Hiroshi Mamitsuka

According to our database1, Hiroshi Mamitsuka
  • authored at least 104 papers between 1992 and 2018.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2018
Factor Analysis on a Graph.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Generalized Sparse Learning of Linear Models Over the Complete Subgraph Feature Set.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Adaptive edge weighting for graph-based learning algorithms.
Machine Learning, 2017

Computational recognition for long non-coding RNA (lncRNA): Software and databases.
Briefings in Bioinformatics, 2017

Exploring phenotype patterns of breast cancer within somatic mutations: a modicum in the intrinsic code.
Briefings in Bioinformatics, 2017

Convex Factorization Machine for Toxicogenomics Prediction.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Introduction to the special issue on GIW 2016.
J. Bioinformatics and Computational Biology, 2016

Mining approximate patterns with frequent locally optimal occurrences.
Discrete Applied Mathematics, 2016

DrugE-Rank: improving drug-target interaction prediction of new candidate drugs or targets by ensemble learning to rank.
Bioinformatics, 2016

DeepMeSH: deep semantic representation for improving large-scale MeSH indexing.
Bioinformatics, 2016

NMRPro: an integrated web component for interactive processing and visualization of NMR spectra.
Bioinformatics, 2016

Current status and prospects of computational resources for natural product dereplication: a review.
Briefings in Bioinformatics, 2016

A Robust Convex Formulation for Ensemble Clustering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

New Resistance Distances with Global Information on Large Graphs.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Non-Negative Matrix Factorization with Auxiliary Information on Overlapping Groups.
IEEE Trans. Knowl. Data Eng., 2015

BMExpert: Mining MEDLINE for Finding Experts in Biomedical Domains Based on Language Model.
IEEE/ACM Trans. Comput. Biology Bioinform., 2015

MeSHSim: An R/Bioconductor package for measuring semantic similarity over MeSH headings and MEDLINE documents.
J. Bioinformatics and Computational Biology, 2015

MeSHLabeler: improving the accuracy of large-scale MeSH indexing by integrating diverse evidence.
Bioinformatics, 2015

Instance-Wise Weighted Nonnegative Matrix Factorization for Aggregating Partitions with Locally Reliable Clusters.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Selecting Graph Cut Solutions via Global Graph Similarity.
IEEE Trans. Neural Netw. Learning Syst., 2014

Detecting Differentially Coexpressed Genesfrom Labeled Expression Data: A Brief Review.
IEEE/ACM Trans. Comput. Biology Bioinform., 2014

NetPathMiner: R/Bioconductor package for network path mining through gene expression.
Bioinformatics, 2014

Similarity-based machine learning methods for predicting drug-target interactions: a brief review.
Briefings in Bioinformatics, 2014

2013
Multiple Graph Label Propagation by Sparse Integration.
IEEE Trans. Neural Netw. Learning Syst., 2013

Efficient Semisupervised MEDLINE Document Clustering With MeSH-Semantic and Global-Content Constraints.
IEEE Trans. Cybernetics, 2013

Fast algorithms for finding a minimum repetition representation of strings and trees.
Discrete Applied Mathematics, 2013

Manifold-based Similarity Adaptation for Label Propagation.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Variational Bayes co-clustering with auxiliary information.
Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, 2013

Collaborative matrix factorization with multiple similarities for predicting drug-target interactions.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
Mining from protein-protein interactions.
Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery, 2012

Latent Feature Kernels for Link Prediction on Sparse Graphs.
IEEE Trans. Neural Netw. Learning Syst., 2012

Boosted Network Classifiers for Local Feature Selection.
IEEE Trans. Neural Netw. Learning Syst., 2012

A Variational Bayesian Framework for Clustering with Multiple Graphs.
IEEE Trans. Knowl. Data Eng., 2012

Efficient semi-supervised learning on locally informative multiple graphs.
Pattern Recognition, 2012

