Dimosthenis Pasadakis

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	Všetky	Od 2020
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i10-index	2	2

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Na základe mandátov na financovanie

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Olaf SchenkProfessor, Institute of Computing, Universita della Svizzera italiana, SIAM FellowOverená e-mailová adresa na: usi.ch
Matthias BollhöferProfessor for Numerical Analysis, TU BraunschweigOverená e-mailová adresa na: tu-bs.de
Aryan EftekhariUniversity of LausanneOverená e-mailová adresa na: unil.ch
Simon ScheideggerDepartment of Economics, Faculty of Business and Economics (HEC Lausanne), University of LausanneOverená e-mailová adresa na: unil.ch
Christie Louis AlappatFriedrich Alexander University, Erlangen-NurembergOverená e-mailová adresa na: fau.de
Gerhard WelleinFriedrich-Alexander-Universität Erlangen-NürnbergOverená e-mailová adresa na: fau.de
Kohei FujitaAssociate Professor at Earthquake Research Institute, The University of TokyoOverená e-mailová adresa na: eri.u-tokyo.ac.jp
Takuma YAMAGUCHIThe University of TokyoOverená e-mailová adresa na: eri.u-tokyo.ac.jp
Drosos KourounisUSI - Università della Svizzera italianaOverená e-mailová adresa na: usi.ch

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Dimosthenis Pasadakis

Postdoctoral fellow, Università della Svizzera italiana

Overená e-mailová adresa na: usi.ch - Domovská stránka

graph algorithms machine learning optimization


Názov Zoradiť podľa citácií Zoradiť podľa roka Zoradiť podľa názvu	Citované v Citované v	Rok
Multiway p-spectral graph cuts on Grassmann manifolds D Pasadakis, CL Alappat, O Schenk, G Wellein Machine learning, 1-39, 2022	14	2022
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	12	2021
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	6	2018
Sparse quadratic approximation for graph learning D Pasadakis, M Bollhöfer, O Schenk IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (9), 11256 …, 2023	5	2023
A Novel Chemometric Approach for Oil & Source Rock Clustering VI Makri, D Pasadakis, N Pasadakis IMOG 2023 2023 (1), 1-2, 2023	2	2023
Large-scale precision matrix estimation with SQUIC A Eftekhari, L Gaedke-Merzhaeuser, D Pasadakis, M Bollhoefer, ... Available at SSRN 3904001, 2022	1	2022
K-way p-spectral clustering on grassmann manifolds D Pasadakis, CL Alappat, O Schenk, G Wellein CoRR, 2020	1	2020
Nonlinear Modified PageRank Problem for Local Graph Partitioning C Kodsi, D Pasadakis arXiv preprint arXiv:2409.01834, 2024		2024
Algorithm 1042: Sparse Precision Matrix Estimation with `SQUIC` A Eftekhari, L Gaedke-Merzhäuser, D Pasadakis, M Bollhöfer, ... ACM Transactions on Mathematical Software 50 (2), 1-18, 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
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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