14 citations · 16 across the 2 of their papers we have counts for
2 papers
q-fin.GN2019★ 14 cited
Using Deep Learning Neural Networks and Candlestick Chart Representation to Predict Stock Market
Rosdyana Mangir Irawan Kusuma, Trang-Thi Ho, Wei-Chun Kao +2
Stock market prediction is still a challenging problem because there are many factors effect to the stock market price such as company news and performance, industry performance, i…
stat.ML2007★ 2 cited
Supervised Machine Learning with a Novel Kernel Density Estimator
Yen-Jen Oyang, Darby Tien-Hao Chang, Yu-Yen Ou +3
In recent years, kernel density estimation has been exploited by computer scientists to model machine learning problems. The kernel density estimation based approaches are of inter…