Results 31 to 40 of about 40,795 (265)

Effect of De-noising by Wavelet Filtering and Data Augmentation by Borderline SMOTE on the Classification of Imbalanced Datasets of Pig Behavior

Frontiers in Animal Science, 2021
Classification of imbalanced datasets of animal behavior has been one of the top challenges in the field of animal science. An imbalanced dataset will lead many classification algorithms to being less effective and result in a higher misclassification ...
Min Jin, Chunguang Wang, Dan Børge Jensen   +2 more
doaj   +1 more source

Active Class Incremental Learning for Imbalanced Datasets [PDF]

, 2020
Accepted in IPCV workshop from ...
Eden Belouadah, Adrian Popescu 0001, Umang Aggarwal, Léo Saci   +3 more
openaire   +2 more sources

A Hybrid Sampling SVM Approach to Imbalanced Data Classification

Abstract and Applied Analysis, 2014
Imbalanced datasets are frequently found in many real applications. Resampling is one of the effective solutions due to generating a relatively balanced class distribution.
Qiang Wang
doaj   +1 more source

Lightweight Micro-Expression Recognition on Composite Database

Applied Sciences, 2023
The potential of leveraging micro-expression in various areas such as security, health care and education has intensified interests in this area. Unlike facial expression, micro-expression is subtle and occurs rapidly, making it imperceptible.
Nur Aishah Ab Razak, Shahnorbanun Sahran
doaj   +1 more source

Posterior Re-calibration for Imbalanced Datasets

CoRR, 2020
Accepted to NeurIPS ...
Junjiao Tian, Yen-Cheng Liu, Nathaniel Glaser, Yen-Chang Hsu, Zsolt Kira   +4 more
openaire   +3 more sources

Imbalanced SVM-Based Anomaly Detection Algorithm for Imbalanced Training Datasets [PDF]

ETRI Journal, 2017
Abnormal samples are usually difficult to obtain in production systems, resulting in imbalanced training sample sets. Namely, the number of positive samples is far less than the number of negative samples. Traditional Support Vector Machine (SVM)‐based anomaly detection algorithms perform poorly for highly imbalanced datasets: the learned ...
GuiPing Wang, JianXi Yang, Ren Li
openaire   +2 more sources

Admixture Mapping Reveals Candidate Regions for Methotrexate Neurotoxicity Susceptibility: A Reducing Disparities in Acute Leukemia Consortium Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Neurotoxicity is a rare, often dose‐limiting adverse effect of methotrexate (MTX) therapy that disproportionally affects Latino children. Factors contributing to the observed disparity are not well understood. This study leveraged admixture mapping to identify genetic regions associated with MTX‐related neurotoxicity susceptibility ...
Rachel D. Harris, Priya B. Shetty, Olga A. Taylor, Elizabeth G. Atkinson, Melissa A. Richard, M. Monica Gramatges, Mark Zobeck, Sandi Pruitt, Amy Hughes, M. Brooke Bernhardt, Ashley Chavana, Van Huynh, Kathleen Ludwig, Laura Klesse, Kenneth Heym, Timothy Griffin, Rodrigo Erana, Juan Carlos Bernini, Han Chen, Bing Yu, Philip J. Lupo, Karen R. Rabin, Michael E. Scheurer, Austin L. Brown, The REDIAL Consortium   +24 more
wiley   +1 more source

On Hierarchical Composite Endpoints in Pediatric Cancer Supportive Care: Illustrative Examples From Two Multi‐Center Phase‐III Randomized Clinical Trials

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier, Mark Zobeck, Adam J. Esbenshade, Christopher C. Dvorak, Lillian Sung, David Freyer, Sarah Alexander, Etan Orgel, Nicole J. Ullrich, Zach Prudowsky, Brian Fisher, Caitlin W. Elgarten   +11 more
wiley   +1 more source

Research on intrusion detection method of marine meteorological sensor network based on anomalous behaviors

Tongxin xuebao, 2023
To deal with the abnormal data flow attacks faced by the marine meteorological sensor network (MMSN), analyze the security mechanism, and aim at the complex and huge network structure and the extremely imbalanced data flow in the nodes, the intrusion ...
Xin SU, Tian TIAN, Gong Ziyang, Yiqing ZHOU   +3 more
doaj   +2 more sources

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

FEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source