![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Laura E. Brown
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-24 23:15 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint