Results 1 to 10 of about 527,011 (237)

Navigating extreme class imbalance in suicide risk prediction. [PDF]

open access: yesFront Psychiatry
BackgroundThe implementation of suicide risk models is challenging because the conditions in which they are developed often do not reflect those in which they are being used.
Kitchen C   +4 more
europepmc   +2 more sources

Optimizing Class Imbalance in Facial Expression Recognition Using Dynamic Intra-Class Clustering. [PDF]

open access: yesBiomimetics (Basel)
While deep neural networks demonstrate robust performance in visual tasks, the long-tail distribution of real-world data leads to significant recognition accuracy degradation in critical scenarios such as medical human–robot affective interaction ...
Li Q   +8 more
europepmc   +2 more sources

A novel generative adversarial networks modelling for the class imbalance problem in high dimensional omics data. [PDF]

open access: yesBMC Med Inform Decis Mak
Class imbalance remains a large problem in high-throughput omics analyses, causing bias towards the over-represented class when training machine learning-based classifiers.
Cusworth S, Gkoutos GV, Acharjee A.
europepmc   +2 more sources

DATA IMBALANCE IN LANDSLIDE SUSCEPTIBILITY ZONATION: UNDER-SAMPLING FOR CLASS-IMBALANCE LEARNING [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Machine learning methods such as artificial neural network, support vector machine etc. require a large amount of training data, however, the number of landslide occurrences are limited in a study area.
S. K. Gupta   +3 more
doaj   +1 more source

Combining Hybrid Approach Redefinition-Multiclass Imbalance (HAR-MI) and Hybrid Sampling in Handling Multi-Class Imbalance and Overlapping

open access: yesJOIV: International Journal on Informatics Visualization, 2021
The class imbalance problem in the multi-class dataset is more challenging to manage than the problem in the two classes and this problem is more complicated if accompanied by overlapping.
Hartono Hartono, Erianto Ongko
doaj   +1 more source

A Hybrid Sampling Approach for Imbalanced Binary and Multi-Class Data Using Clustering Analysis

open access: yesIEEE Access, 2022
Unequal data distribution among different classes usually cause a class imbalance problem. Due to the class imbalance, the classification models become biased toward the majority class and misclassify the minority class.
Abdul Sattar Palli   +4 more
doaj   +1 more source

Experimental Comparison of Classification Methods under Class Imbalance [PDF]

open access: yesEAI Endorsed Transactions on Scalable Information Systems, 2021
The class imbalance problem is prevalent in many domains including medical, natural language processing, image recognition, economic and geographic areas etc.
Hui Chen, Mengru Ji
doaj   +1 more source

ADASYN-LOF Algorithm for Imbalanced Tornado Samples

open access: yesAtmosphere, 2022
Early warning and forecasting of tornadoes began to combine artificial intelligence (AI) and machine learning (ML) algorithms to improve identification efficiency in the past few years.
Zhipeng Qing   +5 more
doaj   +1 more source

Work–life balance/imbalance: the dominance of the middle class and the neglect of the working class [PDF]

open access: yes, 2015
The paper was stimulated by the question of class in work-life debates. The common conclusion from work-life studies is that work-life imbalance is largely a middle class problem.
Warren, Tracey
core   +4 more sources

Impact of class distribution on the detection of slow HTTP DoS attacks using Big Data

open access: yesJournal of Big Data, 2019
The integrity of modern network communications is constantly being challenged by more sophisticated intrusion techniques. Attackers are consistently shifting to stealthier and more complex forms of attacks in an attempt to bypass known mitigation ...
Chad L. Calvert, Taghi M. Khoshgoftaar
doaj   +1 more source

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