| 2016 | EDBT | Extraction Algorithms for Hierarchical Header Structures from Spreadsheets. | Keisuke Goto, Yuiko Ohta, Hiroya Inakoshi, Nobuhiro Yugami |
| 2014 | DASFAA | Discovery of Areas with Locally Maximal Confidence from Location Data. | Hiroya Inakoshi, Hiroaki Morikawa, Tatsuya Asai, Nobuhiro Yugami, Seishi Okamoto |
| 2014 | PAKDD | MultiAspectSpotting: Spotting Anomalous Behavior within Count Data Using Tensor. | Koji Maruhashi, Nobuhiro Yugami |
| 2012 | ICDM | EigenSP: A More Accurate Shortest Path Distance Estimation on Large-Scale Networks. | Koji Maruhashi, Junichi Shigezumi, Nobuhiro Yugami, Christos Faloutsos |
| 2003 | DIS | Mining Interesting Patterns Using Estimated Frequencies from Subpatterns and Superpatterns. | Yukiko Yoshida, Yuiko Ohta, Kenichi Kobayashi, Nobuhiro Yugami |
| 2000 | DIS | Discovery of M-of-N Concepts for Classification. | Nobuhiro Yugami |
| 2000 | ICML | Generalized Average-Case Analyses of the Nearest Neighbor Algorithm. | Seishi Okamoto, Nobuhiro Yugami |
| 2000 | PAKDD | Fast Discovery of Interesting Rules. | Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto |
| 1998 | DIS | Instance Guided Rule Induction. | Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto |
| 1997 | ICCBR | Theoretical Analysis of Case Retrieval Method Based on Neighborhood of a New Problem. | Seishi Okamoto, Nobuhiro Yugami |
| 1997 | IJCAI | An Average-Case Analysis of the k-Nearest Neighbar Classifier for Noisy Domains. | Seishi Okamoto, Nobuhiro Yugami |
| 1996 | ICML | Theoretical Analysis of the Nearest Neighbor Classifier in Noisy Domains. | Seishi Okamoto, Nobuhiro Yugami |
| 1995 | IJCAI | Theoretical Analysis of Davis-Putnam Procedure and Propositional Satisfiability. | Nobuhiro Yugami |
| 1994 | AAAI | Improving Repair-Based Constraint Satisfaction Methods by Value Propagation. | Nobuhiro Yugami, Yuiko Ohta, Hirotaka Hara |