A review of statistical methods for prediction of proteolytic cleavage.
Briefings in Bioinformatics, 2012

Toward more accurate pan-specific MHC-peptide binding prediction: a review of current methods and tools.
Briefings in Bioinformatics, 2012

2011
Clustering genes with expression and beyond.
Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery, 2011

Discriminative Graph Embedding for Label Propagation.
IEEE Trans. Neural Networks, 2011

A spectral approach to clustering numerical vectors as nodes in a network.
Pattern Recognition, 2011

Efficiently mining δ-tolerance closed frequent subgraphs.
Machine Learning, 2011

Kernels for Link Prediction with Latent Feature Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010
MetaMHC: a meta approach to predict peptides binding to MHC molecules.
Nucleic Acids Research, 2010

On network-based kernel methods for protein-protein interactions with applications in protein functions prediction.
J. Systems Science & Complexity, 2010

Boosted Optimization for Network Classification.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Mining metabolic pathways through gene expression.
Bioinformatics, 2010

A markov classification model for metabolic pathways.
Algorithms for Molecular Biology, 2010

Algorithms for Finding a Minimum Repetition Representation of a String.
Proceedings of the String Processing and Information Retrieval, 2010

2009
HAMSTER: visualizing microarray experiments as a set of minimum spanning trees.
Source Code for Biology and Medicine, 2009

Field independent probabilistic model for clustering multi-field documents.
Inf. Process. Manage., 2009

Enhancing MEDLINE document clustering by incorporating MeSH semantic similarity.
Bioinformatics, 2009

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

A Markov Classification Model for Metabolic Pathways.
Proceedings of the Algorithms in Bioinformatics, 9th International Workshop, 2009

Efficient Probabilistic Latent Semantic Analysis through Parallelization.
Proceedings of the Information Retrieval Technology, 2009

2008
A new efficient probabilistic model for mining labeled ordered trees applied to glycobiology.
TKDD, 2008

Probabilistic path ranking based on adjacent pairwise coexpression for metabolic transcripts analysis.
Bioinformatics, 2008

Mining significant tree patterns in carbohydrate sugar chains.
Proceedings of the ECCB'08 Proceedings, 2008

2007
Active ensemble learning: Application to data mining and bioinformatics.
Systems and Computers in Japan, 2007

Predicting implicit associated cancer genes from OMIM and MEDLINE by a new probabilistic model.
BMC Systems Biology, 2007

A hidden Markov model-based approach for identifying timing differences in gene expression under different experimental factors.
Bioinformatics, 2007

Passage Retrieval with Vector Space and Query-Level Aspect Models.
Proceedings of The Sixteenth Text REtrieval Conference, 2007

A spectral clustering approach to optimally combining numericalvectors with a modular network.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Annotating gene function by combining expression data with a modular gene network.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

A Probabilistic Model for Clustering Text Documents with Multiple Fields.
Proceedings of the Advances in Information Retrieval, 2007

2006
Selecting features in microarray classification using ROC curves.
Pattern Recognition, 2006

Query-learning-based iterative feature-subset selection for learning from high-dimensional data sets.
Knowl. Inf. Syst., 2006

Improving MHC binding peptide prediction by incorporating binding data of auxiliary MHC molecules.
Bioinformatics, 2006

Applying Gaussian Distribution-Dependent Criteria to Decision Trees for High-Dimensional Microarray Data.
Proceedings of the Data Mining and Bioinformatics, First International Workshop, 2006

Combining Vector-Space and Word-Based Aspect Models for Passage Retrieval.
Proceedings of the Fifteenth Text REtrieval Conference, 2006

A new efficient probabilistic model for mining labeled ordered trees.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

ProfilePSTMM: capturing tree-structure motifs in carbohydrate sugar chains.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

2005
A Probabilistic Model for Mining Labeled Ordered Trees: Capturing Patterns in Carbohydrate Sugar Chains.
IEEE Trans. Knowl. Data Eng., 2005

