MOLAN, MARTIN
MOLAN, MARTIN
DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI"
Dottorandi
AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks
2024 Jati, Grafika; Molan, Martin; Khan, Junaid Ahmed; Barchi, Francesco; Bartolini, Andrea; Mercurio, Giuseppe; Acquaviva, Andrea
TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle
2024 Grafika Jati, Martin Molan, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva
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
RUAD: Unsupervised anomaly detection in HPC systems
2023 Molan M.; Borghesi A.; Cesarini D.; Benini L.; Bartolini A.
The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin
2023 Molan M.; Khan J.A.; Bartolini A.; Turra R.; Pedrazzi G.; Cochez M.; Iosup A.; Roman D.; Rozanec J.; Varbanescu A.L.; Prodan R.
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.
Semi-supervised anomaly detection on a Tier-0 HPC system
2022 Molan M.; Borghesi A.; Benini L.; Bartolini A.
An Explainable Model for Fault Detection in HPC Systems
2021 Molan M.; Borghesi A.; Beneventi F.; Guarrasi M.; Bartolini A.
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks | Jati, Grafika; Molan, Martin; Khan, Junaid Ahmed; Barchi, Francesco; Bartolini, Andrea; Mercurio..., Giuseppe; Acquaviva, Andrea | 2024-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle | Grafika Jati, Martin Molan, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva | 2024-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| 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 |
| 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 Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin | Molan M.; Khan J.A.; Bartolini A.; Turra R.; Pedrazzi G.; Cochez M.; Iosup A.; Roman D.; Rozanec ...J.; Varbanescu A.L.; Prodan R. | 2023-01-01 | - | IEEE Computer Society | 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 |
| 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 | - |
| 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 |