incentive Mechanisms on Photovoltaic Adoption.
Proceedings of the AI*IA 2015, Advances in Artificial Intelligence, 2015

2014
Proactive Workload Dispatching on the EURORA Supercomputer.
Proceedings of the Principles and Practice of Constraint Programming, 2014

2013
Simulation Of Incentive Mechanisms For Renewable Energy Policies.
Proceedings of the 27th European Conference on Modelling and Simulation, 2013


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