Dimosthenis Pasadakis

http://usi.to/vh8

Publications

Eftekhari A., Gaedke-Merzhäuser L., Pasadakis D., Bollhöfer M., Scheidegger S., Schenk O. (2024) Algorithm 1042: Sparse Precision Matrix Estimation With SQUIC, ACM Transactions on Mathematical Software, Volume 50 (Issue 2):1-18
Pasadakis D., Bollhoefer M., Schenk O. (2023) Sparse Quadratic Approximation for Graph Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 45:11256-11269
Eftekhari A., Pasadakis D., Scheidegger S., Bollhoefer M., Schenk O. (2021) Block-Enhanced Precision Matrix Estimation for Large-Scale Datasets, Journal of Computational Science, 53:1-39
Pasadakis D., Alappat C. L., Schenk O., Wellein G. (2021) Multiway p-spectral graph cuts on Grassmann manifolds, Machine Learning:1-42

Lechekhab M., Pasadakis D., Schenk O. (forthcoming) Multilevel Diffusion Based Spectral Graph Clustering. IEEE. 28th Annual IEEE High Performance Extreme Computing Virtual Conference

Schmidt J. ., Pasadakis D., Sathe M., Schenk O. (2024) GAMLNet: a graph based framework for the detection of money laundering. IEEE SDS24. IEEE. IEEE Swiss Conference on Data Science (SDS). The Circle Convention Center, Zurich Airport. May 30 – 31, 2024
Makri V., Pasadakis D., Pasadakis N. (2023) A Novel Chemometric Approach for Oil & Source Rock Clustering. European Association of Geoscientists & Engineers. IMOG. Montpellier, France. 10–15 September 2023
Pasadakis D., Schenk O., Vlacic V. ., Yzelman A. J. (2023) Nonlinear Spectral Clustering with C++ GraphBLAS. IEEE HPEC 2023. IEEE. 27th Annual IEEE High Performance Extreme Computing Conference. Virtual. 25 - 29 September 2023
Simpson T., Pasadakis D., Kourounis D., Fujita K., Yamaguchi T. ., Ichimura T. ., Schenk O. (2018) Balanced Graph Partition Refinement using the Graph p-Laplacian. Proceedings of the ACM Platform for Advanced Scientific Computing Conference. ACM. PASC’18. Platform for Advanced Scientific Computing Conference (PASC). Basel. July 02 - 04, 2018