Results 61 to 70 of about 27,774 (271)
General support vector representation machine for one-class classification of non-stationary classes [PDF]
Novelty detection, also referred to as one-class classification, is the process of detecting 'abnormal' behavior in a system by learning the 'normal' behavior.
Fatih Camci +3 more
core +1 more source
Housing as Asset‐Based Welfare in Australia: An Investigation Through a Consumption Lens
ABSTRACT Housing asset‐based welfare has long been a key component of Australia's social policy. This resonates with a parallel literature identifying a trade‐off between homeownership and the size of nations' welfare states, wherein owner‐occupiers in smaller welfare states tend to come to rely on housing wealth to meet many of their welfare needs ...
Gavin A. Wood +3 more
wiley +1 more source
Methodological and conceptual limitations in exercise addiction research [PDF]
The aim of this brief analytical review is to highlight and disentangle research dilemmas in the field of exercise addiction. Research examining exercise addiction is primarily based on self-reports, obtained by questionnaires (incorporating ...
Demetrovics, Zsolt +16 more
core
ABSTRACT In Australia, governments fund Community Legal Centres (CLCs) as part of the legal assistance sector (LAS) to meet the ‘legal needs’ of people experiencing disadvantage who cannot afford private legal services. Persistent unmet demand for CLCs is well‐documented. As artificial intelligence (AI) is increasingly used in private legal practice to
Catherine Hastings +2 more
wiley +1 more source
Object Detection and Classification in the Visible and Infrared Spectrums
The over-arching theme of this dissertation is the development of automated detection and/or classification systems for challenging infrared scenarios. The six works presented herein can be categorized into four problem scenarios.
Poster, Domenick D
core +1 more source
AI‐Driven Mapping of Seizure Spread Patterns
Objective The focus of epilepsy research has largely been on seizure onset; however, physicians typically examine the patterns of seizure spread past seizure onset as well. This study aims to align automated seizure analysis with clinical practice, leverage deep learning to standardize seizure annotations that varies among physicians, and understand ...
Andrew Y. Revell +13 more
wiley +1 more source
Background: Medication non-compliance is a significant healthcare issue that is widespread. Extensive research has identified factors that contribute to medication non-compliance in different healthcare settings.
Jeanne du Plessis +2 more
doaj +1 more source
Teesid: Parallelism on rahvaluules väga levinud nähtus ning ka regilauludes regulaarselt ja mitmekesiselt kasutatav tekstiloome printsiip. Olgugi et varasemad uurijad on kirjeldanud ja analüüsinud regilaulu parallelismi mitmeid aspekte, ei tule senises ...
Mari Sarv
doaj +1 more source
Discourse parsing of sociology dissertation abstracts using decision tree induction
In this study, we investigated the use of decision tree induction to parse the macro-level discourse structure of sociology dissertation abstracts. We treated discourse parsing as a sentence categorization task.
Heng, Hui-Ying +6 more
core
Identification and Classification of Radio Pulsar Signals Using Machine Learning
Automated single-pulse search approaches are necessary as ever-increasing amount of observed data makes the manual inspection impractical. Detecting radio pulsars using single-pulse searches, however, is a challenging problem for machine learning because
Pang, DI
core +1 more source

