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Deep learning

Classification of motor imagery EEG using deep learning increases performance in inefficient BCI users

Navneet Tibrewal, Nikki Leeuwis, Maryam Alimardani

Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences

Jørgen Berntsen, Jens Rimestad, [ ... ], Mikkel Fly Kragh

Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database—HF_Lung_V1

Fu-Shun Hsu, Shang-Ran Huang, [ ... ], Feipei Lai

A deep learning reconstruction framework for X-ray computed tomography with incomplete data

Jianbing Dong, Jian Fu, Zhao He

Automated diagnosis of myositis from muscle ultrasound: Exploring the use of machine learning and deep learning methods

Philippe Burlina, Seth Billings, Neil Joshi, Jemima Albayda

Validation of deep-learning-based triage and acuity score using a large national dataset

Joon-myoung Kwon, Youngnam Lee, [ ... ], Jinsik Park

DeLUCS: Deep learning for unsupervised clustering of DNA sequences

Pablo Millán Arias, Fatemeh Alipour, Kathleen A. Hill, Lila Kari

Application of deep neural network and deep reinforcement learning in wireless communication

Ming Li, Hui Li

Graph convolutional network approach applied to predict hourly bike-sharing demands considering spatial, temporal, and global effects

Tae San Kim, Won Kyung Lee, So Young Sohn

Automated detection of COVID-19 through convolutional neural network using chest x-ray images

Rubina Sarki, Khandakar Ahmed, [ ... ], Kate Wang

LSTM based stock prediction using weighted and categorized financial news

Shazia Usmani, Jawwad A. Shamsi

Application of MobileNetV2 to waste classification

Liying Yong, Le Ma, Dandan Sun, Liping Du

Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network

Hwejin Jung, Bumsoo Kim, [ ... ], Jaewoo Kang

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