Visible to the public Biblio

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2018-05-27
Hu, Y, Tilke, D, Adams, T, Crandall, A, Cook, Diane J, Schmitter-Edgecombe, Maureen.  2016.  Smart home in a box: Usability study for a large scale self-installation of smart home technologies. Journal of Reliable Intelligent Environments. 2:93–106.
Fallahzadeh, R., Aminikhanghahi, S., Gibson, A., Cook, D.  2016.  Toward personalized and context-aware prompting for smartphone-based intervention. 38th Annual International Conference of Engineering in Medicine and Biology Society (EMBC).
Aminikhanghahi, S, Cook, Diane J.  2017.  Using change point detection to automate daily activity segmentation. Workshop on Context and Activity Modeling and Recognition.
Aminikhanghahi, Samaneh, Cook, Diane J..  2016.  A survey of methods for time series change point detection. Knowledge and Information Systems. :1–29.
Namaki, M, Chowdhury, F, Islam, M, Doppa, J, Wu, Y.  2017.  Learning to Speed Up Query Planning in Graph Databases. International Conference on Automated Planning and Scheduling.
Chen, L, Cook, Diane J, Guo, B, Chen, L, Leister, W.  2017.  Guest editorial: Special issue on situation, activity, and goal awareness in cyber-physical human-machine systems. IEEE Transactions on Human-Machine Systems. 47
Dahmen, Jessamyn, Thomas, Brian, Cook, Diane, Wang, Xiaobo.  2017.  Activity learning as a foundation for security monitoring in smart homes. Sensors. 17
Dahmen, Jessamyn, Cook, Diane J, Wang, Xiaobo, Honglei, Wang.  2016.  Smart secure homes: A survey of smart home technologies that sense, assess, and respond to security threats. Journal of Reliable Intelligent Environments.
Sprint, Gina, Cook, Diane J, Fritz, Roschelle, Schmitter-Edgecombe, Maureen.  2016.  Using smart homes to detect and analyze health events. IEEE Computer.
Feuz, Kyle, Cook, Diane J, Rosasco, Cody, Robertson, Kayela, Schmitter-Edgecombe, Maureen.  2015.  Automated detection of activity transitions for prompting. IEEE Transactions on Human-Machine Systems.
Feuz, K, Cook, Diane J.  2017.  Collegial activity learning between heterogeneous sensors. Technology and Health Care.
Feuz, Kyle, Cook, Diane J.  2015.  Transfer learning across feature-rich heterogeneous feature spaces via feature-space remapping. ACM Transactions on Intelligent Systems and Technology. 6:3.
Feuz, Kyle D, Cook, Diane J.  2017.  Modeling skewed class distributions by reshaping the concept space. National Conference on Artificial Intelligence. :1891–1897.
Chowdhury, C, Ma, C, Islam, M, Faruk, M, Doppa, J.  2017.  Select-and-Evaluate: A Learning Framework for Large-Scale Knowledge Graph Search. Journal of Machine Learning Research. 80
Thomas, B, Cook, Diane J.  2016.  Activity-aware energy-efficient automation of smart buildings. Energies. 9:624–635.
Minor, Bryan, Doppa, Janardhan Rao, Cook, Diane J.  2015.  Data-driven activity prediction: algorithms, evaluation methodology, and applications. International Conference on Knowledge Discovery and Data Mining.
Minor, Bryan, Cook, Diane J.  2016.  Forecasting occurrences of activities. Pervasive and Mobile Computing.
Minor, Bryan, Doppa, Janardhan Rao, Cook, Diane J.  2017.  Learning activity predictors from sensor data: Algorithms, evaluation, and applications. IEEE Transactions on Knowledge and Data Engineering.
Schmitter-Edgecombe, Maureen, Cook, Diane J, Weakley, Alyssa, Dawadi, Prafulla.  2017.  Using smart environment technologies to monitor and assess everyday functioning and deliver real-time intervention. The Role of Technology in Clinical Neuropsychology.