Brandon M. Malone

Publication Activity (10 Years)

Years Active: 2008-2019
Publications (10 Years): 8

Top Topics

Empirical Evaluation

Bayesian Networks

Branch And Bound

Scoring Functions

Top Venues

Publications

A. Sargeant, Tatiana von Landesberger, C. Baier, F. Bange, A. Dalpke, T. Eckmanns, Stephan Glöckner, M. Kaase, Gérard Krause, Michael Marschollek, Brandon M. Malone, Mathias Niepert, S. Rey, Antje Wulff, Simone Scheithauer
Early Detection of Infection Chains & Outbreaks: Use Case Infection Control. EFMI-STC (2019)
Brandon M. Malone, Alberto García-Durán, Mathias Niepert
Knowledge Graph Completion to Predict Polypharmacy Side Effects. CoRR (2018)
Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki
Empirical hardness of finding optimal Bayesian network structures: algorithm selection and runtime prediction. Mach. Learn. 107 (1) (2018)
Brandon M. Malone, Alberto García-Durán, Mathias Niepert
Knowledge Graph Completion to Predict Polypharmacy Side Effects. DILS (2018)
Brandon M. Malone, Alberto García-Durán, Mathias Niepert
Learning Representations of Missing Data for Predicting Patient Outcomes. CoRR (2018)
Joe Suzuki, Antti Hyttinen, Brandon M. Malone
Advanced Methodologies for Bayesian Networks 2017: Preface. AMBN (2017)
Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki
AS-ASL: Algorithm Selection with Auto-sklearn. OASC (2017)
Niklas Jahnsson, Brandon M. Malone, Petri Myllymäki
Duplicate Detection for Bayesian Network Structure Learning. New Gener. Comput. 35 (1) (2017)
Niklas Jahnsson, Brandon M. Malone, Petri Myllymäki
Hashing-Based Hybrid Duplicate Detection for Bayesian Network Structure Learning. AMBN@JSAI-isAI (2015)
Brandon M. Malone, Matti Järvisalo, Petri Myllymäki
Impact of Learning Strategies on the Quality of Bayesian Networks: An Empirical Evaluation. UAI (2015)
Paul Saikko, Brandon M. Malone, Matti Järvisalo
MaxSAT-Based Cutting Planes for Learning Graphical Models. CPAIOR (2015)
Nitin Sukhija, Brandon M. Malone, Srishti Srivastava, Ioana Banicescu, Florina M. Ciorba
Portfolio-Based Selection of Robust Dynamic Loop Scheduling Algorithms Using Machine Learning. IPDPS Workshops (2014)
Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki
Predicting the Hardness of Learning Bayesian Networks. AAAI (2014)
Xiannian Fan, Changhe Yuan, Brandon M. Malone
Tightening Bounds for Bayesian Network Structure Learning. AAAI (2014)
Xiannian Fan, Brandon M. Malone, Changhe Yuan
Finding Optimal Bayesian Network Structures with Constraints Learned from Data. UAI (2014)
Jeremias Berg, Matti Järvisalo, Brandon M. Malone
Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability. AISTATS (2014)
Brandon M. Malone, Changhe Yuan
Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks. CoRR (2013)
Brandon M. Malone, Changhe Yuan
Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks. UAI (2013)
Srishti Srivastava, Brandon M. Malone, Nitin Sukhija, Ioana Banicescu, Florina M. Ciorba
Predicting the Flexibility of Dynamic Loop Scheduling Using an Artificial Neural Network. ISPDC (2013)
Brandon M. Malone, Changhe Yuan
A Depth-First Branch and Bound Algorithm for Learning Optimal Bayesian Networks. GKR (2013)
Changhe Yuan, Brandon M. Malone
Learning Optimal Bayesian Networks: A Shortest Path Perspective. J. Artif. Intell. Res. 48 (2013)
Changhe Yuan, Brandon M. Malone
An Improved Admissible Heuristic for Learning Optimal Bayesian Networks. UAI (2012)
Zhifa Liu, Brandon M. Malone, Changhe Yuan
Empirical evaluation of scoring functions for Bayesian network model selection. BMC Bioinform. 13 (S-15) (2012)
Brandon M. Malone, Changhe Yuan, Eric A. Hansen, Susan Bridges
Improving the Scalability of Optimal Bayesian Network Learning with External-Memory Frontier Breadth-First Branch and Bound Search. CoRR (2012)
Changhe Yuan, Brandon M. Malone
An Improved Admissible Heuristic for Learning Optimal Bayesian Networks CoRR (2012)
Brandon M. Malone, Changhe Yuan, Eric A. Hansen
Memory-Efficient Dynamic Programming for Learning Optimal Bayesian Networks. AAAI (2011)
Brandon M. Malone, Changhe Yuan, Eric A. Hansen, Susan Bridges
Improving the Scalability of Optimal Bayesian Network Learning with External-Memory Frontier Breadth-First Branch and Bound Search. UAI (2011)
William S. Sanders, Nan Wang, Susan M. Bridges, Brandon M. Malone, Yoginder S. Dandass, Fiona M. McCarthy, Bindu Nanduri, Mark L. Lawrence, Shane C. Burgess
The Proteogenomic Mapping Tool. BMC Bioinform. 12 (2011)
Changhe Yuan, Brandon M. Malone, XiaoJian Wu
Learning Optimal Bayesian Networks Using A* Search. IJCAI (2011)
Brandon M. Malone, Andy D. Perkins, Susan M. Bridges
Integrating phenotype and gene expression data for predicting gene function. BMC Bioinform. 10 (S-11) (2009)
Michael K. Baldwin, Brandon M. Malone
Utilizing smart cards for authentication and compliance tracking in a diabetes case management system. ACM Southeast Regional Conference (2008)
Brandon M. Malone, Ambareen Siraj
Tracking requirements and threats for secure software development. ACM Southeast Regional Conference (2008)