Koji Tsuda - RankMe

149 papers A* 16A 9B 6C 5Misc 3Journal 83Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Statistically Robust Sparse High-order Interaction Model. AAAI Diptesh Das, Ichiro Takeuchi, Koji Tsuda
2025	—	`conf`	Ab-VS: Evaluating Large Language Models for Virtual Antibody Screening Via Antibody-Antigen Interaction Prediction. BIBM Yiming Zhang, Koji Tsuda
2025	J	`jnl`	An ANI-2 enabled open-source protocol to estimate ligand strain after docking. J. Comput. Chem. Francois Berenger, Koji Tsuda
2025	J	`jnl`	CRYSIM: Prediction of Symmetric Structures of Large Crystals with GPU-based Ising Machines. CoRR Chen Liang, Diptesh Das, Jiang Guo, Ryo Tamura, Zetian Mao, Koji Tsuda
2025	J	`jnl`	DT-sampler: A SAT-based Decision Tree Ensemble. SIGKDD Explor. Xiaotian Xue, Chao Huang, Koji Tsuda, Diptesh Das
2025	J	`jnl`	DiffBreed: automatic differentiation enables efficient gradient-based optimization of breeding strategies. Bioinform. Kosuke Hamazaki, Hiroyoshi Iwata, Koji Tsuda
2025	J	`jnl`	Inverse Design of Metamaterials with Manufacturing-Guiding Spectrum-to-Structure Conditional Diffusion Model. CoRR Jiawen Li, Jiang Guo, Yuanzhe Li, Zetian Mao, Jiaxing Shen, Tashi Xu, Diptesh Das, Jinming He, Run Hu, Yaerim Lee, Koji Tsuda, Junichiro Shiomi
2025	J	`jnl`	NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks. CoRR Yiming Zhang, Koji Tsuda
2025	J	`jnl`	NbBench: benchmarking language models for comprehensive nanobody tasks. Mach. Learn. Sci. Technol. Yiming Zhang, Koji Tsuda
2025	J	`jnl`	Qcforever2: Advanced Automation of Quantum Chemistry Computations. J. Comput. Chem. Masato Sumita, Kei Terayama, Shoichi Ishida, Kensuke Suga, Shohei Saito, Koji Tsuda
2025	J	`jnl`	aLLoyM: A large language model for alloy phase diagram prediction. CoRR Yuna Oikawa, Guillaume Deffrennes, Taichi Abe, Ryo Tamura, Koji Tsuda
2024	J	`jnl`	Molecule Graph Networks with Many-body Equivariant Interactions. CoRR Zetian Mao, Jiawen Li, Chen Liang, Diptesh Das, Masato Sumita, Koji Tsuda
2024	J	`jnl`	Preference-Optimized Pareto Set Learning for Blackbox Optimization. CoRR Zhang Haishan, Diptesh Das, Koji Tsuda
2023	J	`jnl`	3D-Sensitive Encoding of Pharmacophore Features. J. Chem. Inf. Model. Francois Berenger, Koji Tsuda
2023	J	`jnl`	Efficient Model Selection for Predictive Pattern Mining Model by Safe Pattern Pruning. CoRR Takumi Yoshida, Hiroyuki Hanada, Kazuya Nakagawa, Kouichi Taji, Koji Tsuda, Ichiro Takeuchi
2023	J	`jnl`	Efficient model selection for predictive pattern mining model by safe pattern pruning. Patterns Takumi Yoshida, Hiroyuki Hanada, Kazuya Nakagawa, Kouichi Taji, Koji Tsuda, Ichiro Takeuchi
2023	J	`jnl`	Feature Importance Measurement based on Decision Tree Sampling. CoRR Chao Huang, Diptesh Das, Koji Tsuda
2023	J	`jnl`	Interpretable Fragment-Based Molecule Design with Self-Learning Entropic Population Annealing. Adv. Intell. Syst. Jiawen Li, Masato Sumita, Ryo Tamura, Koji Tsuda
2023	J	`jnl`	NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science. CoRR Ryo Tamura, Koji Tsuda, Shoichi Matsuda
