A data ensemble-based approach for detecting vocal disorders using replicated acoustic biomarkers from electroglottography by Lizbeth Naranjo, Carlos J. Pérez, Daniel F. Merino

Subjects: Get full text

Ensemble Machine Learning Model Prediction and Metaheuristic Optimisation of Oil Spills Using Organic Absorbents: Supporting Sustainable Maritime by Le Quang Dung, Pham Duc, Bui Thi Anh Em, Nguyen Lan Huong, Nguyen Phuoc Quy Phong, Dang Thanh Nam

Subjects: Get full text

ICBoost: An XGBoost-Based Unbiased Transformed Algorithm for Survival Regression by Jingyi Zhang, Shishun Zhao, Yang Xu, Tao Hu

Subjects: Get full text

Comparative Analysis of Machine Learning and Deep Learning Models for Classification and Prediction of Liver Disease in Patients with Hepatitis C by Shalem Preetham Gandu, M. Roshni Thanka, E. Bijolin Edwin, Ebenezer Veemaraj, S. Stewart Kirubakaran

Subjects: Get full text

Predicting Lymphoma Development by Exploiting Genetic Variants and Clinical Findings in a Machine Learning-Based Methodology With Ensemble Classifiers in a Cohort of Sjögren... by Konstantina D. Kourou, Vasileios C. Pezoulas, Eleni I. Georga, Themis Exarchos, Costas Papaloukas, Michalis Voulgarelis, Andreas Goules, Andrianos Nezos, Athanasios G. Tzioufas, Earalampos M. Moutsopoulos, Clio Mavragani, Dimitrios I. Fotiadis

Subjects: “…Ensemble methods…”
Get full text

Deep learning to evaluate seismic-induced soil liquefaction and modified transfer learning between various data sources by Hongwei Guo, Chao Zhang, Hongyuan Fang, Timon Rabczuk, Xiaoying Zhuang

Subjects: Get full text

hERG toxicity prediction in early drug discovery using extreme gradient boosting and isometric stratified ensemble mapping by Gabriela Falcón-Cano, Aliuska Morales-Helguera, Heather Lambert, Miguel-Ángel Cabrera-Pérez, Christophe Molina

Subjects: Get full text

ENHANCING CYBERSECURITY THROUGH MALWARE DETECTION BASED ON MACHINE LEARNING TECHNIQUE by Amer Mohamed Shhatha, Omar Ibrahim Alsaif

Subjects: Get full text

A Comparative Analysis of Machine Learning Models for Predicting EFL Student Language Performance in Smart Learning Environments by Banchakarn Sameephet, Wirapong Chansanam, Mahboubeh Rakhshandehroo, Chawin Srisawat, Kittichai Nilubol, Arnon Jannok, Bhirawit Satthamnuwong, Kornwipa Poonpon

Subjects: Get full text

Automatic Meniscus Segmentation Using YOLO-Based Deep Learning Models with Ensemble Methods in Knee MRI Images by Mehmet Ali Şimşek, Ahmet Sertbaş, Hadi Sasani, Yaşar Mahsut Dinçel

Subjects: Get full text

Enhancing Machine Learning Models Through PCA, SMOTE-ENN, and Stochastic Weighted Averaging by Youngjin Han, Inwhee Joe

Subjects: Get full text

Enhancing credit card fraud detection: the impact of oversampling rates and ensemble methods with diverse feature selection by Mohamed Akouhar, Abdallah Abarda, Mohamed El Fatini, Mohamed Ouhssini

Subjects: Get full text

Transparent and reliable construction cost prediction using advanced machine learning and explainable AI by Lifei Chen, Changyong Xu, Wei Hong Lim, Abhishek Sharma, Sew Sun Tiang, Kim Soon Chong, El-Sayed M. El-kenawy, Amel Ali Alhussan, Marwa M. Eid, Doaa Sami Khafaga

Subjects: Get full text

Comparative Analysis of Machine Learning Models for Predicting Innovation Outcomes: An Applied AI Approach by Marko Martinović, Kristian Dokic, Dalibor Pudić

Subjects: Get full text

Predictive performance and uncertainty analysis of ensemble models in gully erosion susceptibility assessment by Congtan Liu, Haoming Fan, Yixuan Wang

Subjects: Get full text

Optimized predictive maintenance for streaming data in industrial IoT networks using deep reinforcement learning and ensemble techniques by K. Varalakshmi, J. Kumar

Subjects: Get full text

An In-depth overview of artificial intelligence (AI) tool utilization across diverse phases of organ transplantation by Shiva Arjmandmazidi, Hamid Reza Heidari, Tohid Ghasemnejad, Zeinab Mori, Leila Molavi, Amir Meraji, Shadi Kaghazchi, Elnaz Mehdizadeh Aghdam, Soheila Montazersaheb

Subjects: Get full text

Enhancing diabetes risk prediction: A comparative evaluation of bagging, boosting, and ensemble classifiers with SMOTE oversampling by Rabia Asif, Darshana Upadhyay, Marzia Zaman, Srini Sampalli

Subjects: Get full text

Leveraging Machine Learning for Pediatric Appendicitis Diagnosis: A Retrospective Study Integrating Clinical, Laboratory, and Imaging Data by Mahdi Navaei, Zohre Doogchi, Fatemeh Gholami, Moein Kermanizadeh Tavakoli

Subjects: Get full text

Ensemble automated approaches for producing high‐quality herbarium digital records by Robert P. Guralnick, Raphael LaFrance, Julie M. Allen, Michael W. Denslow

Subjects: Get full text