Essential Latent Knowledge for Protein-Protein Interactions: Analysis by an Unsupervised Learning Approach.
IEEE/ACM Trans. Comput. Biology Bioinform., 2005

A score matrix to reveal the hidden links in glycans.
Bioinformatics, 2005

Finding the biologically optimal alignment of multiple sequences.
Artificial Intelligence in Medicine, 2005

Computational intelligence in solving bioinformatics problems.
Artificial Intelligence in Medicine, 2005

Cleaning microarray expression data using Markov random fields based on profile similarity.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

A probabilistic model for mining implicit 'chemical compound-gene' relations from literature.
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
Managing and Analyzing Carbohydrate Data.
SIGMOD Record, 2004

KCaM (KEGG Carbohydrate Matcher): a software tool for analyzing the structures of carbohydrate sugar chains.
Nucleic Acids Research, 2004

Finding the maximum common subgraph of a partial k-tree and a graph with a polynomially bounded number of spanning trees.
Inf. Process. Lett., 2004

A General Probabilistic Framework for Mining Labeled Ordered Trees.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Application of a new probabilistic model for recognizing complex patterns in glycans.
Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004

A Hierarchical Mixture of Markov Models for Finding Biologically Active Metabolic Paths Using Gene Expression and Protein Classes.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

2003
Mining biologically active patterns in metabolic pathways using microarray expression profiles.
SIGKDD Explorations, 2003

Efficient Unsupervised Mining from Noisy Data Sets: Application to Clustering Co-occurrence Data.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

Finding the Maximum Common Subgraph of a Partial k-Tree and a Graph with a Polynomially Bounded Number of Spanning Trees.
Proceedings of the Algorithms and Computation, 14th International Symposium, 2003

Selective Sampling with a Hierarchical Latent Variable Model.
Proceedings of the Advances in Intelligent Data Analysis V, 2003

Hierarchical Latent Knowledge Analysis for Co-occurrence Data.
Proceedings of the Machine Learning, 2003

Efficient Mining from Heterogeneous Data Sets for Predicting Protein-Protein Interactions.
Proceedings of the 14th International Workshop on Database and Expert Systems Applications (DEXA'03), 2003

Detecting Experimental Noises in Protein-Protein Interactions with Iterative Sampling and Model-Based Clustering.
Proceedings of the 3rd IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2003), 2003

Empirical Evaluation of Ensemble Feature Subset Selection Methods for Learning from a High-Dimensional Database in Drug Desig.
Proceedings of the 3rd IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2003), 2003

2002
Iteratively Selecting Feature Subsets for Mining from High-Dimensional Databases.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Efficient Data Mining by Active Learning.
Proceedings of the Progress in Discovery Science, 2002

2000
Efficient Mining from Large Databases by Query Learning.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1998
Query Learning Strategies Using Boosting and Bagging.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Empirical Comparison of Competing Query Learning Methods.
Proceedings of the Discovery Science, 1998

1997
Predicting Protein Secondary Structure Using Stochastic Tree Grammars.
Machine Learning, 1997

Supervised learning of hidden Markov models for sequence discrimination.
Proceedings of the First Annual International Conference on Research in Computational Molecular Biology, 1997

1996
A Learning Method of Hidden Markov Models for Sequence Discrimination.
Journal of Computational Biology, 1996

1995
alpha-Helix region prediction with stochastic rule learning.
Computer Applications in the Biosciences, 1995

Representing inter-residue dependencies in protein sequences with probabilistic networks.
Computer Applications in the Biosciences, 1995

1994
Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars.
Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology, 1994

A New Method for Predicting Protein Secondary Structures Based on Stochastic Tree Grammars.
Proceedings of the Machine Learning, 1994

1992
Protein Secondary Structure Prediction Based on Stochastic-Rule Learning.
Proceedings of the Algorithmic Learning Theory, Third Workshop, 1992


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