Search Results for author:
Found 4 papers, 0 papers with code
Do Weibo platform experts perform better at predicting stock market?
Sentiment analysis can be used for stock market prediction.
Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation
This paper addresses these issues by demonstrating how a relatively new synthetic data generation technique, STEM, can be used to produce data to train models produced by Grammatical Evolution (GE) that are inherently understandable.
A Novel ML-driven Test Case Selection Approach for Enhancing the Performance of Grammatical Evolution
The quality of the solutions is tested and compared against the conventional training method to measure the coverage of training data selected using DBS, i. e., how well the subset matches the statistical properties of the entire dataset.
STEM Rebalance: A Novel Approach for Tackling Imbalanced Datasets using SMOTE, Edited Nearest Neighbour, and Mixup
To this end, we propose STEM, which combines SMOTE-ENN and Mixup at the instance level.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
