2023
DOI: 10.1007/s10115-022-01825-y
|View full text |Cite
|
Sign up to set email alerts
|

An in-depth and contrasting survey of meta-heuristic approaches with classical feature selection techniques specific to cervical cancer

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
7
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(7 citation statements)
references
References 190 publications
0
7
0
Order By: Relevance
“…Benchmark Real-Word Paper Year Function Metrics Techniques Classifier Application Application [4] 2023 ✓ ✓ ✓ [5] 2023 ✓ [6] 2023 ✓ ✓ ✓ ✓ [7] 2023 ✓ ✓ ✓ ✓ ✓ [8] 2022 ✓ [9] 2022…”
Section: Objective Evaluation Optimizationmentioning
confidence: 99%
See 4 more Smart Citations
“…Benchmark Real-Word Paper Year Function Metrics Techniques Classifier Application Application [4] 2023 ✓ ✓ ✓ [5] 2023 ✓ [6] 2023 ✓ ✓ ✓ ✓ [7] 2023 ✓ ✓ ✓ ✓ ✓ [8] 2022 ✓ [9] 2022…”
Section: Objective Evaluation Optimizationmentioning
confidence: 99%
“…On the other hand, the metaheuristics used to solve the problem are the common aspects studied in the mentioned reviews. The authors address the binarization of metaheuristics in [4][5][6]10]. For example, in [5], the authors detail whether the metaheuristics were binarized or modified with chaotic maps.…”
Section: Objective Evaluation Optimizationmentioning
confidence: 99%
See 3 more Smart Citations