Andrea Borghesi

81 papers A* 2A 2B 4C 5Misc 1Journal 36Unranked 30
YearRankTypeTitle / Venue / Authors
2026 — conf
AI-Based Skin Disease Diagnosis with Non-Dermoscopic Images: Tackling Bias and Data Limitations.
HICSS
Chiara Bellatreccia, Daniele Zama, Arianna Dondi, Luca Pierantoni, Laura Andreozzi, Iria Neri, Marcello Lanari, Andrea Borghesi, Roberta Calegari
2026 J jnl
An online algorithm for power consumption prediction of HPC workload.
Future Gener. Comput. Syst.
Francesco Antici, Andrea Borghesi, Zeynep Kiziltan, Jens Domke, Andrea Bartolini
2026 J jnl
Federated LSTM autoencoders for time series anomaly detection in production-scale HPC systems.
Knowl. Based Syst.
Emmen Farooq, Michela Milano, Andrea Borghesi
2026 J jnl
Federated transfer learning for anomaly detection in HPC systems: First real-world validation on a tier-0 supercomputer.
Expert Syst. Appl.
Emmen Farooq, Michela Milano, Andrea Borghesi
2025 — conf
AI-fairness: The FairBridge Approach to Practically Bridge the Gap Between Socio-legal and Technical Perspectives.
HICSS
Andrea Borghesi, Giovanni Ciatto, Mattia Matteini, Roberta Calegari, Laura Sartori, Maria Rebrean, Catelijne Muller
2025 — conf
Addressing Bias and Data Scarcity in AI-Based Skin Disease Diagnosis with Non-Dermoscopic Images.
AIMMES
Chiara Bellatreccia, Daniele Zama, Arianna Dondi, Luca Pierantoni, Laura Andreozzi, Iria Neri, Marcello Lanari, Andrea Borghesi, Roberta Calegari
2025 J jnl
C6EnPLS: A High-Performance Computing Job Dataset for the Analysis of Linear Solvers' Power Consumption.
Future Internet
Marcello Artioli, Andrea Borghesi, Marta Chinnici, Anna Ciampolini, Michele Colonna, Davide De Chiara, Daniela Loreti
2025 C conf
Duration-Informed Workload Scheduler.
ISC
Daniela Loreti, Davide Leone, Andrea Borghesi
2025 J jnl
Machine learning approaches to predict the execution time of the meteorological simulation software COSMO.
J. Intell. Inf. Syst.
Allegra De Filippo, Emanuele Di Giacomo, Andrea Borghesi
2025 C conf
UoPC: A User-Based Online Framework to Predict Job Power Consumption in HPC Systems.
ISC
Francesco Antici, Andrea Borghesi, Jens Domke, Zeynep Kiziltan
2024 — conf
Benchmarking in Neuro-Symbolic AI.
IJCLR
Robin Manhaeve, Francesco Giannini, Mehdi Ali, Damiano Azzolini, Alice Bizzarri, Andrea Borghesi, Samuele Bortolotti, Luc De Raedt, Devendra Singh Dhami, Michelangelo Diligenti, Sebastijan Dumancic, Boi Faltings, Elisabetta Gentili, Alfonso Gerevini, Marco Gori, Tias Guns, Martin Homola, Kristian Kersting, Jens Lehmann, Michele Lombardi, Luca Salvatore Lorello, Emanuele Marconato, Stefano Melacci, Andrea Passerini, Debjit Paul, Fabrizio Riguzzi, Stefano Teso, Neil Yorke-Smith, Marco Lippi
2024 — conf
Expert-MusiComb: Injective Domain Knowledge in a Neuro-Symbolic Approach for Music Generation.
CREAI@ECAI
Lorenzo Tribuiani, Luca Giuliani, Allegra De Filippo, Andrea Borghesi
2024 J jnl
GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems.
Future Gener. Comput. Syst.
Martin Molan, Mohsen Seyedkazemi Ardebili, Junaid Ahmed Khan, Francesco Beneventi, Daniele Cesarini, Andrea Borghesi, Andrea Bartolini
2024 J jnl
Harnessing federated learning for anomaly detection in supercomputer nodes.
