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2020 – today
- 2023
[c27]Laura Albrant, Pradnya Pendse, Laura E. Brown, Jon Sticklen, Michelle Jarvie-Eggart, Leo C. Ureel:
Work-in-Progress: Preliminary Work Introducing Automated Code Critiques in First-Year Engineering MATLAB Programming. FIE 2023: 1-5- [c26]Laura Albrant, Pradnya Pendse, Danieal Dasker, Laura E. Brown, Jon Sticklen, Michelle Jarvie-Eggart, Leo C. Ureel:
Work-in-Progress: Python Code Critiquer, a Machine Learning Approach. FIE 2023: 1-6 - [c25]Mary E. Benjamin, Laura E. Brown, Jon Sticklen, Leo C. Ureel, Michelle Jarvie-Eggart:
Engaging Novice Programmers: A Literature Review of the Effect of Code Critiquers on Programming Self-efficacy. FIE 2023: 1-9 - [c24]Joseph Roy Teahen, Daniel T. Masker, Leo C. Ureel, Michelle Jarvie-Eggart, Jon Sticklen, Laura E. Brown:
Extending the Usability of WebTA with Unified ASTs and Errors. FIE 2023: 1-5 - 2022
- [c23]Jinxiang Liu, Laura E. Brown:
A Few-shot Learning Model based on a Triplet Network for the Prediction of Energy Coincident Peak Days. FLAIRS 2022
2010 – 2019
- 2019
- [c22]Jason Hiebel, Laura E. Brown, Zhenlin Wang:
Machine Learning for Fine-Grained Hardware Prefetcher Control. ICPP 2019: 3:1-3:9 - [c21]Jinxiang Liu, Laura E. Brown:
Prediction of Hour of Coincident Daily Peak Load. ISGT 2019: 1-5 - [i1]Mehdi Jafari, Laura E. Brown, Lucia Gauchia:
Hierarchical Bayesian Model for Probabilistic Analysis of Electric Vehicle Battery Degradation. CoRR abs/1911.01399 (2019) - 2018
- [c20]Abhilash Kantamneni, Laura E. Brown:
An Ontology for Solar Irradiation Forecast Models. KEOD 2018: 261-268 - [c19]Jason Hiebel, Laura E. Brown, Zhenlin Wang:
Constructing Dynamic Policies for Paging Mode Selection. ICPP 2018: 72:1-72:9 - [c18]Laura E. Brown, Adam Feltz, Charles Wallace:
Lab exercises for a discrete structures course: exploring logic and relational algebra with Alloy. ITiCSE 2018: 135-140 - 2017
- [c17]Jing Liu, Laura E. Brown, Judith W. Dexheimer, Stephen Andrew Spooner:
Detection of Weight Data-Entry Errors. AMIA 2017 - 2016
- [c16]Michael Wollowski, Robert Selkowitz, Laura E. Brown, Ashok K. Goel, George Luger, Jim Marshall, Andrew Neel, Todd W. Neller, Peter Norvig:
A Survey of Current Practice and Teaching of AI. AAAI 2016: 4119-4125 - [c15]Todd W. Neller, Laura E. Brown, James B. Marshall, Lisa Torrey, Nate Derbinsky, Andrew A. Ward, Thomas E. Allen, Judy Goldsmith, Nahom Muluneh:
Model AI Assignments 2016. AAAI 2016: 4139-4141 - [c14]Jennifer Winikus
, Laura E. Brown:
Representation and incorporation of clinical information in outpatient oncology prognosis using Bayesian networks and Naïve Bayes. EIT 2016: 653-658 - 2015
- [j6]Abhilash Kantamneni, Laura E. Brown, Gordon G. Parker, Wayne W. Weaver:
Survey of multi-agent systems for microgrid control. Eng. Appl. Artif. Intell. 45: 192-203 (2015) - [j5]Wei Kuang, Laura E. Brown, Zhenlin Wang:
Selective switching mechanism in virtual machines via support vector machines and transfer learning. Mach. Learn. 101(1-3): 137-161 (2015) - [c13]Wei Kuang, Laura E. Brown, Zhenlin Wang:
Transfer Learning-Based Co-Run Scheduling for Heterogeneous Datacenters. AAAI 2015: 4247-4248 - [c12]Wei Kuang, Laura E. Brown, Zhenlin Wang:
Modeling Cross-Architecture Co-Tenancy Performance Interference. CCGRID 2015: 231-240 - 2014
- [c11]Todd W. Neller, Laura E. Brown, Roger L. West, James E. Heliotis, Sean Strout, Ivona Bezáková, Bikramjit Banerjee, Daniel Lucas Thompson:
Model AI Assignments 2014. AAAI 2014: 3054-3056 - 2013
- [j4]Laura E. Brown, David Kauchak:
Educational Advances in Artificial Intelligence. AI Mag. 34(4): 127- (2013) - [c10]Laura E. Brown, David Kauchak:
EAAI-13 Preface. AAAI 2013 - [c9]Kaitlyn J. Bunker, Laura E. Brown, Leonard Bohmann, Gretchen Hein, Nilufer Onder, Raven R. Rebb:
Perceptions and influencers affecting engineering and computer science student persistence. FIE 2013: 1138-1144 - 2012
- [j3]Laura E. Brown, Ioannis Tsamardinos, Douglas P. Hardin:
To feature space and back: Identifying top-weighted features in polynomial Support Vector Machine models. Intell. Data Anal. 16(4): 551-579 (2012) - [c8]Todd W. Neller, Laura E. Brown, John Earnest, Jason Hiebel, Douglas Turnbull:
Model AI Assignments 2012. EAAI 2012: 2377-2378
2000 – 2009
- 2009
- [b1]Laura E. Brown:
Novel Methods for Variable Selection in Non-faithful Domains, Understanding Support Vector Machines, Learning Regions of Bayesian Networks, and Prediction Under Manipulation. Vanderbilt University, Nashville, Tennessee, USA, 2009 - 2008
- [c7]Ioannis Tsamardinos, Laura E. Brown:
Bounding the False Discovery Rate in Local Bayesian Network Learning. AAAI 2008: 1100-1105 - [c6]Laura E. Brown, Ioannis Tsamardinos:
A Strategy for Making Predictions Under Manipulation. WCCI Causation and Prediction Challenge 2008: 35-52 - 2007
- [c5]Judith W. Dexheimer, Laura E. Brown, Jeffrey Leegon, Dominik Aronsky:
Comparing Decision Support Methodologies for Identifying Asthma Exacerbations. MedInfo 2007: 880-884 - 2006
- [j2]Ioannis Tsamardinos, Laura E. Brown, Constantin F. Aliferis:
The max-min hill-climbing Bayesian network structure learning algorithm. Mach. Learn. 65(1): 31-78 (2006) - [c4]Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown, Constantin F. Aliferis:
Generating Realistic Large Bayesian Networks by Tiling. FLAIRS 2006: 592-597 - 2005
- [c3]Laura E. Brown, Ioannis Tsamardinos, Constantin F. Aliferis:
A Comparison of Novel and State-of-the-Art Polynomial Bayesian Network Learning Algorithms. AAAI 2005: 739-745 - 2004
- [c2]Laura E. Brown, Ioannis Tsamardinos, Constantin F. Aliferis:
A Novel Algorithm for Scalable and Accurate Bayesian Network Learning. MedInfo 2004: 711-715 - 2003
- [j1]Martha E. Pollack, Laura E. Brown, Dirk Colbry, Colleen E. McCarthy, Cheryl Orosz, Bart Peintner, Sailesh Ramakrishnan, Ioannis Tsamardinos:
Autominder: an intelligent cognitive orthotic system for people with memory impairment. Robotics Auton. Syst. 44(3-4): 273-282 (2003) - [c1]Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown:
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery. METMBS 2003: 371-376
Coauthor Index
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