Makoto Yamada - Google Scholar Citations

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	All	Since 2015
Citations	1598	1181
h-index	19	17
i10-index	37	28

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Co-authors

Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Song LiuLecturer in Statistical Science, University of Bristol, UKVerified email at bristol.ac.uk
Dawei YinSenior Director at JD.comVerified email at jd.com
Leonid SigalAssociate Professor, University of British ColumbiaVerified email at cs.ubc.ca
Taiji SuzukiUniversity of TokyoVerified email at mist.i.u-tokyo.ac.jp
Gang NiuRIKEN Center for Advanced Intelligence ProjectVerified email at postman.riken.jp
Akisato KimuraNTT Communication Science LaboratoriesVerified email at ieee.org
gordon wichernMERLVerified email at asu.edu
Tam LePostdoctoral Researcher at RIKEN AIPVerified email at iip.ist.i.kyoto-u.ac.jp
Tomoharu IwataNTTVerified email at hco.ntt.co.jp
Nigel CollierDirector of Research in Computational Linguistics, University of CambridgeVerified email at cam.ac.uk
Wittawat JitkrittumMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Jaak SimmPostdoctoral researcher, University of LeuvenVerified email at esat.kuleuven.be
Tomoko MatsuiInstitute of Statistical MathematicsVerified email at ism.ac.jp
Alejandro Marcos AlvarezSystems and Modeling Research Unit, Montefiore Institute, University of LiègeVerified email at ulg.ac.be
Mahmood Azimi-SadjadiProfessor of Electrical and Computer Engineering, Colorado State UniversityVerified email at engr.colostate.edu
Michalis RaptisSoftware Engineer at Google Inc.Verified email at cs.ucla.edu
Bo DaiResearch Scientist, Google BrainVerified email at gatech.edu
Eric XingProfessor of Machine Learning, Language Technology, Computer Science, Cargenie Mellon UniversityVerified email at cs.cmu.edu
Kenji FukumizuThe Institute of Statistical MathematicsVerified email at ism.ac.jp

Makoto Yamada

Kyoto University / RIKEN AIP

Verified email at i.kyoto-u.ac.jp - Homepage

Machine Learning Data mining


Title	Cited by	Year
Change-point detection in time-series data by relative density-ratio estimation S Liu, M Yamada, N Collier, M Sugiyama Neural Networks 43, 72-83, 2013	295	2013
High-dimensional feature selection by feature-wise kernelized lasso M Yamada, W Jitkrittum, L Sigal, EP Xing, M Sugiyama Neural computation 26 (1), 185-207, 2014	125	2014
Relative density-ratio estimation for robust distribution comparison M Yamada, T Suzuki, T Kanamori, H Hachiya, M Sugiyama Neural computation 25 (5), 1324-1370, 2013	119	2013
Intelligent image-activated cell sorting N Nitta, T Sugimura, A Isozaki, H Mikami, K Hiraki, S Sakuma, T Iino, ... Cell 175 (1), 266-276. e13, 2018	93	2018
Information-theoretic Semi-supervised Metric Learning via Entropy Regularization G Niu, B Dai, M Yamada, M Sugiyama Arxiv preprint arXiv:1206.4614, 2012	72	2012
Semi-supervised speaker identification under covariate shift M Yamada, M Sugiyama, T Matsui Signal Processing 90 (8), 2353-2361, 2010	52	2010
Beyond ranking: Optimizing whole-page presentation Y Wang, D Yin, L Jie, P Wang, M Yamada, Y Chang, Q Mei Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016	49	2016
Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search M Sugiyama, M Yamada, P Von Buenau, T Suzuki, T Kanamori, ... Neural Networks 24 (2), 183-198, 2011	46	2011
Change-point detection with feature selection in high-dimensional time-series data M Yamada, A Kimura, F Naya, H Sawada Twenty-Third International Joint Conference on Artificial Intelligence, 2013	45	2013
Cross-domain object matching with model selection M Yamada, M Sugiyama Proceedings of the Fourteenth International Conference on Artificial …, 2011	39	2011
No bias left behind: Covariate shift adaptation for discriminative 3d pose estimation M Yamada, L Sigal, M Raptis European Conference on Computer Vision, 674-687, 2012	38	2012
On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution. M Sugiyama, M Yamada, M Kimura, H Hachiya ICML, 65-72, 2011	38	2011
Information-maximization clustering based on squared-loss mutual information M Sugiyama, G Niu, M Yamada, M Kimura, H Hachiya Neural Computation 26 (1), 84-131, 2014	31	2014
High-throughput imaging flow cytometry by optofluidic time-stretch microscopy C Lei, H Kobayashi, Y Wu, M Li, A Isozaki, A Yasumoto, H Mikami, T Ito, ... Nature protocols 13 (7), 1603-1631, 2018	29	2018
Direct importance estimation with Gaussian mixture models M Yamada, M Sugiyama IEICE transactions on information and systems 92, 2159-2162, 2009	29	2009
Dependence minimizing regression with model selection for non-linear causal inference under non-Gaussian noise M Yamada, M Sugiyama Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence …, 2010	27	2010
Clustering-based anomaly detection in multi-view data A Marcos Alvarez, M Yamada, A Kimura, T Iwata Proceedings of the 22nd ACM international conference on Information …, 2013	26	2013
Direct divergence approximation between probability distributions and its applications in machine learning M Sugiyama, S Liu, MC Du Plessis, M Yamanaka, M Yamada, T Suzuki, ... Journal of Computing Science and Engineering 7 (2), 99-111, 2013	22	2013
Image context discovery from socially curated contents A Kimura, K Ishiguro, M Yamada, A Marcos Alvarez, K Kataoka, ... Proceedings of the 21st ACM international conference on Multimedia, 565-568, 2013	21	2013
Consistent collective matrix completion under joint low rank structure S Gunasekar, M Yamada, D Yin, Y Chang Artificial Intelligence and Statistics, 306-314, 2015	19	2015

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