2023	J	`jnl`	On a linear fused Gromov-Wasserstein distance for graph structured data. Pattern Recognit. Dai Hai Nguyen, Koji Tsuda
2023	J	`jnl`	Revealing factors influencing polymer degradation with rank-based machine learning. Patterns Weilin Yuan, Yusuke Hibi, Ryo Tamura, Masato Sumita, Yasuyuki Nakamura, Masanobu Naito, Koji Tsuda
2022	J	`jnl`	Bayesian optimization package: PHYSBO. Comput. Phys. Commun. Yuichi Motoyama, Ryo Tamura, Kazuyoshi Yoshimi, Kei Terayama, Tsuyoshi Ueno, Koji Tsuda
2022	A*	`conf`	Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model. AAAI Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi
2022	J	`jnl`	On a linear fused Gromov-Wasserstein distance for graph structured data. CoRR Dai Hai Nguyen, Koji Tsuda
2022	J	`jnl`	QCforever: A Quantum Chemistry Wrapper for Everyone to Use in Black-Box Optimization. J. Chem. Inf. Model. Masato Sumita, Kei Terayama, Ryo Tamura, Koji Tsuda
2021	J	`jnl`	A generative model for molecule generation based on chemical reaction trees. CoRR Dai Hai Nguyen, Koji Tsuda
2021	J	`jnl`	Continuous black-box optimization with quantum annealing and random subspace coding. CoRR Syun Izawa, Koki Kitai, Shu Tanaka, Ryo Tamura, Koji Tsuda
2021	J	`jnl`	Fast and More Powerful Selective Inference for Sparse High-order Interaction Model. CoRR Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi
2021	J	`jnl`	Molecular generation by Fast Assembly of (Deep)SMILES fragments. J. Cheminformatics Francois Berenger, Koji Tsuda
2020	J	`jnl`	CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration. J. Cheminformatics Ryosuke Shibukawa, Shoichi Ishida, Kazuki Yoshizoe, Kunihiro Wasa, Kiyosei Takasu, Yasushi Okuno, Kei Terayama, Koji Tsuda
2020	J	`jnl`	Efficient query autocompletion with edit distance-based error tolerance. VLDB J. Jianbin Qin, Chuan Xiao, Sheng Hu, Jie Zhang, Wei Wang, Yoshiharu Ishikawa, Koji Tsuda, Kunihiko Sadakane
2019	J	`jnl`	Leveraging Legacy Data to Accelerate Materials Design via Preference Learning. CoRR Xiaolin Sun, Zhufeng Hou, Masato Sumita, Shinsuke Ishihara, Ryo Tamura, Koji Tsuda
2018	J	`jnl`	DenseZDD: A Compact and Fast Index for Families of Sets. Algorithms Shuhei Denzumi, Jun Kawahara, Koji Tsuda, Hiroki Arimura, Shin-ichi Minato, Kunihiko Sadakane
2018	J	`jnl`	Improving the Accuracy of Protein-Ligand Binding Mode Prediction Using a Molecular Dynamics-Based Pocket Generation Approach. J. Comput. Chem. Mitsugu Araki, Hiroaki Iwata, Biao Ma, Atsuto Fujita, Kei Terayama, Yukari Sagae, Fumie Ono, Koji Tsuda, Narutoshi Kamiya, Yasushi Okuno
2018	A*	`conf`	Legendre Decomposition for Tensors. NeurIPS Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda
2018	J	`jnl`	Legendre Tensor Decomposition. CoRR Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda
2018	J	`jnl`	MP-LAMP: parallel detection of statistically significant multi-loci markers on cloud platforms. Bioinform. Kazuki Yoshizoe, Aika Terada, Koji Tsuda
2018	J	`jnl`	Machine learning accelerates MD-based binding pose prediction between ligands and proteins. Bioinform. Kei Terayama, Hiroaki Iwata, Mitsugu Araki, Yasushi Okuno, Koji Tsuda
