A new machine learning model based on induction of rules for autism detection F Thabtah, D Peebles Health informatics journal 26 (1), 264-286, 2020 | 257 | 2020 |
Effectiveness of immersive virtual reality in surgical training—a randomized control trial Y Pulijala, M Ma, M Pears, D Peebles, A Ayoub Journal of Oral and Maxillofacial Surgery 76 (5), 1065-1072, 2018 | 256 | 2018 |
Modeling the effect of task and graphical representation on response latency in a graph reading task D Peebles, PCH Cheng Human factors 45 (1), 28-46, 2003 | 192 | 2003 |
Early autism screening: a comprehensive review F Thabtah, D Peebles International journal of environmental research and public health 16 (18), 3502, 2019 | 155 | 2019 |
A machine learning autism classification based on logistic regression analysis F Thabtah, N Abdelhamid, D Peebles Health information science and systems 7 (1), 12, 2019 | 135 | 2019 |
An innovative virtual reality training tool for orthognathic surgery Y Pulijala, M Ma, M Pears, D Peebles, A Ayoub International journal of oral and maxillofacial surgery 47 (9), 1199-1205, 2018 | 104 | 2018 |
Modelling performance in the sustained attention to response task D Peebles, D Bothell Sixth International Conference on Cognitive Modeling, 231-236, 2004 | 88 | 2004 |
The effect of gestalt laws of perceptual organization on the comprehension of three-variable bar and line graphs N Ali, D Peebles Human factors 55 (1), 183-203, 2013 | 81 | 2013 |
Sorting preference in children with autism: The dominance of concrete features D Ropar, D Peebles Journal of autism and developmental disorders 37, 270-280, 2007 | 78 | 2007 |
Thirty Years After Marr's Vision: Levels of Analysis in Cognitive Science D Peebles, RP Cooper Topics in cognitive science 7 (2), 187-190, 2015 | 62 | 2015 |
Dementia medical screening using mobile applications: A systematic review with a new mapping model F Thabtah, D Peebles, J Retzler, C Hathurusingha Journal of Biomedical Informatics 111, 103573, 2020 | 45 | 2020 |
Beyond single‐level accounts: The role of cognitive architectures in cognitive scientific explanation RP Cooper, D Peebles Topics in cognitive science 7 (2), 243-258, 2015 | 44 | 2015 |
Expert interpretation of bar and line graphs: The role of graphicacy in reducing the effect of graph format D Peebles, N Ali Frontiers in psychology 6, 1673, 2015 | 36 | 2015 |
Spaces or scenes: Map-based orientation in urban environments C Davies, D Peebles Spatial Cognition & Computation 10 (2-3), 135-156, 2010 | 36 | 2010 |
Isovists for orientation: Can space syntax help us predict directional confusion C Davies, R Mora, D Peebles Proceedings of the space syntax and spatial cognition workshop, spatial …, 2006 | 33 | 2006 |
Effects of geometry, landmarks and orientation strategies in the ‘drop-off’orientation task D Peebles, C Davies, R Mora Spatial Information Theory: 8th International Conference, COSIT 2007 …, 2007 | 32 | 2007 |
Extending task analytic models of graph-based reasoning: A cognitive model of problem solving with Cartesian graphs in ACT-R/PM D Peebles, PCH Cheng Cognitive Systems Research 3 (1), 77-86, 2002 | 32 | 2002 |
The effect of emergent features on judgments of quantity in configural and separable displays. D Peebles Journal of Experimental Psychology: Applied 14 (2), 85, 2008 | 30 | 2008 |
Differences in comprehensibility between three-variable bar and line graphs D Peebles, N Ali Proceedings of the thirty-first annual conference of the cognitive science …, 2009 | 27 | 2009 |
A review of dementia screening tools based on mobile application F Thabtah, D Peebles, J Retzler, C Hathurusingha Health and Technology 10, 1011-1022, 2020 | 25 | 2020 |