Abstract: Feature selection is a crucial step for data preprocessing, and it is widely applied in machine learning. It can eliminate features that are redundant or irrelevant from data, thereby ...

Abstract: The spread of false news via social and other media platforms is a major worry because it has the potential to cause significant harm to societies and nations. As a result, many academics ...

Python, known for its simplicity and readability, is a versatile programming language used in various domains including web development, scientific computing, artificial intelligence and more. One of ...

1 Center for Brain, Mind, and KANSEI Sciences Research, Hiroshima University, Hiroshima, Japan 2 Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan The complexity ...

Background: K-complex detection plays a significant role in the field of sleep research. However, manual annotation for electroencephalography (EEG) recordings by visual inspection from experts is ...

MDFS is a library to assist in MultiDimensional Feature Selection (MDFS), i.e. feature selection that accounts for multidimensional interactions in the dataset. To ...

A set of notebooks that leverage classical ML algorithms and DL neural nets using TF, Keras and Theano to address a series of issues in the field of conservation and biology.

ABSTRACT: Many systems of handwritten digit recognition built using the complete set of features in order to enhance the accuracy. However, these systems lagged in terms of time and memory. These two ...