A TLBO Based Bagging Approach for Effective Disease Diagnosis

Author:

Arukonda Srinivas1ORCID,Cheruku Ramalingaswamy1ORCID

Affiliation:

1. Computer Science and Engineering, National Institute of Technology Warangal, India

Publisher

ACM

Reference26 articles.

1. Comparing supervised and semi-supervised Machine Learning Models on Diagnosing Breast Cancer

2. Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study

3. Srinivas Arukonda and Ramalingaswamy Cheruku . 2023. A novel diversity-based ensemble approach with genetic algorithm for effective disease diagnosis. Soft Computing ( 2023 ), 1–20. Srinivas Arukonda and Ramalingaswamy Cheruku. 2023. A novel diversity-based ensemble approach with genetic algorithm for effective disease diagnosis. Soft Computing (2023), 1–20.

4. Investigation of Lung Cancer detection Using 3D Convolutional Deep Neural Network

5. A bi-objective optimization method to produce a near-optimal number of classifiers and increase diversity in Bagging

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