Scott Barlowe
Scott Barlowe
Associate Professor, Computer Science, Western Carolina University
Verified email at
Cited by
Cited by
Click2annotate: Automated insight externalization with rich semantics
Y Chen, S Barlowe, J Yang
2010 IEEE symposium on visual analytics science and technology, 155-162, 2010
VAET: A visual analytics approach for e-transactions time-series
C Xie, W Chen, X Huang, Y Hu, S Barlowe, J Yang
IEEE transactions on visualization and computer graphics 20 (12), 1743-1752, 2014
Supporting effective common ground construction in asynchronous collaborative visual analytics
Y Chen, J Alsakran, S Barlowe, J Yang, Y Zhao
2011 IEEE Conference on Visual Analytics Science and Technology (VAST), 101-110, 2011
Multivariate visual explanation for high dimensional datasets
S Barlowe, T Zhang, Y Liu, J Yang, D Jacobs
2008 IEEE Symposium on Visual Analytics Science and Technology, 147-154, 2008
Evaluating exploratory visualization systems: A user study on how clustering-based visualization systems support information seeking from large document collections
Y Liu, S Barlowe, Y Feng, J Yang, M Jiang
Information Visualization 12 (1), 25-43, 2013
Piwi: visually exploring graphs based on their community structure
J Yang, Y Liu, X Zhang, X Yuan, Y Zhao, S Barlowe, S Liu
IEEE Transactions on Visualization and Computer Graphics 19 (6), 1034-1047, 2012
A visual analytics approach to high-dimensional logistic regression modeling and its application to an environmental health study
C Zhang, J Yang, FB Zhan, X Gong, JD Brender, PH Langlois, S Barlowe, ...
2016 IEEE Pacific Visualization Symposium (PacificVis), 136-143, 2016
Touch2Annotate: Generating better annotations with less human effort on multi-touch interfaces
Y Chen, J Yang, S Barlowe, DH Jeong
CHI'10 Extended Abstracts on Human Factors in Computing Systems, 3703-3708, 2010
WaveMap: Interactively Discovering Features From Protein Flexibility Matrices Using Wavelet‐based Visual Analytics
S Barlowe, Y Liu, J Yang, DR Livesay, DJ Jacobs, J Mottonen, D Verma
Computer Graphics Forum 30 (3), 1001-1010, 2011
How software works: Computational thinking and ethics before CS1
A Scott, S Barlowe
2016 IEEE Frontiers in Education Conference (FIE), 1-9, 2016
O-Charts: Towards an effective toolkit for teaching time complexity
S Barlowe, A Scott
2015 IEEE Frontiers in Education Conference (FIE), 1-4, 2015
A visual analytics approach to exploring protein flexibility subspaces
S Barlowe, J Yang, DJ Jacobs, DR Livesay, J Alsakran, Y Zhao, D Verma, ...
2013 IEEE Pacific Visualization Symposium (PacificVis), 193-200, 2013
A novel framework for integrating mobile machine learning and L2 vocabulary acquisition
J Ginn, CB Salas, S Barlowe, W Lehman
Journal of Computing Sciences in Colleges 36 (5), 47-56, 2021
A Holistic Capstone Experience: Beyond Technical Ability
A Scott, W Kreahling, M Holliday, S Barlowe
Proceedings of the 18th Annual Conference on Information Technology …, 2017
A visual analytics approach to feature discovery and subspace exploration in protein flexibility matrices
SA Barlowe
The University of North Carolina at Charlotte, 2011
Encouraging Global Awareness in a Computer Networking Course
S Barlowe
IEEE Transactions on Education 64 (2), 195-201, 2020
SubVis: an interactive R package for exploring the effects of multiple substitution matrices on pairwise sequence alignment
S Barlowe, HB Coan, RT Youker
PeerJ 5, e3492, 2017
Identifying Risk Factors for Birth Defects in High Dimensional Environmental Health Data
C Zhang, J Yang, FB Zhan, X Gong, JD Brender, P Langlois, S Barlowe
IEEE Conference on Visual Analytics Science Technology (VAST). IEEE, 2013
CateDocs: A New Visual Analytics Approach to Exploring High Dimensional Categorical Datasets
Y Hu, X Huang, C Zhang, Y Wu, J Yang, Y Zhao, S Barlowe, W Chen
VAST, 2013
A dimension management framework for high dimensional visualization
J Yang, S Barlowe
Advances in Information and Intelligent Systems, 267-288, 2009
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