Editorial Message [0.03%]
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Zoran Obradovic , Editor-in-Chief
Zoran Obradovic
Kit T Rodolfa,Adolfo De Unanue,Matt Gee et al.
Kit T Rodolfa et al.
Like medicine, psychology, or education, data science is fundamentally an applied discipline, with most students who receive advanced degrees in the field going on to work on practical problems. Unlike these disciplines, however, data scien...
Sofie De Cnudde,Yanou Ramon,David Martens et al.
Sofie De Cnudde et al.
The outstanding performance of deep learning (DL) for computer vision and natural language processing has fueled increased interest in applying these algorithms more broadly in both research and practice. This study investigates the applica...
Transforming Finance Into Vision: Concurrent Financial Time Series as Convolutional Nets [0.03%]
从金融到视野：作为卷积网络的并发金融时间序列
Vasant Dhar,Chenshuo Sun,Puneet Batra
Vasant Dhar
We present a novel representation for multiple synchronized financial time series as images, motivated by deep learning methods in machine vision. The research pursues two related strands of inquiry. The first is to transform concurrent syn...
Haitham Nobanee
Haitham Nobanee
Editorial Message [0.03%]
编者按
Zoran Obradovic
Zoran Obradovic
Taylor and Gradient Descent-Based Actor Critic Neural Network for the Classification of Privacy Preserved Medical Data [0.03%]
基于泰勒和梯度下降的 actor-critic 神经网络在医疗隐私数据分类中的应用研究
Adhirai Subramaniyam,Rajendra Prasad Mahapatra,Paramjit Singh
Adhirai Subramaniyam
Classification of the privacy preserved medical data is the domain of the researchers as it stirs the importance behind hiding the sensitive data from the third-party authenticator. Ensuring the privacy of the medical records and using the ...
Effects of Distance Measure Choice on K-Nearest Neighbor Classifier Performance: A Review [0.03%]
距离度量选择对K近邻分类器性能影响的研究进展综述
Haneen Arafat Abu Alfeilat,Ahmad B A Hassanat,Omar Lasassmeh et al.
Haneen Arafat Abu Alfeilat et al.
The K-nearest neighbor (KNN) classifier is one of the simplest and most common classifiers, yet its performance competes with the most complex classifiers in the literature. The core of this classifier depends mainly on measuring the distan...
Bart Baesens
Bart Baesens