Martin Molan

19 papers B 1Journal 7Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
EXASAGE: The first data center operational data analysis assistant.
Future Gener. Comput. Syst.
Junaid Ahmed Khan, Martin Molan, Andrea Bartolini
2025 J jnl
ANZIL: Attention-based network for zero-risk inspection of LiDAR point cloud in self-driving cars.
Expert Syst. Appl.
Grafika Jati, Martin Molan, Francesco Barchi, Andrea Bartolini, Giuseppe Mercurio, Andrea Acquaviva
2025 — conf
Learning anomalies from graph: predicting compute node failures on HPC clusters.
NLDL
Joze M. Rozanec, Roy Krumpak, Martin Molan, Andrea Bartolini
2024 — conf
AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks.
ICPE (Companion)
Grafika Jati, Martin Molan, Junaid Ahmed Khan, Francesco Barchi, Andrea Bartolini, Giuseppe Mercurio, Andrea Acquaviva
2024 — conf
ExaQuery: Proving Data Structure to Unstructured Telemetry Data in Large-Scale HPC.
ICPE (Companion)
Junaid Ahmed Khan, Martin Molan, Matteo Angelinelli, Andrea Bartolini
2024 — conf
Exploring the Utility of Graph Methods in HPC Thermal Modeling.
ICPE (Companion)
Bruno Guindani, Martin Molan, Andrea Bartolini, Luca Benini
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 — conf
Predicting Compute Node Unavailability in HPC: A Graph-Based Machine Learning Approach.
SC Workshops
Roy Krumpak, Joze M. Rozanec, Martin Molan, Matteo Angelinelli, Andrea Bartolini
2024 — conf
TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle.
CF
Grafika Jati, Martin Molan, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva
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 J jnl
RUAD: Unsupervised anomaly detection in HPC systems.
Future Gener. Comput. Syst.
Martin Molan, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini
2023 B conf
The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin.
COMPSAC
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
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
Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection.
Euro-Par Workshops
Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini
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