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Decision analysis

Predictive model for converting optic neuritis to multiple sclerosis; decision tree in focus

Saeid Rasouli, Mohammad Sedigh Dakkali, [ ... ], Mohammed Arish

A Genetic algorithm aided hyper parameter optimization based ensemble model for respiratory disease prediction with Explainable AI

Balraj Preet Kaur, Harpreet Singh, [ ... ], Md. Mehedi Hassan

Analyzing and predicting short-term substance use behaviors of persons who use drugs in the great plains of the U.S.

Nguyen Thach, Patrick Habecker, [ ... ], Hau Chan

Nonlinear effects of traffic statuses and road geometries on highway traffic accident severity: A machine learning approach

Yao Liang, Hongxia Yuan, [ ... ], Xiaobo Tang

StackIL10: A stacking ensemble model for the improved prediction of IL-10 inducing peptides

Izaz Ahmmed Tuhin, Md. Rajib Mia, [ ... ], Md. Abdus Samad

Prediction model and technical and tactical decision analysis of women’s badminton singles based on machine learning

Hanguang Yuan, Yaodong Wang, Kairan Yang, Yulu Bin

Advancing ensemble learning techniques for residential building electricity consumption forecasting: Insight from explainable artificial intelligence

Jihoon Moon, Muazzam Maqsood, [ ... ], Yunyoung Nam

Scallop fishing activity characterization in Southern New England: Offshore wind demands and fisheries-dependent methods

Julia Livermore, Todd Guilfoos

Research on the effect of multiple credit ratings from the perspective of financial regulatory systems in Chinese bond market

Xiangyun Zhou, Huiling Wang, Luping Zhang

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

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

Heart rate variability analysis for the prediction of pre-arousal during propofol-remifentanil general anaesthesia: A feasibility study

Anne Wojtanowski, Maxence Hureau, [ ... ], Julien de Jonckheere

A new fusion neural network model and credit card fraud identification

Shan Jiang, Xiaofeng Liao, [ ... ], Babatunde Oluwaseun Onasanya

Comparison of ANN and XGBoost surrogate models trained on small numbers of building energy simulations

Sanja Stevanović, Husain Dashti, [ ... ], Dragan Stevanović

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