Laura E. Brown

36 papers A* 7B 4C 6Misc 3Journal 7Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Legends and Maps: Efforts to Reveal Hidden Curricula Knowledge Within Our Institution and Its Computing Courses. RESPECT Briana Bettin, Joseph Roy Teahen, Isabella Gatti, Andrea Llanas, Tony Garnett, Tim Perr, Leo C. Ureel, Laura E. Brown
2023	C	`conf`	Engaging Novice Programmers: A Literature Review of the Effect of Code Critiquers on Programming Self-efficacy. FIE Mary E. Benjamin, Laura E. Brown, Jon Sticklen, Leo C. Ureel, Michelle Jarvie-Eggart
2023	C	`conf`	Extending the Usability of WebTA with Unified ASTs and Errors. FIE Joseph Roy Teahen, Daniel T. Masker, Leo C. Ureel, Michelle Jarvie-Eggart, Jon Sticklen, Laura E. Brown
2023	C	`conf`	Work-in-Progress: Preliminary Work Introducing Automated Code Critiques in First-Year Engineering MATLAB Programming. FIE Laura Albrant, Pradnya Pendse, Laura E. Brown, Jon Sticklen, Michelle Jarvie-Eggart, Leo C. Ureel
2023	C	`conf`	Work-in-Progress: Python Code Critiquer, a Machine Learning Approach. FIE Laura Albrant, Pradnya Pendse, Danieal Dasker, Laura E. Brown, Jon Sticklen, Michelle Jarvie-Eggart, Leo C. Ureel
2022	Misc	`conf`	A Few-shot Learning Model based on a Triplet Network for the Prediction of Energy Coincident Peak Days. FLAIRS Jinxiang Liu, Laura E. Brown
2019	J	`jnl`	Hierarchical Bayesian Model for Probabilistic Analysis of Electric Vehicle Battery Degradation. CoRR Mehdi Jafari, Laura E. Brown, Lucia Gauchia
2019	B	`conf`	Machine Learning for Fine-Grained Hardware Prefetcher Control. ICPP Jason Hiebel, Laura E. Brown, Zhenlin Wang
2019	—	`conf`	Prediction of Hour of Coincident Daily Peak Load. ISGT Jinxiang Liu, Laura E. Brown
2018	C	`conf`	An Ontology for Solar Irradiation Forecast Models. KEOD Abhilash Kantamneni, Laura E. Brown
2018	B	`conf`	Constructing Dynamic Policies for Paging Mode Selection. ICPP Jason Hiebel, Laura E. Brown, Zhenlin Wang
2018	B	`conf`	Lab exercises for a discrete structures course: exploring logic and relational algebra with Alloy. ITiCSE Laura E. Brown, Adam Feltz, Charles Wallace
2017	Misc	`conf`	Detection of Weight Data-Entry Errors. AMIA Jing Liu, Laura E. Brown, Judith W. Dexheimer, Stephen Andrew Spooner
2016	A*	`conf`	A Survey of Current Practice and Teaching of AI. AAAI Michael Wollowski, Robert Selkowitz, Laura E. Brown, Ashok K. Goel, George Luger, Jim Marshall, Andrew Neel, Todd W. Neller, Peter Norvig
2016	A*	`conf`	Model AI Assignments 2016. AAAI Todd W. Neller, Laura E. Brown, James B. Marshall, Lisa Torrey, Nate Derbinsky, Andrew A. Ward, Thomas E. Allen, Judy Goldsmith, Nahom Muluneh
2016	—	`conf`	Representation and incorporation of clinical information in outpatient oncology prognosis using Bayesian networks and Naïve Bayes. EIT Jennifer Winikus, Laura E. Brown
2015	B	`conf`	Modeling Cross-Architecture Co-Tenancy Performance Interference. CCGRID Wei Kuang, Laura E. Brown, Zhenlin Wang
2015	J	`jnl`	Selective switching mechanism in virtual machines via support vector machines and transfer learning. Mach. Learn. Wei Kuang, Laura E. Brown, Zhenlin Wang
2015	J	`jnl`	Survey of multi-agent systems for microgrid control. Eng. Appl. Artif. Intell. Abhilash Kantamneni, Laura E. Brown, Gordon G. Parker, Wayne W. Weaver
2015	A*	`conf`	Transfer Learning-Based Co-Run Scheduling for Heterogeneous Datacenters. AAAI Wei Kuang, Laura E. Brown, Zhenlin Wang
2014	A*	`conf`	Model AI Assignments 2014. AAAI Todd W. Neller, Laura E. Brown, Roger L. West, James E. Heliotis, Sean Strout, Ivona Bezáková, Bikramjit Banerjee, Daniel Lucas Thompson
2013	A*	`conf`	EAAI-13 Preface. AAAI Laura E. Brown, David Kauchak
2013	J	`jnl`	Educational Advances in Artificial Intelligence. AI Mag. Laura E. Brown, David Kauchak
2013	C	`conf`	Perceptions and influencers affecting engineering and computer science student persistence. FIE Kaitlyn J. Bunker, Laura E. Brown, Leonard Bohmann, Gretchen Hein, Nilufer Onder, Raven R. Rebb
2012	—	`conf`	Model AI Assignments 2012. EAAI Todd W. Neller, Laura E. Brown, John Earnest, Jason Hiebel, Douglas Turnbull
2012	J	`jnl`	To feature space and back: Identifying top-weighted features in polynomial Support Vector Machine models. Intell. Data Anal. Laura E. Brown, Ioannis Tsamardinos, Douglas P. Hardin
2009	—	`—`	Novel Methods for Variable Selection in Non-faithful Domains, Understanding Support Vector Machines, Learning Regions of Bayesian Networks, and Prediction Under Manipulation. Laura E. Brown
2008	—	`conf`	A Strategy for Making Predictions Under Manipulation. WCCI Causation and Prediction Challenge Laura E. Brown, Ioannis Tsamardinos
2008	A*	`conf`	Bounding the False Discovery Rate in Local Bayesian Network Learning. AAAI Ioannis Tsamardinos, Laura E. Brown
2007	—	`conf`	Comparing Decision Support Methodologies for Identifying Asthma Exacerbations. MedInfo Judith W. Dexheimer, Laura E. Brown, Jeffrey Leegon, Dominik Aronsky
2006	Misc	`conf`	Generating Realistic Large Bayesian Networks by Tiling. FLAIRS Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown, Constantin F. Aliferis
2006	J	`jnl`	The max-min hill-climbing Bayesian network structure learning algorithm. Mach. Learn. Ioannis Tsamardinos, Laura E. Brown, Constantin F. Aliferis
2005	A*	`conf`	A Comparison of Novel and State-of-the-Art Polynomial Bayesian Network Learning Algorithms. AAAI Laura E. Brown, Ioannis Tsamardinos, Constantin F. Aliferis
2004	—	`conf`	A Novel Algorithm for Scalable and Accurate Bayesian Network Learning. MedInfo Laura E. Brown, Ioannis Tsamardinos, Constantin F. Aliferis
2003	J	`jnl`	Autominder: an intelligent cognitive orthotic system for people with memory impairment. Robotics Auton. Syst. Martha E. Pollack, Laura E. Brown, Dirk Colbry, Colleen E. McCarthy, Cheryl Orosz, Bart Peintner, Sailesh Ramakrishnan, Ioannis Tsamardinos
2003	—	`conf`	Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery. METMBS Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown