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Machine learning

Estimating weaning duration from incremental dentine δ¹⁵N and δ¹³C using a sequence-based LSTM neural network: A deep learning framework for bioarchaeological applications

Elissavet Ganiatsou, Angelos Souleles, Christina Papageorgopoulou

STAC-Net: A hierarchical framework for modeling and predicting urban traffic flow with uncertainty quantification

Zekai Yan, Bowen Cai

Identifying daily-living features related to loneliness: A causal machine learning approach

Yuning Wang, Jennifer Auxier, [ ... ], Anna Axelin

Key personality and training factors influencing athletes’ mental health - based on machine learning

Guoxiao Sun, Jun Wang, Shuangling Zhang

Biological age threshold is associated with symptomatic knee osteoarthritis risk in chinese adults: Insights from machine learning analysis of a national cohort

Fanyu Fu, Li Dong, [ ... ], Yufeng Wang

PERMA-guided multi-topology graph neural networks for cross-cultural student well-being prediction

Lingqi Mo, Jie Zhang, [ ... ], ShiouYih Lee

SEANN: A domain-informed neural network for epidemiological insights

Jean-Baptiste Guimbaud, Marc Plantevit, Léa Maître, Rémy Cazabet

Predicting and explaining life satisfaction among older adults using tree-based ensemble models and SHAP: Evidence from the digital divide survey

Haiyan Kong, Hualong Fang, Guihua Zhang

A multi-factor dynamic time series measure for stock correlation analysis

Jinyu Fan, Guanyu Lu, Jun Ma

A novel algorithm for model uncertainty reduction in trapezoidal fuzzy fault tree risk assessment

Yuanyuan Zhang, Long Zhao, Tao Zhang, Wencheng Li

Hybrid machine learning models for enhanced arrhythmia detection from ECG signals using autoencoder and convolution features

Subir Biswas, Prabodh Kumar Sahoo, [ ... ], Xinhong Wang

Enhancing drug repositioning: A multi-class ensemble model for drug-target interaction prediction with action type categorization

Leila Jafari Khouzani, Soroush Sardari, [ ... ], Fahimeh Ghasemi

PRCnet: An efficient model for automatic detection of brain tumor in MRI images

Ahmeed Suliman Farhan, Muhammad Khalid, Umar Manzoor

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