Name
Title | ||
|---|---|---|
Evolutionary based optimal ensemble classifiers for HIV-1 protease cleavage sites prediction. |
Abstract | ||
|---|---|---|
•Optimal ensemble framework for HIV-1 protease cleavage site prediction.•Optimal formation of encoding-classifier pair selection by evolutionary algorithm.•Natural selection in number of base learners and optimal data-learner mapping.•Credibility of propsed enesmble model in cross-domain prediction.•Experiment on benchmark data and statistical comparison with current state of art. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2018.05.003 | Expert Systems with Applications |
Keywords | Field | DocType |
Amino acid database,Ensemble classifier,Genetic algorithm,HIV-1 protease,Protein encoding,Support vector machine | Computational intelligence,Evolutionary algorithm,Ensemble forecasting,Computer science,Support vector machine,HIV-1 protease,Artificial intelligence,Classifier (linguistics),Machine learning,Genetic algorithm,Encoding (memory) | Journal |
Volume | ISSN | Citations |
109 | 0957-4174 | 1 |
PageRank | References | Authors |
0.35 | 30 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Deepak Singh | 1 | 3 | 1.72 |
| Pradeep Singh | 2 | 17 | 5.62 |
| Dilip Singh Sisodia | 3 | 15 | 6.94 |