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2020 – today
- 2024
[j4]Martin Molan
, Mohsen Seyedkazemi Ardebili, Junaid Ahmed Khan, Francesco Beneventi, Daniele Cesarini, Andrea Borghesi, Andrea Bartolini:
GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems. Future Gener. Comput. Syst. 160: 644-653 (2024)- [c10]Grafika Jati, Martin Molan, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva:
TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle. CF 2024 - [c9]Bruno Guindani, Martin Molan, Andrea Bartolini, Luca Benini:
Exploring the Utility of Graph Methods in HPC Thermal Modeling. ICPE (Companion) 2024: 106-111 - [c8]Grafika Jati, Martin Molan, Junaid Ahmed Khan, Francesco Barchi, Andrea Bartolini, Giuseppe Mercurio, Andrea Acquaviva:
AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks. ICPE (Companion) 2024: 112-119 - [c7]Junaid Ahmed Khan, Martin Molan, Matteo Angelinelli, Andrea Bartolini:
ExaQuery: Proving Data Structure to Unstructured Telemetry Data in Large-Scale HPC. ICPE (Companion) 2024: 127-134 - 2023
- [j3]Gregor Molan, Gregor Dolinar, Jovan Bojkovski, Radu Prodan, Andrea Borghesi, Martin Molan:
Model for Quantitative Estimation of Functionality Influence on the Final Value of a Software Product. IEEE Access 11: 115599-115616 (2023) - [j2]Martin Molan, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini:
RUAD: Unsupervised anomaly detection in HPC systems. Future Gener. Comput. Syst. 141: 542-554 (2023) - [c6]Martin Molan, Junaid Ahmed Khan, Andrea Bartolini, Roberta Turra, Giorgio Pedrazzi, Michael Cochez, Alexandru Iosup, Dumitru Roman, Joze M. Rozanec, Ana Lucia Varbanescu, Radu Prodan:
The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin. COMPSAC 2023: 1459-1464 - [c5]Martin Molan, Junaid Ahmed Khan, Andrea Borghesi, Andrea Bartolini:
Graph Neural Networks for Anomaly Anticipation in HPC Systems. ICPE (Companion) 2023: 239-244 - [d13]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset: time-aggregated data for anomaly detection. Zenodo, 2023
- [d12]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 1: from 20-03 to 20-12. Zenodo, 2023 - [d11]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 2: from 21-01 to 21-06. Zenodo, 2023 - [d10]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 3: from 21-07 to 21-09. Zenodo, 2023 - [d9]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 4: from 21-10 to 21-12. Zenodo, 2023 - [d8]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 5: from 22-01 to 22-02. Zenodo, 2023 - [d7]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 6: 22-03. Zenodo, 2023 - [d6]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 7: 22-04. Zenodo, 2023 - [d5]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 8: 22-05. Zenodo, 2023 - [d4]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 9: 22-06. Zenodo, 2023 - [d3]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 10: 22-07. Zenodo, 2023 - [d2]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 11: 22-08. Zenodo, 2023 - [d1]Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini:
M100 dataset 12: 22-09. Zenodo, 2023 - 2022
- [j1]Andrea Borghesi, Martin Molan, Michela Milano, Andrea Bartolini:
Anomaly Detection and Anticipation in High Performance Computing Systems. IEEE Trans. Parallel Distributed Syst. 33(4): 739-750 (2022) - [c4]Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini:
Semi-supervised anomaly detection on a Tier-0 HPC system. CF 2022: 203-204 - [c3]Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini:
Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models. Euro-Par 2022: 171-185 - [c2]Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini:
Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection. Euro-Par Workshops 2022: 294-298 - [i1]Martin Molan, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini:
RUAD: unsupervised anomaly detection in HPC systems. CoRR abs/2208.13169 (2022) - 2021
- [c1]Martin Molan, Andrea Borghesi, Francesco Beneventi, Massimiliano Guarrasi, Andrea Bartolini:
An Explainable Model for Fault Detection in HPC Systems. ISC Workshops 2021: 378-391
Coauthor Index
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last updated on 2024-10-31 20:14 CET by the dblp team
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