EDBT 2026 Demo / reviewers in the wild / expert
Mitsuaki Sugahara
dblp:98/4642
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
protein crystallization |
0.1 | 1 | 2006 | Design of Classifier to Automate the Evaluation of Protein Crystallization States · ICRA 2006 |
Methods — techniques the papers use, named apart from their topics
classifier design · 0.1binary decision tree · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Design of Classifier to Automate the Evaluation of Protein Crystallization StatesabstractThis paper presents a method for designing classifier to automate an evaluation process of protein crystallization growth states. The classifier is designed by binary decision tree and its classification sequence is decided in descending order of classification accuracy. Furthermore, for applying to automated crystallization system, some functions reducing mis-classification are appended to the classifier. The performance of this method has been evaluated by comparing classification result by using proposed method with the result by manual classification Kanako Saitoh, Kuniaki Kawabata, Hajime Asama, Taketoshi Mishima, Mitsuaki Sugahara |
ICRA | 5 |