Susan P. Imberman

发表

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

Susan P. Imberman, Robert J. Domanski, 2019, SIGCSE.

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

Susan P. Imberman, 2001, Int. CMG Conference.

Computational thinking: expanding the toolkit

Mohammad Q. Azhar, Susan P. Imberman, Deborah Sturm, 2014 .

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

Susan P. Imberman, 2004, JERC.

Robotics as a Component of a General Education Course

Susan P. Imberman, Sarah Zelikovitz, 2008, AAAI Spring Symposium: Using AI to Motivate Greater Participation in Computer Science.

Comparative statistical analyses of automated booleanization methods for data mining programs

Michael Kress, Susan P. Imberman, Bernard Domanski, 1999 .

Student Feedback on Robotics in CS1

Roberta Klibaner, Susan P. Imberman, Sarah Zelikovitz, 2007, AAAI Spring Symposium: Semantic Scientific Knowledge Integration.

Leveraging online/distance learning methodologies in face to face instruction

Susan P. Imberman, 2012 .

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

Susan P. Imberman, Michael E. Kress, Daniel P. McCloskey, 2012, FLAIRS.

Making Nifty Assignments Niftier and Not So Nifty Assignments Nifty with Online Technologies

Susan P. Imberman, 2008 .

Discovery of Association Rules in Temporal Databases

Susan P. Imberman, Abdullah Uz Tansel, A. Tansel, 2007, Fourth International Conference on Information Technology (ITNG'07).

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

Susan P. Imberman, Sarah Zelikovitz, Irene Ludwig, 2013, 2013 10th International Conference on Information Technology: New Generations.

Extra-Curricular Robotics: Entry-Level Soccer for Undergraduates

Elizabeth Sklar, Susan P. Imberman, Aleksandr Barkan, 2007, AAAI Spring Symposium: Semantic Scientific Knowledge Integration.

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

Susan P. Imberman, Michael E. Kress, Daniel P. McCloskey, 2011, KDD.

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

Susan P. Imberman, Michael E. Kress, Daniel P. McCloskey, 2015, FLAIRS.

Using Decision Trees to Find Patterns in an Ophthalmology Dataset

Susan P. Imberman, Sarah Zelikovitz, Irene Ludwig, 2011, FLAIRS Conference.

Three fun assignments for an Artificial Intelligence class

Susan P. Imberman, 2005 .

Creating Serious Robots That Improve Society

Susan P. Imberman, Jean McManus, Gina Otts, 2017, AAAI.

A robotics lab for CS1

Roberta Klibaner, Susan P. Imberman, 2005 .

Frequent Itemset Mining and Association Rules

Susan P. Imberman, Abdullah Uz Tansel, A. Tansel, 2011, Encyclopedia of Knowledge Management.

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

Susan P. Imberman, Ann Fiddler, 2019, Inroads.

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

Susan P. Imberman, 2003, SIGCSE.

Creating the technologically savvy K-12 teacher: poster session

Roberta Klibaner, Susan P. Imberman, 2010 .

Using Booleanized Data To Discover Better Relationships Between Metrics

Susan P. Imberman, Bernard Domanski, Robert A. Orchard, 1999, Int. CMG Conference.

So many robots, so little time

Roberta Klibaner, Susan P. Imberman, 2008 .

Report on the special track in AI Education at FLAIRS 28

Susan P. Imberman, 2015, SIGAI.

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

Susan P. Imberman, Bernard Domanski, Hilary W. Thompson, 2002, Artif. Intell. Medicine.

From Market Baskets to Mole Rats: Using Data Mining Techniques to Analyze RFID Data Describing Mole Rat Behavior

Susan P. Imberman, Michael Kress, Igor Kushnir, 2011 .

Finding Association Rules from Quantitative Data Using Data Booleanization

Susan P. Imberman, Bernard Domanski, 2001 .

A Laboratory Exercise Using LEGO Handy Board Robots to Demonstrate Neural Networks In An Artificial Intelligence Class

Susan P. Imberman, 2004 .

An Efficient Method For Finding Emerging Large Itemsets

Susan P. Imberman, A. Tansel, 2004 .

Fractional Contrast Stretching for Image Enhancement of Aerial and Satellite Images

Susan P. Imberman, S. Agaian, W. Chiracharit, 2019, Image Processing: Algorithms and Systems.

Boolean Analyzer - An Algorithm That Uses A Probabilistic Interestingness Measure to find Dependency/Association Rules In A Head Trauma Data

Susan P. Imberman, H. Thompson, Bernard Domanski, 2001 .

Long-term study of accommodative esotropia.

Susan P. Imberman, M. Parks, Irene H Ludwig, 2005, Transactions of the American Ophthalmological Society.

Long-term study of accommodative esotropia.

Susan P. Imberman, M. Parks, Irene H Ludwig, 2005, Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus.