Takeuchi Ichiro
Takeuchi Ichiro
Professor of Computer Science, Nagoya Institute of Technology
Verified email at nitech.ac.jp
Title
Cited by
Cited by
Year
Nonparametric quantile estimation
I Takeuchi, QV Le, TD Sears, AJ Smola
Journal of machine learning research 7 (Jul), 1231-1264, 2006
3492006
Identification of FOXO3 and PRDM1 as tumor-suppressor gene candidates in NK-cell neoplasms by genomic and functional analyses
K Karube, M Nakagawa, S Tsuzuki, I Takeuchi, K Honma, Y Nakashima, ...
Blood, The Journal of the American Society of Hematology 118 (12), 3195-3204, 2011
1592011
Genome‐wide analysis of DNA copy number alterations and gene expression in gastric cancer
Y Tsukamoto, T Uchida, S Karnan, T Noguchi, LT Nguyen, M Tanigawa, ...
The Journal of Pathology: A Journal of the Pathological Society of Great …, 2008
1492008
Morphology-based prediction of osteogenic differentiation potential of human mesenchymal stem cells
F Matsuoka, I Takeuchi, H Agata, H Kagami, H Shiono, Y Kiyota, H Honda, ...
PloS one 8 (2), 2013
942013
Multiple incremental decremental learning of support vector machines
M Karasuyama, I Takeuchi
IEEE Transactions on Neural Networks 21 (7), 1048-1059, 2010
942010
Safe screening of non-support vectors in pathwise SVM computation
K Ogawa, Y Suzuki, I Takeuchi
International conference on machine learning, 1382-1390, 2013
862013
High‐resolution analysis of DNA copy number alterations and gene expression in renal clear cell carcinoma
T Yoshimoto, K Matsuura, S Karnan, H Tagawa, C Nakada, M Tanigawa, ...
The Journal of Pathology: A Journal of the Pathological Society of Great …, 2007
832007
Chromatin regulator PRC2 is a key regulator of epigenetic plasticity in glioblastoma
A Natsume, M Ito, K Katsushima, F Ohka, A Hatanaka, K Shinjo, S Sato, ...
Cancer research 73 (14), 4559-4570, 2013
792013
Least-squares conditional density estimation
M Sugiyama, I Takeuchi, T Suzuki, T Kanamori, H Hachiya, D Okanohara
IEICE Transactions on Information and Systems 93 (3), 583-594, 2010
702010
Prognostic relevance of genetic alterations in diffuse lower-grade gliomas
K Aoki, H Nakamura, H Suzuki, K Matsuo, K Kataoka, T Shimamura, ...
Neuro-oncology 20 (1), 66-77, 2018
692018
Density-difference estimation
M Sugiyama, T Kanamori, T Suzuki, MC Plessis, S Liu, I Takeuchi
Neural Computation 25 (10), 2734-2775, 2013
672013
Array comparative genomic hybridization analysis of PTCL-U reveals a distinct subgroup with genetic alterations similar to lymphoma-type adult T-cell leukemia/lymphoma
M Nakagawa, A Nakagawa-Oshiro, S Karnan, H Tagawa, A Utsunomiya, ...
Clinical cancer research 15 (1), 30-38, 2009
662009
Aberrant DNA methylation associated with aggressiveness of gastrointestinal stromal tumour
Y Okamoto, A Sawaki, S Ito, T Nishida, T Takahashi, M Toyota, H Suzuki, ...
Gut 61 (3), 392-401, 2012
582012
Integrated analysis of genetic and epigenetic alterations reveals CpG island methylator phenotype associated with distinct clinical characters of lung adenocarcinoma
K Shinjo, Y Okamoto, B An, T Yokoyama, I Takeuchi, M Fujii, H Osada, ...
Carcinogenesis 33 (7), 1277-1285, 2012
542012
Nonparametric conditional density estimation using piecewise-linear solution path of kernel quantile regression
I Takeuchi, K Nomura, T Kanamori
Neural Computation 21 (2), 533-559, 2009
532009
Epigenetic subclassification of meningiomas based on genome-wide DNA methylation analyses
Y Kishida, A Natsume, Y Kondo, I Takeuchi, B An, Y Okamoto, K Shinjo, ...
Carcinogenesis 33 (2), 436-441, 2012
512012
Downregulation of SAV1 plays a role in pathogenesis of high-grade clear cell renal cell carcinoma
K Matsuura, C Nakada, M Mashio, T Narimatsu, T Yoshimoto, ...
BMC cancer 11 (1), 523, 2011
502011
The neuronal differentiation factor NeuroD1 downregulates the neuronal repellent factor Slit2 expression and promotes cell motility and tumor formation of neuroblastoma
P Huang, S Kishida, D Cao, Y Murakami-Tonami, P Mu, M Nakaguro, ...
Cancer research 71 (8), 2938-2948, 2011
462011
A density-ratio framework for statistical data processing
M Sugiyama, T Kanamori, T Suzuki, S Hido, J Sese, I Takeuchi, L Wang
IPSJ Transactions on Computer Vision and Applications 1, 183-208, 2009
462009
Machine-learning-based selective sampling procedure for identifying the low-energy region in a potential energy surface: A case study on proton conduction in oxides
K Toyoura, D Hirano, A Seko, M Shiga, A Kuwabara, M Karasuyama, ...
Physical Review B 93 (5), 054112, 2016
452016
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