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Ross Maciejewski
Ross Maciejewski
Professor of Computer Science and Engineering, Arizona State University
Verified email at asu.edu - Homepage
Title
Cited by
Cited by
Year
Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition
J Chae, D Thom, H Bosch, Y Jang, R Maciejewski, DS Ebert, T Ertl
2012 IEEE conference on visual analytics science and technology (VAST), 143-152, 2012
3492012
Graph convolutional networks: a comprehensive review
S Zhang, H Tong, J Xu, R Maciejewski
Computational Social Networks 6 (1), 1-23, 2019
3352019
An overview of sentiment analysis in social media and its applications in disaster relief
G Beigi, X Hu, R Maciejewski, H Liu
Sentiment analysis and ontology engineering, 313-340, 2016
2072016
Visual analytics law enforcement tools
DS Ebert, T Collins, R Maciejewski, A Malik
US Patent 8,849,728, 2014
1982014
A visual analytics approach to understanding spatiotemporal hotspots
R Maciejewski, S Rudolph, R Hafen, A Abusalah, M Yakout, M Ouzzani, ...
IEEE Transactions on Visualization and Computer Graphics 16 (2), 205-220, 2009
1862009
Visual analytics of mobility and transportation: State of the art and further research directions
G Andrienko, N Andrienko, W Chen, R Maciejewski, Y Zhao
IEEE Transactions on Intelligent Transportation Systems 18 (8), 2232-2249, 2017
1342017
Structuring feature space: A non-parametric method for volumetric transfer function generation
R Maciejewski, I Woo, W Chen, D Ebert
IEEE Transactions on Visualization and Computer Graphics 15 (6), 1473-1480, 2009
1312009
Sky View Factor footprints for urban climate modeling
A Middel, J Lukasczyk, R Maciejewski, M Demuzere, M Roth
Urban climate 25, 120-134, 2018
1182018
Urban form and composition of street canyons: A human-centric big data and deep learning approach
A Middel, J Lukasczyk, S Zakrzewski, M Arnold, R Maciejewski
Landscape and Urban Planning 183, 122-132, 2019
1122019
Visual analytics decision support environment for epidemic modeling and response evaluation
S Afzal, R Maciejewski, DS Ebert
2011 IEEE conference on visual analytics science and technology (VAST), 191-200, 2011
962011
Proactive spatiotemporal resource allocation and predictive visual analytics for community policing and law enforcement
A Malik, R Maciejewski, S Towers, S McCullough, DS Ebert
IEEE transactions on visualization and computer graphics 20 (12), 1863-1872, 2014
952014
Understanding twitter data with tweetxplorer
F Morstatter, S Kumar, H Liu, R Maciejewski
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
942013
Volume estimation using food specific shape templates in mobile image-based dietary assessment
J Chae, I Woo, SY Kim, R Maciejewski, F Zhu, EJ Delp, CJ Boushey, ...
Computational Imaging IX 7873, 157-164, 2011
942011
Forecasting hotspots—a predictive analytics approach
R Maciejewski, R Hafen, S Rudolph, SG Larew, MA Mitchell, ...
IEEE Transactions on Visualization and Computer Graphics 17 (4), 440-453, 2010
942010
Visualizing social media sentiment in disaster scenarios
Y Lu, X Hu, F Wang, S Kumar, H Liu, R Maciejewski
Proceedings of the 24th international conference on world wide web, 1211-1215, 2015
932015
The state‐of‐the‐art in predictive visual analytics
Y Lu, R Garcia, B Hansen, M Gleicher, R Maciejewski
Computer Graphics Forum 36 (3), 539-562, 2017
892017
VAUD: A visual analysis approach for exploring spatio-temporal urban data
W Chen, Z Huang, F Wu, M Zhu, H Guan, R Maciejewski
IEEE transactions on visualization and computer graphics 24 (9), 2636-2648, 2017
872017
Sky view factors from synthetic fisheye photos for thermal comfort routing—a case study in Phoenix, Arizona
A Middel, J Lukasczyk, R Maciejewski
852017
Stakeholder analysis for the food-energy-water nexus in Phoenix, Arizona: Implications for nexus governance
DD White, JL Jones, R Maciejewski, R Aggarwal, G Mascaro
Sustainability 9 (12), 2204, 2017
762017
A pandemic influenza modeling and visualization tool
R Maciejewski, P Livengood, S Rudolph, TF Collins, DS Ebert, ...
Journal of Visual Languages & Computing 22 (4), 268-278, 2011
712011
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