Future Gener. Comput. Syst.
Emmen Farooq, Michela Milano, Andrea Borghesi
2024 B conf
LSTM-Based Unsupervised Anomaly Detection in High-Performance Computing: A Federated Learning Approach.
IEEE Big Data
Emmen Farooq, Andrea Borghesi
2024 C conf
Unveiling Computer Chess Evolution: Can Machine Learning Detect Historical Trends?
ICEC
Andrea Borghesi, Paolo Ciancarini, Angelo Di Iorio, Gianluca Moro
2023 B conf
A Federated Learning Approach for Anomaly Detection in High Performance Computing.
ICTAI
Emmen Farooq, Andrea Borghesi
2023 J jnl
Design of an energy aware petaflops class high performance cluster based on power architecture.
CoRR
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
2023 J jnl
ExaMon-X: A Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems.
IEEE Internet Things J.
Andrea Borghesi, Alessio Burrello, Andrea Bartolini
2023 — conf
Graph Neural Networks for Anomaly Anticipation in HPC Systems.
ICPE (Companion)
Martin Molan, Junaid Ahmed Khan, Andrea Borghesi, Andrea Bartolini
2023 J jnl
Model for Quantitative Estimation of Functionality Influence on the Final Value of a Software Product.
IEEE Access
Gregor Molan, Gregor Dolinar, Jovan Bojkovski, Radu Prodan, Andrea Borghesi, Martin Molan
2023 B conf
MusiComb: a Sample-based Approach to Music Generation Through Constraints.
ICTAI
Luca Giuliani, Francesco Ballerini, Allegra De Filippo, Andrea Borghesi
2023 — conf
Online Job Failure Prediction in an HPC System.
Euro-Par Workshops
Francesco Antici, Andrea Borghesi, Zeynep Kiziltan
2023 J jnl
Online Job Failure Prediction in an HPC System.
CoRR
Francesco Antici, Andrea Borghesi, Zeynep Kiziltan
2023 J jnl
RUAD: Unsupervised anomaly detection in HPC systems.
Future Gener. Comput. Syst.
Martin Molan, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini
2023 Misc conf
TinderAI: Support System for Matching AI Algorithms and Embedded Devices.
FLAIRS
Matteo Francobaldi, Allegra De Filippo, Andrea Borghesi, Nikola Pizurica, Igor Jovancevic, Tim Llewellynn, Miguel de Prado
2023 — conf
Towards Intelligent Music Production: A Sample-based Approach.
CREAI@AI*IA
Luca Giuliani, Allegra De Filippo, Andrea Borghesi
2023 A* conf
Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations.
IJCAI
Allegra De Filippo, Luca Giuliani, Eleonora Mancini, Andrea Borghesi, Paola Mello, Michela Milano
2022 — conf
A Multi-modal Perspective for the Artistic Evaluation of Robotic Dance Performances.
CREAI@AI*IA
Luca Giuliani, Allegra De Filippo, Andrea Borghesi, Paola Mello, Michela Milano
2022 — conf
Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models.
Euro-Par
Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini
2022 J jnl
Anomaly Detection and Anticipation in High Performance Computing Systems.
IEEE Trans. Parallel Distributed Syst.
Andrea Borghesi, Martin Molan, Michela Milano, Andrea Bartolini
2022 — conf
Constrained Hardware Dimensioning for AI Algorithms.
PAIS@ECAI
Allegra De Filippo, Andrea Borghesi
2022 J jnl
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
Andrea Borghesi, Diego Di Salvo, Pietro Ciolli, Teresa Falcone, Marco Ravanelli, Davide Farina, Nicola Carapella
2022 J jnl
HADA: An automated tool for hardware dimensioning of AI applications.
Knowl. Based Syst.
Allegra De Filippo, Andrea Borghesi, Andrea Boscarino, Michela Milano
2022 — conf
Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection.
Euro-Par Workshops
Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini
2022 J jnl
Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens.
