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Decision tree learning

A quantitative geospatial analysis of the risk that Boko Haram will target a school

Lirika Sola, Youdinghuan Chen, V. S. Subrahmanian

RETRACTED: Natural gas price prediction based on artificial intelligence models

Xuhui Liu, Meiqi Tang, [ ... ], Mingxing Song

Evaluating how different balancing data techniques impact on prediction of premature birth using machine learning models

Anna Beatriz Silva, Elisson da Silva Rocha, João Fausto Lorenzato, Patricia Takako Endo

Machine learning approaches for predicting the link of the global trade network of liquefied natural gas

Pei Zhao, Hao Song, Guang Ling

Imbalanced machine learning classification models for removal biosimilar drugs and increased activity in patients with rheumatic diseases

David Castro Corredor, Luis Ángel Calvo Pascual

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

Detection of false position attacks in VANETs through bagging ensemble learning

Bekan Kitaw Mekonen, Lemi Bane, Negasa Berhanu Fite

Optimizing network bandwidth slicing identification: NADAM-enhanced CNN and VAE data preprocessing for enhanced interpretability

Md. Fahim Ul Islam, Shahriar Hossain, [ ... ], Amitabha Chakrabarty

Tracking and analyzing the spatio-temporal changes of rice planting structure in Poyang Lake using multi-model fusion method with sentinel-2 multi temporal data

Fenglan Pi, Yang Chen, [ ... ], Yuanzhi Shi

Artificial intelligence–Driven detection and decision support system for precision management of maize downy mildew

Jadesha G, Anurag Dhole, Deepak D

Machine learning-driven Diabetes Health Tracer (DHT): Optimizing prognosis using RaSK_GraDe and RaSK_GraDeL models

Muhammad Noman, Maria Hanif, [ ... ], Basit Qureshi

Association between hemoglobin glycation index and 28-day all-cause mortality in acute myocardial infarction patients: Analysis of the MIMIC-IV database

Yue Lv, Lingchen Wei, [ ... ], Jianlin Wu

Early adherence to biofeedback training predicts long-term improvement in stroke patients: A machine learning approach

Nandini Sengupta, Rezaul Begg, [ ... ], Marimuthu Palaniswami

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