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Decision tree learning

Tensile strength analysis of additively manufactured CM 247LC alloy specimen by employing machine learning classifiers

Vijaykumar S. Jatti, Dhruv A. Sawant, [ ... ], Emad S. Abouel Nasr

Assessing regional competitiveness in Peru: An approach using nonlinear machine learning models

Yvan J. Garcia-Lopez, Luis A. del Carpio Castro

Microfinance institutions failure prediction in emerging countries, a machine learning approach

Yvan J. Garcia-Lopez, Patricia Henostroza Marquez, Nicolas Nuñez Morales

Comparative analysis of supervised learning models for effluent quality prediction in wastewater treatment plants

Liu Bo-qi, Zhou Ding-jie, Zhao Yang, Shi Long-yu

Predicting microbe organisms using data of living micro forms of life and hybrid microbes classifier

Ali Raza, Furqan Rustam, [ ... ], Imran Ashraf

Novel artificial intelligence assisted Landsat-8 imagery analysis for mango orchard detection and area mapping

Muhammad Usama Tanveer, Kashif Munir, Ali Raza, Mubarak S. Almutairi

Fall prediction in a quiet standing balance test via machine learning: Is it possible?

Juliana Pennone, Natasha Fioretto Aguero, [ ... ], Alexandre Alarcon do Passo Suaide

Explainable machine learning for predictive modeling of blowing snow detection and meteorological feature assessment using XGBoost-SHAP

Feng Wang, Xinrang Wang, Sai Li

RRMSE-enhanced weighted voting regressor for improved ensemble regression

Shikun Chen, Wenlong Zheng

High Order Profile Expansion to tackle the new user problem on recommender systems

Diego Fernández, Vreixo Formoso, Fidel Cacheda, Victor Carneiro

LAVRF: Sign language recognition via Lightweight Attentive VGG16 with Random Forest

Edmond Li Ren Ewe, Chin Poo Lee, [ ... ], Ali Alqahtani

A novel decision ensemble framework: Attention-customized BiLSTM and XGBoost for speculative stock price forecasting

Riaz Ud Din, Salman Ahmed, [ ... ], Bader Alkhamees

PredIL13: Stacking a variety of machine and deep learning methods with ESM-2 language model for identifying IL13-inducing peptides

Hiroyuki Kurata, Md. Harun-Or-Roshid, Sho Tsukiyama, Kazuhiro Maeda

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