Vasileios Vasileiadis
Vasileios Vasileiadis
ipQuants - Zurich
Verified email at ipQuants.com
TitleCited byYear
Improving co-cluster quality with application to product recommendations
M Vlachos, F Fusco, C Mavroforakis, A Kyrillidis, VG Vassiliadis
Proceedings of the 23rd ACM International Conference on Conference on†…, 2014
172014
On data publishing with clustering preservation
M Vlachos, J Schneider, VG Vassiliadis
ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (3), 23, 2015
92015
Statistical methods and software for risk assessment: applications to a neurophysiological data set
GJ Karavasilis, VK Kotti, DS Tsitsis, VG Vassiliadis, AG Rigas
Computational statistics & data analysis 49 (1), 243-263, 2005
92005
A study of correlation between seismicity and mental health: Crete, 2008–2010
GC Anagnostopoulos, M Basta, Z Stefanakis, VG Vassiliadis, ...
Geomatics, Natural Hazards and Risk 6 (1), 45-75, 2015
62015
MLE for the γ-order Generalized Normal Distribution
C Kitsos, V Vassiliadis, T Toulias
Discussiones Mathematicae Probability and Statistics 34 (1-2), 143-158, 2014
62014
Linear-complexity relaxed word Mover's distance with GPU acceleration
K Atasu, T Parnell, C DŁnner, M Sifalakis, H Pozidis, V Vasileiadis, ...
2017 IEEE International Conference on Big Data (Big Data), 889-896, 2017
32017
A semi-parametric approach for comparing the estimated spectra of two stationary point processes
AG Rigas, VG Vassiliadis
Mathematical biosciences 210 (2), 361-377, 2007
32007
Toward interpretable predictive models in B2B recommender systems
M Vlachos, VG Vassiliadis, R Heckel, A Labbi
IBM Journal of Research and Development 60 (5/6), 11: 1-11: 12, 2016
22016
A semi-parametric test based on a quasi-likelihood approach for comparing the estimated spectra of two neural spike trains
VG Vassiliadis, AG Rigas
Neurocomputing 72 (13-15), 3212-3219, 2009
22009
A new formulation of the Hinich’s bispectral test for linearity based on a novel Q–Q plot for testing distributional hypotheses
VG Vassiliadis, AG Rigas
e-Proc international conference on cancer risk assessment 3, 2009
22009
Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems
M Vlachos, C DŁnner, R Heckel, VG Vassiliadis, T Parnell, K Atasu
IEEE Transactions on Knowledge and Data Engineering 31 (7), 1253-1266, 2018
12018
Risk Assessment of Complex Evolving Systems Involving Multiple Inputs
AG Rigas, VG Vassiliadis
Theory and Practice of Risk Assessment, 159-175, 2015
12015
Consistent estimates of third-order spectral density function of a stationary point process: Application to Neurophysiological problems
VG Vassiliadis, AG Rigas
FAR EAST JOURNAL OF THEORETICAL STATISTICS 19 (2), 245, 2006
12006
Phase recovery of a stochastic point process system
VG Vassiliadis, AG Rigas
Recent trends in multimedia information processing, 37-43, 2002
12002
Dealing with the Phenomenon of Quasi-complete Separation and a Goodness of Fit Test in Logistic Regression Models in the Case of Long Data Sets
VG Vassiliadis, II Spyroglou, AG Rigas, JR Rosenberg, KA Lindsay
Statistics in Biosciences 11 (3), 567-596, 2019
2019
Low-complexity methods for assessing distances between pairs of documents
K Atasu, CB RAMIS, N Ioannou, TP Parnell, C Pozidis, V Vasileiadis
US Patent App. 15/918,963, 2019
2019
Reconet: an interpretable neural architecture for recommender systems
F Fusco, M Vlachos, V Vasileiadis, K Wardatzky, J Schneider
Proceedings of the Twenty-Eighth International Joint Conference on†…, 2019
2019
Correlation between Intense Solar Energetic Particle Fluxes and Atmospheric Weather Extremes
G Anagnostopoulos, SA Menesidou, VG Vassiliadis, A Rigas
Preprints, 2019
2019
Differential effects of earthquakes on patients with bipolar disorder versus schizophrenia: Findings from Crete, Greece, 2008-2010.
GC Anagnostopoulos, M Basta, AN Vgontzas, AG Rigas, VG Vassiliadis, ...
Psychiatrike= Psychiatriki 30 (3), 193-203, 2019
2019
System and method for a scalable recommender system using massively parallel processors
C Duenner, T Parnell, C Pozidis, V Vasileiadis, M Vlachos
US Patent App. 15/468,308, 2018
2018
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