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2020 – today
- 2020
[c6]Nicole Cruz, Brett K. Hayes, John Dunn, Rachel Stephens:
What remains of "belief bias" once we generalise logic to probabilities? CogSci 2020
2010 – 2019
- 2018
- [j3]Lucia Falzon, Eric Quintane
, John Dunn, Garry Robins:
Embedding time in positions: Temporal measures of centrality for social network analysis. Soc. Networks 54: 168-178 (2018) - [c5]Kwan Hui Lim, Sachini Jayasekara, Shanika Karunasekera, Aaron Harwood, Lucia Falzon, John Dunn, Glenn Burgess:
RAPID: Real-time Analytics Platform for Interactive Data Mining. ECML/PKDD (3) 2018: 649-653 - 2017
- [c4]Lucia Falzon, Caitlin McCurrie, John Dunn:
Representation and Analysis of Twitter Activity: A Dynamic Network Perspective. ASONAM 2017: 1183-1190 - [c3]Matthew Kaesler, John Dunn, Carolyn Semmler:
Using Measurement Models to Understand Eyewitness Identification. CogSci 2017 - [c2]Rachel Stephens, John Dunn, Brett K. Hayes:
A Two-Step Signal Detection Model of Belief Bias. CogSci 2017 - 2015
- [j2]Ellyn Marder, Katie Garman, Timothy F. Jones, John Dunn, Stephen Jones:
Assessment of administrative claims data for public health reporting of Salmonella in Tennessee. J. Am. Medical Informatics Assoc. 22(e1): e34-e38 (2015)
2000 – 2009
- 2003
- [c1]Kim Kirsner, John Dunn, Kathryn Hird:
Fluency: Time for a Paradigm Shift. DiSS 2003: 13-16
1990 – 1999
- 1995
- [j1]Walter Smith, John Dunn, Kim Kirsner, Mark Randell:
Colour in Map Displays: Issues for Task-Specific Display Design. Interact. Comput. 7(2): 151-165 (1995)
Coauthor Index
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