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The Clinical Neuropsychologist|October 17, 2025
Deep learning for early detection of mild cognitive impairment using smart home ambient sensor dataDiane J Cook, Maureen Schmitter-EdgecombePervasive and Mobile Computing|April 15, 2014
Activity Recognition on Streaming Sensor DataNarayanan C Krishnan, Diane J CookACM Transactions on Intelligent Systems and Technology|March 29, 2016
Transfer Learning across Feature-Rich Heterogeneous Feature Spaces via Feature-Space Remapping (FSR)Kyle D Feuz, Diane J CookKnowledge and Information Systems|October 10, 2017
Collegial Activity Learning between Heterogeneous SensorsKyle D Feuz, Diane J CookData Mining and Knowledge Discovery|July 16, 2011
Sensor Selection to Support Practical Use of Health-Monitoring Smart EnvironmentsDiane J Cook, Lawrence B HolderMethods of Information in Medicine|May 19, 2009
Assessing the quality of activities in a smart environmentDiane J Cook, M Schmitter-EdgecombeGerontechnology : International Journal on the Fundamental Aspects of Technology to Serve the Ageing Society|October 1, 2013
Automated activity-aware prompting for activity initiationLawrence B Holder, Diane J CookTechnology and Health Care : Official Journal of the European Society for Engineering and Medicine|October 1, 2016
Forecasting behavior in smart homes based on sleep and wake patternsJennifer A Williams, Diane J CookIEEE Access : Practical Innovations, Open Solutions|May 21, 2021
Fusing Ambient and Mobile Sensor Features Into a Behaviorome for Predicting Clinical Health ScoresDiane J Cook, Maureen Schmitter-EdgecombeJournal of Diabetes Science and Technology|January 5, 2010
Smart home-based health platform for behavioral monitoring and alteration of diabetes patientsAbdelsalam Helal, Diane J Cook, Mark SchmalzPageof 289