2018	J	`jnl`	Transductive Boltzmann Machines. CoRR Mahito Sugiyama, Koji Tsuda, Hiroyuki Nakahara
2017	J	`jnl`	ChemTS: An Efficient Python Library for de novo Molecular Generation. CoRR Xiufeng Yang, Jinzhe Zhang, Kazuki Yoshizoe, Kei Terayama, Koji Tsuda
2017	J	`jnl`	RNA inverse folding using Monte Carlo tree search. BMC Bioinform. Xiufeng Yang, Kazuki Yoshizoe, Akito Taneda, Koji Tsuda
2017	A*	`conf`	Selective Inference for Sparse High-Order Interaction Models. ICML Shinya Suzumura, Kazuya Nakagawa, Yuta Umezu, Koji Tsuda, Ichiro Takeuchi
2017	A*	`conf`	Tensor Balancing on Statistical Manifold. ICML Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda
2017	J	`jnl`	Tensor Balancing on Statistical Manifold. CoRR Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda
2016	J	`jnl`	CellTree: an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq data. BMC Bioinform. David A. duVerle, Sohiya Yotsukura, Seitaro Nomura, Hiroyuki Aburatani, Koji Tsuda
2016	J	`jnl`	Information Decomposition on Structured Space. CoRR Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda
2016	B	`conf`	Information decomposition on structured space. ISIT Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda
2016	J	`jnl`	LAMPLINK: detection of statistically significant SNP combinations from GWAS data. Bioinform. Aika Terada, Ryo Yamada, Koji Tsuda, Jun Sese
2016	A*	`conf`	Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining. KDD Kazuya Nakagawa, Shinya Suzumura, Masayuki Karasuyama, Koji Tsuda, Ichiro Takeuchi
2016	—	`conf`	Significant Pattern Mining with Confounding Variables. PAKDD (1) Aika Terada, David duVerle, Koji Tsuda
2015	Misc	`conf`	BDD construction for all solutions SAT and efficient caching mechanism. SAC Takahisa Toda, Koji Tsuda
2015	A*	`conf`	Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries. KDD Yukino Baba, Hisashi Kashima, Yasunobu Nohara, Eiko Kai, Partha Pratim Ghosh, Rafiqul Islam Maruf, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Koji Tsuda, Masashi Sugiyama, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima
2015	—	`conf`	Privacy-Preserving Statistical Analysis by Exact Logistic Regression. IEEE Symposium on Security and Privacy Workshops David A. duVerle, Shohei Kawasaki, Yoshiji Yamada, Jun Sakuma, Koji Tsuda
2015	J	`jnl`	Privacy-preserving search for chemical compound databases. BMC Bioinform. Kana Shimizu, Koji Nuida, Hiromi Arai, Shigeo Mitsunari, Nuttapong Attrapadung, Michiaki Hamada, Koji Tsuda, Takatsugu Hirokawa, Jun Sakuma, Goichiro Hanaoka, Kiyoshi Asai
2015	J	`jnl`	Redesigning pattern mining algorithms for supercomputers. CoRR Kazuki Yoshizoe, Aika Terada, Koji Tsuda
2015	B	`conf`	Superset Generation on Decision Diagrams. WALCOM Takahisa Toda, Shogo Takeuchi, Koji Tsuda, Shin-ichi Minato
2014	—	`conf`	A Fast Method of Statistical Assessment for Combinatorial Hypotheses Based on Frequent Itemset Enumeration. ECML/PKDD (2) Shin-ichi Minato, Takeaki Uno, Koji Tsuda, Aika Terada, Jun Sese
2014	B	`conf`	DenseZDD: A Compact and Fast Index for Families of Sets. SEA Shuhei Denzumi, Jun Kawahara, Koji Tsuda, Hiroki Arimura, Shin-ichi Minato, Kunihiko Sadakane
