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Class Weighting Approach For Handling Imbalanced Data On Forest Fire Classification Using EfficientNet-B1
Published 2025-01-01Subjects: Get full text
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Features of Administrative and Legal Regulation of Protecting Forestry Fund Land in Ukraine
Published 2019-12-01Subjects: Get full text
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Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework
Published 2025-01-01Subjects: Get full text
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Optimizing Classification Decision Trees by Using Weighted Naïve Bayes Predictors to Reduce the Imbalanced Class Problem in Wireless Sensor Network
Published 2013-01-01“…Standard classification algorithms are often inaccurate when used in a wireless sensor network (WSN), where the observed data occur in imbalanced classes. The imbalanced data classification problem occurs when the number of samples in one class, usually the class of interest, is much lower than the number in the other classes. …”
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Cost-Sensitive Support Vector Machine Using Randomized Dual Coordinate Descent Method for Big Class-Imbalanced Data Classification
Published 2014-01-01“…Cost-sensitive support vector machine is one of the most popular tools to deal with class-imbalanced problem such as fault diagnosis. However, such data appear with a huge number of examples as well as features. …”
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On the Heating of the Slow Solar Wind by Imbalanced Alfvén-wave Turbulence from 0.06 to 1 au: Parker Solar Probe and Solar Orbiter Observations
Published 2024-01-01“…In this work we analyze plasma and magnetic field data provided by the Parker Solar Probe and Solar Orbiter missions to investigate the radial evolution of the heating of Alfvénic slow wind by imbalanced Alfvén-wave (AW) turbulent fluctuations from 0.06 to 1 au. in our analysis we focus on slow solar-wind intervals with highly imbalanced and incompressible turbulence (i.e., magnetic compressibility C _B = δ B / B ≤ 0.25, plasma compressibility C _n = δ n / n ≤ 0.25, and normalized cross helicity σ _c ≥ 0.65). …”
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An imbalanced deep learning framework for pre-fault flexible multi-zone dynamic security assessment via transfer learning based graph convolutional network
Published 2025-03-01“…This causes the training database to be imbalanced and reduces the model's efficiency. This paper addresses these two challenges with the help of transfer learning (TL) and conditional tabular generative adversarial networks (CTGAN). …”
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Hybrid clustering strategies for effective oversampling and undersampling in multiclass classification
Published 2025-01-01Subjects: Get full text
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Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning
Published 2024-06-01Subjects: Get full text
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Sensor Image, Anomaly Detection Method for Hydroelectric Dam Structure Using Sensors Measurements and Deep Learning
Published 2025-01-01Subjects: Get full text
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Advanced Credit Card Fraud Detection: An Ensemble Learning Using Random Under Sampling and Two-Stage Thresholding
Published 2024-01-01Subjects: Get full text
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A Novel Ensemble Classifier Selection Method for Software Defect Prediction
Published 2025-01-01Subjects: Get full text
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One size does not fit all: revising traditional paradigms for assessing accuracy of QSAR models used for virtual screening
Published 2025-01-01Subjects: Get full text
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An Evaluation of Variational Autoencoder in Credit Card Anomaly Detection
Published 2024-09-01Subjects: Get full text
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Enforcement of environmental law through citizen lawsuit in administrative court
Published 2025-01-01Get full text
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Internationalization and the Degradation of Jepara Carving Traditions in the Beginning of 21st Century
Published 2024-08-01Get full text
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Confirmation of Thermal Images and Vibration Signals for Intelligent Machine Fault Diagnostics
Published 2012-01-01Get full text
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