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2020 – today
- 2023
[c13]Taina Lehtimäki
, Rosemary Monahan, Aidan Mooney, Kevin Casey, Thomas J. Naughton:
A Computational Thinking Obstacle Course Based on Bebras Tasks for K-12 Schools. ITiCSE (1) 2023: 478-484- [c12]Taina Lehtimäki, Rosemary Monahan, Aidan Mooney, Kevin Casey, Thomas J. Naughton:
Computational Thinking Resources Inspired by Bebras. ITiCSE (2) 2023: 663 - [i1]Jonathan Lambert, Kevin Casey, Rosemary Monahan:
Repositioning Tiered HotSpot Execution Performance Relative to the Interpreter. CoRR abs/2304.06460 (2023) - 2022
- [j7]Jonathan Lambert, Rosemary Monahan, Kevin Casey:
Accidental Choices - How JVM Choice and Associated Build Tools Affect Interpreter Performance. Comput. 11(6): 96 (2022) - [c11]Taina Lehtimäki, Rosemary Monahan, Aidan Mooney, Kevin Casey, Thomas J. Naughton:
Bebras-inspired Computational Thinking Primary School Resources Co-created by Computer Science Academics and Teachers. ITiCSE (1) 2022: 207-213 - [c10]Taina Lehtimäki, James Hamm, Aidan Mooney, Kevin Casey, Rosemary Monahan, Thomas J. Naughton:
A computational thinking module for secondary students and pre-service teachers using Bebras-style tasks. UKICER 2022: 19:1 - 2020
- [j6]Ray Walshe, Kevin Casey, Jane Kernan, Donal Fitzpatrick:
AI and Big Data Standardization: Contributing to United Nations Sustainable Development Goals. J. ICT Stand. 8(2): 77-106 (2020) - [c9]Natalie Culligan, Kevin Casey:
What the Mouse Said: How Mouse Movements Can Relate to Student Stress and Success. PPIG 2020 - [c8]Natalie Culligan, Kevin Casey:
Exploring the Coding Behaviour of Successful Students in Programming by Employing Neo-Piagetian Theory. PPIG 2020
2010 – 2019
- 2017
- [j5]Kevin Casey:
Using Keystroke Analytics to Improve Pass-Fail Classifiers. J. Learn. Anal. 4(2) (2017) - 2013
- [c7]Servesh Muralidharan, Kevin Casey, David Gregg:
A Parallel Runtime Framework for Communication Intensive Stream Applications. TrustCom/ISPA/IUCC 2013: 1179-1187
2000 – 2009
- 2008
- [j4]Yunhe Shi, Kevin Casey, M. Anton Ertl, David Gregg:
Virtual machine showdown: Stack versus registers. ACM Trans. Archit. Code Optim. 4(4): 2:1-2:36 (2008) - 2007
- [j3]Kevin Casey, M. Anton Ertl, David Gregg:
Optimizing indirect branch prediction accuracy in virtual machine interpreters. ACM Trans. Program. Lang. Syst. 29(6): 37 (2007) - [c6]Alberto Casagrande, Kevin Casey, Rachele Falchi, Carla Piazza, Benedetto Ruperti, Giannina Vizzotto, Bud Mishra:
Translating Time-Course Gene Expression Profiles into Semi-algebraic Hybrid Automata Via Dimensionality Reduction. AB 2007: 51-65 - 2006
- [b1]Kevin Casey:
Automatic generation of optimised virtual machine interpreters. Trinity College Dublin, Ireland, 2006 - [c5]M. Anton Ertl, Kevin Casey, David Gregg:
Fast and flexible instruction selection with on-demand tree-parsing automata. PLDI 2006: 52-60 - 2005
- [j2]David Gregg, Andrew Beatty, Kevin Casey, Brian Davis, Andy Nisbet:
The case for virtual register machines. Sci. Comput. Program. 57(3): 319-338 (2005) - [c4]Kevin Casey, David Gregg, M. Anton Ertl:
Tiger - An Interpreter Generation Tool. CC 2005: 246-249 - 2003
- [c3]Brian Davis, Andrew Beatty, Kevin Casey, David Gregg, John Waldron:
The case for virtual register machines. IVME 2003: 41-49 - [c2]Andrew Beatty, Kevin Casey, David Gregg, Andrew Nisbet:
An Optimized Java Interpreter for Connected Devices and Embedded Systems. SAC 2003: 692-697 - [c1]Kevin Casey, David Gregg, M. Anton Ertl, Andrew Nisbet:
Towards Superinstructions for Java Interpreters. SCOPES 2003: 329-343 - 2000
- [j1]Kevin Casey:
Towards a Lifelong Learning Culture in Canada. J. Educ. Technol. Soc. 3(1) (2000)
Coauthor Index
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