Tutorial Presentations
James Cussens, Brandon Malone and Changhe Yuan, "Tutorial on Optimal Algorithms for Learning Bayesian Networks," 23rd International Joint Conference on Artificial Intelligence, Beijing, China. August 2013.
Conference Presentations
Brandon Malone and Changhe Yuan, "A Depth-first Branch and Bound Algorithm for Optimal BNSL," 3rd International Workshop on Graph Structures for Knowledge Representation and Reasoning, Beijing, China. August 2013.
Brandon Malone and Changhe Yuan, "Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks," 29th Conference on Uncertainty in Artificial Intelligence, Bellevue, Washington, July 2013.
Brandon Malone, Changhe Yuan, Eric Hansen and Susan Bridges. “Learning Optimal Bayesian Networks with Expert Knowledge,” 9th Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, Oxford, Mississippi, February 2012.
Brandon Malone, Changhe Yuan and Eric Hansen, "Memory-efficient dynamic programming for learning optimal Bayesian networks," 25th AAAI Conference on Artificial Intelligence, San Francisco, California, August 2011.
Brandon Malone, Changhe Yuan, Eric Hansen and Susan Bridges, “Cracking the Histone Code with Exact Bayesian Networks,” 8th Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, College Station, Texas, April 2011.
Brandon Malone, Changhe Yuan and Susan Bridges, “Using Equivalence Classes of Bayesian Networks to Crack the Histone Code,” Mississippi EPSCoR Meeting, Jackson, Mississippi, September 2010.
Brandon Malone, Susan Bridges, Feng Tan and Zhaohua Peng, “Algorithms for Analysis of ChIP-Seq Data for Characterization of Histone Modifications in Rice,” 7th Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, Jonesboro, Arkansas, February 2010.
Brandon Malone, Travis Atkison, Martha Kosa and Frank Hadlock, "Pedagogically Effective Effortless Algorithm Visualization with a PCIL," 39th IEEE Frontiers in Education, San Antonio, Texas, October 2009.
Brandon Malone and Andy Perkins, "Integrating Phenotype and Gene Expression Data for Predicting Gene Function," Mississippi Academy of Sciences, Olive Branch, Mississippi, February 2009.
Guest Lectures and Invited Talks
"Making Bayesian Network Structure Learning Easy," University of York, April 2014.
"Learning When Hard Problems Are Easy," University of Helsinki, Finland, January 2014.
"Learning Optimal Bayesian Networks with Heuristic Search," CSE 8990, Mississippi State University, Mississippi State, MS, February 2011.
"Machine Learning with Weka for Software Engineering," CSE 8283, Mississippi State University, MS, April 2010.
Class and Other Presentations
"Wading through the Data Deluge with Bayesian Networks," Mississippi State University, MS, April 2012. Flyer.
"Edge Constrained Optimal Search," March 2012.
"Learning Optimal Bayesian Networks with Mathematical Programming," February 2012.
"The Bayesian Dirichlet Family of Scoring Functions," January 2012.