H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 74 Citations 25,005 369 World Ranking 619 National Ranking 380

Research.com Recognitions

Awards & Achievements

2016 - Fellow, National Academy of Inventors

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Machine learning
  • Programming language

Her scientific interests lie mostly in Smart environment, Home automation, Data mining, Artificial intelligence and Activity recognition. Her work carried out in the field of Smart environment brings together such families of science as Computational intelligence, Health care, Field, Activities of daily living and Data science. The various areas that Diane J. Cook examines in her Home automation study include Computer security, Task, Human–computer interaction, Intelligent sensor and Embedded system.

The study incorporates disciplines such as Data stream, Graph and Component in addition to Data mining. Her study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning, Graph based and Pattern recognition. Her Activity recognition study integrates concerns from other disciplines, such as Data modeling, Feature, Ubiquitous computing, Sliding window protocol and Focus.

Her most cited work include:

  • Review: Ambient intelligence: Technologies, applications, and opportunities (690 citations)
  • Sensor-Based Activity Recognition (625 citations)
  • How smart are our environments? An updated look at the state of the art (510 citations)

What are the main themes of her work throughout her whole career to date?

Her primary areas of investigation include Artificial intelligence, Home automation, Smart environment, Data mining and Machine learning. The Artificial intelligence study combines topics in areas such as Graph, Domain, Theoretical computer science and Pattern recognition. Her Home automation research focuses on subjects like Activity recognition, which are linked to Feature extraction.

The concepts of her Smart environment study are interwoven with issues in Context, Health care, Ubiquitous computing, Testbed and Data science. Her biological study spans a wide range of topics, including Data compression and Cluster analysis. Her Machine learning study combines topics in areas such as Intelligent environment and Task.

She most often published in these fields:

  • Artificial intelligence (35.98%)
  • Home automation (22.18%)
  • Smart environment (21.55%)

What were the highlights of her more recent work (between 2015-2021)?

  • Home automation (22.18%)
  • Artificial intelligence (35.98%)
  • Activity recognition (16.74%)

In recent papers she was focusing on the following fields of study:

Diane J. Cook mainly investigates Home automation, Artificial intelligence, Activity recognition, Machine learning and Human–computer interaction. Diane J. Cook has researched Home automation in several fields, including Smart environment, Change detection, Computer security, Testbed and Process. Her Smart environment research incorporates elements of Ubiquitous computing and Health care.

Her research integrates issues of Domain adaptation, Set and Pattern recognition in her study of Artificial intelligence. Diane J. Cook usually deals with Activity recognition and limits it to topics linked to Context and Ecology. Her Human–computer interaction research is multidisciplinary, incorporating elements of Health informatics and Activities of daily living.

Between 2015 and 2021, her most popular works were:

  • A survey of methods for time series change point detection (335 citations)
  • A Survey of Unsupervised Deep Domain Adaptation (85 citations)
  • Automated Cognitive Health Assessment From Smart Home-Based Behavior Data (80 citations)

In her most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Programming language

Her main research concerns Home automation, Artificial intelligence, Activity recognition, Machine learning and Data mining. Her studies deal with areas such as Smart environment, Computer security, Human–computer interaction, Health informatics and Process as well as Home automation. Her Smart environment research is multidisciplinary, incorporating perspectives in Testbed and Ubiquitous computing.

Her work deals with themes such as Domain adaptation, Trail Making Test and Data science, which intersect with Artificial intelligence. Her Activity recognition research includes themes of Context, Feature extraction, Feature selection and Regression analysis. Her Data mining research integrates issues from Change detection, Behavior change and Time series.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Review: Ambient intelligence: Technologies, applications, and opportunities

Diane J. Cook;Juan C. Augusto;Vikramaditya R. Jakkula.
Pervasive and Mobile Computing (2009)

1123 Citations

Smart Environments: Technology, Protocols and Applications

Diane J. Cook;Sajal K. Das.
(2004)

1050 Citations

Sensor-Based Activity Recognition

Liming Chen;J. Hoey;C. D. Nugent;D. J. Cook.
systems man and cybernetics (2012)

907 Citations

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

Diane J. Cook;Sajal K. Das.
Pervasive and Mobile Computing (2007)

742 Citations

MavHome: an agent-based smart home

D.J. Cook;M. Youngblood;E.O. Heierman;K. Gopalratnam.
pervasive computing and communications (2003)

735 Citations

Human Activity Recognition and Pattern Discovery

Eunju Kim;Sumi Helal;D. Cook.
IEEE Pervasive Computing (2010)

721 Citations

Mining Graph Data

Diane J. Cook;Lawrence B. Holder.
(2006)

680 Citations

Substructure discovery using minimum description length and background knowledge

Diane J. Cook;Lawrence B. Holder.
Journal of Artificial Intelligence Research (1993)

676 Citations

A Survey on Ambient Intelligence in Healthcare

Giovanni Acampora;Diane J. Cook;Parisa Rashidi;Athanasios V. Vasilakos.
Proceedings of the IEEE (2013)

564 Citations

Graph-based anomaly detection

Caleb C. Noble;Diane J. Cook.
knowledge discovery and data mining (2003)

559 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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