IEEE

Pain Classification Using Discrete Wavelet Transform Feature Extraction and Machine Learning Techniques

Abstract: Electrodermal activity (EDA) measurement has been identified as a useful indicator for evaluating pain levels in patients. This study aims to find features of the EDA signal that influence ...
IEEE

A Comparative Analysis of Classification Performance Between Balanced and Imbalanced Rodent Tuber Datasets Using Support Vector Machine and Random Forest

Abstract: The main discussion in this paper is focused on how the condition of a dataset (imbalanced or balanced) can affect classification results. The dataset used in this study is Rodent Tuber's ...
C&EN

Improving Machine Learning Classification Predictions through SHAP and Features Analysis Interpretation

Department of Life Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi 103, 41125 Modena, Italy Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, ...