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Machine learning

Multilevel attention mechanism for motion fatigue recognition based on sEMG and ACC signal fusion

Dinghong Mu, Jian Wang, [ ... ], Rong Chen

Data science and automation in the process of theorizing: Machine learning’s power of induction in the co-duction cycle

Daan Kolkman, Gwendolyn K. Lee, Arjen van Witteloostuijn

Research on the sentiment recognition and application of allusive words based on text semantic enhancement

Xiaomin Li, Hao Wang, Bin Shi, Wenru Bu

A novel meta learning based stacked approach for diagnosis of thyroid syndrome

Muhammad Asad Abbas, Kashif Munir, [ ... ], Zahid Ullah

Selecting optimal software code descriptors—The case of Java

Yegor Bugayenko, Zamira Kholmatova, [ ... ], Giancarlo Succi

Postgraduate psychological stress detection from social media using BERT-Fused model

Muni Zhuang, Dongsheng Cheng, Xin Lu, Xu Tan

Enhancing wind erosion risk assessment through remote sensing techniques

Abdolhossein Boali, Narges Kariminejad, Mohsen Hosseinalizadeh

Predicting goal probabilities with improved xG models using event sequences in association football

Ishara Bandara, Sergiy Shelyag, [ ... ], Maia Angelova

DKVMN&MRI: A new deep knowledge tracing model based on DKVMN incorporating multi-relational information

Feng Xu, Kang Chen, [ ... ], Lang Zheng

LostNet: A smart way for lost and find

Meihua Zhou, Ivan Fung, [ ... ], Tingting Wang

MosquitoSong+: A noise-robust deep learning model for mosquito classification from wingbeat sounds

Akara Supratak, Peter Haddawy, [ ... ], Patchara Sriwichai

Prediction of fellow eye neovascularization in type 3 macular neovascularization (Retinal angiomatous proliferation) using deep learning

Won Tae Yoon, Seong Jae Lee, Jae Hee Jeong, Jae Hui Kim

Clinical and socioeconomic predictors of hospital use and emergency department visits among children with medical complexity: A machine learning approach using administrative data

Michael Sidra, Matthew Pietrosanu, [ ... ], Arto Ohinmaa

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