Results 101 to 110 of about 93,524 (286)

Oversampling Method for Imbalanced Classification.

Comput. Informatics, 2016
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

Predicting six month follow‐up of suicidal thoughts and attempts among youth with anxiety presenting to an emergency department

JCPP Advances, EarlyView.
Abstract Background Previous research has established an association between anxiety disorders and suicidal thoughts and attempts; however, much remains unknown about the role of specific anxiety symptoms, anxiety severity, and the impact of co‐occurring depression and hopelessness.
Marianne G. Chirica, Lauren O’Reilly, Cheryl A. King, Steven A. Miller   +3 more
wiley   +1 more source

Comparative Analysis of Oversampling and SMOTEENN Techniques in Machine Learning Algorithms for Breast Cancer Prediction

Sistemasi: Jurnal Sistem Informasi
Breast cancer is the leading cause of cancer-related death among women, with one of the major challenges in developing predictive models being the class imbalance in medical datasets.
Tri Yulian, Erliyan Redy Susanto
doaj   +1 more source

Chronic Liver Disease: Assessing Inflammation and Fibrosis Using Three‐Dimensional MR Elastography With Same‐Day Biopsy in a Prospective Cohort

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Three‐dimensional (3D) MR elastography (MRE) derives viscoelastic parameters that may reflect inflammation, but their frequency dependence and the influence of steatosis on inflammation grading and fibrosis staging remain unclear. Purpose To investigate 3D multifrequency MRE for assessing hepatic inflammation, fibrosis stage across ...
Shan Cai, Christian Simonsson, Markus Karlsson, Wile Balkhed, Jens Tellman, Simone Ignatova, Patrik Nasr, Mattias Ekstedt, Stergios Kechagias, Wolf C. Bartholomä, Nils Dahlström, Peter Lundberg   +11 more
wiley   +1 more source

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

Optimal Selection of the Effective Echo Time (TEeff) for T2‐Weighted Fast‐Spin‐Echo MRI of the Prostate at 3.0 T: Effect on Lesion Conspicuity

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Clinical T2‐weighted (T2W) MRI of prostate cancer (PCa) usually implements a 2D fast‐spin‐echo (FSE) sequence, but understanding the echo‐time‐dependent contrast behavior is not straightforward due to the complicated FSE signal evolution.
Dahan Kim, Ronard Pabi, Eric A. Borisch, Adam T. Froemming, Roger C. Grimm, Sara Hassanzadeh, Akira Kawashima, Ayumu Kido, Naoki Takahashi, John V. Thomas, Stephen J. Riederer   +10 more
wiley   +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

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

, 2010
Publication in the conference proceedings of EUSIPCO, Aalborg, Denmark ...
Stephan Weiss 0001, Andrew P. Millar, Robert W. Stewart, Malcolm D. Macleod   +3 more
openaire   +3 more sources

Sampling Biases in Daily Average Temperatures From Greenland Climate Records

International Journal of Climatology, EarlyView.
Biases are introduced in the calculation of daily average temperatures due to uneven sampling times for the investigated weather station network in Greenland. The figure shows the network, an example of a daily temperature cycle with daily averages based on all or only two observations and an overview of how the number of observations per day changes ...
Dina Rapp, Bo M. Vinther, Jacob L. Høyer, Caroline D. Jensen, Johan H. Scheller   +4 more
wiley   +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