Sfoglia per Autore
Anomaly Detection Using Autoencoders in High Performance Computing Systems
2019 Borghesi, Andrea; Bartolini, Andrea; Lombardi, Michele; Milano, Michela; Benini, Luca
Online Anomaly Detection in HPC Systems
2019 Borghesi A.; Libri A.; Benini L.; Bartolini A.
Combining learning and optimization for transprecision computing
2020 Borghesi, Andrea; Tagliavini, Giuseppe; Lombardi, Michele; Benini, Luca; Milano, Michela
Injective Domain Knowledge in Neural Networks for Transprecision Computing
2020 Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano
Countdown Slack: A Run-Time Library to Reduce Energy Footprint in Large-Scale MPI Applications
2020 Cesarini, Daniele; Bartolini, Andrea; Borghesi, Andrea; Cavazzoni, Carlo; Luisier, Mathieu; Benini, Luca
A machine learning approach to online fault classification in HPC systems
2020 Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
IoTwins: Design and implementation of a platform for the management of digital twins in industrial scenarios
2021 Borghesi A.; Di Modica G.; Bellavista P.; Gowtham V.; Willner A.; Nehls D.; Kintzler F.; Cejka S.; Tisbeni S.R.; Costantini A.; Galletti M.; Antonacci M.; Ahouangonou J.C.
An Analysis of Regularized Approaches for Constrained Machine Learning
2021 Lombardi, Michele; Baldo, Federico; Borghesi, Andrea; Milano, Michela
An Explainable Model for Fault Detection in HPC Systems
2021 Molan M.; Borghesi A.; Beneventi F.; Guarrasi M.; Bartolini A.
Semi-supervised anomaly detection on a Tier-0 HPC system
2022 Molan M.; Borghesi A.; Benini L.; Bartolini A.
A Multi-modal Perspective for the Artistic Evaluation of Robotic Dance Performances
2022 Luca Giuliani, Allegra De Filippo, Andrea Borghesi, Paola Mello, Michela Milano
Constrained Hardware Dimensioning for AI Algorithms
2022 De Filippo A.; Borghesi A.
Anomaly Detection and Anticipation in High Performance Computing Systems
2022 Borghesi A.; Molan M.; Milano M.; Bartolini A.
Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models
2022 Molan, M; Borghesi, A; Benini, L; Bartolini, A
HADA: An automated tool for hardware dimensioning of AI applications
2022 De Filippo, A; Borghesi, A; Boscarino, A; Milano, M
Predictive Maintenance Based on Machine Learning Model
2022 Hichri B.; Driate A.; Borghesi A.; Giovannini F.
The 1st International Workshop on the Environmental Sustainability of High-Performance Software (SHiPS)
2023 Loreti D.; Borghesi A.
A Federated Learning Approach for Anomaly Detection in High Performance Computing
