Laura E. Brown
Laura E. Brown
Associate Professor of Computer Science, Michigan Technological University
Verified email at
Cited by
Cited by
The max-min hill-climbing Bayesian network structure learning algorithm
I Tsamardinos, LE Brown, CF Aliferis
Machine learning 65, 31-78, 2006
Autominder: An intelligent cognitive orthotic system for people with memory impairment
ME Pollack, L Brown, D Colbry, CE McCarthy, C Orosz, B Peintner, ...
Robotics and autonomous systems 44 (3-4), 273-282, 2003
Pearl: A mobile robotic assistant for the elderly
ME Pollack, L Brown, D Colbry, C Orosz, B Peintner, S Ramakrishnan, ...
AAAI workshop on automation as eldercare 2002, 85-91, 2002
Pearl: A mobile robotic assistant for the elderly
ME Pollack, L Brown, D Colbry, C Orosz, B Peintner, S Ramakrishnan, ...
AAAI workshop on automation as eldercare 2002, 85-91, 2002
Survey of multi-agent systems for microgrid control
A Kantamneni, LE Brown, GG Parker, WW Weaver
Engineering Applications of Artificial Intelligence 45, 192-203, 2015
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery.
CF Aliferis, I Tsamardinos, AR Statnikov, LE Brown
METMBS 3, 371-376, 2003
A survey of current practice and teaching of AI
M Wollowski, R Selkowitz, L Brown, A Goel, G Luger, J Marshall, A Neel, ...
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
A novel algorithm for scalable and accurate Bayesian network learning.
LE Brown, I Tsamardinos, CF Aliferis
Medinfo, 711-715, 2004
Autominder: A planning, monitoring, and reminding assistive agent
ME Pollack, CE McCarthy, S Ramakrishnan, I Tsamardinos, L Brown, ...
7th International Conference on Intelligent Autonomous Systems, 265-272, 2002
MFAssignR: Molecular formula assignment software for ultrahigh resolution mass spectrometry analysis of environmental complex mixtures
SK Schum, LE Brown, LR Mazzoleni
Environmental Research 191, 110114, 2020
Alfred: The robot waiter who remembers you
BA Maxwell, LA Meeden, N Addo, L Brown, P Dickson, J Ng, S Olshfski, ...
Proceedings of AAAI workshop on robotics, 1-12, 1999
Bounding the False Discovery Rate in Local Bayesian Network Learning.
I Tsamardinos, LE Brown
AAAI, 1100-1105, 2008
A comparison of novel and state-of-the-art polynomial bayesian network learning algorithms
LE Brown, I Tsamardinos, CF Aliferis
AAAI 2005, 739-745, 2005
Generating realistic large Bayesian networks by tiling
I Tsamardinos, A Statnikov, LE Brown, CF Aliferis
FLAIRS 2006-19th International Florida Artificial Intelligence Research …, 2006
Scaling-up bayesian network learning to thousands of variables using local learning techniques
I Tsamardinos, CF Aliferis, A Statnikov, LE Brown
Vanderbilt University DSL TR-03-02, 2003
Causal explorer: A matlab library of algorithms for causal discovery and variable selection for classification
A Statnikov, I Tsamardinos, LE Brown, CF Aliferis
Challenges in machine learning 2, 267-78, 2010
TGMI: an efficient algorithm for identifying pathway regulators through evaluation of triple-gene mutual interaction
C Gunasekara, K Zhang, W Deng, LE Brown, H Wei
Nucleic Acids Research 46 (11), e67, 2018
Comparing decision support methodologies for identifying asthma exacerbations
JW Dexheimer, LE Brown, J Leegon, D Aronsky
Studies in Health Technology and Informatics 129 (2), 880, 2007
Monofacial vs bifacial solar photovoltaic systems in snowy environments
KS Hayibo, A Petsiuk, P Mayville, L Brown, JM Pearce
Renewable Energy 193, 657-668, 2022
Switching reconfiguration of fraud detection within an electrical distribution network
Y Tang, CW Ten, LE Brown
2017 Resilience Week (RWS), 206-212, 2017
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