Seishi Okamoto

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14ranked-venue papers

6as first author

0since 2021 · last 2014

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 8 · 5 first-authorDatabases, data management, data science and information retrieval · 5Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorTheory of computation · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science 1 paper		Algorithms and data structures · 87% Computational geometry · 13%
Artificial intelligence 2 papers		Learning theory · 64% Kernel, tree and ensemble methods · 28% Trustworthy machine learning · 8%

Topics — the 7 heaviest of 7, each with the papers that count most for it

Topic	Papers	Last	Evidence papers
Algorithms and data structures › analysis of algorithms average-case analysis	1	2000	Generalized Average-Case Analyses of the Nearest Neighbor Algorithm · ICML 2000
Algorithms and data structures › similarity search nearest neighbor search	1	2000	Generalized Average-Case Analyses of the Nearest Neighbor Algorithm · ICML 2000
Machine learning › Learning theory › computational complexity average-case analysis	1	1997	An Average-Case Analysis of the k-Nearest Neighbar Classifier for Noisy Domains · IJCAI (1) 1997
Machine learning › Learning theory › classification › nonparametric classification nearest neighbor classification	1	1997	An Average-Case Analysis of the k-Nearest Neighbar Classifier for Noisy Domains · IJCAI (1) 1997
Machine learning › Kernel, tree and ensemble methods › nearest neighbor methods nearest neighbor classifier	1	1996	Theoretical Analysis of the Nearest Neighbor Classifier in Noisy Domains · ICML 1996
Computational geometry › proximity problems proximity search	1	2000	Generalized Average-Case Analyses of the Nearest Neighbor Algorithm · ICML 2000
Machine learning › Trustworthy machine learning › robustness learning with noisy labels	1	1996	Theoretical Analysis of the Nearest Neighbor Classifier in Noisy Domains · ICML 1996

Methods — techniques the papers use, named apart from their topics

average-case analysis · 0.0theoretical analysis · 0.0

Year	Publication	Venue	Position
2014	Discovery of Areas with Locally Maximal Confidence from Location Data Hiroya Inakoshi, Hiroaki Morikawa, Tatsuya Asai, Nobuhiro Yugami, Seishi Okamoto	DASFAA (1)	5
2014	An AdaBoost for Efficient Use of Confidences of Weak Hypotheses on Text Categorization Tomoya Iwakura, Takahiro Saito, Seishi Okamoto	PRICAI	3
2010	Chimera: Stream-Oriented XML Filtering/Querying Engine Tatsuya Asai, Shin-ichiro Tago, Hiroya Inakoshi, Seishi Okamoto, Masayuki Takeda	DASFAA (2)	4
2010	Training Parse Trees for Efficient VF Coding Takashi Uemura, Satoshi Yoshida, Takuya Kida, Tatsuya Asai, Seishi Okamoto	SPIRE	5
2008	A Fast Boosting-based Learner for Feature-Rich Tagging and Chunking Tomoya Iwakura, Seishi Okamoto	CoNLL	2
2006	RSS Feed Generation from Legacy HTML Pages Jun Wang 0018, Kanji Uchino, Tetsuro Takahashi, Seishi Okamoto	APWeb	4
2003	Effects of domain characteristics on instance-based learning algorithms Seishi Okamoto, Nobuhiro Yugami	Theor. Comput. Sci.	1
2000	Generalized Average-Case Analyses of the Nearest Neighbor Algorithm Seishi Okamoto, Nobuhiro Yugami	ICML	1
2000	Fast Discovery of Interesting Rules Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto	PAKDD	3
1998	Instance Guided Rule Induction Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto	Discovery Science	3
1997	Theoretical Analysis of Case Retrieval Method Based on Neighborhood of a New Problem Seishi Okamoto, Nobuhiro Yugami	ICCBR	1
1997	An Average-Case Analysis of the k-Nearest Neighbar Classifier for Noisy Domains Seishi Okamoto, Nobuhiro Yugami	IJCAI (1)	1
1996	Theoretical Analysis of the Nearest Neighbor Classifier in Noisy Domains Seishi Okamoto, Nobuhiro Yugami	ICML	1
1995	An Average-Case Analysis of k-Nearest Neighbor Classifier Seishi Okamoto, Ken Satoh	ICCBR	1