Results 51 to 60 of about 2,967,782 (299)
SPG4 and Dementia: Expanding the Clinical Spectrum
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza +19 more
wiley +1 more source
Unsupervised clustering approach for network anomaly detection
, 2012 This paper describes the advantages of using the anomaly detection approach over the misuse detection technique in detecting unknown network intrusions or attacks.
Syarif, Iwan +2 more
core +1 more source
Unsupervised Anomaly Detection: investigations on Isolation Forest [PDF]
, 2022 openNel mondo di oggi, la crescente quantità di informazioni disponibili rende possibile analizzare diversi fattori. Uno di questo fattori è il rilevamento delle anomalie.
SAVARINO, VINCENZO
core
RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
wiley +1 more source
, 2019 <p>Anomaly detection implemented in Keras</p ...
Chen, Xianshun, Chen, Xianshun (6828593)
core +1 more source
Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons +33 more
wiley +1 more source
Autonomous anomaly detection [PDF]
2017 Evolving and Adaptive Intelligent Systems (EAIS), 2017 In this paper, a new approach for autonomous anomaly detection is introduced within the Empirical Data Analytics (EDA) framework. This approach is fully data-driven and free from thresholds. Employing the nonparametric EDA estimators, the proposed approach can autonomously detect anomalies in an objective way based on the mutual distribution and ...
Gu, Xiaowei, Angelov, Plamen Parvanov
openaire +1 more source
Suspicious and Anomaly Detection
CoRR, 2022 7 pages, 10 ...
Shubham Deshmukh +4 more
openaire +2 more sources
Integrating State-of-the-Art Approaches for Anomaly Detection and Localization in the Continual Learning Setting [PDF]
, 2023 openThe significant attention surrounding the application of anomaly detection (AD) in identifying defects within industrial environments using only normal samples has prompted research and development in this area.
BUGARIC, JOVANA
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay +13 more
wiley +1 more source