2014	J	`jnl`	Distribution Loss Minimization With Guaranteed Error Bound. IEEE Trans. Smart Grid Takeru Inoue, Keiji Takano, Takayuki Watanabe, Jun Kawahara, Ryo Yoshinaka, Akihiro Kishimoto, Koji Tsuda, Shin-ichi Minato, Yasuhiro Hayashi
2014	—	`conf`	Oblivious Evaluation of Non-deterministic Finite Automata with Application to Privacy-Preserving Virus Genome Detection. WPES Hirohito Sasakawa, Hiroki Harada, David duVerle, Hiroki Arimura, Koji Tsuda, Jun Sakuma
2014	C	`conf`	Online matrix prediction for sparse loss matrices. ACML Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto, Koji Tsuda
2014	—	`conf`	Statistically significant subgraphs for genome-wide association study. SSDM@ECML/PKDD Jun Sese, Aika Terada, Yuki Saito, Koji Tsuda
2013	Misc	`conf`	Compact Complete Inverted Files for Texts and Directed Acyclic Graphs Based on Sequence Binary Decision Diagrams . PSC Shuhei Denzumi, Koji Tsuda, Hiroki Arimura, Shin-ichi Minato
2013	J	`jnl`	Discovering combinatorial interactions in survival data. Bioinform. David duVerle, Ichiro Takeuchi, Yuko Murakami-Tonami, Kenji Kadomatsu, Koji Tsuda
2013	J	`jnl`	Efficient Error-tolerant Query Autocompletion. Proc. VLDB Endow. Chuan Xiao, Jianbin Qin, Wei Wang, Yoshiharu Ishikawa, Koji Tsuda, Kunihiko Sadakane
2013	J	`jnl`	Fast Iterative Mining Using Sparsity-Inducing Loss Functions. IEICE Trans. Inf. Syst. Hiroto Saigo, Hisashi Kashima, Koji Tsuda
2013	—	`conf`	Fast Westfall-Young permutation procedure for combinatorial regulation discovery. BIBM Aika Terada, Koji Tsuda, Jun Sese
2012	J	`jnl`	Data Mining for Biologists. Int. J. Knowl. Discov. Bioinform. Koji Tsuda
2012	J	`jnl`	PoSSuM: a database of similar protein-ligand binding and putative pockets. Nucleic Acids Res. Jun-Ichi Ito, Yasuo Tabei, Kana Shimizu, Koji Tsuda, Kentaro Tomii
2011	—	`ch.`	Graph Classification Methods in Chemoinformatics. Handbook of Statistical Bioinformatics Koji Tsuda
2011	A	`conf`	Kernel-based Similarity Search in Massive Graph Databases with Wavelet Trees. SDM Yasuo Tabei, Koji Tsuda
2011	J	`jnl`	LGM: Mining Frequent Subgraphs from Linear Graphs CoRR Yasuo Tabei, Daisuke Okanohara, Shuichi Hirose, Koji Tsuda
2011	—	`conf`	LGM: Mining Frequent Subgraphs from Linear Graphs. PAKDD (2) Yasuo Tabei, Daisuke Okanohara, Shuichi Hirose, Koji Tsuda
2011	—	`ch.`	Matrix Decomposition-based Dimensionality Reduction on Graph Data. Graph Data Management Hiroto Saigo, Koji Tsuda
2011	J	`jnl`	Multi-way set enumeration in weight tensors. Mach. Learn. Elisabeth Georgii, Koji Tsuda, Bernhard Schölkopf
2011	—	`conf`	Second Workshop on Algorithms for Large-Scale Information Processing in Knowledge Discovery (ALSIP). JSAI-isAI Workshops Koji Tsuda, Shin-ichi Minato
2011	J	`jnl`	SlideSort: all pairs similarity search for short reads. Bioinform. Kana Shimizu, Koji Tsuda
2010	J	`jnl`	Cartesian Kernel: An Efficient Alternative to the Pairwise Kernel. IEICE Trans. Inf. Syst. Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda
2010	—	`ch.`	Graph Classification. Managing and Mining Graph Data Koji Tsuda, Hiroto Saigo
2010	J	`jnl`	Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism. BMC Bioinform. Hiroto Saigo, Masahiro Hattori, Hisashi Kashima, Koji Tsuda
2010	C	`conf`	Single versus Multiple Sorting in All Pairs Similarity Search. ACML Yasuo Tabei, Takeaki Uno, Masashi Sugiyama, Koji Tsuda
2009	A	`conf`	A Bayesian Approach to Graphy Regression with Relevant Subgraph Selection. SDM Silvia Chiappa, Hiroto Saigo, Koji Tsuda
2009	J	`jnl`	Efficient Construction of Neighborhood Graphs by the Multiple Sorting Method CoRR Takeaki Uno, Masashi Sugiyama, Koji Tsuda
2009	J	`jnl`	Efficiently finding genome-wide three-way gene interactions from transcript- and genotype-data. Bioinform. Mitsunori Kayano, Ichigaku Takigawa, Motoki Shiga, Koji Tsuda, Hiroshi Mamitsuka
2009	J	`jnl`	Enumeration of condition-dependent dense modules in protein interaction networks. Bioinform. Elisabeth Georgii, Sabine Dietmann, Takeaki Uno, Philipp Pagel, Koji Tsuda
2009	A	`conf`	Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction. SDM Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama, Koji Tsuda
2009	—	`conf`	Multi-way set enumeration in real-valued tensors. KDD Workshop on Data Mining using Matrices and Tensors Elisabeth Georgii, Koji Tsuda, Bernhard Schölkopf
2009	B	`conf`	On Pairwise Kernels: An Efficient Alternative and Generalization Analysis. PAKDD Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda
2009	J	`jnl`	Protein functional class prediction with a combined graph. Expert Syst. Appl. Hyunjung Shin, Koji Tsuda, Bernhard Schölkopf
2009	J	`jnl`	Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach. Bioinform. Hisashi Kashima, Yoshihiro Yamanishi, Tsuyoshi Kato, Masashi Sugiyama, Koji Tsuda
2009	—	`conf`	Submodularity Cuts and Applications. NIPS Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda, Jeff A. Bilmes
2009	J	`jnl`	The DICS repository: module-assisted analysis of disease-related gene lists. Bioinform. Sabine Dietmann, Elisabeth Georgii, Alexey V. Antonov, Koji Tsuda, Hans-Werner Mewes
2009	J	`jnl`	gBoost: a mathematical programming approach to graph classification and regression. Mach. Learn. Hiroto Saigo, Sebastian Nowozin, Tadashi Kadowaki, Taku Kudo, Koji Tsuda
2008	A*	`conf`	Frequent Subgraph Retrieval in Geometric Graph Databases. ICDM Sebastian Nowozin, Koji Tsuda
2008	A	`conf`	Graph Mining with Variational Dirichlet Process Mixture Models. SDM Koji Tsuda, Kenichi Kurihara
2008	A*	`conf`	Iterative Subgraph Mining for Principal Component Analysis. ICDM Hiroto Saigo, Koji Tsuda
2008	A*	`conf`	Partial least squares regression for graph mining. KDD Hiroto Saigo, Nicole Krämer, Koji Tsuda
2007	A	`conf`	Bayesian Inference and Optimal Design in the Sparse Linear Model. AISTATS Matthias W. Seeger, Florian Steinke, Koji Tsuda
2007	A	`conf`	Change-Point Detection using Krylov Subspace Learning. SDM Tsuyoshi Idé, Koji Tsuda
2007	A*	`conf`	Discriminative Subsequence Mining for Action Classification. ICCV Sebastian Nowozin, Gökhan H. Bakir, Koji Tsuda
2007	A*	`conf`	Entire regularization paths for graph data. ICML Koji Tsuda
