Sangkyun Lee

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Katharina MorikProfessor of Computer Science, TU Dortmund UniversityVerified email at tu-dortmund.de
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinVerified email at cs.wisc.edu
Nico PiatkowskiFraunhofer IAISVerified email at iais.fraunhofer.de
Malgorzata BogdanUniversity of WroclawVerified email at uwr.edu.pl
Pieter Mestdaghpostdoctoral fellow, Ghent UniversityVerified email at ugent.be
Katleen De Preterpost-doctoral researcher, Ghent UniversityVerified email at ugent.be
Johannes KösterUniversity of Duisburg-EssenVerified email at uni-due.de
Jörg RahnenführerTU Dortmund UniversityVerified email at statistik.tu-dortmund.de
Varesio LuigiIstituto Giannina GasliniVerified email at ospedale-gaslini.ge.it
Jan KosterGroupleader Bioinformatics, AUMC, location AMCVerified email at amsterdamumc.nl
Shahab AsgharzadehAssociate Professor, University of Southern CaliforniaVerified email at chla.usc.edu
Michel LangTU Dortmund; LMU MunichVerified email at statistik.tu-dortmund.de
Andreas HolzingerHuman-Centered AI Lab, University of Natural Resources and Life Sciences, Vienna, AustriaVerified email at boku.ac.at
Christian BockermannResearcher, TU Dortmund UniversityVerified email at udo.edu
Stallings RLRoyal College of Surgeons in IrelandVerified email at rcsi.ie
Seung-Joon YiPusan National UniversityVerified email at pusan.ac.kr
Byoung-Tak ZhangProfessor of Computer Science, Cognitive Science, and Brain Science, Seoul National UniversityVerified email at bi.snu.ac.kr
Christian PoelitzTu Dortmund UniversityVerified email at tu-dortmund.de

Sangkyun Lee

School of Cybersecurity, Korea University

Verified email at korea.ac.kr - Homepage

Artificial Intelligence AI Security Large-Scale Machine Learning Deep Learning Sparse Coding / High-Dimensional Model Select


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Mutational dynamics between primary and relapse neuroblastomas A Schramm, J Köster, Y Assenov, K Althoff, M Peifer, E Mahlow, ... Nature genetics 47 (8), 872-877, 2015	286	2015
Manifold identification in dual averaging for regularized stochastic online learning S Lee, SJ Wright The Journal of Machine Learning Research 13, 1705-1744, 2012	78	2012
Manifold Identification of Dual Averaging Methods for Regularized Stochastic Online Learning S Lee, SJ Wright the 28th International Conference on Machine Learning, 1121-1128, 2011	78*	2011
Spatio-temporal random fields: compressible representation and distributed estimation N Piatkowski, S Lee, K Morik Machine learning 93 (1), 115-139, 2013	42	2013
Implementing algorithms for signal and image reconstruction on graphical processing units S Lee, SJ Wright	38	2008
Integer undirected graphical models for resource-constrained systems N Piatkowski, S Lee, K Morik Neurocomputing 173, 9-23, 2016	31	2016
Sensitivity to cdk1-inhibition is modulated by p53 status in preclinical models of embryonal tumors M Schwermer, S Lee, J Köster, T Van Maerken, H Stephan, A Eggert, ... Oncotarget 6 (17), 15425, 2015	26	2015
Sparse portfolio selection via the sorted ℓ1-Norm PJ Kremer, S Lee, M Bogdan, S Paterlini Journal of Banking & Finance 110, 105687, 2020	21	2020
Sparse portfolio selection via the sorted ℓ1-Norm PJ Kremer, S Lee, M Bogdan, S Paterlini Journal of Banking & Finance 110, 105687, 2020	21	2020
Knowledge discovery from complex high dimensional data S Lee, A Holzinger Solving Large Scale Learning Tasks. Challenges and Algorithms, 148-167, 2016	18	2016
Separable approximate optimization of support vector machines for distributed sensing S Lee, M Stolpe, K Morik ECML/PKDD, 387-402, 2012	13	2012
Robust selection of cancer survival signatures from high-throughput genomic data using two-fold subsampling S Lee, J Rahnenführer, M Lang, K De Preter, P Mestdagh, J Koster, ... PLoS One 9 (10), e108818, 2014	11	2014
The Integer Approximation of Undirected Graphical Models N Piatkowski, S Lee, K Morik International Conference on Pattern Recognition Applications and Methods, 2014	9	2014
Fast saddle-point algorithm for generalized dantzig selector and fdr control with ordered L1-norm S Lee, D Brzyski, M Bogdan Artificial Intelligence and Statistics, 780-789, 2016	8	2016
Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with the Ordered l1-Norm S Lee, D Brzyski, M Bogdan AISTATS; JMLR: W&CP 51, 2016	8	2016
Sparse nonlinear support vector machines via stochastic approximation S Lee, SJ Wright Univ. of Wisconsin Report, submitted, 2010	8	2010
The mutational landscape of MYCN, Lin28b and ALKF1174L driven murine neuroblastoma mimics human disease B De Wilde, A Beckers, S Lindner, A Kristina, K De Preter, P Depuydt, ... Oncotarget 9 (9), 8334, 2018	6	2018
Spatio-temporal models for sustainability N Piatkowski, S Lee, K Morik Proceedings of the SustKDD Workshop within ACM KDD, 2012	6	2012
ASSET: Approximate Stochastic Subgradient Estimation Training for Support Vector Machines. S Lee, SJ Wright International Conference on Pattern Recognition Applications and Methods …, 2012	6	2012
Structure learning of Gaussian Markov random fields with false discovery rate control S Lee, P Sobczyk, M Bogdan Symmetry 11 (10), 1311, 2019	5	2019

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