Yoshinori Tamada

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 8

Top Topics

Early Diagnosis

Parallel Algorithm

Memory Efficient

Top Venues

Int. J. Medical Informatics

Publications

Taisei Tosaki, Eiichiro Uchino, Ryosuke Kojima, Yohei Mineharu, Mikio Arita, Nobuyuki Miyai, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno
Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction. CoRR (2024)
Mitsugu Mera, Nanae Michida, Masanori Honda, Kazuo Sakamoto, Yoshinori Tamada, Tatsuya Mikami, Shigeyuki Nakaji
A Study of the Relationship Between Driving and Health Based on Large-Scale Data Analysis Using PLSA and t-SNE. IEEE Access 12 (2024)
Kazuki Nakamura, Eiichiro Uchino, Noriaki Sato, Ayano Araki, Kei Terayama, Ryosuke Kojima, Koichi Murashita, Ken Itoh, Tatsuya Mikami, Yoshinori Tamada, Yasushi Okuno
Individual health-disease phase diagrams for disease prevention based on machine learning. J. Biomed. Informatics 144 (2023)
Kazuki Nakamura, Eiichiro Uchino, Noriaki Sato, Ayano Araki, Kei Terayama, Ryosuke Kojima, Koichi Murashita, Ken Itoh, Tatsuya Mikami, Yoshinori Tamada, Yasushi Okuno
Individual health-disease phase diagrams for disease prevention based on machine learning. CoRR (2022)
Noriaki Sato, Yoshinori Tamada, Guangchuang Yu, Yasushi Okuno
: Bayesian network plots for enrichment analysis. Bioinform. 38 (10) (2022)
Eiichiro Uchino, Kanata Suzuki, Noriaki Sato, Ryosuke Kojima, Yoshinori Tamada, Shusuke Hiragi, Hideki Yokoi, Nobuhiro Yugami, Sachiko Minamiguchi, Hironori Haga, Motoko Yanagita, Yasushi Okuno
Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach. Int. J. Medical Informatics 141 (2020)
Yoshinori Tamada
Memory efficient parallel algorithm for optimal DAG structure search using direct communication. J. Parallel Distributed Comput. 119 (2018)
Hirokazu Honda, Yoshinori Tamada, Reiji Suda
Efficient Parallel Algorithm for Optimal DAG Structure Search on Parallel Computer with Torus Network. ICA3PP (2016)
Kentaro Ogami, Rui Yamaguchi, Seiya Imoto, Yoshinori Tamada, Hiromitsu Araki, Cristin G. Print, Satoru Miyano
Computational gene network analysis reveals TNF-induced angiogenesis. BMC Syst. Biol. 6 (S-2) (2012)
Yoshinori Tamada, Seiya Imoto, Satoru Miyano
Parallel Algorithm for Learning Optimal Bayesian Network Structure. J. Mach. Learn. Res. 12 (2011)
Yoshinori Tamada, Seiya Imoto, Hiromitsu Araki, Masao Nagasaki, Cristin G. Print, Stephen D. Charnock-Jones, Satoru Miyano
Estimating Genome-Wide Gene Networks Using Nonparametric Bayesian Network Models on Massively Parallel Computers. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (3) (2011)
Yoshinori Tamada, Rui Yamaguchi, Seiya Imoto, Osamu Hirose, Ryo Yoshida, Masao Nagasaki, Satoru Miyano
SiGN-SSM: open source parallel software for estimating gene networks with state space models. Bioinform. 27 (8) (2011)
Seiya Imoto, Kaname Kojima, Eric Perrier, Yoshinori Tamada, Satoru Miyano
Searching Optimal Bayesian Network Structure on Constraint Search Space: Super-Structure Approach. JSAI-isAI Workshops (2010)