2023 Farooq, Emmen; Borghesi, Andrea
Graph Neural Networks for Anomaly Anticipation in HPC Systems
2023 Molan M.; Ahmed Khan J.; Borghesi A.; Bartolini A.
TinderAI: Support System for Matching AI Algorithms and Embedded Devices
2023 Francobaldi M.; De Filippo A.; Borghesi A.; Pizurica N.; Jovancevi I.; Llewellynn T.; de Prado M.
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| Anomaly Detection Using Autoencoders in High Performance Computing Systems | Borghesi, Andrea; Bartolini, Andrea; Lombardi, Michele; Milano, Michela; Benini, Luca | 2019-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Online Anomaly Detection in HPC Systems | Borghesi A.; Libri A.; Benini L.; Bartolini A. | 2019-01-01 | - | - | 4.01 Contributo in Atti di convegno | AICAS_anomalyDetection_online_BBB.pdf |
| Combining learning and optimization for transprecision computing | Borghesi, Andrea; Tagliavini, Giuseppe; Lombardi, Michele; Benini, Luca; Milano, Michela | 2020-01-01 | - | - | 4.01 Contributo in Atti di convegno | Combining Learning and Optimization for Transprecision.pdf |
| Injective Domain Knowledge in Neural Networks for Transprecision Computing | Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano | 2020-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | main.pdf |
| Countdown Slack: A Run-Time Library to Reduce Energy Footprint in Large-Scale MPI Applications | Cesarini, Daniele; Bartolini, Andrea; Borghesi, Andrea; Cavazzoni, Carlo; Luisier, Mathieu; Benin...i, Luca | 2020-01-01 | IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS | - | 1.01 Articolo in rivista | TPDS_2019_CR.pdf |
| A machine learning approach to online fault classification in HPC systems | Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi | 2020-01-01 | FUTURE GENERATION COMPUTER SYSTEMS | - | 1.01 Articolo in rivista | main.pdf |
| IoTwins: Design and implementation of a platform for the management of digital twins in industrial scenarios | Borghesi A.; Di Modica G.; Bellavista P.; Gowtham V.; Willner A.; Nehls D.; Kintzler F.; Cejka S....; Tisbeni S.R.; Costantini A.; Galletti M.; Antonacci M.; Ahouangonou J.C. | 2021-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | IoTwins_digitalTwins.pdf |
| An Analysis of Regularized Approaches for Constrained Machine Learning | Lombardi, Michele; Baldo, Federico; Borghesi, Andrea; Milano, Michela | 2021-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | tailor2020_paper58_camReady.pdf |
| An Explainable Model for Fault Detection in HPC Systems | Molan M.; Borghesi A.; Beneventi F.; Guarrasi M.; Bartolini A. | 2021-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | molan_MODA2021.pdf |
| Semi-supervised anomaly detection on a Tier-0 HPC system | Molan M.; Borghesi A.; Benini L.; Bartolini A. | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| A Multi-modal Perspective for the Artistic Evaluation of Robotic Dance Performances | Luca Giuliani, Allegra De Filippo, Andrea Borghesi, Paola Mello, Michela Milano | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Constrained Hardware Dimensioning for AI Algorithms | De Filippo A.; Borghesi A. | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | FAIA-351-FAIA220072 (1).pdf |
| Anomaly Detection and Anticipation in High Performance Computing Systems | Borghesi A.; Molan M.; Milano M.; Bartolini A. | 2022-01-01 | IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS | - | 1.01 Articolo in rivista | TPDS_SI_Exascale_AnomalyAnticipation_REV.pdf |
| Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models | Molan, M; Borghesi, A; Benini, L; Bartolini, A | 2022-01-01 | - | SPRINGER INTERNATIONAL PUBLISHING AG | 4.01 Contributo in Atti di convegno | postPrint_Analysing_Supercomputer_Nodes_Behaviour_with_the_Latent_Representation_of_Deep_Learning_Models.pdf |
| HADA: An automated tool for hardware dimensioning of AI applications | De Filippo, A; Borghesi, A; Boscarino, A; Milano, M | 2022-01-01 | KNOWLEDGE-BASED SYSTEMS | - | 1.01 Articolo in rivista | HADA: an Automated Tool for Hardware Dimensioning of AI Applications.pdf |
| Predictive Maintenance Based on Machine Learning Model | Hichri B.; Driate A.; Borghesi A.; Giovannini F. | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | AIAI_conference_paper.pdf |
| The 1st International Workshop on the Environmental Sustainability of High-Performance Software (SHiPS) | Loreti D.; Borghesi A. | 2023-01-01 | - | - | 8.02 Ruolo editoriale in collana | - |
| A Federated Learning Approach for Anomaly Detection in High Performance Computing | Farooq, Emmen; Borghesi, Andrea | 2023-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | FL_for_HPC_2.pdf |
| Graph Neural Networks for Anomaly Anticipation in HPC Systems | Molan M.; Ahmed Khan J.; Borghesi A.; Bartolini A. | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| TinderAI: Support System for Matching AI Algorithms and Embedded Devices | Francobaldi M.; De Filippo A.; Borghesi A.; Pizurica N.; Jovancevi I.; Llewellynn T.; de Prado M. | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | Automated_Vertical_Matchmaking_of_AI_Algorithms_and_HW_Platforms_final.pdf |
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