CoRR
Stefano Teso, Laurens Bliek, Andrea Borghesi, Michele Lombardi, Neil Yorke-Smith, Tias Guns, Andrea Passerini
2022 — conf
Predictive Maintenance Based on Machine Learning Model.
AIAI (2)
Bassem Hichri, Anass Driate, Andrea Borghesi, Francesco Giovannini
2022 J jnl
RUAD: unsupervised anomaly detection in HPC systems.
CoRR
Martin Molan, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini
2022 — conf
Semi-supervised anomaly detection on a Tier-0 HPC system.
CF
Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini
2021 — conf
An Explainable Model for Fault Detection in HPC Systems.
ISC Workshops
Martin Molan, Andrea Borghesi, Francesco Beneventi, Massimiliano Guarrasi, Andrea Bartolini
2021 J jnl
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset.
Medical Image Anal.
Alberto Signoroni, Mattia Savardi, Sergio Benini, Nicola Adami, Riccardo Leonardi, Paolo Gibellini, Filippo Vaccher, Marco Ravanelli, Andrea Borghesi, Roberto Maroldi, Davide Farina
2021 J jnl
Deep Learning for Virus-Spreading Forecasting: a Brief Survey.
CoRR
Federico Baldo, Lorenzo Dall'olio, Mattia Ceccarelli, Riccardo Scheda, Michele Lombardi, Andrea Borghesi, Stefano Diciotti, Michela Milano
2021 B conf
IoTwins: Design and Implementation of a Platform for the Management of Digital Twins in Industrial Scenarios.
CCGRID
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
2020 J jnl
A Machine Learning Approach to Online Fault Classification in HPC Systems.
CoRR
Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
2020 J jnl
A machine learning approach to online fault classification in HPC systems.
Future Gener. Comput. Syst.
Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
2020 — conf
An Analysis of Regularized Approaches for Constrained Machine Learning.
TAILOR
Michele Lombardi, Federico Baldo, Andrea Borghesi, Michela Milano
2020 J jnl
An Analysis of Regularized Approaches for Constrained Machine Learning.
CoRR
Michele Lombardi, Federico Baldo, Andrea Borghesi, Michela Milano
2020 J jnl
Combining Learning and Optimization for Transprecision Computing.
CoRR
Andrea Borghesi, Giuseppe Tagliavini, Michele Lombardi, Luca Benini, Michela Milano
2020 — conf
Combining learning and optimization for transprecision computing.
CF
Andrea Borghesi, Giuseppe Tagliavini, Michele Lombardi, Luca Benini, Michela Milano
2020 J jnl
Countdown Slack: A Run-Time Library to Reduce Energy Footprint in Large-Scale MPI Applications.
IEEE Trans. Parallel Distributed Syst.
Daniele Cesarini, Andrea Bartolini, Andrea Borghesi, Carlo Cavazzoni, Mathieu Luisier, Luca Benini
2020 J jnl
End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays.
CoRR
Alberto Signoroni, Mattia Savardi, Sergio Benini, Nicola Adami, Riccardo Leonardi, Paolo Gibellini, Filippo Vaccher, Marco Ravanelli, Andrea Borghesi, Roberto Maroldi, Davide Farina
2020 J jnl
Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey.
CoRR
Andrea Borghesi, Federico Baldo, Michela Milano
2020 — conf
Injective Domain Knowledge in Neural Networks for Transprecision Computing.
LOD (1)
Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano
2020 J jnl
Injective Domain Knowledge in Neural Networks for Transprecision Computing.
CoRR
Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano
2019 J jnl
A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems.
Eng. Appl. Artif. Intell.
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
2019 A* conf
Anomaly Detection Using Autoencoders in High Performance Computing Systems.
AAAI
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
2019 — conf
Anomaly Detection using Autoencoders in High Performance Computing Systems.
DDC@AI*IA
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
2019 J jnl
COUNTDOWN Slack: a Run-time Library to Reduce Energy Footprint in Large-scale MPI Applications.
CoRR
Daniele Cesarini, Andrea Bartolini, Andrea Borghesi, Carlo Cavazzoni, Mathieu Luisier, Luca Benini
2019 — conf
Frequency Assignment in High Performance Computing Systems.
