Yoshinobu Kawahara

Cited by

	All	Since 2017
Citations	2831	2038
h-index	23	20
i10-index	52	39

480

240

120

360

2008200920102011201220132014201520162017201820192020202120227 12 44 53 85 114 135 132 170 166 246 296 399 467 462

Public access

View all

4 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Takehisa YAIRIThe University of Tokyo, Research Center for Advanced Science and TechnologyVerified email at g.ecc.u-tokyo.ac.jp
Naoya TakeishiHaute école specialisée Suisse occidentale (HES-SO)Verified email at hesge.ch
Keisuke FujiiNagoya UniversityVerified email at i.nagoya-u.ac.jp
SHIMIZU ShoheiShiga University & RIKENVerified email at biwako.shiga-u.ac.jp
Aapo HyvarinenUniversity of HelsinkiVerified email at helsinki.fi
Kenneth BollenDepartment of Psychology and Neuroscience, Department of Sociology, University of North Carolina atVerified email at unc.edu
Masahiro IkedaResearch Associate, RIKEN AIP centerVerified email at riken.jp
Chloé-Agathe AzencottMines ParisTechVerified email at mines-paristech.fr
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
SATOSHI MORINAGANEC CorporationVerified email at nec.com
Karsten BorgwardtProfessor, ETH ZurichVerified email at bsse.ethz.ch
Tomoharu IwataNTTVerified email at hco.ntt.co.jp
Dominik G. GrimmProfessor of Bioinformatics at TUM Campus Straubing, HSWTVerified email at hswt.de
Patrik HoyerAlumni, Aalto University and University of HelsinkiVerified email at alumni.aalto.fi
Koh TakeuchiResearcher of NTT Communication Science Labs.Verified email at lab.ntt.co.jp
Bo XinMicrosoft Research AsiaVerified email at microsoft.com
Takayuki ItohOchanomizu UniversityVerified email at is.ocha.ac.jp
Mahito SugiyamaAssociate Professor, National Institute of InformaticsVerified email at nii.ac.jp
Satoshi HaraAssistant Professor, Osaka UniversityVerified email at ar.sanken.osaka-u.ac.jp
Paul von Bünauidalab GmbHVerified email at idalab.de

Yoshinobu Kawahara

Osaka University / RIKEN

Verified email at ist.osaka-u.ac.jp

Machine Learning Dynamical Systems Data Science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Sequential change‐point detection based on direct density‐ratio estimation Y Kawahara, M Sugiyama Statistical Analysis and Data Mining: The ASA Data Science Journal 5 (2 …, 2012	450*	2012
DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model S Shimizu, T Inazumi, Y Sogawa, A Hyvärinen, Y Kawahara, T Washio, ... Journal of Machine Learning Research 12 (Apr), 1225-1248, 2011	374	2011
Learning Koopman invariant subspaces for dynamic mode decomposition N Takeishi, Y Kawahara, T Yairi Advances in Neural Information Processing Systems 30, 1130-1140, 2017	269	2017
Change-point detection in time-series data based on subspace identification Y Kawahara, T Yairi, K Machida Proceedings of the Seventh IEEE International Conference on Data Mining …, 2007	129	2007
Efficient generalized fused lasso and its application to the diagnosis of Alzheimer’s disease B Xin, Y Kawahara, Y Wang, W Gao Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014	92	2014
Telemetry-mining: a machine learning approach to anomaly detection and fault diagnosis for space systems T Yairi, Y Kawahara, R Fujimaki, Y Sato, K Machida Space Mission Challenges for Information Technology, 2006. SMC-IT 2006 …, 2006	90	2006
Dynamic mode decomposition with reproducing kernels for Koopman spectral analysis Y Kawahara Advances in Neural Information Processing Systems 29, 911-919, 2016	78	2016
Efficient network-guided multi-locus association mapping with graph cuts CA Azencott, D Grimm, M Sugiyama, Y Kawahara, KM Borgwardt Bioinformatics 29 (13), i171-i179, 2013	72	2013
Simultaneous pursuit of out-of-sample performance and sparsity in index tracking portfolios A Takeda, M Niranjan, J Gotoh, Y Kawahara Computational Management Science 10 (1), 21-49, 2013	67	2013
Subspace dynamic mode decomposition for stochastic Koopman analysis N Takeishi, Y Kawahara, T Yairi Physical Review E 96, 033310, 2017	65	2017
Bayesian Dynamic Mode Decomposition N Takeishi, Y Kawahara, Y Tabei, T Yairi The Twenty-Sixth International Joint Conference on Artificial Intelligence …, 2017	60	2017
Size-constrained submodular minimization through minimum norm base K Nagano, Y Kawahara, K Aihara ICML, 2011	56	2011
Separation of stationary and non-stationary sources with a generalized eigenvalue problem S Hara, Y Kawahara, T Washio, P Von BüNau, T Tokunaga, K Yumoto Neural networks 33, 7-20, 2012	53	2012
Minimum average cost clustering K Nagano, Y Kawahara, S Iwata Advances in Neural Information Processing Systems 23, 1759-1767, 2010	50	2010
Representative selection with structured sparsity H Wang, Y Kawahara, C Weng, J Yuan Pattern Recognition 63, 268-278, 2017	45	2017
Submodularity cuts and applications Y Kawahara, K Nagano, K Tsuda, JA Bilmes Advances in Neural Information Processing Systems 22, 2009	36	2009
Koopman spectral kernels for comparing complex dynamics: Application to multiagent sport plays K Fujii, Y Inaba, Y Kawahara Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017	31	2017
Efficient generalized fused lasso and its applications B Xin, Y Kawahara, Y Wang, L Hu, W Gao ACM Transactions on Intelligent Systems and Technology (TIST) 7 (4), 1-22, 2016	31	2016
A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model S Shimizu, A Hyvärinen, Y Kawahara, T Washio Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial …, 2009	29*	2009
Submodular fractional programming for balanced clustering Y Kawahara, K Nagano, Y Okamoto Pattern Recognition Letters 32 (2), 235-243, 2011	26	2011

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors