default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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
Other persons with a similar name
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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, 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:
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-02-03 23:37 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
