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Machine learning

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

Mingbao Yang, Shaobo Li, Peng Zhou, JianJun Hu

Applications of machine learning tools for ultra-sensitive detection of lipoarabinomannan with plasmonic grating biosensors in clinical samples of tuberculosis

Yilun Huang, Charles M. Darr, [ ... ], Sounak Chakraborty

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

Validation of deep learning-based markerless 3D pose estimation

Veronika Kosourikhina, Diarmuid Kavanagh, Michael J. Richardson, David M. Kaplan

Human knowledge models: Learning applied knowledge from the data

Egor Dudyrev, Ilia Semenkov, [ ... ], Oleg S. Pianykh

Automatic extraction of upper-limb kinematic activity using deep learning-based markerless tracking during deep brain stimulation implantation for Parkinson’s disease: A proof of concept study

Sunderland Baker, Anand Tekriwal, [ ... ], John A. Thompson

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

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

Classifying ball trajectories in invasion sports using dynamic time warping: A basketball case study

Yu Yi Yu, Paul Pao-Yen Wu, Kerrie Mengersen, Wade Hobbs

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

Artificial intelligence automates the characterization of reversibly actuating planar-flow-casted NiTi shape memory alloy foil

Ritaban Dutta, Ling Chen, David Renshaw, Daniel Liang

Longitudinal analysis of sentiment and emotion in news media headlines using automated labelling with Transformer language models

David Rozado, Ruth Hughes, Jamin Halberstadt

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