Brandon M. Malone

34 papers A* 4A 6B 1C 1Journal 12Unranked 9
YearRankTypeTitle / Venue / Authors
2021 J jnl
BERTMHC: improved MHC-peptide class II interaction prediction with transformer and multiple instance learning.
Bioinform.
Jun Cheng, Kaïdre Bendjama, Karola Rittner, Brandon M. Malone
2019 — conf
Early Detection of Infection Chains & Outbreaks: Use Case Infection Control.
EFMI-STC
A. Sargeant, Tatiana von Landesberger, Claas Baier, F. Bange, Alexander Dalpke, Tim Eckmanns, Stephan Glöckner, Martin Kaase, Gérard Krause, Michael Marschollek, Brandon M. Malone, Mathias Niepert, S. Rey, Antje Wulff, Simone Scheithauer
2018 J jnl
Empirical hardness of finding optimal Bayesian network structures: algorithm selection and runtime prediction.
Mach. Learn.
Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki
2018 — conf
Knowledge Graph Completion to Predict Polypharmacy Side Effects.
DILS
Brandon M. Malone, Alberto García-Durán, Mathias Niepert
2018 J jnl
Knowledge Graph Completion to Predict Polypharmacy Side Effects.
CoRR
Brandon M. Malone, Alberto García-Durán, Mathias Niepert
2018 J jnl
Learning Representations of Missing Data for Predicting Patient Outcomes.
CoRR
Brandon M. Malone, Alberto García-Durán, Mathias Niepert
2017 — conf
AS-ASL: Algorithm Selection with Auto-sklearn.
OASC
Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki
2017 — conf
Advanced Methodologies for Bayesian Networks 2017: Preface.
AMBN
Joe Suzuki, Antti Hyttinen, Brandon M. Malone
2017 J jnl
Duplicate Detection for Bayesian Network Structure Learning.
New Gener. Comput.
Niklas Jahnsson, Brandon M. Malone, Petri Myllymäki
2017 — ed.
Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks, AMBN 2017, Kyoto, Japan, September 20-22, 2017
AMBN
Antti Hyttinen, Joe Suzuki, Brandon M. Malone
2015 — conf
Hashing-Based Hybrid Duplicate Detection for Bayesian Network Structure Learning.
AMBN@JSAI-isAI
Niklas Jahnsson, Brandon M. Malone, Petri Myllymäki
2015 A conf
Impact of Learning Strategies on the Quality of Bayesian Networks: An Empirical Evaluation.
UAI
Brandon M. Malone, Matti Järvisalo, Petri Myllymäki
2015 B conf
MaxSAT-Based Cutting Planes for Learning Graphical Models.
CPAIOR
Paul Saikko, Brandon M. Malone, Matti Järvisalo
2014 A conf
Finding Optimal Bayesian Network Structures with Constraints Learned from Data.
UAI
Xiannian Fan, Brandon M. Malone, Changhe Yuan
2014 A conf
Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability.
AISTATS
Jeremias Berg, Matti Järvisalo, Brandon M. Malone
2014 — conf
Portfolio-Based Selection of Robust Dynamic Loop Scheduling Algorithms Using Machine Learning.
IPDPS Workshops
Nitin Sukhija, Brandon M. Malone, Srishti Srivastava, Ioana Banicescu, Florina M. Ciorba
2014 A* conf
Predicting the Hardness of Learning Bayesian Networks.
AAAI
Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki
2014 A* conf
Tightening Bounds for Bayesian Network Structure Learning.
AAAI
Xiannian Fan, Changhe Yuan, Brandon M. Malone
2013 — conf
A Depth-First Branch and Bound Algorithm for Learning Optimal Bayesian Networks.
GKR
Brandon M. Malone, Changhe Yuan
2013 A conf
Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks.
UAI
Brandon M. Malone, Changhe Yuan
2013 J jnl
Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks.
CoRR
Brandon M. Malone, Changhe Yuan
2013 J jnl
Learning Optimal Bayesian Networks: A Shortest Path Perspective.
J. Artif. Intell. Res.
Changhe Yuan, Brandon M. Malone
2013 C conf
Predicting the Flexibility of Dynamic Loop Scheduling Using an Artificial Neural Network.
ISPDC
Srishti Srivastava, Brandon M. Malone, Nitin Sukhija, Ioana Banicescu, Florina M. Ciorba
2012 J jnl
An Improved Admissible Heuristic for Learning Optimal Bayesian Networks
CoRR
Changhe Yuan, Brandon M. Malone
2012 A conf
An Improved Admissible Heuristic for Learning Optimal Bayesian Networks.
UAI
Changhe Yuan, Brandon M. Malone
2012 J jnl
Empirical evaluation of scoring functions for Bayesian network model selection.
BMC Bioinform.
Zhifa Liu, Brandon M. Malone, Changhe Yuan
2012 J jnl
Improving the Scalability of Optimal Bayesian Network Learning with External-Memory Frontier Breadth-First Branch and Bound Search.
CoRR
Brandon M. Malone, Changhe Yuan, Eric A. Hansen, Susan Bridges
2011 A conf
Improving the Scalability of Optimal Bayesian Network Learning with External-Memory Frontier Breadth-First Branch and Bound Search.
UAI
Brandon M. Malone, Changhe Yuan, Eric A. Hansen, Susan Bridges
2011 A* conf
Learning Optimal Bayesian Networks Using A* Search.
IJCAI
Changhe Yuan, Brandon M. Malone, Xiaojian Wu
2011 A* conf
Memory-Efficient Dynamic Programming for Learning Optimal Bayesian Networks.
AAAI
Brandon M. Malone, Changhe Yuan, Eric A. Hansen
2011 J jnl
The Proteogenomic Mapping Tool.
BMC Bioinform.
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
2009 J jnl
Integrating phenotype and gene expression data for predicting gene function.
BMC Bioinform.
Brandon M. Malone, Andy D. Perkins, Susan M. Bridges
2008 — conf
Tracking requirements and threats for secure software development.
ACM Southeast Regional Conference
Brandon M. Malone, Ambareen Siraj
2008 — conf
Utilizing smart cards for authentication and compliance tracking in a diabetes case management system.
ACM Southeast Regional Conference
Michael K. Baldwin, Brandon M. Malone