Demo Data from EDBT 2026 / reviewers in the wild / expert
Nobuhiro Yugami
dblp:40/1942
· DBLP profile ↗
13ranked-venue papers
5as 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 · 9 · 4 first-authorDatabases, data management, data science and information retrieval · 3 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 3 · 2 first-authorTheory of computation · 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
2 papers |
Algorithms and data structures · 61% Automated reasoning and model checking · 30% Computational geometry · 9% | |
| Artificial intelligence
3 papers |
Learning theory · 64% Kernel, tree and ensemble methods · 28% Trustworthy machine learning · 8% |
Topics — the 9 heaviest of 10, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithms and data structures › analysis of algorithms
average-case analysis |
0.0 | 1 | 2000 | Generalized Average-Case Analyses of the Nearest Neighbor Algorithm · ICML 2000 |
Algorithms and data structures › similarity search
nearest neighbor search |
0.0 | 1 | 2000 | Generalized Average-Case Analyses of the Nearest Neighbor Algorithm · ICML 2000 |
Machine learning › Learning theory › computational complexity
average-case analysis |
0.0 | 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 |
0.0 | 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 |
0.0 | 1 | 1996 | Theoretical Analysis of the Nearest Neighbor Classifier in Noisy Domains · ICML 1996 |
Automated reasoning and model checking › satisfiability › SAT solving
DPLL |
0.0 | 1 | 1995 | Theoretical Analysis of Davis-Putnam Procedure and Propositional Satisfiability · IJCAI 1995 |
Automated reasoning and model checking
satisfiability |
0.0 | 1 | 1995 | Theoretical Analysis of Davis-Putnam Procedure and Propositional Satisfiability · IJCAI 1995 |
Computational geometry › proximity problems
proximity search |
0.0 | 1 | 2000 | Generalized Average-Case Analyses of the Nearest Neighbor Algorithm · ICML 2000 |
Machine learning › Trustworthy machine learning › robustness
learning with noisy labels |
0.0 | 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 · 0.0proof complexity · 0.0value propagation · 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) | 4 |
| 2014 | MultiAspectSpotting: Spotting Anomalous Behavior within Count Data Using Tensor
Koji Maruhashi, Nobuhiro Yugami |
PAKDD (2) | 2 |
| 2003 | Mining Interesting Patterns Using Estimated Frequencies from Subpatterns and Superpatterns
Yukiko Yoshida, Yuiko Ohta, Kenichi Kobayashi 0001, Nobuhiro Yugami |
Discovery Science | 4 |
| 2003 | Effects of domain characteristics on instance-based learning algorithms
Seishi Okamoto, Nobuhiro Yugami |
Theor. Comput. Sci. | 2 |
| 2000 | Discovery of M-of-N Concepts for Classification
Nobuhiro Yugami |
Discovery Science | 1 |
| 2000 | Generalized Average-Case Analyses of the Nearest Neighbor Algorithm
Seishi Okamoto, Nobuhiro Yugami |
ICML | 2 |
| 2000 | Fast Discovery of Interesting Rules
Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto |
PAKDD | 1 |
| 1998 | Instance Guided Rule Induction
Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto |
Discovery Science | 1 |
| 1997 | Theoretical Analysis of Case Retrieval Method Based on Neighborhood of a New Problem
Seishi Okamoto, Nobuhiro Yugami |
ICCBR | 2 |
| 1997 | An Average-Case Analysis of the k-Nearest Neighbar Classifier for Noisy Domains
Seishi Okamoto, Nobuhiro Yugami |
IJCAI (1) | 2 |
| 1996 | Theoretical Analysis of the Nearest Neighbor Classifier in Noisy Domains
Seishi Okamoto, Nobuhiro Yugami |
ICML | 2 |
| 1995 | Theoretical Analysis of Davis-Putnam Procedure and Propositional Satisfiability
Nobuhiro Yugami |
IJCAI | 1 |
| 1994 | Improving Repair-Based Constraint Satisfaction Methods by Value Propagation
Nobuhiro Yugami, Yuiko Ohta, Hirotaka Hara |
AAAI | 1 |