Related references
Note: Only part of the references are listed.Hybrid Filter and Genetic Algorithm-Based Feature Selection for Improving Cancer Classification in High-Dimensional Microarray Data
Waleed Ali et al.
PROCESSES (2023)
A hybrid feature selection method for production condition recognition in froth flotation with noisy labels
Xiaojun Zhou et al.
MINERALS ENGINEERING (2020)
Breast cancer detection by leveraging Machine Learning
Anji Reddy Vaka et al.
ICT EXPRESS (2020)
Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform
Zhenyu Zhao et al.
2019 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA 2019) (2019)
A Feature Selection Method Based on Hybrid Improved Binary Quantum Particle Swarm Optimization
Qing wu et al.
IEEE ACCESS (2019)
Clinical information extraction applications: A literature review
Yanshan Wang et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2018)
Diagnosis of Brain Metastases from Lung Cancer Using a Modified Electromagnetism like Mechanism Algorithm
Kun-Huang Chen et al.
JOURNAL OF MEDICAL SYSTEMS (2016)
Breast Cancer Diagnosis using a Hybrid Genetic Algorithm for Feature Selection based on Mutual Information
Abeer Alzubaidi et al.
2016 9TH INTERNATIONAL CONFERENCE ON INTERACTIVE TECHNOLOGIES AND GAMES (ITAG) (2016)
Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
HC Peng et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)
Share Paper
