BORGHESI, ANDREA
BORGHESI, ANDREA
DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
Ricercatori a tempo determinato
Generation of Clinical Skin Images with Pathology with Scarce Data
2024 Andrea Borghesi, Roberta Calegari
GRAAFE: GRaph anomaly anticipation framework for exascale HPC systems
2024 Molan M.; Mohsen Seyedkazemi Ardebili; Khan J.A.; Beneventi F.; Cesarini D.; Borghesi A.; Bartolini A.
Harnessing federated learning for anomaly detection in supercomputer nodes
2024 Farooq, Emmen; Milano, Michela; Borghesi, Andrea
Machine learning approaches to predict the execution time of the meteorological simulation software COSMO
2024 De Filippo A.; Di Giacomo E.; Borghesi A.
A Federated Learning Approach for Anomaly Detection in High Performance Computing
2023 Farooq, Emmen; Borghesi, Andrea
ExaMon-X: a Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems
2023 Borghesi, Andrea; Burrello, Alessio; Bartolini, Andrea
Graph Neural Networks for Anomaly Anticipation in HPC Systems
2023 Molan M.; Ahmed Khan J.; Borghesi A.; Bartolini A.
M100 ExaData: a data collection campaign on the CINECA's Marconi100 Tier-0 supercomputer
2023 Borghesi, Andrea; Di Santi, Carmine; Molan, Martin; Ardebili, Mohsen Seyedkazemi; Mauri, Alessio; Guarrasi, Massimiliano; Galetti, Daniela; Cestari, Mirko; Barchi, Francesco; Benini, Luca; Beneventi, Francesco; Bartolini, Andrea
Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection
2023 Molan M.; Borghesi A.; Benini L.; Bartolini A.
Model for Quantitative Estimation of Functionality Influence on the Final Value of a Software Product
2023 Molan, G; Dolinar, G; Bojkovski, J; Prodan, R; Borghesi, A; Molan, M
MusiComb: a Sample-based Approach to Music Generation Through Constraints
2023 Giuliani, Luca; Ballerini, Francesco; De Filippo, Allegra; Borghesi, Andrea
RUAD: Unsupervised anomaly detection in HPC systems
2023 Molan M.; Borghesi A.; Cesarini D.; Benini L.; Bartolini A.
The 1st International Workshop on the Environmental Sustainability of High-Performance Software (SHiPS)
2023 Loreti D.; Borghesi 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.
Towards Intelligent Music Production: A Sample-based Approach
2023 Giuliani L.; De Filippo A.; Borghesi A.
Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations
2023 De Filippo, Allegra; Giuliani, Luca; Mancini, Eleonora; Borghesi, Andrea; Mello, Paola; Milano, Michela
A Multi-modal Perspective for the Artistic Evaluation of Robotic Dance Performances
2022 Luca Giuliani, Allegra De Filippo, Andrea Borghesi, Paola Mello, Michela Milano
Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models
2022 Molan, M; Borghesi, A; Benini, L; Bartolini, A
Anomaly Detection and Anticipation in High Performance Computing Systems
2022 Borghesi A.; Molan M.; Milano M.; Bartolini A.
Constrained Hardware Dimensioning for AI Algorithms
2022 De Filippo A.; Borghesi A.
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| Generation of Clinical Skin Images with Pathology with Scarce Data | Andrea Borghesi, Roberta Calegari | 2024-01-01 | - | - | 4.01 Contributo in Atti di convegno | preEditoriale.pdf |
| GRAAFE: GRaph anomaly anticipation framework for exascale HPC systems | Molan M.; Mohsen Seyedkazemi Ardebili; Khan J.A.; Beneventi F.; Cesarini D.; Borghesi A.; Bartoli...ni A. | 2024-01-01 | FUTURE GENERATION COMPUTER SYSTEMS | - | 1.01 Articolo in rivista | GRAAFE.pdf |
| Harnessing federated learning for anomaly detection in supercomputer nodes | Farooq, Emmen; Milano, Michela; Borghesi, Andrea | 2024-01-01 | FUTURE GENERATION COMPUTER SYSTEMS | - | 1.01 Articolo in rivista | - |
| Machine learning approaches to predict the execution time of the meteorological simulation software COSMO | De Filippo A.; Di Giacomo E.; Borghesi A. | 2024-01-01 | JOURNAL OF INTELLIGENT INFORMATION SYSTEMS | - | 1.01 Articolo in rivista | - |
| 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 |
| ExaMon-X: a Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems | Borghesi, Andrea; Burrello, Alessio; Bartolini, Andrea | 2023-01-01 | IEEE INTERNET OF THINGS JOURNAL | - | 1.01 Articolo in rivista | postPrintVersion_plus_editorialReference.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 | - |
| M100 ExaData: a data collection campaign on the CINECA's Marconi100 Tier-0 supercomputer | Borghesi, Andrea; Di Santi, Carmine; Molan, Martin; Ardebili, Mohsen Seyedkazemi; Mauri, Alessio;... Guarrasi, Massimiliano; Galetti, Daniela; Cestari, Mirko; Barchi, Francesco; Benini, Luca; Beneventi, Francesco; Bartolini, Andrea | 2023-01-01 | SCIENTIFIC DATA | - | 1.01 Articolo in rivista | versione_editoriale.pdf |
| Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection | Molan M.; Borghesi A.; Benini L.; Bartolini A. | 2023-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | EUROPAR_phd_symposium_preEditoriale-1.pdf |
| Model for Quantitative Estimation of Functionality Influence on the Final Value of a Software Product | Molan, G; Dolinar, G; Bojkovski, J; Prodan, R; Borghesi, A; Molan, M | 2023-01-01 | IEEE ACCESS | - | 1.01 Articolo in rivista | IEEE_Access_MOQE.pdf |
| MusiComb: a Sample-based Approach to Music Generation Through Constraints | Giuliani, Luca; Ballerini, Francesco; De Filippo, Allegra; Borghesi, Andrea | 2023-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | camReady_preEditoriale.pdf |
| RUAD: Unsupervised anomaly detection in HPC systems | Molan M.; Borghesi A.; Cesarini D.; Benini L.; Bartolini A. | 2023-01-01 | FUTURE GENERATION COMPUTER SYSTEMS | - | 1.01 Articolo in rivista | Towards_unsupervised_anomaly_detection_in_HPC_preEditorial.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 | - |
| 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 |
| Towards Intelligent Music Production: A Sample-based Approach | Giuliani L.; De Filippo A.; Borghesi A. | 2023-01-01 | - | CEUR-WS | 4.01 Contributo in Atti di convegno | paper5.pdf |
| Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations | De Filippo, Allegra; Giuliani, Luca; Mancini, Eleonora; Borghesi, Andrea; Mello, Paola; Milano, M...ichela | 2023-01-01 | - | ijcai | 4.01 Contributo in Atti di convegno | 0644.pdf |
| 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 | - |
| 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 |
| 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 |
| 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 |