2007	J	`jnl`	Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models. BMC Syst. Biol. Florian Steinke, Matthias W. Seeger, Koji Tsuda
2007	—	`ed.`	Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings MLG Paolo Frasconi, Kristian Kersting, Koji Tsuda
2007	J	`jnl`	Mining complex genotypic features for predicting HIV-1 drug resistance. Bioinform. Hiroto Saigo, Takeaki Uno, Koji Tsuda
2007	J	`jnl`	Mining expression-dependent modules in the human interaction network. BMC Bioinform. Elisabeth Georgii, Sabine Dietmann, Takeaki Uno, Philipp Pagel, Koji Tsuda
2007	J	`jnl`	NIPS workshop on New Problems and Methods in Computational Biology. BMC Bioinform. Gal Chechik, Christina S. Leslie, William Stafford Noble, Gunnar Rätsch, Quaid Morris, Koji Tsuda
2007	A*	`conf`	Weighted Substructure Mining for Image Analysis. CVPR Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir
2007	—	`conf`	Weighted Substructure Mining for Image Analysis. MLG Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir
2006	A*	`conf`	Clustering graphs by weighted substructure mining. ICML Koji Tsuda, Taku Kudo
2006	J	`jnl`	Mining frequent stem patterns from unaligned RNA sequences. Bioinform. Michiaki Hamada, Koji Tsuda, Taku Kudo, Taishin Kin, Kiyoshi Asai
2006	J	`jnl`	Network-based de-noising improves prediction from microarray data. BMC Bioinform. Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi Asai, Paul Horton, Koji Tsuda, Wataru Fujibuchi
2006	—	`ch.`	Prediction of Protein Function from Networks. Semi-Supervised Learning Hyunjung Shin, Koji Tsuda
2006	J	`jnl`	SCARNA: fast and accurate structural alignment of RNA sequences by matching fixed-length stem fragments. Bioinform. Yasuo Tabei, Koji Tsuda, Taishin Kin, Kiyoshi Asai
2005	—	`conf`	Fast protein classification with multiple networks. ECCB/JBI Koji Tsuda, Hyunjung Shin, Bernhard Schölkopf
2005	J	`jnl`	Image reconstruction by linear programming. IEEE Trans. Image Process. Koji Tsuda, Gunnar Rätsch
2005	J	`jnl`	Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection. J. Mach. Learn. Res. Koji Tsuda, Gunnar Rätsch, Manfred K. Warmuth
2005	A*	`conf`	Propagating distributions on a hypergraph by dual information regularization. ICML Koji Tsuda
2005	J	`jnl`	Selective integration of multiple biological data for supervised network inference. Bioinform. Tsuyoshi Kato, Koji Tsuda, Kiyoshi Asai
2004	—	`conf`	A New Variational Framework for Rigid-Body Alignment. SSPR/SPR Tsuyoshi Kato, Koji Tsuda, Kentaro Tomii, Kiyoshi Asai
2004	J	`jnl`	Asymptotic Properties of the Fisher Kernel. Neural Comput. Koji Tsuda, Shotaro Akaho, Motoaki Kawanabe, Klaus-Robert Müller
2004	—	`conf`	Learning kernels from biological networks by maximizing entropy. ISMB/ECCB (Supplement of Bioinformatics) Koji Tsuda, William Stafford Noble
2004	—	`conf`	Learning to Find Graph Pre-images. DAGM-Symposium Gökhan H. Bakir, Alexander Zien, Koji Tsuda
2004	—	`conf`	Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection. NIPS Koji Tsuda, Gunnar Rätsch, Manfred K. Warmuth
2004	J	`jnl`	Minimizing the Cross Validation Error to Mix Kernel Matrices of Heterogeneous Biological Data. Neural Process. Lett. Koji Tsuda, Shinsuke Uda, Taishin Kin, Kiyoshi Asai
