来自MSN

Sleep Stage Classification with Python: EEG, Scikit-Learn & MNE

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
Frontiers

ML-based validation of experimental randomization in learning games

1 Department of Computer Science, College of Informatics, National Chengchi University, Taipei, Taiwan 2 College of Education, National Chengchi University, Taipei, Taiwan Randomization is a standard ...
The Lancet

Development of a multi-task deep learning system for classification of nine common knee ...

aDepartment of Radiology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China bInstitute of High-End Intelligent Health Equipment, Academy of Orthopedics, Guangdong Province ...
eLife

Fast evolutionary turnover and overlapping variances of sex-biased gene expression patterns ...

This study presents data on sex differences in gene expression across organs of four mice taxa. The authors have generated a unique and convincing dataset that fills a gap left by previous studies.
Hacker

Exploring Local and Global Sensitivity in Binary Decision Modeling

The Large-ness of Large Language Models (LLMs) ushered in a technological revolution. We dissect the research. The Large-ness of Large Language Models (LLMs) ushered ...
The New York Times

Head of S.E.C.’s Crypto Task Force Says ‘Tokenized’ Stocks Are Securities

Hester M. Peirce said in a statement Wednesday that digital versions of stocks are still subject to federal securities laws. By Matthew Goldstein The head of the Securities and Exchange Commission’s ...
IEEE

Augmentation in a Binary Text Classification Task

Abstract: - The purpose of this paper is to investigate the effect of different kinds of augmentation on the binary text classification performed by different transformer models. Augmentations were ...
Frontiers

Comparative analysis of convolutional neural networks and transformer architectures for ...

The First Hospital of Hunan University of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China Background: Breast cancer remains the most prevalent malignancy in women globally, ...
GitHub

A task list application, written in Python3 using the dearpygui library

NOTE: While binary packages should work, the dependency management has not been tested! Please file an issue report if you encounter problems. NOTE: While binary packages should work, the dependency ...
Scientific Research Publishing

An Evaluation of Machine Learning Models for Threat Classification in IoT Devices ()

1 Center for Cyberspace Studies, Nasarawa State University, Keffi, Nigeria. 2 Department of Computer Engineering, Nile University of Nigeria, Abuja, Nigeria. 3 Department of Public and International ...