Results 161 to 170 of about 576,901 (299)

Electroencephalographic Normalization as a Biomarker of Clinical Recovery in Down Syndrome Regression Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Down syndrome regression disorder is a syndrome characterized by subacute loss of cognitive, behavioral, and functional abilities in individuals with Down syndrome. Electroencephalography abnormalities are frequently observed during evaluation, but it remains unclear whether these findings represent a dynamic marker of disease ...
Jonathan D. Santoro, Mackenzie Silverman, Maeve C. Lucas, Mariam M. Yousuf, Samuel T. Otey, Stella V. Gray, Brittany Jordan, Madeline D. Kahan, Latanya D. Agurs, Michelle Van Hirtum Das, Deborah Holder, Devin King, Eileen A. Quinn, Ryan Kammeyer, Michael S. Rafii   +14 more
wiley   +1 more source

HERA: a Hybrid Euler Reservoir Architecture for multivariate time series classification. [PDF]

Sci Rep
Zhang S, Le W, Jia ZH, Wu H.
europepmc   +1 more source

A T-CNN time series classification method based on Gram matrix. [PDF]

Sci Rep, 2022
Wang J, Li S, Ji W, Jiang T, Song B.
europepmc   +1 more source

Feature-based Classification of Time-series Data

, 2001
: In this paper we propose the use of statistical features for time-series classification. The classification is performed with a multi-layer perceptron (MLP) neural network.
Rob Alcock, Yannis Manolopoulos, Alex Nanopoulos   +2 more
core  

Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs, Marcel Naumann, Annaliis Lehto, Hanna Schön, Jens Kurth, Johannes Prudlo, Andreas Hermann, Elisabeth Kasper   +7 more
wiley   +1 more source

A unified time series classification framework via adaptive Gaussian image representation. [PDF]

Sci Rep
Ren X, Li D, Gao X, Chan WKV.
europepmc   +1 more source

Facilitating time series classification by linear law-based feature space transformation. [PDF]

Sci Rep, 2022
Kurbucz MT, Pósfay P, Jakovác A.
europepmc   +1 more source

ARFIMA for Feature-Based Time Series Classification

Time series classification has become one of the most important tasks in machine learning applications. It is a supervised learning task to classify classes of time series.
Pedrycz, Witold, Homenda, Wladyslaw, Sumara, Rauzan   +2 more
core  

Upper Cervical Cord Area as a Biomarker of Conversion to Secondary Progressive Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study assessed whether upper cervical cord area (UCCA) measured on routine brain MRI can serve as a biomarker of conversion to SPMS. Methods This is a single‐center retrospective cohort study of RRMS patients with cross‐sectional and longitudinal analyses of clinical and MRI data. Future SPMS converters were matched by age, sex,
Nabil K. El Ayoubi, Sola Al Ghazal, Salem Hannoun, Medhat A. Siddik, Nour M. Najjar, Jim Dagher, Joseph Abboud, Myriam G. Semaan, Samia J. Khoury   +8 more
wiley   +1 more source

ExplainTS: a benchmark dataset of pretrained models and <i>post-hoc</i> explanations for time-series classification. [PDF]

Front Artif Intell
Mozolewski M, Bobek S, Nalepa GJ.
europepmc   +1 more source