Demo Data from EDBT 2026 / reviewers in the wild / expert
Akio Tanaka
dblp:46/378
· DBLP profile ↗
4ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Systems, architecture and hardware · 1Graphics, computer vision, multimedia, augmented reality and games · 1Applied, 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.
| Artificial intelligence
1 paper |
Speech recognition and synthesis · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Speech recognition and synthesis
speech production |
0.0 | 1 | 1988 | Speech Production Using A Neural Network with a Cooperative Learning Mechanism · NIPS 1988 |
Methods — techniques the papers use, named apart from their topics
neural network · 0.0cooperative learning · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | Online recognition of freely handwritten Japanese characters using directional feature densitiesabstractThe authors propose an online handwritten Japanese character recognition method permitting both stroke number and stroke order variations. The method is based on the pattern matching technique. Matching is done by the multiple similarity method using directional feature densities, which are independent of both stroke number and stroke order. This method has achieved a good recognition rate, 91%, for 2965 freely written Japanese kanji characters.> Akinori Kawamura, Koji Yura, Tatsuya Hayama, Yataka Hidai, Tadatoshi Minamikawa, Akio Tanaka, Shoichi Masuda |
ICPR (2) | 6 |
| 1988 | Speech Production Using A Neural Network with a Cooperative Learning Mechanism
Mitsuo Komura, Akio Tanaka |
NIPS | 2 |
| 1981 | Firmware realization of an operating system
Mamoru Maekawa, Ken Sakamura, Chiaki Ishikawa, Akio Tanaka |
Microprocessing and Microprogramming | 4 |
| 1980 | Properties of Analogue Neural NetworksabstractSpatially discrete analogue neural networks and spatially continuous analogue neural networks are considered in this paper in studying the fundamental properties of analogue neural networks. A model of neural networks is discussed. Shoichi Noguchi, Akio Tanaka, Kenji Sugawara |
Cybern. Syst. | 2 |