Koji Tsuda

According to our database1, Koji Tsuda
  • authored at least 105 papers between 1995 and 2017.
  • has a "Dijkstra number"2 of five.

Timeline

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On csauthors.net:

Bibliography

2017
ChemTS: An Efficient Python Library for de novo Molecular Generation.
CoRR, 2017

Tensor Balancing on Statistical Manifold.
CoRR, 2017

Selective Inference for Sparse High-Order Interaction Models.
Proceedings of the 34th International Conference on Machine Learning, 2017

Tensor Balancing on Statistical Manifold.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Information Decomposition on Structured Space.
CoRR, 2016

CellTree: an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq data.
BMC Bioinformatics, 2016

LAMPLINK: detection of statistically significant SNP combinations from GWAS data.
Bioinformatics, 2016

Significant Pattern Mining with Confounding Variables.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Information decomposition on structured space.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2015
Redesigning pattern mining algorithms for supercomputers.
CoRR, 2015

Superset Generation on Decision Diagrams.
Proceedings of the WALCOM: Algorithms and Computation - 9th International Workshop, 2015

Privacy-Preserving Statistical Analysis by Exact Logistic Regression.
Proceedings of the 2015 IEEE Symposium on Security and Privacy Workshops, 2015

BDD construction for all solutions SAT and efficient caching mechanism.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Distribution Loss Minimization With Guaranteed Error Bound.
IEEE Trans. Smart Grid, 2014

Oblivious Evaluation of Non-deterministic Finite Automata with Application to Privacy-Preserving Virus Genome Detection.
Proceedings of the 13th Workshop on Privacy in the Electronic Society, 2014

DenseZDD: A Compact and Fast Index for Families of Sets.
Proceedings of the Experimental Algorithms - 13th International Symposium, 2014

Statistically significant subgraphs for genome-wide association study.
Proceedings of the 1st ECML/PKDD Workshop on Statistically Sound Data Mining, 2014

A Fast Method of Statistical Assessment for Combinatorial Hypotheses Based on Frequent Itemset Enumeration.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Online matrix prediction for sparse loss matrices.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2013
Efficient Error-tolerant Query Autocompletion.
PVLDB, 2013

Fast Iterative Mining Using Sparsity-Inducing Loss Functions.
IEICE Transactions, 2013

Discovering combinatorial interactions in survival data.
Bioinformatics, 2013

Compact Complete Inverted Files for Texts and Directed Acyclic Graphs Based on Sequence Binary Decision Diagrams .
Proceedings of the Prague Stringology Conference 2013, Prague, Czech Republic, 2013

Fast Westfall-Young permutation procedure for combinatorial regulation discovery.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
PoSSuM: a database of similar protein-ligand binding and putative pockets.
Nucleic Acids Research, 2012

Data Mining for Biologists.
IJKDB, 2012

2011
Multi-way set enumeration in weight tensors.
Machine Learning, 2011

LGM: Mining Frequent Subgraphs from Linear Graphs
CoRR, 2011

SlideSort: all pairs similarity search for short reads.
Bioinformatics, 2011

Kernel-based Similarity Search in Massive Graph Databases with Wavelet Trees.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

LGM: Mining Frequent Subgraphs from Linear Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Second Workshop on Algorithms for Large-Scale Information Processing in Knowledge Discovery (ALSIP).
Proceedings of the New Frontiers in Artificial Intelligence, 2011

Matrix Decomposition-based Dimensionality Reduction on Graph Data.
Proceedings of the Graph Data Management: Techniques and Applications., 2011

Graph Classification Methods in Chemoinformatics.
Proceedings of the Handbook of Statistical Bioinformatics., 2011

2010
Graph Classification.
Proceedings of the Managing and Mining Graph Data, 2010

Single versus Multiple Sorting in All Pairs Similarity Search.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Cartesian Kernel: An Efficient Alternative to the Pairwise Kernel.
IEICE Transactions, 2010

Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism.
BMC Bioinformatics, 2010

2009
gBoost: a mathematical programming approach to graph classification and regression.
Machine Learning, 2009

Protein functional class prediction with a combined graph.
Expert Syst. Appl., 2009

Efficient Construction of Neighborhood Graphs by the Multiple Sorting Method
CoRR, 2009

Efficiently finding genome-wide three-way gene interactions from transcript- and genotype-data.
Bioinformatics, 2009

Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach.
Bioinformatics, 2009

Enumeration of condition-dependent dense modules in protein interaction networks.
Bioinformatics, 2009

The DICS repository: module-assisted analysis of disease-related gene lists.
Bioinformatics, 2009

Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
Proceedings of the SIAM International Conference on Data Mining, 2009

A Bayesian Approach to Graphy Regression with Relevant Subgraph Selection.
Proceedings of the SIAM International Conference on Data Mining, 2009

On Pairwise Kernels: An Efficient Alternative and Generalization Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Submodularity Cuts and Applications.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Multi-way set enumeration in real-valued tensors.
Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining using Matrices and Tensors, 2009

