Name
Abstract | ||
|---|---|---|
•We propose a model-agnostic visual analytics tools to assist in understanding an ensemble of classifiers and its underlying models.•We provide an interactive visual analytics tools that allow both decision boundary and instance-based inspections.•We tested our approach using the MNIST benchmark data set. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.cag.2019.08.012 | Computers & Graphics |
Keywords | Field | DocType |
Ensemble of classifiers,Decision boundary visualization,Dimensionality reduction,Inverse projection,Visual inspection | Computer vision,Data set,MNIST database,Dimensionality reduction,Ranking,Voting,Computer science,Artificial intelligence,Statistical classification,Classifier (linguistics),Machine learning | Journal |
Volume | ISSN | Citations |
85 | 0097-8493 | 1 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paula Ceccon Ribeiro | 1 | 5 | 2.48 |
| Guilherme G. Schardong | 2 | 1 | 1.69 |
| Simone Diniz Junqueira Barbosa | 3 | 337 | 70.01 |
| clarisse sieckenius | 4 | 543 | 80.38 |
| Hélio Lopes | 5 | 124 | 15.74 |