2017
An Exploratory Analysis Targeting Diagnostic Classification of AAC App Usage Patterns
Atyabi A, Li B, Ahn Y, Kim M, Barney E, Shic F. An Exploratory Analysis Targeting Diagnostic Classification of AAC App Usage Patterns. 2017, 1633-1640. DOI: 10.1109/ijcnn.2017.7966047.Peer-Reviewed Original ResearchAutism spectrum disorderSpeech-generating deviceFeature representationAAC appUsage patternsData mining perspectiveStreams of dataApp usage patternsAlternative communication (AAC) appData modelling techniquesIndividual usage patternsSupport vector machineMassive streamsData miningMining perspectiveData streamsEnsemble learningAbove chanceSpectrum disorderLearning methodsVector machineLanguage learningEveryday scenariosUsage profilesPrediction performance
2016
Mobile Ascertainment of Smoking Status Through Breath: A Machine Learning Approach
Valencia S, Smith M, Atyabi A, Shic F. Mobile Ascertainment of Smoking Status Through Breath: A Machine Learning Approach. 2016, 1-7. DOI: 10.1109/uemcon.2016.7777917.Peer-Reviewed Original ResearchSupport vector machineFeature types