Nobuhiro Yugami

According to our database, Nobuhiro Yugami authored at least 16 papers between 1994 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach.

Eiichiro Uchino, Kanata Suzuki, Noriaki Sato, Ryosuke Kojima, Yoshinori Tamada, Shusuke Hiragi, Hideki Yokoi, Nobuhiro Yugami, Sachiko Minamiguchi, Hironori Haga, Motoko Yanagita, Yasushi Okuno

Int. J. Medical Informatics, 2020

2016

Extraction Algorithms for Hierarchical Header Structures from Spreadsheets.

Keisuke Goto, Yuiko Ohta, Hiroya Inakoshi, Nobuhiro Yugami

Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference, 2016

2014

MultiAspectSpotting: Spotting Anomalous Behavior within Count Data Using Tensor.

Koji Maruhashi, Nobuhiro Yugami

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Discovery of Areas with Locally Maximal Confidence from Location Data.

Hiroya Inakoshi, Hiroaki Morikawa, Tatsuya Asai, Nobuhiro Yugami, Seishi Okamoto

Proceedings of the Database Systems for Advanced Applications, 2014

2012

EigenSP: A More Accurate Shortest Path Distance Estimation on Large-Scale Networks.

Koji Maruhashi, Junichi Shigezumi, Nobuhiro Yugami, Christos Faloutsos

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2003

Effects of domain characteristics on instance-based learning algorithms.

Seishi Okamoto, Nobuhiro Yugami

Theor. Comput. Sci., 2003

Mining Interesting Patterns Using Estimated Frequencies from Subpatterns and Superpatterns.

Yukiko Yoshida, Yuiko Ohta, Kenichi Kobayashi, Nobuhiro Yugami

Proceedings of the Discovery Science, 6th International Conference, 2003

2000

Fast Discovery of Interesting Rules.

Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto

Proceedings of the Knowledge Discovery and Data Mining, 2000

Generalized Average-Case Analyses of the Nearest Neighbor Algorithm.

Seishi Okamoto, Nobuhiro Yugami

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Discovery of M-of-N Concepts for Classification.

Nobuhiro Yugami

Proceedings of the Discovery Science, 2000

1998

Instance Guided Rule Induction.

Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto

Proceedings of the Discovery Science, 1998

1997

An Average-Case Analysis of the k-Nearest Neighbar Classifier for Noisy Domains.

Seishi Okamoto, Nobuhiro Yugami

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Theoretical Analysis of Case Retrieval Method Based on Neighborhood of a New Problem.

Seishi Okamoto, Nobuhiro Yugami

Proceedings of the Case-Based Reasoning Research and Development, 1997

1996

Theoretical Analysis of the Nearest Neighbor Classifier in Noisy Domains.

Seishi Okamoto, Nobuhiro Yugami

Proceedings of the Machine Learning, 1996

1995

Theoretical Analysis of Davis-Putnam Procedure and Propositional Satisfiability.

Nobuhiro Yugami

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994

Improving Repair-Based Constraint Satisfaction Methods by Value Propagation.

Nobuhiro Yugami, Yuiko Ohta, Hirotaka Hara

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994