Results 91 to 100 of about 15,174,398 (300)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller +14 more
wiley +1 more source
Invited In: Measuring UDL in Online Learning [PDF]
, 2016 This report on K-12 blended and fully online lessons employs the Universal Design for Learning framework to explore and evaluate the appropriateness of online content and instruction, especially for the struggling learner and those with disabilities ...
Smith, Sean Joseph +1 more
core +1 more source
Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane +10 more
wiley +1 more source
Online peer assessment: helping to facilitate learning through participation [PDF]
, 2012 The focus of this paper is on the combination of enquiry-based learning, information literacy and e-learning and how they are embedded in an online peer assessment exercise.
Walton, Geoff +3 more
core +1 more source
CoRR, 2013 We introduce online learning algorithms which are independent of feature scales, proving regret bounds dependent on the ratio of scales existent in the data rather than the absolute scale. This has several useful effects: there is no need to pre-normalize data, the test-time and test-space complexity are reduced, and the algorithms are more robust.
Stéphane Ross +2 more
openaire +5 more sources
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
CoRR, 2015 We propose a general framework for studying adaptive regret bounds in the online learning framework, including model selection bounds and data-dependent bounds. Given a data- or model-dependent bound we ask, "Does there exist some algorithm achieving this bound?" We show that modifications to recently introduced sequential complexity measures can be ...
Dylan J. Foster +2 more
openaire +3 more sources
Online convolutional dictionary learning [PDF]
2017 IEEE International Conference on Image Processing (ICIP), 2017 Accepted to be presented at ICIP ...
Jialin Liu 0003 +3 more
openaire +4 more sources
Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli +13 more
wiley +1 more source
Chapter 3: Building an Online Learning Community [PDF]
, 2000 The OTiS (Online Teaching in Scotland) programme, run by the now defunct Scotcit programme, ran an International e-Workshop on Developing Online Tutoring Skills which was held between 8–12 May 2000.
core +4 more sources