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Analysis of Proposed and Traditional Boosting Algorithm with Standalone Classification Methods for Classifying Gene Expresssion Microarray Data Using a Reject Option., , , , , , , и . Appl. Artif. Intell., (декабря 2022)Automated Multi-class Brain Tumor Types Detection by Extracting RICA Based Features and Employing Machine Learning Techniques., , , и . MLCN/RNO-AI@MICCAI, том 12449 из Lecture Notes in Computer Science, стр. 249-258. Springer, (2020)Anomaly Detection for Cyber Internet of Things Attacks: A Systematic Review., , , , и . Appl. Artif. Intell., (декабря 2022)Smart Cities-Based Improving Atmospheric Particulate Matters Prediction Using Chi-Square Feature Selection Methods by Employing Machine Learning Techniques., , , , , , , и . Appl. Artif. Intell., (2022)Analyzing the Dynamics of Lung Cancer Imaging Data Using Refined Fuzzy Entropy Methods by Extracting Different Features., , , , , и . IEEE Access, (2019)Machine Learning Based Cost Effective Electricity Load Forecasting Model Using Correlated Meteorological Parameters., , , , , , , и . IEEE Access, (2020)Detecting brain tumors using deep learning convolutional neural network with transfer learning approach., , , , , , , , , и . Int. J. Imaging Syst. Technol., 32 (1): 307-323 (2022)Automated breast cancer detection by reconstruction independent component analysis (RICA) based hybrid features using machine learning paradigms., , , , , , , , и . Connect. Sci., 34 (1): 2784-2806 (2022)A multi-modal, multi-atlas-based approach for Alzheimer detection via machine learning., , , , , и . Int. J. Imaging Syst. Technol., 28 (2): 113-123 (2018)EML-PSP: A novel ensemble machine learning-based physical security paradigm using cross-domain ultra-fused feature extraction with hybrid data augmentation scheme., , , , , , , и . Expert Syst. Appl., (2024)