Susan P. Imberman

According to our database, Susan P. Imberman authored at least 21 papers between 1999 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Curricula Design in Public Interest Tech Using OER.

Susan P. Imberman

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

2020

Fractional Contrast Stretching for Image Enhancement of Aerial and Satellite Images.

Thaweesak Trongtirakul, Werapon Chiracharit, Susan P. Imberman, Sos S. Agaian

Proceedings of the Image Processing: Algorithms and Systems XVIII, 2020

2019

Share and share alike: : using Creative Commons licenses to create OER.

Susan P. Imberman, Ann Fiddler

Inroads, 2019

Creating a Tech-in-Residence Corps of Industry Adjuncts: An Academic/Government/Industry Partnership.

Susan P. Imberman, Robert J. Domanski

Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

2017

Creating Serious Robots That Improve Society.

Susan P. Imberman, Jean McManus, Gina Otts

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

Report on the special track in AI Education at FLAIRS 28.

Susan P. Imberman

AI Matters, 2015

Exploring Equivalence Metrics to Analyze Behavior in a Naked Mole Rat Colony.

Susan P. Imberman, Michael E. Kress, Daniel P. McCloskey

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

2013

An Ophthalmologist's Tool for Predicting Deterioration in Patients with Accommodative Esotropia.

Susan P. Imberman, Sarah Zelikovitz, Irene Ludwig

Proceedings of the Tenth International Conference on Information Technology: New Generations, 2013

2012

Using Frequent Pattern Mining To Identify Behaviors In A Naked Mole Rat Colony.

Susan P. Imberman, Michael E. Kress, Daniel P. McCloskey

Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

2011

Frequent Itemset Mining and Association Rules.

Susan P. Imberman, Abdullah Uz Tansel

Proceedings of the Encyclopedia of Knowledge Management, Second Edition, 2011

From market baskets to mole rats: using data mining techniques to analyze RFID data describing laboratory animal behavior.

Daniel P. McCloskey, Michael E. Kress, Susan P. Imberman, Igor Kushnir, Susan Briffa-Mirabella

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Using Decision Trees to Find Patterns in an Ophthalmology Dataset.

Susan P. Imberman, Irene Ludwig, Sarah Zelikovitz

Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

2008

Robotics as a Component of a General Education Course.

Susan P. Imberman, Sarah Zelikovitz

Proceedings of the Using AI to Motivate Greater Participation in Computer Science, 2008

2007

Discovery of Association Rules in Temporal Databases.

Abdullah Uz Tansel, Susan P. Imberman

Proceedings of the Fourth International Conference on Information Technology: New Generations (ITNG 2007), 2007

Student Feedback on Robotics in CS1.

Susan P. Imberman, Roberta Klibaner, Sarah Zelikovitz

Proceedings of the Robots and Robot Venues: Resources for AI Education, 2007

Extra-Curricular Robotics: Entry-Level Soccer for Undergraduates.

Susan P. Imberman, Aleksandr Barkan, Elizabeth Sklar

Proceedings of the Robots and Robot Venues: Resources for AI Education, 2007

2004

An intelligent agent approach for teaching neural networks using LEGO® handy board robots.

Susan P. Imberman

ACM J. Educ. Resour. Comput., 2004

2003

Teaching neural networks using LEGO handy board robots in an artificial intelligence course.

Susan P. Imberman

Proceedings of the 34th SIGCSE Technical Symposium on Computer Science Education, 2003

2002

Using dependency/association rules to find indications for computed tomography in a head trauma dataset.

Susan P. Imberman, Bernard Domanski, Hilary W. Thompson

Artif. Intell. Medicine, 2002

2001

Effective Use of the KDD Process and Data Mining for Computer Performance Professionals.

Susan P. Imberman

Proceedings of the 27th International Computer Measurement Group Conference, 2001

1999

Using Booleanized Data To Discover Better Relationships Between Metrics.

Susan P. Imberman, Bernard Domanski, Robert A. Orchard

Proceedings of the 25th International Computer Measurement Group Conference, 1999