Demo Data from EDBT 2026 / reviewers in the wild / expert
Atsushi Yamagishi
dblp:53/2646
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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 |
Computational geometry · 50% Mathematical optimization · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational geometry
geometric modeling and processing |
0.0 | 1 | 1998 | Application of evolutionary programming to shape design · Comput. Aided Des. 1998 |
Mathematical optimization › design optimization
shape optimization |
0.0 | 1 | 1998 | Application of evolutionary programming to shape design · Comput. Aided Des. 1998 |
Methods — techniques the papers use, named apart from their topics
evolutionary programming · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Layered-Modeling of Affective and Sensory Experiences using Structural Equation Modeling: Touch Experiences of Plastic Surfaces as an ExampleabstractDeveloping a multilayered structure of adjective words that explains semantic relationships between human perceptual and affective responses to stimuli is instrumental in the design of affective aspects of products. However, the determination of multilayered structure is demanding and, thus far, it has been conducted by experienced developers in a trial-and-error manner. This study developed a method to systematically establish such structures through common tasks for sensory evaluation where products are rated along adjective labels. This method gradually expands the model from a simple two-layered to complex multilayered structures until it is accepted by structural equation modeling. The lower and higher layers of the initial two-layered model are composed of sensory and affective adjectives, respectively. The parts with weak fit indices of the higher layer are then remodeled, resulting in a multilayered affective structure. To validate the method, we built adjective structures based on responses to touching plastic plates. The method resulted in three- and four-layered structures that were quantitatively and semantically valid. Shogo Okamoto, Haruyo Kojima, Atsushi Yamagishi, Kyoichi Kato, Atsuko Tamada |
IEEE Trans. Affect. Comput. | 3 |
| 1998 | Application of evolutionary programming to shape design
Toshiharu Taura, Ichiro Nagasaka, Atsushi Yamagishi |
Comput. Aided Des. | 3 |