| 2012 | ||
|---|---|---|
| j2 | Satoshi Yoshida, Takashi Uemura, Takuya Kida, Tatsuya Asai, Seishi Okamoto: Improving Parse Trees for Efficient Variable-to-Fixed Length Codes. JIP 20(1): 238-249 (2012) | |
| 2010 | ||
| c16 | Tatsuya Asai, Shin-ichiro Tago, Hiroya Inakoshi, Seishi Okamoto, Masayuki Takeda: Chimera: Stream-Oriented XML Filtering/Querying Engine. DASFAA (2) 2010: 380-391 | |
| c15 | Tadanobu Furukawa, Seishi Okamoto, Yutaka Matsuo, Mitsuru Ishizuka: Prediction of social bookmarking based on a behavior transition model. SAC 2010: 1741-1747 | |
| c14 | Takashi Uemura, Satoshi Yoshida, Takuya Kida, Tatsuya Asai, Seishi Okamoto: Training Parse Trees for Efficient VF Coding. SPIRE 2010: 179-184 | |
| 2009 | ||
| c13 | Takahisa Ando, Satoko Shiga, Tomoya Iwakura, Seishi Okamoto: Facilitating Search through Visualized Results. HCI (8) 2009: 339-344 | |
| 2008 | ||
| c12 | Tatsuya Asai, Seishi Okamoto, Hiroki Arimura: An Adaptive Algorithm for Splitting Large Sets of Strings and Its Application to Efficient External Sorting. PAKDD Workshops 2008: 13-25 | |
| 2007 | ||
| c11 | Tomoya Iwakura, Seishi Okamoto: An Assistant Tool for Concealing Personal Information in Text. HCI (9) 2007: 38-46 | |
| c10 | Tomoya Iwakura, Kanji Uchino, Seishi Okamoto: An Assistant Interface for Finding Query-Related Proper Nouns. KES (2) 2007: 1238-1245 | |
| 2006 | ||
| c9 | Jun Wang, Kanji Uchino, Tetsuro Takahashi, Seishi Okamoto: RSS Feed Generation from Legacy HTML Pages. APWeb 2006: 1071-1082 | |
| 2003 | ||
| j1 | Seishi Okamoto, Nobuhiro Yugami: Effects of domain characteristics on instance-based learning algorithms. Theor. Comput. Sci. 1(298): 207-233 (2003) | |
| 2000 | ||
| c8 | Seishi Okamoto, Nobuhiro Yugami: Generalized Average-Case Analyses of the Nearest Neighbor Algorithm. ICML 2000: 695-702 | |
| c7 | ||
| 1998 | ||
| c6 | Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto: Instance Guided Rule Induction. Discovery Science 1998: 210-219 | |
| 1997 | ||
| c5 | Seishi Okamoto, Nobuhiro Yugami: Theoretical Analysis of Case Retrieval Method Based on Neighborhood of a New Problem. ICCBR 1997: 349-358 | |
| c4 | Seishi Okamoto, Nobuhiro Yugami: An Average-Case Analysis of the k-Nearest Neighbar Classifier for Noisy Domains. IJCAI (1) 1997: 238-245 | |
| 1996 | ||
| c3 | Seishi Okamoto, Nobuhiro Yugami: Theoretical Analysis of the Nearest Neighbor Classifier in Noisy Domains. ICML 1996: 355-363 | |
| 1995 | ||
| c2 | Seishi Okamoto, Ken Satoh: An Average-Case Analysis of k-Nearest Neighbor Classifier. ICCBR 1995: 253-264 | |
| 1994 | ||
| c1 | Seishi Okamoto, Ken Satoh: An Average Predictive Accuracy of the Nearest Neighbor Classifier. EWCBR 1994: 101-112 | |
Colors in the list of coauthors
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