재정 지원 요구사항을 통해 공개된 자료 - Makoto Yamada자세히 알아보기
제공된 곳이 없음: 1
Bilaterally normalized scale-consistent sinkhorn distance for few-shot image classification
Y Liu, L Zhu, X Wang, M Yamada, Y Yang
IEEE Transactions on Neural Networks and Learning Systems, 2023
재정 지원 요구사항 정책: Australian Research Council
제공된 곳이 있음: 25
Graphlime: Local interpretable model explanations for graph neural networks
Q Huang, M Yamada, Y Tian, D Singh, Y Chang
IEEE Transactions on Knowledge and Data Engineering 35 (7), 6968-6972, 2022
재정 지원 요구사항 정책: National Natural Science Foundation of China
Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data
H Climente-González, CA Azencott, S Kaski, M Yamada
Bioinformatics 35 (14), i427-i435, 2019
재정 지원 요구사항 정책: Academy of Finland, European Commission
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
재정 지원 요구사항 정책: US National Science Foundation
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
재정 지원 요구사항 정책: US National Science Foundation
Localized lasso for high-dimensional regression
M Yamada, T Koh, T Iwata, J Shawe-Taylor, S Kaski
Artificial Intelligence and Statistics, 325-333, 2017
재정 지원 요구사항 정책: Academy of Finland
Convex factorization machine for toxicogenomics prediction
M Yamada, W Lian, A Goyal, J Chen, K Wimalawarne, SA Khan, S Kaski, ...
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
재정 지원 요구사항 정책: Academy of Finland, Finnish Funding Agency for Innovation
Timeline Summarization from Social Media with Life Cycle Models.
Y Chang, J Tang, D Yin, M Yamada, Y Liu
IJCAI, 3698-3704, 2016
재정 지원 요구사항 정책: US National Science Foundation
Neural methods for point-wise dependency estimation
YHH Tsai, H Zhao, M Yamada, LP Morency, RR Salakhutdinov
Advances in Neural Information Processing Systems 33, 62-72, 2020
재정 지원 요구사항 정책: US National Science Foundation, US Department of Defense, US National …
Combined inhibition of XIAP and BCL2 drives maximal therapeutic efficacy in genetically diverse aggressive acute myeloid leukemia
M Hashimoto, Y Saito, R Nakagawa, I Ogahara, S Takagi, S Takata, ...
Nature Cancer 2 (3), 340-356, 2021
재정 지원 요구사항 정책: UK Medical Research Council, National Institute for Health Research, UK
Convex coupled matrix and tensor completion
K Wimalawarne, M Yamada, H Mamitsuka
Neural computation 30 (11), 3095-3127, 2018
재정 지원 요구사항 정책: Academy of Finland, Finnish Funding Agency for Innovation, Business Finland
Inflating 2D convolution weights for efficient generation of 3D medical images
Y Liu, G Dwivedi, F Boussaid, F Sanfilippo, M Yamada, M Bennamoun
Computer Methods and Programs in Biomedicine 240, 107685, 2023
재정 지원 요구사항 정책: Medical Research Future Fund, Australia
Unsupervised nonlinear feature selection from high-dimensional signed networks
Q Huang, T Xia, H Sun, M Yamada, Y Chang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4182-4189, 2020
재정 지원 요구사항 정책: National Natural Science Foundation of China
Optimizing whole-page presentation for web search
Y Wang, D Yin, L Jie, P Wang, M Yamada, Y Chang, Q Mei
ACM Transactions on the Web (TWEB) 12 (3), 1-25, 2018
재정 지원 요구사항 정책: US National Science Foundation, US National Institutes of Health
Nyström method for accurate and scalable implicit differentiation
R Hataya, M Yamada
International Conference on Artificial Intelligence and Statistics, 4643-4654, 2023
재정 지원 요구사항 정책: Japan Science and Technology Agency
Lifecycle modeling for buzz temporal pattern discovery
Y Chang, M Yamada, A Ortega, Y Liu
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (2), 1-24, 2016
재정 지원 요구사항 정책: US National Science Foundation
Least-squares independence regression for non-linear causal inference under non-Gaussian noise
M Yamada, M Sugiyama, J Sese
Machine learning 96 (3), 249-267, 2014
재정 지원 요구사항 정책: Human Frontier Science Program
Robust graph dictionary learning
W Liu, J Xie, C Zhang, M Yamada, N Zheng, H Qian
The Eleventh International Conference on Learning Representations, 2022
재정 지원 요구사항 정책: National Natural Science Foundation of China
Adversarial regression with doubly non-negative weighting matrices
T Le, T Nguyen, M Yamada, J Blanchet, VA Nguyen
Advances in Neural Information Processing Systems 34, 16964-16976, 2021
재정 지원 요구사항 정책: US National Science Foundation, US Department of Defense
Lsmi-sinkhorn: Semi-supervised mutual information estimation with optimal transport
Y Liu, M Yamada, YHH Tsai, T Le, R Salakhutdinov, Y Yang
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
재정 지원 요구사항 정책: US National Science Foundation, US Department of Defense, US Office of the …
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