Nature

This AI method could turbocharge the hunt for new medicines

The approach, published on 23 October in Science, builds on a trend that is sweeping the field of drug discovery: the use of ...
Hosted on MSN

What Is MaxOut in Deep Learning – Intuition and Explanation

Discover what MaxOut is and why it matters in deep learning. Understand the intuition, math, and use cases behind this activation function. #MaxOut #DeepLearning #NeuralNetworks Trump wants to ‘end’ ...
IEEE

Deep Learning-Based Individual Drone Identification Using Raw IQ Data

Abstract: In this letter, we propose a novel deep learning-based method for drone identification using raw in-phase and quadrature (IQ) data, addressing the increasing need for monitoring and ...
The Lancet

Women's retrospective reports of childhood sexual abuse in cross-sectional household surveys: a multi-country secondary analysis of two data collection methods

aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bDepartment of Health Metrics Sciences, University of Washington, Seattle, WA, USA ...
IEEE

Unsupervised/Semi-Supervised Magnetic Anomaly Detection Method Based on Deep Support Vector Data Description

Abstract: Existing magnetic anomaly detection (MAD) methods are widely categorized into target-, noise-, and machine learning-based methods. This article first analyzes the commonalities and ...