DeepTables(DT) is an easy-to-use toolkit that enables deep learning to unleash great power on tabular data. MLP (also known as Fully-connected neural networks) have been shown inefficient in learning ...

Abstract: Traditional Machine Learning (ML) models are generally preferred for classification tasks on tabular datasets, which often produce unsatisfactory results in complex tabular datasets. Recent ...

In one sentence: transforming the original scalar continuous features to vectors before mixing them in the main backbone (e.g. in MLP, Transformer, etc.) improves the downstream performance of tabular ...

Abstract: Radiomics is an important research direction in the field of medical image analysis. Although the number of publications is increasing year by year, it has been difficult to translate into ...