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Deep learning

Remote sensing image super-resolution using multi-scale convolutional sparse coding network

Ruihong Cheng, Huajun Wang, Ping Luo

Knowledge distillation for multi-depth-model-fusion recommendation algorithm

Mingbao Yang, Shaobo Li, Peng Zhou, JianJun Hu

ICAN: Interpretable cross-attention network for identifying drug and target protein interactions

Hiroyuki Kurata, Sho Tsukiyama

A Novel CNN pooling layer for breast cancer segmentation and classification from thermograms

Esraa A. Mohamed, Tarek Gaber, Omar Karam, Essam A. Rashed

Considerate motion imagination classification method using deep learning

Zhaokun Yan, Xiangquan Yang, Yu Jin

Study on the Pakistan stock market using a new stock crisis prediction method

Irfan Javid, Rozaida Ghazali, [ ... ], Noor Aida Husaini

The application of artificial intelligence to support biliary atresia screening by ultrasound images: A study based on deep learning models

Fang-Rong Hsu, Sheng-Tong Dai, Chia-Man Chou, Sheng-Yang Huang

Clinical applicability of deep learning-based respiratory signal prediction models for four-dimensional radiation therapy

Sangwoon Jeong, Wonjoong Cheon, Sungkoo Cho, Youngyih Han

Side channel analysis based on feature fusion network

Feng Ni, Junnian Wang, [ ... ], Ruihan Xu

Adversarial attacks against supervised machine learning based network intrusion detection systems

Ebtihaj Alshahrani, Daniyal Alghazzawi, Reem Alotaibi, Osama Rabie

A novel abnormality annotation database for COVID-19 affected frontal lung X-rays

Surbhi Mittal, Vasantha Kumar Venugopal, [ ... ], Santanu Chaudhury

A deep-learning approach for automatically detecting gait-events based on foot-marker kinematics in children with cerebral palsy—Which markers work best for which gait patterns?

Yong Kuk Kim, Rosa M. S. Visscher, [ ... ], Florian Vogl

Saliency guided data augmentation strategy for maximally utilizing an object’s visual information

Junhyeok An, Soojin Jang, [ ... ], YoungBin Kim

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