Talks, Posters, and Demos

Elegit: Git Learning Tool for Students

Eric Walker, Julia Connelly, and David Musicant. Demo presented by Eric Walker and Dave Musicant at the 2017 ACM SIGCSE Technical Synposium on Computer Science Education (SIGCSE '17).

Open-Ended Robotics Exploration Projects for Budding Researchers

David Musicant, Abha Laddha, Tom Choi. Talk presented by Dave Musicant and Tom Choi at the 2017 AAAI Conference on Artificial Intelligence.

Engaging High School Students in Modeling and Simulation through Educational Media

David R. Musicant and S. Selcen Guzey. Association for Computing Machinery Special Interest Group in Computer Science Education Technical Symposium (ACM SIGCSE), Kansas City, MO, March 6, 2015.

Keeping Wiki Content Current via News Sources

Rachel Adams, Alex Kuntz, Morgan Marks, William Martin, David R. Musicant. Poster and demonstration at the 2013 International Conference on Intelligent User Interfaces, Santa Monica, CA, March 20, 2013.

The Whole Enchilada: Environmental Chemistry Through Intelligent Atmospheric Data Analysis

David R. Musicant. Invited keynote given at the First International Workshop on Climate Informatics, New York, NY, August 26, 2011.

Clue Deduction: An Introduction to Satisfiability Reasoning

Todd Neller, Ingrid Russell, Dave Musicant, Zdravko Markov. Poster presented by Todd Neller at the Second AAAI 2011 Symposium on Educational Advances in Artificial Intelligence (EAAI-11), San Francisco, CA, August 9-10, 2011.

It Seemed Like A Good Idea At The Time

Jonas Boustedt, Robert McCartney, Josh Tenenberg, Edward F. Gehringer, Raymond Lister, Dave Musicant. Special Session at Association for Computing Machinery Special Interest Group in Computer Science Education Technical Symposium (ACM SIGCSE), Milwaukee, WI, March 13, 2010.

Supervised Learning by Training on Aggregate Outputs

David R. Musicant, Janara M. Christensen, Jamie F. Olson. Talk presented by Janara M. Christensen at Seventh IEEE International Conference on Data Mining, Omaha, NE, October 31, 2007.

It Seemed Like A Good Idea At The Time

Jonas Boustedt, Robert McCartney, Josh Tenenberg, Titus Winters, Stephen Edwards, Briana B. Morrison, David R. Musicant, Ian Utting, Carol Zander. Panel presentation at Association for Computing Machinery Special Interest Group in Computer Science Education Technical Symposium (ACM SIGCSE), Houston, TX, March 9, 2007.

Mechanics of Undergraduate Research at Liberal Arts Colleges -- Lessons Learned

Amruth Kumar, David Musicant, Doug Baldwin, Ellen Walker. Panel presentation at Association for Computing Machinery Special Interest Group in Computer Science Education Technical Symposium (ACM SIGCSE), Houston, TX, March 8, 2007.

A Data Mining Course for Computer Science: Primary Sources and Implementations

David R. Musicant. Association for Computing Machinery Special Interest Group in Computer Science Education Technical Symposium (ACM SIGCSE), Houston, TX, March 4, 2006.

Adapting K-Medians to Generate Normalized Cluster Centers

Benjamin J. Anderson, Deborah S. Gross, David R. Musicant, Anna M. Ritz, Thomas G. Smith, Leah E. Steinberg. Talk presented by Anna M. Ritz at SIAM International Conference on Data Mining (SDM), Bethesda, MD, April 20, 2006.

Analysis of Complex Real-Time Atmospheric Data Sets: A Data Mining Approach

Melanie Yuen, Andrew Ault, Deborah S. Gross, Ben Anderson, Anna Ritz, David R. Musicant, James J. Schauer, Lei Chen, Bee-Chung Chen, and Raghu Ramakrishnan. Poster presented by Melanie Yuen at American Chemical Society National Meeting, San Diego, CA. March, 2005.

A Model for a Liberal Arts Project-Based Capstone Experience

David R. Musicant and Jeff Ondich. Poster presented at ACM SIGCSE. St. Louis, MO. February 25, 2005.

Easy Integration of LEGO Mindstorms into Vacuum World Simulations

David R. Musicant and Andrew Exley. Poster presented at ACM SIGCSE. Norfolk, VA. March 5, 2004.

Optimizing F-Measure with Support Vector Machines

David R. Musicant, V. Kumar, and A. Ozgur. Talk presented at FLAIRS 2003: Florida Artificial Intelligence Research Society Conference. St. Augustine, Florida. May 13, 2003.

Active Set Support Vector Regression

David R. Musicant & Alexander Feinberg. NIPS 2001 Workshop on New Perspectives in Kernel-Based Learning Methods. Whistler/Blackcomb Resort, BC, Canada, December 7, 2000.

LSVM: Lagrangian Support Vector Machines

David R. Musicant & O.L. Mangasarian. NIPS 2000 Workshop on New Perspectives in Kernel-Based Learning Methods. Breckenridge, Colorado, December 1, 2000.

Active Support Vector Machine Classification

David R. Musicant & O.L. Mangasarian. Poster presented at NIPS 2000. Denver, Colorado, November 28, 2000.

Support Vector Machine Regression

David R. Musicant & O.L. Mangasarian. International Symposium on Mathematical Programming, Atlanta, Georgia, August 10, 2000.

Support Vector Machines for Data Fitting and Classification

David R. Musicant & O.L. Mangasarian. UW-Madison Data Mining Institute Annual Review, June 2, 2000.

Massive Support Vector Regression (PowerPoint) (Postscript)

David R. Musicant & O.L. Mangasarian. NIPS*99 Workshop on Support Vector Machine Learning, Breckenridge, Colorado, December 3, 1999. INFORMS Spring 2000 Meeting, Salt Lake City, Utah, May 7. 2000.

Nonlinear Data Discrimination via Generalized Support Vector Machines

David R. Musicant & O.L. Mangasarian. INFORMS Fall 1999 Meeting, Philadelphia, Pennsylvania, November 9, 1999.

Nonlinear Data Discrimination via Generalized Support Vector Machines

David R. Musicant & O.L. Mangasarian. International Conference on Complementarity Problems, Madison, Wisconsin, June 12, 1999.

Successive Overrelaxation for Support Vector Machines

O. L. Mangasarian & David R. Musicant. NIPS*98 Workshop on Mining Massive Databases, Breckenridge, Colorado, December 5, 1998.