Results 71 to 80 of about 2,374,745 (297)

Regularization for Deep Imbalanced Regression Based on Quantitative Relationship

Big Data Mining and Analytics
Imbalanced datasets are prevalent in real life. The imbalanced datasets pose challenges for classification and regression tasks. Compared to imbalanced classification, imbalanced regression deals with continuous labels. The positional relationship of the
Heng Zhao, Jiehao Chen, Xianghua Fu
doaj   +1 more source

Evolutionary deep belief networks with bootstrap sampling for imbalanced class datasets

IJAIN (International Journal of Advances in Intelligent Informatics), 2019
Imbalanced class data is a common issue faced in classification tasks. Deep Belief Networks (DBN) is a promising deep learning algorithm when learning from complex feature input.
A’inur A’fifah Amri, Amelia Ritahani Ismail, Omar Abdelaziz Mohammad   +2 more
doaj   +1 more source

Generation of Controlled Synthetic Samples and Impact of Hyper-Tuning Parameters to Effectively Classify the Complex Structure of Overlapping Region

Applied Sciences, 2022
The classification of imbalanced and overlapping data has provided customary insight over the last decade, as most real-world applications comprise multiple classes with an imbalanced distribution of samples.
Zafar Mahmood, Naveed Anwer Butt, Ghani Ur Rehman, Muhammad Zubair, Muhammad Aslam, Afzal Badshah, Syeda Fizzah Jilani   +6 more
doaj   +1 more source

An Improved VGG19 Transfer Learning Strip Steel Surface Defect Recognition Deep Neural Network Based on Few Samples and Imbalanced Datasets

Applied Sciences, 2021
The surface defects’ region of strip steel is small, and has various defect types and, complex gray structures. There tend to be a large number of false defects and edge light interference, which lead traditional machine vision algorithms to be unable to
Xiang Wan, X. Zhang, Lilan Liu
semanticscholar   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

An improved SMOTE algorithm for enhanced imbalanced data classification by expanding sample generation space

Scientific Reports
Class imbalance in datasets often degrades the performance of classification models. Although the Synthetic Minority Over-sampling Technique (SMOTE) and its variants alleviate this issue by generating synthetic samples, they frequently overlook local ...
Ying Li, Yali Yang, Peihua Song, Lian Duan, Rui Ren   +4 more
doaj   +1 more source

Detecting SNP–SNP Interactions in Imbalanced Case-Control Study

IEEE Access, 2019
SNP–SNP interactions are particularly informative biomarkers regarding the genetic components of disease risk. However, SNP–SNP interaction identifications are yet limited in imbalanced case–control study.
Cheng-Hong Yang, Li-Yeh Chuang, Yu-Da Lin   +2 more
doaj   +1 more source

TGT: A Novel Adversarial Guided Oversampling Technique for Handling Imbalanced Datasets

Egyptian Informatics Journal, 2021
With the volume of data increasing exponentially, there is a growing interest in helping people to benefit from their data regardless of its poor quality.
Ayat Mahmoud, Ayman El-Kilany, Farid Ali, Sherif Mazen   +3 more
doaj   +1 more source

MEA-Net: A Lightweight SAR Ship Detection Model for Imbalanced Datasets

Remote Sensing, 2022
The existing synthetic aperture radar (SAR) ship datasets have an imbalanced number of inshore and offshore ship targets, and the number of small, medium and large ship targets differs greatly.
Yiyu Guo, Luoyu Zhou
semanticscholar   +1 more source

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

Molecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary, Jose Javier Bravo‐Cordero   +1 more
wiley   +1 more source