Yoshinori Tamada, Hiromitsu Araki, Seiya Imoto, Masao Nagasaki, Atsushi Doi, Yukiko Nakanishi, Yuki Tomiyasu, Kaori Yasuda, Ben Dunmore, Deborah Sanders, Sally Humphreys, Cristin G. Print, Stephen D. Charnock-Jones, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano
Unraveling Dynamic Activities of Autocrine Pathways that Control Drug-Response Transcriptome Networks. Pacific Symposium on Biocomputing (2009)
Satoru Miyano, Rui Yamaguchi, Yoshinori Tamada, Masao Nagasaki, Seiya Imoto
Gene Networks Viewed through Two Models. BICoB (2009)
Alexandre Termier, Yoshinori Tamada, Kazuyuki Numata, Seiya Imoto, Takashi Washio, Tomoyuki Higuchi
DIGDAG, a First Algorithm to Mine Closed Frequent Embedded Sub-DAGs. MLG (2007)
Seiya Imoto, Yoshinori Tamada, Hiromitsu Araki, Kaori Yasuda, Cristin G. Print, Stephen D. Charnock-Jones, Deborah Sanders, Christopher J. Savoie, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano
Computational Strategy for Discovering Druggable Gene Networks from Genome-Wide RNA Expression Profiles. Pacific Symposium on Biocomputing (2006)
Naoki Nariai, Yoshinori Tamada, Seiya Imoto, Satoru Miyano
from multiple genome-wide data. ECCB/JBI (2005)
Osamu Hirose, Naoki Nariai, Yoshinori Tamada, Hideo Bannai, Seiya Imoto, Satoru Miyano
Estimating Gene Networks from Expression Data and Binding Location Data via Boolean Networks. ICCSA (3) (2005)
Yoshinori Tamada, Hideo Bannai, Seiya Imoto, Toshiaki Katayama, Minoru Kanehisa, Satoru Miyano
Utilizing Evolutionary Information and Gene Expression Data for Estimating Gene Networks with Bayesian Network Models. J. Bioinform. Comput. Biol. 3 (6) (2005)
Yoshinori Tamada, SunYong Kim, Hideo Bannai, Seiya Imoto, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano
Estimating gene networks from gene expression data by combining Bayesian network model with promoter element detection. ECCB (2003)
Sascha Ott, Yoshinori Tamada, Hideo Bannai, Kenta Nakai, Satoru Miyano
Intrasplicing - Analysis of Long Intron Sequences. Pacific Symposium on Biocomputing (2003)
Hideo Bannai, Yoshinori Tamada, Osamu Maruyama, Kenta Nakai, Satoru Miyano
Extensive feature detection of N-terminal protein sorting signals. Bioinform. 18 (2) (2002)
Osamu Maruyama, Hideo Bannai, Yoshinori Tamada, Satoru Kuhara, Satoru Miyano
Fast algorithm for extracting multiple unordered short motifs using bit operations. Inf. Sci. 146 (1-4) (2002)
Osamu Maruyama, Satoru Kuhara, Hideo Bannai, Satoru Miyano, Yoshinori Tamada
Fast Algorithm for Extracting Multiple Unordered Short Motifs Using Bit Operations. JCIS (2002)
Yoshinori Tamada, Hideo Bannai, Osamu Maruyama, Satoru Miyano
Foundations of Designing Computational Knowledge Discovery Processes. Progress in Discovery Science (2002)
Hideo Bannai, Yoshinori Tamada, Osamu Maruyama, Kenta Nakai, Satoru Miyano
Views: Fundamental Building Blocks in the Process of Knowledge Discovery. FLAIRS Conference (2001)
Hideo Bannai, Yoshinori Tamada, Osamu Maruyama, Satoru Miyano
VML: A View Modeling Language for Computational Knowledge Discovery. Discovery Science (2001)
Hideo Bannai, Yoshinori Tamada, Osamu Maruyama, Satoru Miyano
HypothesisCreator: Concepts for Accelerating the Computational Knowledge Discovery Process. Electron. Trans. Artif. Intell. 5 (B) (2001)