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Neural networks

Explainable machine learning approach for cancer prediction through binarilization of RNA sequencing data

Tianjie Chen, Md Faisal Kabir

Exploring trends and autonomy levels of adaptive business intelligence in healthcare: A systematic review

João Lopes, Mariana Faria, Manuel Filipe Santos

Short-term prediction of PM2.5 concentration by hybrid neural network based on sequence decomposition

Xiaoxuan Wu, Jun Zhu, Qiang Wen

Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to reduce preventable all-cause readmissions or death

Ted L. Chang, Hongjing Xia, [ ... ], Joshua C. Chang

Dynamic multilayer growth: Parallel vs. sequential approaches

Matt Ross, Nareg Berberian, Albino Nikolla, Sylvain Chartier

Multimodal deep learning-based drought monitoring research for winter wheat during critical growth stages

Jianbin Yao, Yushu Wu, Jianhua Liu, Hansheng Wang

GELT: A graph embeddings based lite-transformer for knowledge tracing

Zhijie Liang, Ruixia Wu, [ ... ], Jianyu Su

A calculation method for optical properties of yolk shell based on deep learning

Weiming He, Xiangchao Ma, [ ... ], Changheng Zhan

OFIDA: Object-focused image data augmentation with attention-driven graph convolutional networks

Meng Zhang, Yina Guo, Haidong Wang, Hong Shangguan

Short communication: Lifetime musical activity and resting-state functional connectivity in cognitive networks

Maxie Liebscher, Andrea Dell’Orco, [ ... ], On behalf of DELCODE study group

Machine learning in epidemiology: Neural networks forecasting of monkeypox cases

Lulah Alnaji

Enhanced PRIM recognition using PRI sound and deep learning techniques

Seyed Majid Hasani Azhdari, Azar Mahmoodzadeh, Mohammad Khishe, Hamed Agahi

Deep multiple instance learning versus conventional deep single instance learning for interpretable oral cancer detection

Nadezhda Koriakina, Nataša Sladoje, Vladimir Bašić, Joakim Lindblad

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