| Nonparametric quantile estimation. I Takeuchi, QV Le, TD Sears, AJ Smola, C Williams Journal of machine learning research 7 (7), 2006 | 577 | 2006 |
| 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 | 273 | 2018 |
| Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with unannotated histopathological images N Hashimoto, D Fukushima, R Koga, Y Takagi, K Ko, K Kohno, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 226 | 2020 |
| 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 | 202 | 2008 |
| 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 | 196 | 2011 |
| 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), e55082, 2013 | 158 | 2013 |
| Safe screening of non-support vectors in pathwise SVM computation K Ogawa, Y Suzuki, I Takeuchi International conference on machine learning, 1382-1390, 2013 | 142 | 2013 |
| Multiple incremental decremental learning of support vector machines M Karasuyama, I Takeuchi IEEE Transactions on Neural Networks 21 (7), 1048-1059, 2010 | 141 | 2010 |
| Multi-fidelity Bayesian optimization with max-value entropy search and its parallelization S Takeno, H Fukuoka, Y Tsukada, T Koyama, M Shiga, I Takeuchi, ... International Conference on Machine Learning, 9334-9345, 2020 | 128 | 2020 |
| 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 | 120 | 2013 |
| Bayesian-driven first-principles calculations for accelerating exploration of fast ion conductors for rechargeable battery application R Jalem, K Kanamori, I Takeuchi, M Nakayama, H Yamasaki, T Saito Scientific reports 8 (1), 5845, 2018 | 105 | 2018 |
| 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 | 96 | 2010 |
| 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 | 91 | 2012 |
| 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 | 91 | 2007 |
| Density-difference estimation M Sugiyama, T Kanamori, T Suzuki, MC Du Plessis, S Liu, I Takeuchi Neural Computation 25 (10), 2734-2775, 2013 | 89 | 2013 |
| 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, 1-10, 2011 | 79 | 2011 |
| 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 | 77 | 2009 |
| 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 | 76 | 2009 |
| Conditional density estimation via least-squares density ratio estimation M Sugiyama, I Takeuchi, T Suzuki, T Kanamori, H Hachiya, D Okanohara Proceedings of the Thirteenth International Conference on Artificial …, 2010 | 72 | 2010 |
| 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 | 71 | 2016 |
