Name
Abstract | ||
|---|---|---|
•A novel semi-supervised deep rule-based (SSDRB) classifier with a prototype-based nature is introduced.•The semi-supervised learning process of the SSDRB classifier is self-organising and highly transparent.•The SSDRB classifier is able to generate human interpretable IF...THEN... rules.•The SSDRB classifier is able to perform classification on out-of-sample images.•The SSDRB classifier outperforms the state-of-art approaches in classification accuracy. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.asoc.2018.03.032 | Applied Soft Computing |
Keywords | Field | DocType |
Semi-supervised learning,Deep rule-based (DRB) classifier,Prototype-based models,Fuzzy rules,Self-organising classifier,Transparency and interpretability | Online learning,Rule-based system,Artificial intelligence,Contextual image classification,Classifier (linguistics),Mathematics,Machine learning | Journal |
Volume | ISSN | Citations |
68 | 1568-4946 | 6 |
PageRank | References | Authors |
0.46 | 29 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaowei Gu | 1 | 99 | 10.96 |
| Plamen Angelov | 2 | 954 | 67.44 |