Követés
Dimosthenis Pasadakis
Dimosthenis Pasadakis
Postdoctoral fellow, Università della Svizzera italiana
E-mail megerősítve itt: usi.ch - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Multiway p-spectral graph cuts on Grassmann manifolds
D Pasadakis, CL Alappat, O Schenk, G Wellein
Machine learning, 1-39, 2022
142022
Block-enhanced precision matrix estimation for large-scale datasets
A Eftekhari, D Pasadakis, M Bollhöfer, S Scheidegger, O Schenk
Journal of computational science 53, 101389, 2021
122021
Balanced graph partition refinement using the graph p-Laplacian
T Simpson, D Pasadakis, D Kourounis, K Fujita, T Yamaguchi, T Ichimura, ...
Proceedings of the platform for advanced scientific computing conference, 1-11, 2018
62018
Sparse Quadratic Approximation for Graph Learning
D Pasadakis, M Bollhöfer, O Schenk
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (9), 11256 …, 2023
52023
A Novel Chemometric Approach for Oil & Source Rock Clustering
VI Makri, D Pasadakis, N Pasadakis
IMOG 2023 2023 (1), 1-2, 2023
22023
Large-scale precision matrix estimation with SQUIC
A Eftekhari, L Gaedke-Merzhaeuser, D Pasadakis, M Bollhoefer, ...
Available at SSRN 3904001, 2022
12022
K-way p-spectral clustering on Grassmann manifolds.
D Pasadakis, CL Alappat, O Schenk, G Wellein
CoRR, 2020
12020
Nonlinear Modified PageRank Problem for Local Graph Partitioning
C Kodsi, D Pasadakis
arXiv preprint arXiv:2409.01834, 2024
2024
GAMLNet: a graph based framework for the detection of money laundering
J Schmidt, D Pasadakis, M Sathe, O Schenk
2024 11th IEEE Swiss Conference on Data Science (SDS), 241-245, 2024
2024
Algorithm XXX: Sparse Precision Matrix Estimation With SQUIC
A Eftekhari, L Gaedke-Merzhäuser, D Pasadakis, M Bollhöfer, ...
ACM Transactions on Mathematical Software, 2024
2024
Learning and clustering graphs from high dimensional data
D Pasadakis
2023
The Clustering of Source Rocks: A Spectral Approach
VI Makri, D Pasadakis
international conference on Mediterranean Geosciences Union, 321-325, 2022
2022
Nonlinear spectral clustering with C++ GraphBLAS
D Pasadakis, O Schenk, V Vlacic, AJ Yzelman
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Cikkek 1–13