Nobuhiro Yugami

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 3

Top Topics

Anomalous Behavior

Relational Data

Low Dimensional Spaces

Top Venues

Int. J. Medical Informatics

Publications

Xincan Feng, Zhi Qu, Yuchang Cheng, Taro Watanabe, Nobuhiro Yugami
Sharing Parameter by Conjugation for Knowledge Graph Embeddings in Complex Space. CoRR (2024)
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)
Keisuke Goto, Yuiko Ohta, Hiroya Inakoshi, Nobuhiro Yugami
Extraction Algorithms for Hierarchical Header Structures from Spreadsheets. EDBT/ICDT Workshops (2016)
Hiroya Inakoshi, Hiroaki Morikawa, Tatsuya Asai, Nobuhiro Yugami, Seishi Okamoto
Discovery of Areas with Locally Maximal Confidence from Location Data. DASFAA (1) (2014)
Koji Maruhashi, Nobuhiro Yugami
MultiAspectSpotting: Spotting Anomalous Behavior within Count Data Using Tensor. PAKDD (2) (2014)
Koji Maruhashi, Junichi Shigezumi, Nobuhiro Yugami, Christos Faloutsos
EigenSP: A More Accurate Shortest Path Distance Estimation on Large-Scale Networks. ICDM Workshops (2012)
Seishi Okamoto, Nobuhiro Yugami
Effects of domain characteristics on instance-based learning algorithms. Theor. Comput. Sci. 298 (1) (2003)
Yukiko Yoshida, Yuiko Ohta, Kenichi Kobayashi, Nobuhiro Yugami
Mining Interesting Patterns Using Estimated Frequencies from Subpatterns and Superpatterns. Discovery Science (2003)
Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto
Fast Discovery of Interesting Rules. PAKDD (2000)
Seishi Okamoto, Nobuhiro Yugami
Generalized Average-Case Analyses of the Nearest Neighbor Algorithm. ICML (2000)
Nobuhiro Yugami
Discovery of M-of-N Concepts for Classification. Discovery Science (2000)
Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto
Instance Guided Rule Induction. Discovery Science (1998)
Seishi Okamoto, Nobuhiro Yugami
An Average-Case Analysis of the k-Nearest Neighbar Classifier for Noisy Domains. IJCAI (1) (1997)
Seishi Okamoto, Nobuhiro Yugami
Theoretical Analysis of Case Retrieval Method Based on Neighborhood of a New Problem. ICCBR (1997)
Seishi Okamoto, Nobuhiro Yugami
Theoretical Analysis of the Nearest Neighbor Classifier in Noisy Domains. ICML (1996)
Nobuhiro Yugami
Theoretical Analysis of Davis-Putnam Procedure and Propositional Satisfiability. IJCAI (1995)
Nobuhiro Yugami, Yuiko Ohta, Hirotaka Hara
Improving Repair-Based Constraint Satisfaction Methods by Value Propagation. AAAI (1994)