Yoshinori Tamada

Orcid: 0000-0003-3483-9712

According to our database1, Yoshinori Tamada authored at least 28 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction.
CoRR, 2024

A Study of the Relationship Between Driving and Health Based on Large-Scale Data Analysis Using PLSA and t-SNE.
IEEE Access, 2024

2023
Individual health-disease phase diagrams for disease prevention based on machine learning.
J. Biomed. Informatics, August, 2023

2022
<i>CBNplot</i>: Bayesian network plots for enrichment analysis.
Bioinform., 2022

2020
Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach.
Int. J. Medical Informatics, 2020

2018
Memory efficient parallel algorithm for optimal DAG structure search using direct communication.
J. Parallel Distributed Comput., 2018

2016
Efficient Parallel Algorithm for Optimal DAG Structure Search on Parallel Computer with Torus Network.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016

2012
Computational gene network analysis reveals TNF-induced angiogenesis.
BMC Syst. Biol., 2012

2011
Estimating Genome-Wide Gene Networks Using Nonparametric Bayesian Network Models on Massively Parallel Computers.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Parallel Algorithm for Learning Optimal Bayesian Network Structure.
J. Mach. Learn. Res., 2011

SiGN-SSM: open source parallel software for estimating gene networks with state space models.
Bioinform., 2011

Computational Drug Target Pathway Discovery: A Bayesian Network Approach.
Proceedings of the Handbook of Statistical Bioinformatics., 2011

2010
Searching Optimal Bayesian Network Structure on Constraint Search Space: Super-Structure Approach.
Proceedings of the New Frontiers in Artificial Intelligence, 2010

2009
Unraveling Dynamic Activities of Autocrine Pathways that Control Drug-Response Transcriptome Networks.
Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

Gene Networks Viewed through Two Models.
Proceedings of the Bioinformatics and Computational Biology, 2009

2007
DIGDAG, a First Algorithm to Mine Closed Frequent Embedded Sub-DAGs.
Proceedings of the Mining and Learning with Graphs, 2007

2006
Computational Strategy for Discovering Druggable Gene Networks from Genome-Wide RNA Expression Profiles.
Proceedings of the Biocomputing 2006, 2006

2005
Utilizing Evolutionary Information and Gene Expression Data for Estimating Gene Networks with Bayesian Network Models.
J. Bioinform. Comput. Biol., 2005

Estimating Gene Networks from Expression Data and Binding Location Data via Boolean Networks.
Proceedings of the Computational Science and Its Applications, 2005

Estimating gene regulatory networks and protein-protein interactions of <i>Saccharomyces cerevisiae</i> from multiple genome-wide data.
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

2003
Intrasplicing - Analysis of Long Intron Sequences.
Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

Estimating gene networks from gene expression data by combining Bayesian network model with promoter element detection.
Proceedings of the European Conference on Computational Biology (ECCB 2003), 2003

2002
Fast algorithm for extracting multiple unordered short motifs using bit operations.
Inf. Sci., 2002

Extensive feature detection of N-terminal protein sorting signals.
Bioinform., 2002

Foundations of Designing Computational Knowledge Discovery Processes.
Proceedings of the Progress in Discovery Science, 2002

2001
HypothesisCreator: Concepts for Accelerating the Computational Knowledge Discovery Process.
Electron. Trans. Artif. Intell., 2001

Views: Fundamental Building Blocks in the Process of Knowledge Discovery.
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001

VML: A View Modeling Language for Computational Knowledge Discovery.
Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001


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