2008 |
13 | EE | 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 |
12 | EE | Tomoya Iwakura,
Seishi Okamoto:
An Assistant Tool for Concealing Personal Information in Text.
HCI (9) 2007: 38-46 |
11 | EE | Tomoya Iwakura,
Kanji Uchino,
Seishi Okamoto:
An Assistant Interface for Finding Query-Related Proper Nouns.
KES (2) 2007: 1238-1245 |
2006 |
10 | EE | Jun Wang,
Kanji Uchino,
Tetsuro Takahashi,
Seishi Okamoto:
RSS Feed Generation from Legacy HTML Pages.
APWeb 2006: 1071-1082 |
2003 |
9 | EE | Seishi Okamoto,
Nobuhiro Yugami:
Effects of domain characteristics on instance-based learning algorithms.
Theor. Comput. Sci. 1(298): 207-233 (2003) |
2000 |
8 | | Seishi Okamoto,
Nobuhiro Yugami:
Generalized Average-Case Analyses of the Nearest Neighbor Algorithm.
ICML 2000: 695-702 |
7 | | Nobuhiro Yugami,
Yuiko Ohta,
Seishi Okamoto:
Fast Discovery of Interesting Rules.
PAKDD 2000: 17-28 |
1998 |
6 | EE | Nobuhiro Yugami,
Yuiko Ohta,
Seishi Okamoto:
Instance Guided Rule Induction.
Discovery Science 1998: 210-219 |
1997 |
5 | | Seishi Okamoto,
Nobuhiro Yugami:
Theoretical Analysis of Case Retrieval Method Based on Neighborhood of a New Problem.
ICCBR 1997: 349-358 |
4 | | Seishi Okamoto,
Nobuhiro Yugami:
An Average-Case Analysis of the k-Nearest Neighbar Classifier for Noisy Domains.
IJCAI (1) 1997: 238-245 |
1996 |
3 | | Seishi Okamoto,
Nobuhiro Yugami:
Theoretical Analysis of the Nearest Neighbor Classifier in Noisy Domains.
ICML 1996: 355-363 |
1995 |
2 | | Seishi Okamoto,
Ken Satoh:
An Average-Case Analysis of k-Nearest Neighbor Classifier.
ICCBR 1995: 253-264 |
1994 |
1 | | Seishi Okamoto,
Ken Satoh:
An Average Predictive Accuracy of the Nearest Neighbor Classifier.
EWCBR 1994: 101-112 |