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ORCIDBrandon M. Malone
Person information
- affiliation: NEC Laboratories Europe, Heidelberg, Germany
- affiliation: Helsinki Institute for Information Technology, Department of Computer Science, Finland
- affiliation: Mississippi State University, Department of Computer Science and Engineering, MS, USA
- affiliation: Tennessee Technological University, Cookeville, TN, USA
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2020 – today
- 2021
[j7]Jun Cheng
, Kaïdre Bendjama, Karola Rittner, Brandon M. Malone:
BERTMHC: improved MHC-peptide class II interaction prediction with transformer and multiple instance learning. Bioinform. 37(22): 4172-4179 (2021)
2010 – 2019
- 2019
- [c20]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: 245-246 - 2018
- [j6]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): 247-283 (2018) - [c19]Brandon M. Malone, Alberto García-Durán, Mathias Niepert:
Knowledge Graph Completion to Predict Polypharmacy Side Effects. DILS 2018: 144-149 - [i6]Brandon M. Malone, Alberto García-Durán, Mathias Niepert:
Knowledge Graph Completion to Predict Polypharmacy Side Effects. CoRR abs/1810.09227 (2018) - [i5]Brandon M. Malone, Alberto García-Durán, Mathias Niepert:
Learning Representations of Missing Data for Predicting Patient Outcomes. CoRR abs/1811.04752 (2018) - 2017
- [j5]Niklas Jahnsson, Brandon M. Malone, Petri Myllymäki:
Duplicate Detection for Bayesian Network Structure Learning. New Gener. Comput. 35(1): 47-67 (2017) - [c18]Joe Suzuki, Antti Hyttinen, Brandon M. Malone:
Advanced Methodologies for Bayesian Networks 2017: Preface. AMBN 2017: 1-2 - [e1]Antti Hyttinen, Joe Suzuki, Brandon M. Malone:
Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks, AMBN 2017, Kyoto, Japan, September 20-22, 2017. Proceedings of Machine Learning Research 73, PMLR 2017 [contents] - [i4]Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki:
AS-ASL: Algorithm Selection with Auto-sklearn. OASC 2017: 19-22 - 2015
- [c17]Paul Saikko, Brandon M. Malone, Matti Järvisalo:
MaxSAT-Based Cutting Planes for Learning Graphical Models. CPAIOR 2015: 347-356 - [c16]Niklas Jahnsson, Brandon M. Malone, Petri Myllymäki:
Hashing-Based Hybrid Duplicate Detection for Bayesian Network Structure Learning. AMBN@JSAI-isAI 2015: 46-60 - [c15]Brandon M. Malone, Matti Järvisalo, Petri Myllymäki:
Impact of Learning Strategies on the Quality of Bayesian Networks: An Empirical Evaluation. UAI 2015: 562-571 - 2014
- [c14]Xiannian Fan, Changhe Yuan, Brandon M. Malone:
Tightening Bounds for Bayesian Network Structure Learning. AAAI 2014: 2439-2445 - [c13]Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki:
Predicting the Hardness of Learning Bayesian Networks. AAAI 2014: 2460-2466 - [c12]Jeremias Berg, Matti Järvisalo, Brandon M. Malone:
Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability. AISTATS 2014: 86-95 - [c11]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: 1638-1647 - [c10]Xiannian Fan, Brandon M. Malone, Changhe Yuan:
Finding Optimal Bayesian Network Structures with Constraints Learned from Data. UAI 2014: 200-209 - 2013
- [j4]Changhe Yuan, Brandon M. Malone:
Learning Optimal Bayesian Networks: A Shortest Path Perspective. J. Artif. Intell. Res. 48: 23-65 (2013) - [c9]Brandon M. Malone, Changhe Yuan:
A Depth-First Branch and Bound Algorithm for Learning Optimal Bayesian Networks. GKR 2013: 111-122 - [c8]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: 3-10 - [c7]Brandon M. Malone, Changhe Yuan:
Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks. UAI 2013 - [i3]Brandon M. Malone, Changhe Yuan:
Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks. CoRR abs/1309.6844 (2013) - 2012
- [j3]Zhifa Liu, Brandon M. Malone, Changhe Yuan:
Empirical evaluation of scoring functions for Bayesian network model selection. BMC Bioinform. 13(S-15): S14 (2012) - [c6]Changhe Yuan, Brandon M. Malone:
An Improved Admissible Heuristic for Learning Optimal Bayesian Networks. UAI 2012: 924-933 - [i2]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 abs/1202.3744 (2012) - [i1]Changhe Yuan, Brandon M. Malone:
An Improved Admissible Heuristic for Learning Optimal Bayesian Networks. CoRR abs/1210.4913 (2012) - 2011
- [j2]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: 115 (2011) - [c5]Brandon M. Malone, Changhe Yuan, Eric A. Hansen:
Memory-Efficient Dynamic Programming for Learning Optimal Bayesian Networks. AAAI 2011: 1057-1062 - [c4]Changhe Yuan, Brandon M. Malone, XiaoJian Wu:
Learning Optimal Bayesian Networks Using A* Search. IJCAI 2011: 2186-2191 - [c3]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: 479-488
2000 – 2009
- 2009
- [j1]Brandon M. Malone, Andy D. Perkins, Susan M. Bridges:
Integrating phenotype and gene expression data for predicting gene function. BMC Bioinform. 10(S-11): 20 (2009) - 2008
- [c2]Brandon M. Malone, Ambareen Siraj:
Tracking requirements and threats for secure software development. ACM Southeast Regional Conference 2008: 278-281 - [c1]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: 521-522
Coauthor Index
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