Rory Mulvaney
Research concepts
Optimization, Objective nonparametric multivariate probability density
estimation from sparse, high dimensional datasets
Research applications
Regularized regression, time series analysis, text mining, financial
volatility estimation, gene expression analysis
Favored tools
Class Teaching Assistant's announcements
Education
2000-2013
University of Maryland, Baltimore County (UMBC)
Ph.D. Computer Science (2013)
Dissertation: The Haar Wavelet Motif
Relating Decision Trees, Neural Networks, and Rule-Exception Sets
M.S. Computer Science (2002)
Faculty advisor:
Dhananjay Phatak
1996-2000
University of Minnesota, Twin Cities
B.S. Computer Science, Summa Cum Laude
Senior Thesis: Parallelized Quantum Computer
Simulator
B.S. Math, Magna Cum Laude
Other reports
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Rory Mulvaney and Dhananjay S. Phatak. "Regularization and Diversification
against Overfitting and Over-specialization" (April 2009) Technical Report
TR-CS-09-03
Peer-reviewed publications
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Rory Mulvaney and Dhananjay S. Phatak.
Generalized Haar DWT and Transformations between Decision Trees and Neural
Networks,
IEEE Transactions on Neural Networks,
vol. 17(1) (January 2006), pp. 81-93
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Rory Mulvaney and Dhananjay S. Phatak. Efficient Realization of Classification
Using Modified Haar DWT, Proceedings of the
IJCNN 2003, pp. 1774-1779
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Dhananjay S. Phatak and Rory Mulvaney. Clustering for Personalized Mobile Web
Usage, Proceedings of the IEEE
FUZZ'02, May 2002, pp. 705-710
updated: 2021/06/21
rory1@umbc.edu,
rorymulv@gmail.com
UMBC