Nicholas NavaroliPh.D. Graduate
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I am a recent Ph.D. graduate (Fall 2014) from University of California, Irvine. My adviser at UCI was Padhraic Smyth from the UCI Datalab research group, a group whose research interests involve probabilistic modeling and analysis of datasets. I received my B.S. degree in Computer Science and minor in Mathematics at California State University San Bernardino in 2009, and my M.S. degree in Computer Science at University of California, Irvine in 2011.
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N. Navaroli, P. Smyth. Modeling Response Time in Human Communication Patterns. International Conference on Web and Social Media (ICWSM), May 2015.
N. Navaroli. Generative Probabilistic Models for Analysis of Communication Event Data with Applications to Email Behavior. Ph.D. Dissertation, December 2014.
N. Navaroli, C. DuBois, P. Smyth. Modeling individual email patterns over time with latent variable models. Machine Learning Journal, May 2013.
N. Navaroli, C. DuBois, P. Smyth. Statistical Models for Exploring Individual Email Communication Behavior. Fourth Asian Conference on Machine Learning (ACML), November 2012.
J. R. Foulds, N. Navaroli, P. Smyth, A. Ihler. Revisiting MAP Estimation, Message Passing and Perfect Graphs. Proceedings of the 14th International Conference on AI and Statistics (AI Stats), April 2011.
N. Navaroli, D. Turner, A. Concepcion, R. Lynch. Performance Comparison of ADRS and PCA as a Preprocessor to ANN for Data Mining. The 8th International Conference on Intelligent Systems Design and Applications (ISDA 2008), Nov 2008, Kaohsuing, Taiwan.