Brandon Malone, Kustaa Kangas, Matti Jarvisalo, Mikko Koivisto and Petri Myllymaki. “Predicting the Hardness of Learning Bayesian Networks,” 28th AAAI Conference on Artificial Intelligence, Quebec City, Canada, July 2014.
Xiannian Fan, Changhe Yuan and Brandon Malone. “Tightening Bounds for Bayesian Network Structure Learning,” 28th AAAI Conference on Artificial Intelligence, Quebec City, Canada, July 2014.
Xiannian Fan, Brandon Malone and Changhe Yuan. “Finding Optimal Bayesian Network Structures with Constraints Learned from Data,” 30th Conference on Uncertainty in Artificial Intelligence, Quebec City, Canada, July 2014.
Jeremias Berg, Matti Jarvisalo and Brandon Malone. “Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability,” 17th International Conference on Artificial Intelligence and Statistics, Reykjavik, Iceland, April 2014.
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 and Changhe Yuan. "A Bounded Error, Anytime, Parallel Algorithm for Exact Bayesian Network Structure Learning," 6th European Workshop on Probabilistic Graphical Models, Granada, Spain, September 2012.
Changhe Yuan and Brandon Malone. "An Improved Admissible Heuristic for Finding Optimal Bayesian Networks," 28th Conference on Uncertainty in Artificial Intelligence, Catalina Island, California, August 2012.
Brandon Malone, Changhe Yuan, Eric Hansen and Susan Bridges. “Learning Optimal Bayesian Networks with Expert Knowledge,” Mississippi EPSCoR Meeting, Jackson, Mississippi, April 2012. Second Place Graduate Student Award.
Brandon Malone, Zhifa Liu and Changhe Yuan. “Feature Selection and Prediction with a Markov Blanket Structure Learning Algorithm ,” 9th Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, Oxford, Mississippi, February 2012.
Zhifa Liu, Brandon Malone and Changhe Yuan. “Empirical Evaluation of Scoring Functions in Optimal Bayesian Network Model Selection,” 9th Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, Oxford, Mississippi, February 2012.
Abiola Olaniyan, Brandon Malone and Susan Bridges. “An Empirical Comparison of Bayesian Network Learning Algorithms on Biological Datasets,” 9th Annual Conference of the MidSouth Computational Biology and Bioinformatics Society, Oxford, Mississippi, February 2012.
Brandon Malone, Changhe Yuan, Eric Hansen and Susan Bridges, “Seq-ing the Epigenetic Code with Exact Bayesian Network Structure Learning,” National EPSCoR Meeting, Coeur d'Alene, Idaho, October 2011.
Brandon Malone, Changhe Yuan and Eric Hansen, "Improving the Scalability of Optimal Bayesian Network Learning with Frontier Breadth-First Branch and Bound Search," 27th Conference on Uncertainty in Artificial Intelligence, Barcelona, Spain, July 2011.
Abiola Olaniyan, Brandon Malone and Susan Bridges, "Comparing Approximate and Exact Bayesian Network Structure Learning Algorithms with and without Constraints," MSU Summer Undergraduate Research Symposium, Starkville, Mississippi, July 2011.
Changhe Yuan, Brandon Malone and Xiaojian Wu, "Learning Optimal Bayesian Networks using A* Search," International Joint Conference on Artificial Intelligence, Barcelona, Spain, July 2011.
Brandon Malone, Changhe Yuan, Eric Hansen and Susan Bridges, “Using Optimal Bayesian Networks to Decipher the Histone Code,” Mississippi EPSCoR Meeting, Jackson, Mississippi, April 2011. Best Graduate Student Award, Computational Biology.
Abiola Olaniyan, Brandon Malone and Susan Bridges, “The Effect of Normalization on the Classification of Genes According to Epigenetic Modifications,” MidSouth Computational Biology and Bioinformatics Society, College Station, Texas, April 2011.
Brandon Malone, Susan Bridges, Feng Tan and Zhaohua Peng, “Examining the Relationship between H3K27me3 and Gene Expression in Rice Endosperm using ChIP-Seq,” Plant and Animal Genomes XVIII Conference, San Diego, California, January 2010.
Brandon Malone, Martha Kosa, and Frank Hadlock, "A PCIL to Assist in Algorithm Visualization," The 40th ACM Technical Symposium on Computer Science Education, Chattanooga, Tennessee, March 2009.
Brandon Malone and Andy Perkins, "Predicting Gene Function using an Integrated Similarity Graph," MidSouth Computational Biology and Bioinformatics Society, Starkville, Mississippi, February 2009.