Results 111 to 120 of about 4,738,087 (364)

FadMan: Federated Anomaly Detection across Multiple Attributed Networks [PDF]

arXiv, 2022
Anomaly subgraph detection has been widely used in various applications, ranging from cyber attack in computer networks to malicious activities in social networks. Despite an increasing need for federated anomaly detection across multiple attributed networks, only a limited number of approaches are available for this problem.
arxiv  

Labeling Expert: A New Multi-Network Anomaly Detection Architecture Based on LNN-RLSTM

Applied Sciences, 2022
In network edge computing scenarios, close monitoring of network data and anomaly detection is critical for Internet services. Although a variety of anomaly detectors have been proposed by many scholars, few of these take into account the anomalies of ...
Xiaoyu Tang, Sijia Xu, Hui Ye
doaj   +1 more source

FGF14 GAA Intronic Expansion in Unsolved Adult‐Onset Ataxia in the Care4Rare Canada Consortium

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Spinocerebellar ataxias (SCA) represent a clinically and genetically heterogeneous group of progressive neurodegenerative diseases with prominent cerebellar atrophy. Recently, a novel pathogenic repeat expansion in intron 1 of FGF14 was identified, causing adult‐onset SCA (SCA27B). We aimed to determine the proportion
Alexanne Cuillerier, Giulia F. Del Gobbo, Layla Mackay, Erika Wall, Madeline Couse, Laura M. McDonell, Mireille Cloutier, Matt C. Danzi, Jodi Warman‐Chardon, Pierre R. Bourque, Oksana Suchowersky, Alan Mears, Luke Seldenthuis, Wendy Mears, Laura Larrigan, Alexandre White‐Brown, Gerald Pfeffer, Dennis E. Bulman, David Dyment, Care4Rare Canada Consortium, Kym M. Boycott   +20 more
wiley   +1 more source

Hyperspectral Anomaly Detection Based on Intrinsic Image Decomposition and Background Subtraction

IEEE Access
Hyperspectral anomaly detection is a detection of abnormal targets in a region based on spectral and spatial information under the premise of no prior knowledge of the target, which is a very important research topic in the field of remote sensing.
Jiao Jiao, Longlong Xiao, Chonglei Wang
doaj   +1 more source

Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series [PDF]

arXiv, 2023
Detecting rare events is essential in various fields, e.g., in cyber security or maintenance. Often, human experts are supported by anomaly detection systems as continuously monitoring the data is an error-prone and tedious task. However, among the anomalies detected may be events that are rare, e.g., a planned shutdown of a machine, but are not the ...
arxiv  

Anomaly Detection with Conditional Variational Autoencoders [PDF]

2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019
Presented at ICMLA ...
Pol, Adrian, Berger, Victor, Cerminara, Gianluca, Germain, Cécile, Pierini, Maurizio   +4 more
openaire   +8 more sources

Early Language Impairment as an Integral Part of the Cognitive Phenotype in Huntington's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Huntington's disease (HD) speech/language disorders have typically been attributed to motor and executive impairment due to striatal dysfunction. In‐depth study of linguistic skills and the role of extrastriatal structures in HD is scarce.
Arnau Puig‐Davi, Carla Franch‐Marti, Iñigo Ruiz‐Barrio, Frederic Sampedro, Jesus Perez‐Perez, Jordi A. Matias‐Guiu, Fernando Cuetos, Gonzalo Olmedo‐Saura, Laura Perez‐Carasol, Andrea Horta‐Barba, Ignacio Aracil‐Bolaños, Javier Pagonabarraga, Jaime Kulisevsky, Saul Martinez‐Horta   +13 more
wiley   +1 more source

Cerebral Amyloid Angiopathy Is Associated With Higher R2 Relaxation Rate: An MRI and Pathology Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cerebral amyloid angiopathy (CAA) involves β‐amyloid deposition in the walls of cortical and leptomeningeal small vessels. Transverse relaxation rate (R2) is a major source of contrast in MRI. This study tested the hypothesis that CAA is associated with R2, extracted the spatial pattern of CAA‐related R2 abnormalities, and evaluated ...
Md Tahmid Yasar, Arnold M. Evia, Mahir Tazwar, Sue E. Leurgans, David A. Bennett, Julie A. Schneider, Konstantinos Arfanakis   +6 more
wiley   +1 more source

JointNet: Multitask Learning Framework for Denoising and Detecting Anomalies in Hyperspectral Remote Sensing

Remote Sensing
One of the significant challenges with traditional single-task learning-based anomaly detection using noisy hyperspectral images (HSIs) is the loss of anomaly targets during denoising, especially when the noise and anomaly targets are similar. This issue
Yingzhao Shao, Shuhan Li, Pengfei Yang, Fei Cheng, Yueli Ding, Jianguo Sun   +5 more
doaj   +1 more source

Threshold Values of Sleep Spindles Features in Healthy Adults Using Scalp‐EEG and Associations With Sleep Parameters

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Sleep spindles are an electrophysiological fingerprint of the sleeping human brain. They can be described in terms of duration, frequency, amplitude, and density, and vary widely according to age and sex. Spindles play a role in sleep and wake functions and are altered in several neurological and psychiatric disorders.
Julien Coelho, Heloïse Degros, Jean‐Arthur Micoulaud‐Franchi, Patricia Sagaspe, Emmanuel d'Incau, Paul Galvez, Christian Berthomier, Pierre Philip, Jacques Taillard   +8 more
wiley   +1 more source