Takanori Maehara

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Ken-ichi KawarabayashiDirección de correo verificada de nii.ac.jp
Hoang NTDirección de correo verificada de gearons.org
Kazuo MurotaThe Institute of Statistical Mathematics / Tokyo Metropolitan UniversityDirección de correo verificada de tmu.ac.jp
Danushka BollegalaProfessor, The University of Liverpool, DMML, Amazon.comDirección de correo verificada de amazon.com
Satoshi HaraAssistant Professor, Osaka UniversityDirección de correo verificada de ar.sanken.osaka-u.ac.jp
Masashi ToyodaInstitute of Industrial Science, The University of TokyoDirección de correo verificada de acm.org
Mohammed AlsuhaibaniQassim UniversityDirección de correo verificada de qu.edu.sa
Kohei HayashiResearcher, Preferred NetworksDirección de correo verificada de preferred.jp
Taro TakaguchiSenior Data Scientist, LINE CorpDirección de correo verificada de linecorp.com
Takuya AkibaPreferred Networks, Inc.Dirección de correo verificada de preferred.jp
Tatsunori TaniaiSenior Researcher, OMRON SINIC X CorporationDirección de correo verificada de sinicx.com
Masakazu IshihataNTT Communication Science LaboratoriesDirección de correo verificada de hco.ntt.co.jp
Takuro FukunagaChuo UniversityDirección de correo verificada de g.chuo-u.ac.jp
Geert LeusFull Professor at Delft University of Technology (TU Delft)Dirección de correo verificada de tudelft.nl
Mario CoutiñoResearch Scientist Radar Technologies at TNODirección de correo verificada de tno.nl
Masaaki ImaizumiThe University of TokyoDirección de correo verificada de g.ecc.u-tokyo.ac.jp
Elvin IsufiAssistant Professor, Multimedia Computing Group, Delft University of TechnologyDirección de correo verificada de tudelft.nl
Yoichi IwataNational Institute of InformaticsDirección de correo verificada de nii.ac.jp
Tsuyoshi MurataAssociate Professor of Computer Science, Tokyo Institute of TechnologyDirección de correo verificada de cs.titech.ac.jp
Yuichi YoshidaNational Institute of InformaticsDirección de correo verificada de nii.ac.jp

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Takanori Maehara

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Algorithms Discrete Optimization Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Revisiting graph neural networks: All we have is low-pass filters NT Hoang, T Maehara arXiv preprint arXiv:1905.09550 2, 2019	173	2019
Scalable similarity search for SimRank M Kusumoto, T Maehara, K Kawarabayashi Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014	107	2014
Computing personalized pagerank quickly by exploiting graph structures T Maehara, T Akiba, Y Iwata, K Kawarabayashi Proceedings of the VLDB Endowment 7 (12), 1023-1034, 2014	73	2014
Joint word representation learning using a corpus and a semantic lexicon D Bollegala, M Alsuhaibani, T Maehara, K Kawarabayashi Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	72	2016
Unsupervised cross-domain word representation learning D Bollegala, T Maehara, K Kawarabayashi arXiv preprint arXiv:1505.07184, 2015	72	2015
Neural inverse rendering for general reflectance photometric stereo T Taniai, T Maehara International Conference on Machine Learning, 4857-4866, 2018	71	2018
Ellipsoidal model of the rise of a Taylor bubble in a round tube T Funada, DD Joseph, T Maehara, S Yamashita International journal of multiphase flow 31 (4), 473-491, 2005	64	2005
Efficient pagerank tracking in evolving networks N Ohsaka, T Maehara, K Kawarabayashi Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	52	2015
Algorithm for error-controlled simultaneous block-diagonalization of matrices T Maehara, K Murota SIAM Journal on Matrix Analysis and Applications 32 (2), 605-620, 2011	51	2011
Enumerate lasso solutions for feature selection S Hara, T Maehara Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	50	2017
Reply trees in twitter: data analysis and branching process models R Nishi, T Takaguchi, K Oka, T Maehara, M Toyoda, K Kawarabayashi, ... Social network analysis and mining 6 (1), 1-13, 2016	50	2016
A numerical algorithm for block-diagonal decomposition of matrix*-algebras with general irreducible components T Maehara, K Murota Japan journal of industrial and applied mathematics 27 (2), 263-293, 2010	47	2010
Expected tensor decomposition with stochastic gradient descent T Maehara, K Hayashi, K Kawarabayashi Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	36	2016
Data cleansing for models trained with SGD S Hara, A Nitanda, T Maehara Advances in Neural Information Processing Systems 32, 2019	34	2019
On tensor train rank minimization: Statistical efficiency and scalable algorithm M Imaizumi, T Maehara, K Hayashi advances in neural information processing systems 30, 2017	32	2017
Real-time top-R topic detection on twitter with topic hijack filtering K Hayashi, T Maehara, M Toyoda, K Kawarabayashi Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	30	2015
Exact computation of influence spread by binary decision diagrams T Maehara, H Suzuki, M Ishihata Proceedings of the 26th International Conference on World Wide Web, 947-956, 2017	28	2017
Jointly learning word embeddings using a corpus and a knowledge base M Alsuhaibani, D Bollegala, T Maehara, K Kawarabayashi PloS one 13 (3), e0193094, 2018	27	2018
Embedding semantic relations into word representations D Bollegala, T Maehara, K Kawarabayashi Twenty-fourth international joint conference on artificial intelligence, 2015	27	2015
Efficient simrank computation via linearization T Maehara, M Kusumoto, K Kawarabayashi arXiv preprint arXiv:1411.7228, 2014	27	2014

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