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2020 – today
- 2024
[j4]Shuqi Liao
, Vetria L. Byrd, Voicu Popescu:
PreVR: Variable-Distance Previews for Higher-Order Disocclusion in VR. IEEE Trans. Vis. Comput. Graph. 30(5): 2454-2463 (2024)- 2023
- [c15]Vetria L. Byrd, Dharmendra Saraswat, Aanis Ahmad:
Pilot Course in Data Visualization with a Multidisciplinary Approach: Technology+Agricultural Engineering. FIE 2023: 1-9 - [c14]Isha Ashish Mahadalkar, Vetria L. Byrd:
Data Visualization Capacity (DVC) Building Tool for Teaching and Learning Data Visualization. FIE 2023: 1-5 - 2022
- [j3]Jorge D. Camba, Pedro Company, Vetria L. Byrd, Beatriz Sousa Santos, Ginger Alford:
Identifying Deception as a Critical Component of Visualization Literacy. IEEE Computer Graphics and Applications 42(1): 116-122 (2022) - [c13]Andrea Vázquez-Ingelmo, Francisco José García-Peñalvo, Roberto Therón, Vetria L. Byrd, Jorge D. Camba:
A proposal to measure the understanding of data visualization elements in visual analytics applications (Short paper). LASI-SPAIN 2022: 70-76 - 2021
- [j2]Vetria L. Byrd, Nicole Dwenger:
Activity Worksheets for Teaching and Learning Data Visualization. IEEE Computer Graphics and Applications 41(6): 25-36 (2021) - [c12]Vetria L. Byrd:
Zoom Experiences in Higher Education: helping college students build data visualization capacity remotely. FIE 2021: 1-8 - [c11]Vetria L. Byrd:
Design Activity Worksheet: Identifying Data Sources for Developing a Research Plan. FIE 2021: 1-7 - 2020
- [c10]Vetria L. Byrd, Paul A. Asunda:
Using Evidence Based Practices and Learning to Enhance Critical Thinking Skills in Students Through Data Visualization. FIE 2020: 1-9 - [c9]Vetria L. Byrd, Jorge D. Camba:
A Worksheet Method for Developing Research Questions: An Examination of Three Graduate Student Cohorts. FIE 2020: 1-7 - [c8]Nathan R. Kanter, Vetria L. Byrd:
A Method for Transforming a Broad Topic to a Focused Topic for Developing Research Questions. FIE 2020: 1-7 - [c7]Devun Pecher, Zongchen Chu, Vetria L. Byrd:
Developing Research Questions: A method for transforming a question into a problem statement. FIE 2020: 1-8 - [c6]Allen Zheng, Vetria L. Byrd:
Students' Perception of a Method for Identifying Topics for Research Questions. FIE 2020: 1-8
2010 – 2019
- 2019
- [c5]Vetria L. Byrd:
Facilitating Deep Learning Through Vertical Integration Between Data Visualization Courses Within an Undergraduate Data Visualization Curriculum. HCI (35) 2019: 193-201 - [c4]Pradeep Periasamy, Vetria L. Byrd:
Generative Adversarial Networks for Lupus Diagnostics. PEARC 2019: 104:1-104:8 - 2018
- [j1]Camilo Vieira, Paul Parsons, Vetria L. Byrd:
Visual learning analytics of educational data: A systematic literature review and research agenda. Comput. Educ. 122: 119-135 (2018) - 2017
- [c3]Esteban García Bravo, Andrés E. Burbano Valdes, Vetria L. Byrd, Angus G. Forbes:
The interactive image: a media archaeology approach. SIGGRAPH Art Gallery 2017: 368-375 - 2016
- [c2]Vetria L. Byrd, Joseph A. Cottam:
Facilitating Visualization Capacity Building. VINCI 2016: 156
2000 – 2009
- 2006
- [c1]Vetria L. Byrd, Tarynn Witten:
Needs Assessment for Scientific Visualization of Multivariate, High-Dimensional Microarray Data. BIOCOMP 2006: 103-109
Coauthor Index
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