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Wael Khreich et al.
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Home detection of freezing of gait using support vector machines through a single waist-worn triaxial accelerometer
Daniel Rodriguez-Martin et al.
PLOS ONE (2017)
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Yu Zhang et al.
INTERNATIONAL JOURNAL OF ROTATING MACHINERY (2017)
Understanding Heterogeneity in Clinical Cohorts Using Normative Models: Beyond Case-Control Studies
Andre F. Marquand et al.
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High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning
Sarah M. Erfani et al.
PATTERN RECOGNITION (2016)
Skeleton-Based Abnormal Gait Detection
Trong-Nguyen Nguyen et al.
SENSORS (2016)
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Sinziana Mazilu et al.
PERVASIVE AND MOBILE COMPUTING (2016)
An On-Node Processing Approach for Anomaly Detection in Gait
Guglielmo Cola et al.
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Statistics of Extremes
A. C. Davison et al.
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Individualized Gaussian process-based prediction and detection of local and global gray matter abnormalities in elderly subjects
G. Ziegler et al.
NEUROIMAGE (2014)
A review of novelty detection
Marco A. F. Pimentel et al.
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Automatic detection of freezing of gait events in patients with Parkinson's disease
Evanthia E. Tripoliti et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2013)
An Unsupervised Approach for Automatic Activity Recognition Based on Hidden Markov Model Regression
Dorra Trabelsi et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2013)
Centered Hyperspherical and Hyperellipsoidal One-Class Support Vector Machines for Anomaly Detection in Sensor Networks
Sutharshan Rajasegarar et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2010)
Anomaly detection
Varun Chandola et al.
ACM COMPUTING SURVEYS (2009)
Repetitive and stereotyped movements in children with autism spectrum disorders late in the second year of life
Lindee Morgan et al.
JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY (2008)
The repetitive behavior scale-revised: Independent validation in individuals with autism spectrum disorders
Kristen S. L. Lam et al.
JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS (2007)
Defining the Parkinson's disease phenotype: initial symptoms and baseline characteristics in a clinical cohort
RJ Uitti et al.
PARKINSONISM & RELATED DISORDERS (2005)
Estimating the support of a high-dimensional distribution
B Schölkopf et al.
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Extreme value statistics for novelty detection in biomedical data processing
SJ Roberts
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