2008
Graph Mining with Variational Dirichlet Process Mixture Models.
Proceedings of the SIAM International Conference on Data Mining, 2008

Partial least squares regression for graph mining.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Iterative Subgraph Mining for Principal Component Analysis.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Frequent Subgraph Retrieval in Geometric Graph Databases.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Bayesian Inference and Optimal Design in the Sparse Linear Model.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models.
BMC Systems Biology, 2007

Mining expression-dependent modules in the human interaction network.
BMC Bioinformatics, 2007

NIPS workshop on New Problems and Methods in Computational Biology.
BMC Bioinformatics, 2007

Mining complex genotypic features for predicting HIV-1 drug resistance.
Bioinformatics, 2007

Change-Point Detection using Krylov Subspace Learning.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Weighted Substructure Mining for Image Analysis.
Proceedings of the Mining and Learning with Graphs, 2007

Entire regularization paths for graph data.
Proceedings of the Machine Learning, 2007

Discriminative Subsequence Mining for Action Classification.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Weighted Substructure Mining for Image Analysis.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Network-based de-noising improves prediction from microarray data.
BMC Bioinformatics, 2006

SCARNA: fast and accurate structural alignment of RNA sequences by matching fixed-length stem fragments.
Bioinformatics, 2006

Mining frequent stem patterns from unaligned RNA sequences.
Bioinformatics, 2006

Clustering graphs by weighted substructure mining.
Proceedings of the Machine Learning, 2006

2005
Image reconstruction by linear programming.
IEEE Trans. Image Processing, 2005

Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection.
Journal of Machine Learning Research, 2005

Selective integration of multiple biological data for supervised network inference.
Bioinformatics, 2005

Propagating distributions on a hypergraph by dual information regularization.
Proceedings of the Machine Learning, 2005

Fast protein classification with multiple networks.
Proceedings of the ECCB/JBI'05 Proceedings, Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network (Jornadas de BioInformática), Palacio de Congresos, Madrid, Spain, September 28, 2005

2004
Minimizing the Cross Validation Error to Mix Kernel Matrices of Heterogeneous Biological Data.
Neural Processing Letters, 2004

Asymptotic Properties of the Fisher Kernel.
Neural Computation, 2004

A New Variational Framework for Rigid-Body Alignment.
Proceedings of the Structural, 2004

Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Learning kernels from biological networks by maximizing entropy.
Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004

Learning to Find Graph Pre-images.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

2003
The em Algorithm for Kernel Matrix Completion with Auxiliary Data.
Journal of Machine Learning Research, 2003

Image Reconstruction by Linear Programming.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Marginalized Kernels Between Labeled Graphs.
Proceedings of the Machine Learning, 2003

2002
Subspace information criterion for nonquadratic regularizers-Model selection for sparse regressors.
IEEE Trans. Neural Networks, 2002

A New Discriminative Kernel from Probabilistic Models.
Neural Computation, 2002

Approximating Incomplete Kernel Matrices by the em Algorithm
CoRR, 2002

Clustering with the Fisher Score.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Marginalized kernels for biological sequences.
Proceedings of the Tenth International Conference on Intelligent Systems for Molecular Biology, 2002

The Leave-One-Out Kernel.
Proceedings of the Artificial Neural Networks, 2002

Modeling splicing sites with pairwise correlations.
Proceedings of the European Conference on Computational Biology (ECCB 2002), 2002

2001
An Attempt for Coloring Multichannel MR Imaging Data.
IEEE Trans. Vis. Comput. Graph., 2001

An introduction to kernel-based learning algorithms.
IEEE Trans. Neural Networks, 2001

The subspace method in Hilbert space.
Systems and Computers in Japan, 2001

A New Discriminative Kernel From Probabilistic Models.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers.
Proceedings of the Artificial Neural Networks, 2001

Pairwise Coupling for Machine Recognition of Hand-Printed Japanese Characters.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000
Large Margin Classifier via Semiparametric Inference.
IJCNN (2), 2000

1999
Subspace classifier in the Hilbert space.
Pattern Recognition Letters, 1999

Support vector classifier with asymetric kernel function.
Proceedings of the ESANN 1999, 1999

1998
Pattern Recognition Method for Metric Space by Four Points Embedding.
Proceedings of the Image and Vision Computing New Zealand, International Conference, 1998

1997
Sequential fuzzy cluster extraction and its robustness against noise.
Systems and Computers in Japan, 1997

A Nonparametric Density Model for Classification in a High Dimensional Space.
Proceedings of the 4th International Conference Document Analysis and Recognition (ICDAR '97), 1997

1996
Extracting straight lines by sequential fuzzy clustering.
Pattern Recognition Letters, 1996

1995
Clustering OCR-ed texts for browsing document image database.
Proceedings of the Third International Conference on Document Analysis and Recognition, 1995


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