Results 251 to 260 of about 38,801 (275)

Optimization of multisine excitations for receiver undersampling

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010
An algorithm for optimizing the frequency distribution of an arbitrary multisine signal is presented to reduce the power consumption and computational complexity of a multisine receiver. By careful selection or adjustment of each frequency component in the applied multisine signal, undersampling and frequency aliasing in the receiver can be used to ...
Michael J. Schmitz, Roger A. Green
openaire   +1 more source

AN EMPIRICAL EVALUATION OF REPETITIVE UNDERSAMPLING TECHNIQUES

International Journal of Software Engineering and Knowledge Engineering, 2010
Class imbalance is a fundamental problem in data mining and knowledge discovery which is encountered in a wide array of application domains. Random undersampling has been widely used to alleviate the harmful effects of imbalance, however, this technique often leads to a substantial amount of information loss. Repetitive undersampling techniques, which
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano   +2 more
openaire   +1 more source

A novel progressively undersampling method based on the density peaks sequence for imbalanced data

Knowledge-Based Systems, 2021
Huawen Liu, Shouzhen Zeng
exaly  

Relevant information undersampling to support imbalanced data classification

Neurocomputing, 2021
G Castellanos-Dominguez
exaly  

UFFDFR: Undersampling framework with denoising, fuzzy c-means clustering, and representative sample selection for imbalanced data classification

Information Sciences, 2021
Ming Zheng, Tong Li, Xiaoyao Zheng
exaly  

Spatial Distribution-based Imbalanced Undersampling

IEEE Transactions on Knowledge and Data Engineering, 2022
Yuan-Ting Yan, Yuanwei Zhu, Ruiqing Liu, Yiwen Zhang 0001, Yanping Zhang 0001, Ling Zhang 0001   +5 more
openaire   +1 more source

EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification

Applied Soft Computing Journal, 2021
Hoang Lam Le, Dario Landa-Silva, Mikel Galar   +2 more
exaly  

Entropy and Confidence-Based Undersampling Boosting Random Forests for Imbalanced Problems

IEEE Transactions on Neural Networks and Learning Systems, 2020
Zhe Wang, YuJin Zhu
exaly  

Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification Problems

IEEE Transactions on Cybernetics, 2022
W Y nG, Shichao Xu, Jianjun Zhang
exaly  

2D probabilistic undersampling pattern optimization for MR image reconstruction

Medical Image Analysis, 2022
Shengke Xue, Zhaowei Cheng, Ke Fang
exaly