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ORCIDJoseph A. Cottam
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2020 – today
- 2021
[c24]Brett A. Jefferson
, Natalie C. Heller, Joseph A. Cottam, Nhuy Van, George Chin:
The Utility in Conjoint Analysis as a Fast Expert Elicitation Technique. ISI 2021: 1-6- 2020
- [c23]Joseph A. Cottam, Natalie C. Heller, Christopher L. Ebsch, Rahul Deshmukh, Patrick Mackey, George Chin:
Evaluation of Alignment: Precision, Recall, Weighting and Limitations. IEEE BigData 2020: 2513-2519 - [c22]Christopher L. Ebsch, Joseph A. Cottam, Natalie C. Heller, Rahul D. Deshmukh, George Chin:
Using Graph Edit Distance for Noisy Subgraph Matching of Semantic Property Graphs. IEEE BigData 2020: 2520-2525
2010 – 2019
- 2019
- [c21]Mayanka Chandrashekar, Joseph A. Cottam:
Graph Generation with a Focusing Lexicon. IEEE BigData 2019: 4928-4931 - 2018
- [c20]Joseph A. Cottam, Sumit Purohit, Patrick Mackey, George Chin Jr.:
Multi-Channel Large Network Simulation Including Adversarial Activity. IEEE BigData 2018: 3947-3950 - [c19]Joseph A. Cottam, Leslie M. Blaha, Kristin A. Cook, Mark A. Whiting:
Human Machine Interactions: Velocity Considerations. HCI (16) 2018: 43-57 - [p1]Joseph A. Cottam, Leslie M. Blaha:
Bias by Default? Cognitive Biases in Visualizations 2018: 43-58 - 2017
- [c18]Joseph A. Cottam, Leslie M. Blaha, Dimitri Zarzhitsky, Mathew Thomas, Elliott Skomski:
Crossing the Streams: Fuzz testing with user input. IEEE BigData 2017: 4362-4371 - [c17]Joseph A. Cottam, Andrew Lumsdaine:
Declarative Guide Creation. Visualization and Data Analysis 2017: 22-33 - 2016
- [c16]Joseph A. Cottam, Andrew Lumsdaine:
Epoch Persistence: Safe, Efficient, On-demand Rendering for Streaming Data. HICSS 2016: 1730-1739 - [c15]Vetria L. Byrd, Joseph A. Cottam:
Facilitating Visualization Capacity Building. VINCI 2016: 156 - 2015
- [c14]Joseph A. Cottam, Benjamin Martin, Luke Dalessandro, Andrew Lumsdaine:
Pixel-oriented techniques for visualizing next-generation HPC systems. VISSOFT 2015: 160-164 - 2014
- [c13]Joseph A. Cottam, Andrew Lumsdaine, Peter Wang:
Abstract rendering: out-of-core rendering for information visualization. Visualization and Data Analysis 2014: 90170K - 2013
- [c12]Joseph A. Cottam, Andrew Lumsdaine, Peter Wang:
Overplotting: Unified solutions under Abstract Rendering. IEEE BigData 2013: 9-16 - 2012
- [c11]Joseph A. Cottam, Andrew Lumsdaine:
Spatial autocorrelation-based information visualization evaluation. BELIV 2012: 8 - [c10]Joseph A. Cottam, Andrew Lumsdaine, Chris E. Weaver:
Watch this: A taxonomy for dynamic data visualization. IEEE VAST 2012: 193-202 - [c9]Joseph A. Cottam, Suzanne Menzel:
Recursive thinkers and doers in CS1 (abstract only). SIGCSE 2012: 669 - [c8]Joseph A. Cottam, Andrew Lumsdaine:
Efficient, dynamic data visualization with persistent data structures. Visualization and Data Analysis 2012: 82940X - 2011
- [c7]Joseph A. Cottam, Andrew Lumsdaine:
Reasonable abstractions: Semantics for dynamic data visualization. IEEE VAST 2011: 269-270 - [c6]Joseph A. Cottam, Suzanne Menzel, Janet Greenblatt:
Tutoring for retention. SIGCSE 2011: 213-218 - 2010
- [c5]Joseph A. Cottam, Andrew Lumsdaine:
Automatic Application of the Data-State Model in Data-Flow Contexts. IV 2010: 5-10 - [c4]Joseph A. Cottam, Samantha S. Foley, Suzanne Menzel:
Do roadshows work?: examining the effectiveness of just be. SIGCSE 2010: 17-21
2000 – 2009
- 2009
- [c3]Joseph A. Cottam, Andrew Lumsdaine:
Algebraic Guide Generation. IV 2009: 68-73 - 2008
- [c2]Joseph A. Cottam, Andrew Lumsdaine:
Stencil: A Conceptual Model for Representation and Interaction. IV 2008: 51-56 - [c1]Joseph A. Cottam, Joshua Hursey, Andrew Lumsdaine:
Representing unit test data for large scale software development. SOFTVIS 2008: 57-66
Coauthor Index
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