Laura E. Brown

According to our database, Laura E. Brown authored at least 35 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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

Proceedings of the IEEE Frontiers in Education Conference, 2023

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

Proceedings of the IEEE Frontiers in Education Conference, 2023

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

Proceedings of the IEEE Frontiers in Education Conference, 2023

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

Proceedings of the IEEE Frontiers in Education Conference, 2023

2022

A Few-shot Learning Model based on a Triplet Network for the Prediction of Energy Coincident Peak Days.

Jinxiang Liu, Laura E. Brown

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2019

Hierarchical Bayesian Model for Probabilistic Analysis of Electric Vehicle Battery Degradation.

Mehdi Jafari, Laura E. Brown, Lucia Gauchia

CoRR, 2019

Prediction of Hour of Coincident Daily Peak Load.

Jinxiang Liu, Laura E. Brown

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019

Machine Learning for Fine-Grained Hardware Prefetcher Control.

Jason Hiebel, Laura E. Brown, Zhenlin Wang

Proceedings of the 48th International Conference on Parallel Processing, 2019

2018

Lab exercises for a discrete structures course: exploring logic and relational algebra with Alloy.

Laura E. Brown, Adam Feltz, Charles Wallace

Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, 2018

Constructing Dynamic Policies for Paging Mode Selection.

Jason Hiebel, Laura E. Brown, Zhenlin Wang

Proceedings of the 47th International Conference on Parallel Processing, 2018

An Ontology for Solar Irradiation Forecast Models.

Abhilash Kantamneni, Laura E. Brown

Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

2017

Detection of Weight Data-Entry Errors.

Jing Liu, Laura E. Brown, Judith W. Dexheimer, Stephen Andrew Spooner

Proceedings of the AMIA 2017, 2017

2016

Representation and incorporation of clinical information in outpatient oncology prognosis using Bayesian networks and Naïve Bayes.

Jennifer Winikus, Laura E. Brown

Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016

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

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

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

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Selective switching mechanism in virtual machines via support vector machines and transfer learning.

Wei Kuang, Laura E. Brown, Zhenlin Wang

Mach. Learn., 2015

Survey of multi-agent systems for microgrid control.

Abhilash Kantamneni, Laura E. Brown, Gordon G. Parker, Wayne W. Weaver

Eng. Appl. Artif. Intell., 2015

Modeling Cross-Architecture Co-Tenancy Performance Interference.

Wei Kuang, Laura E. Brown, Zhenlin Wang

Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

Transfer Learning-Based Co-Run Scheduling for Heterogeneous Datacenters.

Wei Kuang, Laura E. Brown, Zhenlin Wang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Model AI Assignments 2014.

Todd W. Neller, Laura E. Brown, Roger L. West, James E. Heliotis, Sean Strout, Ivona Bezáková, Bikramjit Banerjee, Daniel Lucas Thompson

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Educational Advances in Artificial Intelligence.

Laura E. Brown, David Kauchak

AI Mag., 2013

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

Proceedings of the IEEE Frontiers in Education Conference, 2013

EAAI-13 Preface.

Laura E. Brown, David Kauchak

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

To feature space and back: Identifying top-weighted features in polynomial Support Vector Machine models.

Laura E. Brown, Ioannis Tsamardinos, Douglas P. Hardin

Intell. Data Anal., 2012

Model AI Assignments 2012.

Todd W. Neller, Laura E. Brown, John Earnest, Jason Hiebel, Douglas Turnbull

Proceedings of the Third Symposium on Education Advances in Artificial Intelligence, 2012

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

PhD thesis, 2009

2008

A Strategy for Making Predictions Under Manipulation.

Laura E. Brown, Ioannis Tsamardinos

Proceedings of the Causation and Prediction Challenge at WCCI 2008, 2008

Bounding the False Discovery Rate in Local Bayesian Network Learning.

Ioannis Tsamardinos, Laura E. Brown

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Comparing Decision Support Methodologies for Identifying Asthma Exacerbations.

Judith W. Dexheimer, Laura E. Brown, Jeffrey Leegon, Dominik Aronsky

Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007

2006

The max-min hill-climbing Bayesian network structure learning algorithm.

Ioannis Tsamardinos, Laura E. Brown, Constantin F. Aliferis

Mach. Learn., 2006

Generating Realistic Large Bayesian Networks by Tiling.

Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown, Constantin F. Aliferis

Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

2005

A Comparison of Novel and State-of-the-Art Polynomial Bayesian Network Learning Algorithms.

Laura E. Brown, Ioannis Tsamardinos, Constantin F. Aliferis

Proceedings of the Proceedings, 2005

2004

A Novel Algorithm for Scalable and Accurate Bayesian Network Learning.

Laura E. Brown, Ioannis Tsamardinos, Constantin F. Aliferis

Proceedings of the MEDINFO 2004, 2004

2003

Autominder: an intelligent cognitive orthotic system for people with memory impairment.

Martha E. Pollack, Laura E. Brown, Dirk Colbry, Colleen E. McCarthy, Cheryl Orosz, Bart Peintner, Sailesh Ramakrishnan, Ioannis Tsamardinos

Robotics Auton. Syst., 2003

Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery.

Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown

Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, 2003