Laura E. Brown
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
8
Active years
2005–2023
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | FIE | Work-in-Progress: Preliminary Work Introducing Automated Code Critiques in First-Year Engineering MATLAB Programming. | Laura Albrant, Pradnya Pendse, Laura E. Brown, Jon Sticklen, Michelle Jarvie-Eggart, Leo C. Ureel |
| 2023 | FIE | Work-in-Progress: Python Code Critiquer, a Machine Learning Approach. | Laura Albrant, Pradnya Pendse, Danieal Dasker, Laura E. Brown, Jon Sticklen, Michelle Jarvie-Eggart, Leo C. Ureel |
| 2023 | FIE | Engaging Novice Programmers: A Literature Review of the Effect of Code Critiquers on Programming Self-efficacy. | Mary E. Benjamin, Laura E. Brown, Jon Sticklen, Leo C. Ureel, Michelle Jarvie-Eggart |
| 2023 | FIE | Extending the Usability of WebTA with Unified ASTs and Errors. | Joseph Roy Teahen, Daniel T. Masker, Leo C. Ureel, Michelle Jarvie-Eggart, Jon Sticklen, Laura E. Brown |
| 2022 | FlAIRS | A Few-shot Learning Model based on a Triplet Network for the Prediction of Energy Coincident Peak Days. | Jinxiang Liu, Laura E. Brown |
| 2019 | ICPP | Machine Learning for Fine-Grained Hardware Prefetcher Control. | Jason Hiebel, Laura E. Brown, Zhenlin Wang |
| 2018 | IC3K | An Ontology for Solar Irradiation Forecast Models. | Abhilash Kantamneni, Laura E. Brown |
| 2018 | ICPP | Constructing Dynamic Policies for Paging Mode Selection. | Jason Hiebel, Laura E. Brown, Zhenlin Wang |
| 2018 | ITiCSE | Lab exercises for a discrete structures course: exploring logic and relational algebra with Alloy. | Laura E. Brown, Adam Feltz, Charles Wallace |
| 2017 | AMIA | Detection of Weight Data-Entry Errors. | Jing Liu, Laura E. Brown, Judith W. Dexheimer, Stephen Andrew Spooner |
| 2016 | AAAI | Model AI Assignments 2016. | Todd W. Neller, Laura E. Brown, James B. Marshall, Lisa Torrey, Nate Derbinsky, Andrew A. Ward, Thomas E. Allen, Judy Goldsmith, Nahom Muluneh |
| 2016 | AAAI | A Survey of Current Practice and Teaching of AI. | Michael Wollowski, Robert Selkowitz, Laura E. Brown, Ashok K. Goel, George Luger, Jim Marshall, Andrew Neel, Todd W. Neller, Peter Norvig |
| 2015 | AAAI | Transfer Learning-Based Co-Run Scheduling for Heterogeneous Datacenters. | Wei Kuang, Laura E. Brown, Zhenlin Wang |
| 2015 | CCGRID | Modeling Cross-Architecture Co-Tenancy Performance Interference. | Wei Kuang, Laura E. Brown, Zhenlin Wang |
| 2014 | AAAI | Model AI Assignments 2014. | Todd W. Neller, Laura E. Brown, Roger L. West, James E. Heliotis, Sean Strout, Ivona Bezkov, Bikramjit Banerjee, Daniel Lucas Thompson |
| 2013 | AAAI | EAAI-13 Preface. | Laura E. Brown, David Kauchak |
| 2013 | FIE | Perceptions and influencers affecting engineering and computer science student persistence. | Kaitlyn J. Bunker, Laura E. Brown, Leonard Bohmann, Gretchen Hein, Nilufer Onder, Raven R. Rebb |
| 2008 | AAAI | Bounding the False Discovery Rate in Local Bayesian Network Learning. | Ioannis Tsamardinos, Laura E. Brown |
| 2006 | FlAIRS | Generating Realistic Large Bayesian Networks by Tiling. | Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown, Constantin F. Aliferis |
| 2005 | AAAI | A Comparison of Novel and State-of-the-Art Polynomial Bayesian Network Learning Algorithms. | Laura E. Brown, Ioannis Tsamardinos, Constantin F. Aliferis |