Results 51 to 60 of about 36,115 (166)

Performance Of Transmultiplexers Based On Oversampled Filter Banks Under Variable Oversampling Ratios

, 2010
Publication in the conference proceedings of EUSIPCO, Aalborg, Denmark ...
Weiss, Stephan, Millar, Andrew Paul, Stewart, Robert, Macleod, Malcolm   +3 more
openaire   +4 more sources

APPLICATION OF SUPPORT VECTOR MACHINE FOR CLASS IMBALANCE LEARNING TO PREDICT ANTICANCER COMPOUNDS OF MEDICINAL PLANTS IN WEST SULAWESI

Barekeng
Indonesian medicinal plants, such as turmeric and soursop, have shown promising anticancer properties through their bioactive compounds, like curcumin and extracts from soursop.
Hikmah Hikmah, Nur Hilal A Syahrir, Putri Indi Rahayu   +2 more
doaj   +1 more source

Oversampling Method for Imbalanced Classification.

Comput. Informatics, 2015
Classification problem for imbalanced datasets is pervasive in a lot of data mining domains. Imbalanced classification has been a hot topic in the academic community. From data level to algorithm level, a lot of solutions have been proposed to tackle the problems resulted from imbalanced datasets.
Zheng, Zhuoyuan, Cai, Yunpeng, Li, Ye
openaire   +1 more source

A transmission line fault identification method based on Deep Forest and SMOTE

Zhejiang dianli
Power transmission line faults exhibit multi-causal origins and imbalanced occurrence frequencies across fault types， resulting in significant class imbalance in transient waveform data.
JIANG Kaihua, ZHANG Yong, XIE Yingpu, LI Te, WANG Shaohua, LEI Mengfei, WANG Bowen   +6 more
doaj   +1 more source

Do Gender, Experience, Age, and Expectations Influence the Use of AI? A Binary Logistic Regression Analysis Applied to Entrepreneurship Students

Education Sciences
Based on data from 208 students involved in entrepreneurship studies at Tecnológico de Monterrey, Mexico, this paper examines whether prior experience with AI, expectations, gender, and age reinforce future AI use.
José Manuel Saiz-Alvarez, Lizette Huezo-Ponce   +1 more
doaj   +1 more source

On Orthogonal Wavelets with the Oversampling Property

Journal of Fourier Analysis and Applications, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Kinerja Naive Bayes dan SVM pada Data Survei Tidak Seimbang: Studi Klasifikasi Kepuasan Masyarakat

Edumatic
The utilization of Public Satisfaction Survey (SKM) data has not been optimal, highlighting the need for an effective classification method to determine the level of public satisfaction.
Mellynda Noor Romadhoni, Nurul Anisa Sri Winarsih   +1 more
doaj   +1 more source

A Systematic Analysis of Oversampling and Classic Machine Learning Pipelines for Multilingual Offensive Language Detection in Resource-Constrained Scenarios

IEEE Access
While recent advances in Natural Language Processing (NLP) are increasingly dominated by large-scale deep learning (DL), the detection of offensive language in real-world applications still relies heavily on classical machine learning (ML) approaches due
Avital Rozenthal, Avigail Stekel, Yaakov Hacohen-Kerner   +2 more
doaj   +1 more source

Accuracy and Stability of CUR Decompositions with Oversampling

SIAM Journal on Matrix Analysis and Applications
This work investigates the accuracy and numerical stability of CUR decompositions with oversampling. The CUR decomposition approximates a matrix using a subset of columns and rows of the matrix. When the number of columns and the rows are the same, the CUR decomposition can become unstable and less accurate due to the presence of the matrix inverse in ...
Taejun Park, Yuji Nakatsukasa
openaire   +3 more sources

IA-KNNR: A Novel Imbalance-Aware Approach for Handling Multi-Label Class Imbalance Problem

IEEE Access
Multi-label learning (MLL) is a supervised learning where the classifier needs to learn from the data where one instance can belong to more than one class (label).
Himanshu Suyal, Shiv Naresh Shivhare, Gulshan Shrivastava, Rohit Singh, Ansh Singhal   +4 more
doaj   +1 more source