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Deep learning

Deep learning-based survival prediction for multiple cancer types using histopathology images

Ellery Wulczyn, David F. Steiner, [ ... ], Martin C. Stumpe

Research on soil moisture prediction model based on deep learning

Yu Cai, Wengang Zheng, [ ... ], Xuzhang Xue

SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach

Sajad Mousavi, Fatemeh Afghah, U. Rajendra Acharya

A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue

Jeffrey J. Nirschl, Andrew Janowczyk, [ ... ], Anant Madabhushi

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

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

Computational Phenotype Discovery Using Unsupervised Feature Learning over Noisy, Sparse, and Irregular Clinical Data

Thomas A. Lasko, Joshua C. Denny, Mia A. Levy

Deep learning approach to peripheral leukocyte recognition

Qiwei Wang, Shusheng Bi, [ ... ], Shaobao Yang

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

Kwangyong Lim, Yongwon Hong, Yeongwoo Choi, Hyeran Byun

Word2vec convolutional neural networks for classification of news articles and tweets

Beakcheol Jang, Inhwan Kim, Jong Wook Kim

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

Ramzan Kh. Umarov, Victor V. Solovyev

A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis

Furqan Rustam, Madiha Khalid, [ ... ], Gyu Sang Choi

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

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

A systematic review of fuzzing based on machine learning techniques

Yan Wang, Peng Jia, [ ... ], Zhonglin Liu

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