Brandon M. Malone

发表

An Improved Admissible Heuristic for Learning Optimal Bayesian Networks

Changhe Yuan, Brandon M. Malone, Changhe Yuan, 2012, UAI.

Predicting the Flexibility of Dynamic Loop Scheduling Using an Artificial Neural Network

Brandon M. Malone, Ioana Banicescu, Srishti Srivastava, 2013, 2013 IEEE 12th International Symposium on Parallel and Distributed Computing.

Empirical evaluation of scoring functions for Bayesian network model selection

Changhe Yuan, Brandon M. Malone, Zhifa Liu, 2012, BMC Bioinformatics.

Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks pdf

Changhe Yuan, Brandon M. Malone, Changhe Yuan, 2013, UAI.

Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability

Brandon M. Malone, Matti Järvisalo, Jeremias Berg, 2014, AISTATS.

The Proteogenomic Mapping Tool

Brandon M. Malone, Nan Wang, Yoginder S. Dandass, 2011, BMC Bioinformatics.

AS-ASL: Algorithm Selection with Auto-sklearn

Brandon M. Malone, Mikko Koivisto, Petri Myllymäki, 2017, OASC.

Portfolio-Based Selection of Robust Dynamic Loop Scheduling Algorithms Using Machine Learning

Brandon M. Malone, Ioana Banicescu, Srishti Srivastava, 2014, 2014 IEEE International Parallel & Distributed Processing Symposium Workshops.

Finding Optimal Bayesian Network Structures with Constraints Learned from Data

Changhe Yuan, Brandon M. Malone, Xiannian Fan, 2014, UAI.

MaxSAT-Based Cutting Planes for Learning Graphical Models

Brandon M. Malone, Matti Järvisalo, Paul Saikko, 2015, CPAIOR.

Impact of Learning Strategies on the Quality of Bayesian Networks: An Empirical Evaluation

Brandon M. Malone, Petri Myllymäki, Matti Järvisalo, 2015, UAI.

Predicting the Hardness of Learning Bayesian Networks

Brandon M. Malone, Mikko Koivisto, Petri Myllymäki, 2014, AAAI.

Improving the Scalability of Optimal Bayesian Network Learning with External-Memory Frontier Breadth-First Branch and Bound Search pdf

Changhe Yuan, Brandon M. Malone, Susan M. Bridges, 2011, UAI.

Tracking requirements and threats for secure software development

Brandon M. Malone, Ambareen Siraj, 2008, ACM-SE 46.

Utilizing smart cards for authentication and compliance tracking in a diabetes case management system

Brandon M. Malone, Michael K. Baldwin, 2008, ACM-SE 46.

Learning Optimal Bayesian Networks: A Shortest Path Perspective

Changhe Yuan, Brandon M. Malone, Changhe Yuan, 2013, J. Artif. Intell. Res..

Learning optimal Bayesian networks with heuristic search

Brandon M. Malone, 2012 .

Learning Representations of Missing Data for Predicting Patient Outcomes pdf

Brandon M. Malone, Mathias Niepert, Alberto García-Durán, 2018, ArXiv.

Memory-Efficient Dynamic Programming for Learning Optimal Bayesian Networks

Changhe Yuan, Brandon M. Malone, Eric A. Hansen, 2011, AAAI.

Empirical hardness of finding optimal Bayesian network structures: algorithm selection and runtime prediction

Brandon M. Malone, Mikko Koivisto, Petri Myllymäki, 2017, Machine Learning.

Hashing-Based Hybrid Duplicate Detection for Bayesian Network Structure Learning

Brandon M. Malone, Petri Myllymäki, Niklas Jahnsson, 2015, AMBN@JSAI-isAI.

Integrating phenotype and gene expression data for predicting gene function.

Brandon M. Malone, Susan M. Bridges, Andy D. Perkins, 2009, BMC bioinformatics.

A Depth-First Branch and Bound Algorithm for Learning Optimal Bayesian Networks

Changhe Yuan, Brandon M. Malone, Changhe Yuan, 2013, GKR.

Early Detection of Infection Chains & Outbreaks: Use Case Infection Control

Brandon M. Malone, Michael Marschollek, Mathias Niepert, 2019, EFMI-STC.

Knowledge Graph Completion to Predict Polypharmacy Side Effects

Brandon M. Malone, Mathias Niepert, Alberto García-Durán, 2018, DILS.

Tightening Bounds for Bayesian Network Structure Learning

Changhe Yuan, Brandon M. Malone, Xiannian Fan, 2014, AAAI.

Advanced Methodologies for Bayesian Networks 2017: Preface

Brandon M. Malone, Joe Suzuki, Antti Hyttinen, 2017, AMBN.

Learning Optimal Bayesian Networks Using A* Search

Changhe Yuan, Brandon M. Malone, XiaoJian Wu, 2011, IJCAI.

Duplicate Detection for Bayesian Network Structure Learning

Brandon M. Malone, P. Myllymäki, Niklas Jahnsson, 2016, New Generation Computing.

A Learning-based Selection for Portfolio Scheduling of Scientific Applications on Heterogeneous Computing Systems

Brandon M. Malone, Ioana Banicescu, Srishti Srivastava, 2014, CloudCom 2014.

Empirical Behavior of Bayesian Network Structure Learning Algorithms

Brandon M. Malone, Brandon Malone, 2015, AMBN@JSAI-isAI.