World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
84
Citations
33874
World Ranking
838
National Ranking
454

Research.com Recognitions

  • 2016 - Fellow, National Academy of Inventors

Overview

Diane J. Cook is affiliated with Washington State University in the United States and has contributed extensively to the field of computer science. Their research primarily focuses on areas such as artificial intelligence, computer vision and pattern recognition, and experimental and cognitive psychology.

The main topics addressed in their work include:

  • Context-Aware Activity Recognition Systems
  • Technology Use by Older Adults
  • Anomaly Detection Techniques and Applications
  • Time Series Analysis and Forecasting
  • Dementia and Cognitive Impairment Research
  • Mental Health Research Topics
  • Digital Mental Health Interventions

Frequent collaborators in their research are:

  • Maureen Schmitter-Edgecombe
  • John Baillieul
  • Gert Cauwenberghs
  • Michael Fang
  • Georges Gielen

The scientist has published prolifically in several venues, with a notable presence in:

  • Proceedings of the IEEE
  • arXiv (Cornell University)
  • The Clinical Neuropsychologist
  • IEEE Computational Intelligence Magazine
  • ACM Transactions on Intelligent Systems and Technology

Some of their recent published papers include:

  • Health Monitoring and Assistance to Support Aging in Place, 2020, TUGraz OPEN Library (Graz University of Technology)
  • Bridging the gap between performance-based assessment and self-reported everyday functioning: An ecological momentary assessment approach, 2020, The Clinical Neuropsychologist
  • Computational Intelligence Techniques for Combating COVID-19: A Survey, 2020, IEEE Computational Intelligence Magazine
  • A Survey of Unsupervised Deep Domain Adaptation, 2020, ACM Transactions on Intelligent Systems and Technology
  • CALDA: Improving Multi-Source Time Series Domain Adaptation With Contrastive Adversarial Learning, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence

Diane J. Cook's contributions have been recognized with the fellowship status of the National Academy of Inventors since 2016.

Best Publications

  • Review: Ambient intelligence: Technologies, applications, and opportunities

    Diane J. Cook;Juan C. Augusto;Vikramaditya R. Jakkula

  • A survey of methods for time series change point detection

    Samaneh Aminikhanghahi;Diane J. Cook

  • Sensor-Based Activity Recognition

    Liming Chen;J. Hoey;C. D. Nugent;D. J. Cook

  • Smart Environments: Technology, Protocols and Applications

    Diane J. Cook;Sajal K. Das

  • Human Activity Recognition and Pattern Discovery

    Eunju Kim;Sumi Helal;D. Cook

  • How smart are our environments? An updated look at the state of the art

    Diane J. Cook;Sajal K. Das

  • CASAS: A Smart Home in a Box

    Diane J. Cook;Aaron S. Crandall;Brian L. Thomas;Narayanan C. Krishnan

  • A Survey on Ambient Intelligence in Healthcare

    Giovanni Acampora;Diane J. Cook;Parisa Rashidi;Athanasios V. Vasilakos

  • MavHome: an agent-based smart home

    D.J. Cook;M. Youngblood;E.O. Heierman;K. Gopalratnam

  • A Survey of Unsupervised Deep Domain Adaptation

    Garrett Wilson;Diane J. Cook

  • Substructure discovery using minimum description length and background knowledge

    Diane J. Cook;Lawrence B. Holder

  • Mining Graph Data

    Diane J. Cook;Lawrence B. Holder

  • Graph-based anomaly detection

    Caleb C. Noble;Diane J. Cook

  • Activity recognition on streaming sensor data

    Narayanan C. Krishnan;Diane J. Cook

  • Discovering Activities to Recognize and Track in a Smart Environment

    P Rashidi;D J Cook;L B Holder;M Schmitter-Edgecombe

  • Graph-based data mining

    D.J. Cook;L.B. Holder

  • Keeping the Resident in the Loop: Adapting the Smart Home to the User

    P. Rashidi;D.J. Cook

  • Learning Setting-Generalized Activity Models for Smart Spaces

    Diane J. Cook

  • The role of prediction algorithms in the MavHome smart home architecture

    S.K. Das;D.J. Cook;A. Battacharya;E.O. Heierman

  • Transfer learning for activity recognition: a survey

    Diane Cook;Kyle D. Feuz;Narayanan C. Krishnan

  • Assessing the Quality of Activities in a Smart Environment

    Diane J Cook;M Schmitter-Edgecombe

Frequent Co-Authors

Lawrence B. Holder
Lawrence B. Holder Washington State University
Maureen Schmitter-Edgecombe
Maureen Schmitter-Edgecombe Washington State University
Sajal K. Das
Sajal K. Das Missouri University of Science and Technology
Juan Carlos Augusto
Juan Carlos Augusto Middlesex University
Wen-Zhan Song
Wen-Zhan Song University of Georgia
Hassan Ghasemzadeh
Hassan Ghasemzadeh Arizona State University
Lawrence O. Hall
Lawrence O. Hall University of South Florida
Sumi Helal
Sumi Helal Lancaster University
Frank L. Lewis
Frank L. Lewis The University of Texas at Arlington
Shaojie Tang
Shaojie Tang The University of Texas at Dallas

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