Demo Data from SIGIR 2026 / reviewers in the wild / expert
Tsuguchika Kaminuma
dblp:05/1875
· DBLP profile ↗
5ranked-venue papers
3as first author
0since 2021 · last 1999
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4 · 3 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 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.
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Bioinformatics and computational biology · 95% Medical and health informatics · 5% | |
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
biological database |
0.0 | 1 | 1999 | Development of the receptor database (RDB): application to the endocrine disruptor problem · Bioinform. 1999 |
Bioinformatics and computational biology › genomics
toxicogenomics |
0.0 | 1 | 1999 | Development of the receptor database (RDB): application to the endocrine disruptor problem · Bioinform. 1999 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › concept formation › formal concept analysis
concept lattice |
0.0 | 1 | 1979 | Conceptual Lattice: A Unified Model for Medical Inference Processes · IJCAI 1979 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
ontology |
0.0 | 1 | 1979 | Conceptual Lattice: A Unified Model for Medical Inference Processes · IJCAI 1979 |
Medical and health informatics
clinical decision support |
0.0 | 1 | 1979 | Conceptual Lattice: A Unified Model for Medical Inference Processes · IJCAI 1979 |
Methods — techniques the papers use, named apart from their topics
object-oriented database · 0.0Internet/WWW technology · 0.0ACEDB · 0.0formal concept analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | Development of the receptor database (RDB): application to the endocrine disruptor problemabstractMOTIVATION: To represent various aspects of receptors effectively, we developed the receptor database (RDB), using an object-oriented database management system ACEDB and the Internet/WWW technology. RESULTS: RDB was constructed so that the system collects data items such as attributes of proteins from distributed data sources of the Internet, and so that it provides various viewing tools effectively, depending on different types of receptor data. Such sources include standard international biological databases such as the up-to-date database of PIR, Swiss Prot, PDB, GenBank and GDB. Application to the endocrine disruptor problem is presented. AVAILABILITY: RDB is available through the Internet at http://impact.nihs.go.jp/RDB.html. Kotoko Nakata, T. Takai, Tsuguchika Kaminuma |
Bioinform. | 3 |
| 1988 | Recent developments of the minimum entropy algorithmabstractThis work has two purposes: it is a tutorial survey of methods based on the heuristic principle of entropy minimization; and it introduces a novel algorithm IMPAL, that makes possible to decide the class affiliation of a new arrival when multiclass paradigms are given in advance. Two examples are given to demonstrate the relevance of IMPAL. > Satosi Watanabe, Tsuguchika Kaminuma |
ICPR | 2 |
| 1979 | Conceptual Lattice: A Unified Model for Medical Inference Processes
Tsuguchika Kaminuma |
IJCAI | 1 |
| 1972 | Fast-converging adaptive algorithms for well-balanced separating linear classifier
Tsuguchika Kaminuma, Satosi Watanabe |
Pattern Recognit. | 1 |
| 1969 | Reduction of clustering problem to pattern recognition
Tsuguchika Kaminuma, T. Takekawa, Satosi Watanabe |
Pattern Recognit. | 1 |