Results 121 to 130 of about 4,590,312 (339)

Impact of class-imbalance on multi-class high-dimensional class prediction

Advances in Methodology and Statistics, 2012
The goal of multi-class supervised classification is to develop a rule that accurately predicts the class membership of new samples when the number of classes is larger than two. In this paper we consider high-dimensional class-imbalanced data: the number of variables greatly exceeds the number of samples and the number of samples in each class is not ...
Blagus, Rok, Lusa, Lara
openaire   +4 more sources

Klasifikasi dengan Menggunakan Algoritma PNrule pada Kasus Imbalance Class Classification using PNrule Algorithm in Class Imbalance Problem [PDF]

, 2009
ABSTRAKSI: Permasalahan data dengan distribusi kelas tidak seimbang atau yang dikenal dengan class imbalance problem banyak ditemukan dalam permasalahan dunia nyata. Dalam beberapa kasus, data minoritas dalam dataset bernilai lebih potensial dibandingkan
Suci Ayu Nurmala
core  

Addressing Class Imbalance in Aeroengine Fault Detection

, 2023
Data-driven approach to fault detection in aeroengine has received considerable attention owing to the availability of engine sensor information for locating and classifying faults.
Udu, Amadi Gabriel, Ghalati, Maryam Khaksar, Dong, Hongbiao; id_orcid, Lecchini-Visintini, Andrea   +3 more
core   +1 more source

Five‐Year Disease Progression in Synuclein Seeding Positive Sporadic Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To provide a comprehensive description of disease progression in synuclein seeding assay (SAA) positive sporadic Parkinson Disease participants, using Neuronal Synuclein Disease integrated biological and functional impairment staging framework.
Paulina Gonzalez‐Latapi, Caroline Gochanour, Seung Ho Choi, Hyunkeun Cho, Chelsea Caspell‐Garcia, Christopher Coffey, Michael Brumm, David‐Erick Lafontant, Yuge Xiao, Thomas Tropea, John Seibyl, Caroline Tanner, Charles S. Venuto, Karl Kieburtz, Lana M. Chahine, Kathleen L. Poston, Andrew Siderowf, Kenneth Marek, Tanya Simuni, The Parkinson's Progression Markers Initiative   +19 more
wiley   +1 more source

MKC-SMOTE: A Novel Synthetic Oversampling Method for Multi-Class Imbalanced Data Classification

IEEE Access
The learning of multi-class imbalance problems presents greater challenges and has fewer research results compared to binary imbalance problems. Resampling techniques are widely employed to address data imbalance problems.
Jiao Wang, Norhashidah Awang
doaj   +1 more source

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher, Charles B. Malpas, Stuart J. McDonald, William T. O’Brien, Craig Despott, Kelly L. Bertram, Matthew P. Pase, Lukas Frontzkowski, Meng Law, Terence J. O’Brien, Lucy Vivash   +10 more
wiley   +1 more source

Risk-Sensitive Machine Learning for Financial Decision Modeling Under Imbalanced Data: Evidence from Bank Telemarketing

Entropy
Bank telemarketing campaigns often experience low subscription rates due to customer heterogeneity and severe class imbalance, which pose challenges for reliable predictive modeling.
Bowen Dong, Xinyu Zhang, Yang Liu, Tianhui Zhang, Xianchen Liu, Lingmin Hou, Lingyi Meng, Zhen Guo, Aliya Mulati   +8 more
doaj   +1 more source

On the Robustness of Compressed Models with Class Imbalance

Computers
Deep learning (DL) models have been deployed in various platforms, including resource-constrained environments such as edge computing, smartphones, and personal devices. Such deployment requires models to have smaller sizes and memory footprints. To this end, many model compression techniques proposed in the literature successfully reduce model sizes ...
Baraa Saeed Ali, Nabil J. Sarhan, Mohammed Alawad   +2 more
openaire   +2 more sources

Air Pollution and the Risk and Progression of Multiple Sclerosis: A Systematic Review and Meta‐Analysis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Purpose Air pollution has been linked to several neurological conditions, including stroke and neurodegenerative diseases. Evidence regarding its association with multiple sclerosis (MS) remains conflicting, limited by small sample sizes. Methods PubMed, Embase, Scopus, and Cochrane controlled register of trials (CENTRAL) were searched on ...
Ahmad A. Toubasi, Thuraya N. Al‐Sayegh
wiley   +1 more source

Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati, Sami I. Nassar, Shaun A. Nguyen, Patricia L. Gerend, Michael C. Schubert, Michael T. Teixido, Frederick A. Godley, Joel A. Goebel, Cynthia A. Ryan, Habib G. Rizk, Amir Kheradmand   +10 more
wiley   +1 more source