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Boosting algorithms

Comparative analysis of machine learning techniques for cardiovascular disease prediction

Md. Mahfuz Uddin, Md. Binyamin, Md. Muhtasim Munif Fahim, Md. Rezaul Karim

Deep learning approaches show promise for predicting childhood malnutrition: A comparative study with traditional machine learning methods using survey data

Deepak Bastola, Yang Li

Achieving long-term success in irrigation commons

Ulrich J. Frey, Atul Pokharel

Interpretable machine learning with Bayesian optimization for bond strength prediction of steel reinforcement in geopolymer concrete

Viet Hung Tran, Viet Hai Hoang, Quang Minh Tran

Air quality index prediction using machine learning regression models: A comparative analysis

Fiaz Majeed, Sana Saleha, [ ... ], Arshad Ahmad

Geospatial variation and machine learning approaches to predict open defecation practice in Zambia

Andualem Addisu Birlie, Nega Abebe Meshesha, [ ... ], Muluken Belachew Mengistie

Development of an exploratory prediction model for preoperative CK19 expression in esophageal cancer driven by radiomics and machine learning

Jiafu Yang, Sicheng Wang, [ ... ], Yangkang Li

A hybrid machine learning and explainable AI framework for optimizing risk-based authentication

K. Sasikumar, Sivakumar Nagarajan

Toward transparent intelligence: Explainable stacked ensembles learning for LiDAR point cloud segmentation

Afridi Rahman Bondhon, Emon Kumar Dey

Genetic variants and polygenic risk scores associated with paroxysmal atrial fibrillation in the Japanese population

Megumi Shiomi, Yuki Nagata, [ ... ], Toshihiro Tanaka

Comparative evaluation of machine learning models for predicting Cimbex quadrimaculata population density across multiple problem formulations

Yunus Güral

Forecasting auditor’s going concern opinion using with hybrid robust machine learning model

Uğur Ejder, Alpaslan Yaşar

Efficient talent identification in women’s football: A ranking-based approach for goal scoring analysis

Songyi Song, Hee-Su Kim

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