AI*IA
Andrea Borghesi, Michela Milano, Luca Benini
2019 — conf
Online Anomaly Detection in HPC Systems.
AICAS
Andrea Borghesi, Antonio Libri, Luca Benini, Andrea Bartolini
2019 J jnl
Online Anomaly Detection in HPC Systems.
CoRR
Andrea Borghesi, Antonio Libri, Luca Benini, Andrea Bartolini
2019 — conf
Online Fault Classification in HPC Systems Through Machine Learning.
Euro-Par
Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
2019 — conf
Paving the Way Toward Energy-Aware and Automated Datacentre.
ICPP Workshops
Andrea Bartolini, Francesco Beneventi, Andrea Borghesi, Daniele Cesarini, Antonio Libri, Luca Benini, Carlo Cavazzoni
2019 J jnl
Pricing schemes for energy-efficient HPC systems: Design and exploration.
Int. J. High Perform. Comput. Appl.
Andrea Borghesi, Andrea Bartolini, Michela Milano, Luca Benini
2018 J jnl
Anomaly Detection using Autoencoders in High Performance Computing Systems.
CoRR
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
2018 — conf
Energy and Power Aware Job Scheduling and Resource Management: Global Survey - Initial Analysis.
IPDPS Workshops
Matthias Maiterth, Gregory A. Koenig, Kevin T. Pedretti, Siddhartha Jana, Natalie J. Bates, Andrea Borghesi, Dave Montoya, Andrea Bartolini, Milos Puzovic
2018 — conf
FINJ: A Fault Injection Tool for HPC Systems.
Euro-Par Workshops
Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
2018 J jnl
FINJ: A Fault Injection Tool for HPC Systems.
CoRR
Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
2018 J jnl
Online Fault Classification in HPC Systems through Machine Learning.
CoRR
Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
2018 J jnl
Pricing Schemes for Energy-Efficient HPC Systems: Design and Exploration.
CoRR
Andrea Borghesi, Andrea Bartolini, Michela Milano, Luca Benini
2018 J jnl
Scheduling-based power capping in high performance computing systems.
Sustain. Comput. Informatics Syst.
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
2018 — conf
The D.A.V.I.D.E. big-data-powered fine-grain power and performance monitoring support.
CF
Andrea Bartolini, Andrea Borghesi, Antonio Libri, Francesco Beneventi, Daniele Gregori, Simone Tinti, Cosimo Gianfreda, Piero Altoe
2017 — conf
Data-Driven Job Dispatching in HPC Systems.
MOD
Cristian Galleguillos, Alina Sîrbu, Zeynep Kiziltan, Özalp Babaoglu, Andrea Borghesi, Thomas Bridi
2017 — conf
Design of an Energy Aware Petaflops Class High Performance Cluster Based on Power Architecture.
IPDPS Workshops
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
2017 — —
Power-Aware Job Dispatching in High Performance Computing Systems.
Andrea Borghesi
2016 C conf
Predictive Modeling for Job Power Consumption in HPC Systems.
ISC
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
2015 — conf
Agent Based Simulation of Incentive Mechanisms on Photovoltaic Adoption.
AI*IA
Valerio Iachini, Andrea Borghesi, Michela Milano
2015 — conf
MS3: A Mediterranean-stile job scheduler for supercomputers - do less when it's too hot!
HPCS
Andrea Borghesi, Christian Conficoni, Michele Lombardi, Andrea Bartolini
2015 A conf
Power Capping in High Performance Computing Systems.
CP
Andrea Borghesi, Francesca Collina, Michele Lombardi, Michela Milano, Luca Benini
2014 A conf
Proactive Workload Dispatching on the EURORA Supercomputer.
CP
Andrea Bartolini, Andrea Borghesi, Thomas Bridi, Michele Lombardi, Michela Milano
2013 C conf
Simulation Of Incentive Mechanisms For Renewable Energy Policies.
ECMS
Andrea Borghesi, Michela Milano, Marco Gavanelli, Tony Woods