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Decision analysis

The efficacy of machine learning models in lung cancer risk prediction with explainability

Refat Khan Pathan, Israt Jahan Shorna, [ ... ], Zuhal Y. Hamd

Application of an ensemble CatBoost model over complex dataset for vehicle classification

Pemila M., Pongiannan R. K., [ ... ], Amr Youssef

Exploring the power of data mining for uncovering traditional medicinal plant knowledge: A case study in Shahrbabak, Iran

Hossein Bibak, Farzad Heydari, Mohammad Sadat-Hosseini

Customer churn modeling in telecommunication using a novel multi-objective evolutionary clustering-based ensemble learning

Kaveh Faraji Googerdchi, Shahrokh Asadi, Seyed Mohammadbagher Jafari

Does lifelong learning matter for the subjective wellbeing of the elderly? A machine learning analysis on Singapore data

Zheng Fang, Nicholas Sim

A Hybrid convolution neural network for the classification of tree species using hyperspectral imagery

Jian Wang, Yongchang Jiang

An ensemble classification method based on machine learning models for malicious Uniform Resource Locators (URL)

Suresh Sankaranarayanan, Arvinthan Thevar Sivachandran, [ ... ], Abdul Rahman Wahab Sait

Analysis and interpretability of machine learning models to classify thyroid disease

Sumya Akter, Hossen A. Mustafa

Automatic exudate and aneurysm segmentation in OCT images using UNET++ and hyperreflective-foci feature based bagged tree ensemble

Rinrada Tanthanathewin, Warissaporn Wongrattanapipat, Tin Tin Khaing, Pakinee Aimmanee

WilsonGenAI a deep learning approach to classify pathogenic variants in Wilson Disease

Aastha Vatsyayan, Mukesh Kumar, [ ... ], Binukumar B. K.

Prediction of heart failure patients with distinct left ventricular ejection fraction levels using circadian ECG features and machine learning

Sona M. Al Younis, Leontios J. Hadjileontiadis, [ ... ], Konstantinos Tsioufis

Explainable machine learning approach for cancer prediction through binarilization of RNA sequencing data

Tianjie Chen, Md Faisal Kabir

Lumbar spine MRI annotation with intervertebral disc height and Pfirrmann grade predictions

Friska Natalia, Sud Sudirman, Daniel Ruslim, Ala Al-Kafri

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