Louise F. Gunderson

Affiliations:
  • Virginia University, Charlottesville, VA, USA


According to our database1, Louise F. Gunderson authored at least 12 papers between 2000 and 2010.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2010
"What do you do with a drunken robot?": <i>in situ performance measurements of intelligent mobile robots</i>.
Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop, 2010

2008
Integrating reification and ontologies for mobile autonomous robots.
Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems, 2008

2007
Autonomy (what's it good for?).
Proceedings of the 2007 Workshop on Performance Metrics for Intelligent Systems, 2007

2006
And Then the Phone Rang ...
Proceedings of the What Went Wrong and Why: Lessons from AI Research and Applications, 2006

2005
Living with a Personal Disk Jockey - The Start of the Journey.
Proceedings of the Persistent Assistants: Living and Working with AI, 2005

2002
Using Data Mining to Discover the Preferences of Computer Criminals.
Adv. Comput., 2002

Using data mining and judgment analysis to construct a predictive model of crime.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Yasmine Hammamet, Tunisia, October 6-9, 2002, 2002

Mining human failure dynamics from accident data using logistic regression and decision trees.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics: Bridging the Digital Divide, Yasmine Hammamet, Tunisia, October 6-9, 2002, 2002

2001
Using clustering to discover the preferences of computer criminals .
IEEE Trans. Syst. Man Cybern. Part A, 2001

Using cluster specific salience weighting to determine the preferences of agents for multi-agent simulations.
Proceedings of the IEEE International Conference on Systems, 2001

2000
Interactive Analysis of Computer Crimes.
Computer, 2000

Using a multi-agent model to predict both physical and cyber criminal activity.
Proceedings of the IEEE International Conference on Systems, 2000


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