Abstract: Decision tree boosting algorithms, such as XGBoost, have demonstrated superior predictive performance on tabular data for supervised learning compared to neural networks. However, recent ...

Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...

GridFM DataKit (gridfm-datakit) is a Python library for generating realistic, diverse, and scalable synthetic datasets for power flow (PF) and optimal power flow (OPF) machine learning solvers. It ...