Results 11 to 20 of about 24,275,785 (260)
Lipidome data of study on the interaction of phospholipid imbalance and ER imbalance
, 2021 Lipidome data of study on the interaction of phospholipid imbalance and ER ...
Dong, H (via Mendeley Data)
core +3 more sources
SIMBA: A robust and generalizable measure of data imbalance. [PDF]
Patterns (N Y)Ranging from health to cybersecurity, real-world data are heavily imbalanced. Handling imbalance is among the formidable challenges of machine learning (ML), as it deteriorates ML’s performance, yielding biased results toward majority classes.
Pivin-Bachler JR, van den Broek EL.
europepmc +2 more sources
Data Imbalance Immunity Bone Age Assessment System Using Independent Autoencoders
Applied Sciences, 2022 Bone age assessment (BAA) is an important indicator of child maturity. Generally, a person is evaluated for bone age mostly during puberty stage; compared to toddlers and post-puberty stages, the data of bone age at puberty stage are much easier to ...
Ching-Tung Peng +2 more
doaj +1 more source
Research on hybrid intrusion detection based on improved Harris Hawk optimization algorithm
Connection Science, 2023 Aiming at the problem of low detection accuracy of network traffic data types by traditional intrusion detection methods, we propose an improved Harris Hawk hybrid intrusion detection method to enhance the detection capability.
Pengzhen Zhou, Huifu Zhang, Wei Liang
doaj +1 more source
Effort-reward imbalance and sedentary lifestyle: an observational study in a large occupational cohort [PDF]
, 2006 Objectives: To investigate the association between effort-reward imbalance (ERI) at work and sedentary lifestyle. Methods: Cross-sectional data from the ongoing Finnish Public Sector Study related to 30 433 women and 7718 men aged 17-64 were used (n ...
Vahtera, Jussi +20 more
core +1 more source
An AUC-based Permutation Variable Importance Measure for Random Forests [PDF]
, 2012 The random forest (RF) method is a commonly used tool for classification with high dimensional data as well as for ranking candidate predictors based on the so-called random forest variable importance measures (VIMs).
Silke Janitza +5 more
core +1 more source
Energies, 2022 The imbalance of data samples and fluctuating operating conditions are the two main challenges faced by vibration data-driven fault diagnosis for the iron core looseness of saturable reactors in UHVDC thyristor valves.
Xiaolong Zhang +4 more
doaj +1 more source
Research on Attack Detection of Cyber Physical Systems Based on Improved Support Vector Machine
Mathematics, 2022 Cyber physical systems (CPS), in the event of a cyber attack, can have a serious impact on the operating physical equipment. In order to improve the attack detection capability of CPS, an support vector machine (SVM) attacks detection model based on ...
Fengchun Liu +3 more
doaj +1 more source
Robust Attentive Deep Neural Network for Detecting GAN-Generated Faces
IEEE Access, 2022 Generative Adversarial Network (GAN) based techniques can generate and synthesize realistic faces that cause profound social concerns and security problems.
Hui Guo +4 more
doaj +1 more source
Replication Data Based on the IZA Evaluation Dataset Survey
, 2023 The provided dataset contains survey information on the job search behavior of unemployed job seekers based on the IZA Evaluation Dataset Survey. The survey contains information on respondents who were interviewed 7-14 weeks after they became unemployed
Mahlstedt, Robert +2 more
core +1 more source