Makoto Yamada - Google Scholar

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	All	Since 2015
Citations	1860	1438
h-index	21	18
i10-index	39	31

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315

2009201020112012201320142015201620172018201920209 27 30 73 132 124 166 144 180 273 417 258

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 YinDirector of Search Science at Baidu, Inc.Verified email at baidu.com
Leonid SigalAssociate Professor, University of British ColumbiaVerified email at cs.ubc.ca
Taiji SuzukiThe University of TokyoVerified email at mist.i.u-tokyo.ac.jp
Takafumi KanamoriTokyo Institute of TechnologyVerified email at c.titech.ac.jp
Gang NiuRIKEN Center for Advanced Intelligence ProjectVerified email at postman.riken.jp
Akisato KimuraNTT Communication Science LaboratoriesVerified email at ieee.org
Tam LePostdoctoral Researcher at RIKEN AIPVerified email at iip.ist.i.kyoto-u.ac.jp
gordon wichernMERLVerified email at asu.edu
Wittawat JitkrittumMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Hisashi KashimaProfessor, Kyoto UniversityVerified email at i.kyoto-u.ac.jp
Tomoharu IwataNTTVerified email at hco.ntt.co.jp
Nigel CollierProfessor of Natural Language Processing, University of CambridgeVerified email at cam.ac.uk
Yao-Hung Hubert TsaiCarnegie Mellon University PhD StudentVerified email at andrew.cmu.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
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
Kenji FukumizuThe Institute of Statistical MathematicsVerified email at ism.ac.jp

Makoto Yamada

Kyoto University / RIKEN Center for Advanced Intelligence Project

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

Machine Learning Data mining


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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	333	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	150	2014
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	136	2018
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	130	2013
Information-theoretic Semi-supervised Metric Learning via Entropy Regularization G Niu, B Dai, M Yamada, M Sugiyama Arxiv preprint arXiv:1206.4614, 2012	77	2012
Semi-supervised speaker identification under covariate shift M Yamada, M Sugiyama, T Matsui Signal Processing 90 (8), 2353-2361, 2010	55	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	53	2016
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	51	2013
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	51	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	39	2012
Cross-domain object matching with model selection M Yamada, M Sugiyama Proceedings of the Fourteenth International Conference on Artificial …, 2011	39	2011
On information-maximization clustering: Tuning parameter selection and analytic solution M Sugiyama, M Yamada, M Kimura, H Hachiya Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011	38	2011
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	36	2018
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	33	2014
Direct importance estimation with Gaussian mixture models M Yamada, M Sugiyama IEICE transactions on information and systems 92, 2159-2162, 2009	31	2009
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	30	2013
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	28	2010
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	25	2013
Ultra high-dimensional nonlinear feature selection for big biological data M Yamada, J Tang, J Lugo-Martinez, E Hodzic, R Shrestha, A Saha, ... IEEE Transactions on Knowledge and Data Engineering 30 (7), 1352-1365, 2018	24	2018
Persistence fisher kernel: A riemannian manifold kernel for persistence diagrams T Le, M Yamada Advances in Neural Information Processing Systems, 10007-10018, 2018	21	2018

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