David R. Musicant

Laurie A. Smith King, David R. Musicant, Tracy Camp, Paul T. Tymann (Eds.): Proceedings of the 43rd ACM technical symposium on Computer science education, SIGCSE 2012, Raleigh, NC, USA, February 29 - March 3, 2012. ACM 2012, isbn 978-1-4503-1098-7

Shyong K. Lam, Anuradha Uduwage, Zhenhua Dong, Shilad Sen, David R. Musicant, Loren G. Terveen, John Riedl: WP: clubhouse?: an exploration of Wikipedia's gender imbalance. Int. Sym. Wikis 2011: 1-10

David R. Musicant, Yuqing Ren, James A. Johnson, John Riedl: Mentoring in Wikipedia: a clash of cultures. Int. Sym. Wikis 2011: 173-182

Thomas J. Cortina, Ellen Lowenfeld Walker, Laurie A. Smith King, David R. Musicant (Eds.): Proceedings of the 42nd ACM technical symposium on Computer science education, SIGCSE 2011, Dallas, TX, USA, March 9-12, 2011. ACM 2011, isbn 978-1-4503-0500-6

Deborah S. Gross, Robert Atlas, Jeffrey Rzeszotarski, Emma Turetsky, Janara M. Christensen, Sami Benzaid, Jamie F. Olson, Thomas G. Smith, Leah E. Steinberg, Jon Sulman, Anna M. Ritz, Benjamin J. Anderson, Catherine Nelson, David R. Musicant, Lei Chen, David C. Snyder, James J. Schauer: Environmental chemistry through intelligent atmospheric data analysis. Environmental Modelling and Software 25(6): 760-769 (2010)

Jonas Boustedt, Robert McCartney, Josh D. Tenenberg, Edward F. Gehringer, Raymond Lister, David R. Musicant: It seemed like a good idea at the time. SIGCSE 2010: 558-559

David Barbella, Sami Benzaid, Janara M. Christensen, Bret Jackson, X. Victor Qin, David R. Musicant: Understanding Support Vector Machine Classifications via a Recommender System-Like Approach. DMIN 2009: 305-311

Amy Csizmar Dalal, David R. Musicant, Jamie F. Olson, Brandy McMenamy, Sami Benzaid, Ben Kazez, Erica Bolan: Predicting User-Perceived Quality Ratings from Streaming Media Data. ICC 2007: 65-72

David R. Musicant, Janara M. Christensen, Jamie F. Olson: Supervised Learning by Training on Aggregate Outputs. ICDM 2007: 252-261

David R. Musicant, Amruth N. Kumar, Doug Baldwin, Ellen Walker: Mechanics of undergraduate research at liberal arts colleges: lessons learned. SIGCSE 2007: 65-66

Jonas Boustedt, Robert McCartney, Josh D. Tenenberg, Titus Winters, Stephen Edwards, Briana B. Morrison, David R. Musicant, Ian Utting, Carol Zander: It seemed like a good idea at the time. SIGCSE 2007: 346-347

Bee-Chung Chen, Lei Chen, Raghu Ramakrishnan, David R. Musicant: Learning from Aggregate Views. ICDE 2006: 3

Benjamin J. Anderson, Deborah S. Gross, David R. Musicant, Anna M. Ritz, Thomas G. Smith, Leah E. Steinberg: Adapting K-Medians to Generate Normalized Cluster Centers. SDM 2006

David R. Musicant: A data mining course for computer science: primary sources and implementations. SIGCSE 2006: 538-542

David R. Musicant, Alexander Feinberg: Active set support vector regression. IEEE Transactions on Neural Networks 15(2): 268-275 (2004)

Zheng Huang, Lei Chen, Jin-yi Cai, Deborah S. Gross, David R. Musicant, Raghu Ramakrishnan, James J. Schauer, Stephen J. Wright: Mass Spectrum Labeling: Theory and Practice. ICDM 2004: 122-129

David R. Musicant, Vipin Kumar, Aysel Ozgur: Optimizing F-Measure with Support Vector Machines. FLAIRS Conference 2003: 356-360

Olvi L. Mangasarian, David R. Musicant: Large Scale Kernel Regression via Linear Programming. Machine Learning 46(1-3): 255-269 (2002)

Olvi L. Mangasarian, David R. Musicant: Lagrangian Support Vector Machines. Journal of Machine Learning Research 1: 161-177 (2001)

Olvi L. Mangasarian, David R. Musicant: Robust Linear and Support Vector Regression. IEEE Trans. Pattern Anal. Mach. Intell. 22(9): 950-955 (2000)

Olvi L. Mangasarian, David R. Musicant: Active Support Vector Machine Classification. NIPS 2000: 577-583

Olvi L. Mangasarian, David R. Musicant: Successive overrelaxation for support vector machines. IEEE Transactions on Neural Networks 10(5): 1032-1037 (1999)