Results 111 to 120 of about 103,585 (306)

Imbalanced Learning with Parametric Linear Programming Support Vector Machine For Weather Data Application [PDF]

, 2019
Learning from imbalanced data sets is one of the aspects of predictive modeling and machine learning that has taken a lot of attention in the last decade.
Jafarigol, Elaheh
core  

Clinical Spectrum and Outcomes of SOX1 Antibody‐Associated Paraneoplastic Neurological Syndromes: A Chinese Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background SOX1 antibody‐positive paraneoplastic neurological syndromes (PNS) exhibit significant population‐specific clinical heterogeneity. While Western cohorts predominantly manifest Lambert‐Eaton myasthenic syndrome (65%–80%), comprehensive clinical characterization and treatment response data in Asian populations remain critically ...
Jin‐Long Ye, Zu‐Ying Kuang, Bo Li, Meng‐Qiu Pan, Li‐Hua Zhou, Yang‐Yang Dai, Si‐Fen Xie, Xian‐Guang Lin, Ye‐Peng Hu, Li‐Hong Jiang, Zhan‐Hang Wang, Wei‐Jing Zhang   +11 more
wiley   +1 more source

SABI: Self-Adaptive Bias for Imbalanced Data Classification

Applied Sciences
Class imbalance remains a significant challenge in classification, often leading to poor generalization on underrepresented classes. While Oversampling methods mitigate this issue by replicating minority class instances to balance class distributions ...
Suchan Choi, Jinyoung Oh, Jeong-Won Cha
doaj   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +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

Classification performance assessment for imbalanced multiclass data

Scientific Reports
The evaluation of diagnostic systems is pivotal for ensuring the deployment of high-quality solutions, especially given the pronounced context-sensitivity of certain systems, particularly in fields such as biomedicine.
Jesús S. Aguilar-Ruiz, Marcin Michalak
doaj   +1 more source

Framework for imbalanced data classification

Procedia Computer Science, 2021
Mikolaj Blaszczyk, Joanna Jedrzejowicz
openaire   +1 more source

Classifying Multiple imbalanced attributes in relational data [PDF]

, 2009
Real-world data are often stored as relational database systems with different numbers of significant attributes. Unfortunately, most classification techniques are proposed for learning from balanced nonrelational data and mainly for classifying one ...
Amal S. Ghanem, West, Geoffrey, Svetha Venkatesh, Venkatesh, Svetha, Geoff West, Ghanem, Amal   +5 more
core   +1 more source

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

Classification of imbalanced data by combining the complementary neural network and SMOTE algorithm

, 2010
In classification, when the distribution of the training data among classes is uneven, the learning algorithm is generally dominated by the feature of the majority classes.
Wong, K.W., Fung, C.C., Jeatrakul, P.
core