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Deep learning

A graph-based approach to multi-source heterogeneous information fusion in stock market

Jun Wang, Xiaohan Li, Huading Jia, Tao Peng

Predicting demographic characteristics from anterior segment OCT images with deep learning: A study protocol

Yun Jeong Lee, Sukkyu Sun, Young Kook Kim

A deep learning–based algorithm for tall cell detection in papillary thyroid carcinoma

Sebastian Stenman, Nina Linder, [ ... ], Johan Lundin

Predicting intraoperative hypotension using deep learning with waveforms of arterial blood pressure, electroencephalogram, and electrocardiogram: Retrospective study

Yong-Yeon Jo, Jong-Hwan Jang, [ ... ], Han‐Gil Jeong

AAF-Net: Scene text detection based on attention aggregation features

Mengmeng Chen, Mayire Ibrayim, Askar Hamdulla

New deep learning method for efficient extraction of small water from remote sensing images

Yuanjiang Luo, Ao Feng, [ ... ], Haibo Pu

Automatic grading for Arabic short answer questions using optimized deep learning model

Mustafa Abdul Salam, Mohamed Abd El-Fatah, Naglaa Fathy Hassan

Secure deep learning for distributed data against malicious central server

Le Trieu Phong

An effective behavior recognition method in the video session using convolutional neural network

Yizhen Meng, Jun Zhang

The proposed hybrid deep learning intrusion prediction IoT (HDLIP-IoT) framework

Magdy M. Fadel, Sally M. El-Ghamrawy, [ ... ], Ali I. El-Desoky

Using deep learning to predict outcomes of legal appeals better than human experts: A study with data from Brazilian federal courts

Elias Jacob de Menezes-Neto, Marco Bruno Miranda Clementino

Volatility forecasts of stock index futures in China and the US–A hybrid LSTM approach

Xue Chen, Yan Hu

Predicting malnutrition from longitudinal patient trajectories with deep learning

Boyang Tom Jin, Mi Hyun Choi, Meagan F. Moyer, David A. Kim

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