2003	—	`conf`	Image Reconstruction by Linear Programming. NIPS Koji Tsuda, Gunnar Rätsch
2003	A*	`conf`	Marginalized Kernels Between Labeled Graphs. ICML Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi
2003	J	`jnl`	The em Algorithm for Kernel Matrix Completion with Auxiliary Data. J. Mach. Learn. Res. Koji Tsuda, Shotaro Akaho, Kiyoshi Asai
2002	J	`jnl`	A New Discriminative Kernel from Probabilistic Models. Neural Comput. Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller
2002	J	`jnl`	Approximating Incomplete Kernel Matrices by the em Algorithm CoRR Koji Tsuda, Shotaro Akaho, Kiyoshi Asai
2002	—	`conf`	Clustering with the Fisher Score. NIPS Koji Tsuda, Motoaki Kawanabe, Klaus-Robert Müller
2002	A	`conf`	Marginalized kernels for biological sequences. ISMB Koji Tsuda, Taishin Kin, Kiyoshi Asai
2002	C	`conf`	Modeling splicing sites with pairwise correlations. ECCB Masanori Arita, Koji Tsuda, Kiyoshi Asai
2002	J	`jnl`	Subspace information criterion for nonquadratic regularizers-Model selection for sparse regressors. IEEE Trans. Neural Networks Koji Tsuda, Masashi Sugiyama, Klaus-Robert Müller
2002	C	`conf`	The Leave-One-Out Kernel. ICANN Koji Tsuda, Motoaki Kawanabe
2001	—	`conf`	A New Discriminative Kernel From Probabilistic Models. NIPS Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller
2001	J	`jnl`	An Attempt for Coloring Multichannel MR Imaging Data. IEEE Trans. Vis. Comput. Graph. Shigeru Muraki, Toshiharu Nakai, Yasuyo Kita, Koji Tsuda
2001	J	`jnl`	An introduction to kernel-based learning algorithms. IEEE Trans. Neural Networks Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf
2001	C	`conf`	Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers. ICANN Koji Tsuda, Gunnar Rätsch, Sebastian Mika, Klaus-Robert Müller
2001	—	`conf`	Pairwise Coupling for Machine Recognition of Hand-Printed Japanese Characters. CVPR (1) Volker Roth, Koji Tsuda
2001	J	`jnl`	The subspace method in Hilbert space. Syst. Comput. Jpn. Koji Tsuda
2000	—	`conf`	Large Margin Classifier via Semiparametric Inference. IJCNN (2) Koji Tsuda, Shotaro Akaho
1999	B	`conf`	Subspace classifier in reproducing kernel Hilbert space. IJCNN Koji Tsuda
1999	J	`jnl`	Subspace classifier in the Hilbert space. Pattern Recognit. Lett. Koji Tsuda
1999	B	`conf`	Support vector classifier with asymetric kernel function. ESANN Koji Tsuda
1998	Misc	`conf`	Pattern Recognition Method for Metric Space by Four Points Embedding. IVCNZ Hideya Yoshiuchi, Koji Tsuda, Shigenobu Fukushima, Michihiko Minoh
1997	A	`conf`	A Nonparametric Density Model for Classification in a High Dimensional Space. ICDAR Koji Tsuda, Michihiko Minoh
1997	J	`jnl`	Sequential fuzzy cluster extraction and its robustness against noise. Syst. Comput. Jpn. Koji Tsuda, Shuji Senda, Michihiko Minoh, Katsuo Ikeda
1996	J	`jnl`	Extracting straight lines by sequential fuzzy clustering. Pattern Recognit. Lett. Koji Tsuda, Michihiko Minoh, Katsuo Ikeda
1995	A	`conf`	Clustering OCR-ed texts for browsing document image database. ICDAR Koji Tsuda, Shuji Senda, Michihiko Minoh, Katsuo Ikeda