1 citations · 3 across the 3 of their papers we have counts for
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cs.LG2024★ 1 cited
Deep Learning to Predict Late-Onset Breast Cancer Metastasis: the Single Hyperparameter Grid Search (SHGS) Strategy for Meta Tuning Concerning Deep Feed-forward Neural Network
Yijun Zhou, Om Arora-Jain, Xia Jiang
While machine learning has advanced in medicine, its widespread use in clinical applications, especially in predicting breast cancer metastasis, is still limited. We have been dedi…
cs.LG2023★ 1 cited
Experimenting with an Evaluation Framework for Imbalanced Data Learning (EFIDL)
Chenyu Li, Xia Jiang
Introduction Data imbalance is one of the crucial issues in big data analysis with fewer labels. For example, in real-world healthcare data, spam detection labels, and financial fr…
cs.LG2022★ 1 cited
Empirical Study of Overfitting in Deep FNN Prediction Models for Breast Cancer Metastasis
Chuhan Xu, Pablo Coen-Pirani, Xia Jiang
Overfitting is defined as the fact that the current model fits a specific data set perfectly, resulting in weakened generalization, and ultimately may affect the accuracy in predic…