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Deep learning

A deep learning framework for financial time series using stacked autoencoders and long-short term memory

Wei Bao, Jun Yue, Yulei Rao

Churn prediction of mobile and online casual games using play log data

Seungwook Kim, Daeyoung Choi, Eunjung Lee, Wonjong Rhee

Applying artificial intelligence to disease staging: Deep learning for improved staging of diabetic retinopathy

Hidenori Takahashi, Hironobu Tampo, [ ... ], Hidetoshi Kawashima

A preliminary examination of the diagnostic value of deep learning in hip osteoarthritis

Yanping Xue, Rongguo Zhang, [ ... ], Tao Jiang

When Bitcoin encounters information in an online forum: Using text mining to analyse user opinions and predict value fluctuation

Young Bin Kim, Jurim Lee, [ ... ], Chang Hun Kim

Forecasting influenza in Hong Kong with Google search queries and statistical model fusion

Qinneng Xu, Yulia R. Gel, [ ... ], Kwok-Leung Tsui

A shallow convolutional neural network for blind image sharpness assessment

Shaode Yu, Shibin Wu, [ ... ], Leida Li

A novel framework for the identification of drug target proteins: Combining stacked auto-encoders with a biased support vector machine

Qi Wang, YangHe Feng, [ ... ], GuangQuan Cheng

Prediction of crime occurrence from multi-modal data using deep learning

Hyeon-Woo Kang, Hang-Bong Kang

Use of a machine learning framework to predict substance use disorder treatment success

Laura Acion, Diana Kelmansky, [ ... ], Stephan Arndt

Real-time traffic sign recognition based on a general purpose GPU and deep-learning

Kwangyong Lim, Yongwon Hong, Yeongwoo Choi, Hyeran Byun

Recognition of prokaryotic and eukaryotic promoters using convolutional deep learning neural networks

Ramzan Kh. Umarov, Victor V. Solovyev

Predicting Virtual World User Population Fluctuations with Deep Learning

Young Bin Kim, Nuri Park, [ ... ], Chang Hun Kim

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