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Anthony V. Robins
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- affiliation: University of Otago, Department of Computer Science
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2020 – today
- 2023
- [j29]Bhagya Munasinghe
, Timothy C. Bell
, Anthony V. Robins
:
Computational Thinking and Notional Machines: The Missing Link. ACM Trans. Comput. Educ. 23(4): 44:1-44:27 (2023) - [c26]Chamindi K. Samarasekara
, Claudia Ott
, Anthony V. Robins
:
Future Scenarios for High School Digital Technology in New Zealand. ACE 2023: 21-30 - 2022
- [j28]Anthony V. Robins
:
Dual Process Theories: Computing Cognition in Context. ACM Trans. Comput. Educ. 22(4): 41:1-41:31 (2022) - [c25]Chamindi K. Samarasekara
, Claudia Ott
, Anthony V. Robins
:
Teachers' Views on the Implementation of a New High School Computing Curriculum. Koli Calling 2022: 7:1-7:10 - [c24]Chamindi K. Samarasekara, Claudia Ott, Anthony V. Robins:
Barriers to New Zealand High School CS Education - Learners' Perspectives. SIGCSE (1) 2022: 927-933 - 2021
- [j27]Craig Atkinson, Brendan McCane
, Lech Szymanski, Anthony V. Robins:
Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting. Neurocomputing 428: 291-307 (2021) - [c23]Bhagya Munasinghe
, Tim Bell, Anthony V. Robins:
Teachers' understanding of technical terms in a Computational Thinking curriculum. ACE 2021: 106-114 - [c22]Chamindi K. Samarasekara, Claudia Ott, Anthony V. Robins:
Students' Perspectives on High School CS Education in NZ. ITiCSE (2) 2021: 646 - [c21]Chamindi K. Samarasekara, Claudia Ott, Anthony V. Robins:
A Decade of CS Education in New Zealand's High Schools: Where Are We At? WiPSCE 2021: 11:1-11:10 - 2020
- [j26]Adon Moskal, Anthony V. Robins, Renée McCauley, Amy J. Ko:
ICER 2020 conference preview. ACM SIGCSE Bull. 52(1): 9-10 (2020) - [j25]Adon Moskal, Anthony V. Robins, Renée A. McCauley, Amy J. Ko:
ICER 2020 preview. ACM SIGCSE Bull. 52(2): 10 (2020) - [j24]Adon Moskal, Anthony V. Robins, Amy J. Ko, Renée A. McCauley:
ICER 2020 retrospective. ACM SIGCSE Bull. 52(4): 7-8 (2020) - [c20]Colleen M. Lewis, Tim Bell, Paulo Blikstein, Adam S. Carter, Katrina Falkner, Sally A. Fincher, Kathi Fisler, Mark Guzdial, Patricia Haden, Sepehr Hejazi Moghadam, Michael S. Horn, Christopher D. Hundhausen, Amy J. Ko, Thomas Lancaster, Michael C. Loui, Lauren E. Margulieux, Leo Porter, Anthony V. Robins, Jean J. Ryoo, Niral Shah, R. Benjamin Shapiro, Kerry Shephard, Beth Simon, Mike Tissenbaum, Ian Utting, Jan Vahrenhold, Aman Yadav:
The Cambridge Handbook of Computing Education Research Summarized in 75 minutes. SIGCSE 2020: 323-324 - [e2]Anthony V. Robins, Adon Moskal, Amy J. Ko, Renée McCauley:
ICER 2020: International Computing Education Research Conference, Virtual Event, New Zealand, August 10-12, 2020. ACM 2020, ISBN 978-1-4503-7092-9 [contents]
2010 – 2019
- 2019
- [j23]Robert McCartney, Andrew Petersen, Anthony V. Robins, Adon Moskal:
ICER 2019 preview. ACM SIGCSE Bull. 51(2): 7 (2019) - [c19]Chris Gorman, Lech Szymanski, Anthony V. Robins, Alistair Knott:
A Convolutional Self-organizing Map for Visual Category Learning. CogSci 2019: 3275 - [c18]Robert McCartney, Anthony V. Robins:
Special Session: The Best Papers from the First Five ICERs. ICER 2019: 141-146 - [e1]Robert McCartney, Andrew Petersen, Anthony V. Robins, Adon Moskal:
Proceedings of the 2019 ACM Conference on International Computing Education Research, ICER 2019, Toronto, ON, Canada, August 12-14, 2019. ACM 2019, ISBN 978-1-4503-6185-9 [contents] - [i4]Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins:
GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal. CoRR abs/1911.11988 (2019) - 2018
- [i3]Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins:
Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks. CoRR abs/1802.03875 (2018) - [i2]Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins:
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting. CoRR abs/1812.02464 (2018) - 2017
- [j22]Chris Gorman
, Anthony V. Robins, Alistair Knott
:
Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors. Neural Networks 91: 76-84 (2017) - [c17]Brendan McCane
, Claudia Ott, Nick Meek, Anthony V. Robins:
Mastery Learning in Introductory Programming. ACE 2017: 1-10 - [c16]Russel Mesbah, Brendan McCane
, Steven Mills
, Anthony V. Robins:
Improving Spatial Context in CNNs for Semantic Medical Image Segmentation. ACPR 2017: 25-30 - 2016
- [j21]Claudia Ott, Anthony V. Robins, Kerry Shephard:
Translating Principles of Effective Feedback for Students into the CS1 Context. ACM Trans. Comput. Educ. 16(1): 1:1-1:27 (2016) - 2015
- [j20]Anthony V. Robins:
The ongoing challenges of computer science education research. Comput. Sci. Educ. 25(2): 115-119 (2015) - [j19]Claudia Ott, Anthony V. Robins, Patricia Haden, Kerry Shephard:
Illustrating performance indicators and course characteristics to support students' self-regulated learning in CS1. Comput. Sci. Educ. 25(2): 174-198 (2015) - 2014
- [j18]Tim Bell, Peter Andreae, Anthony V. Robins:
A Case Study of the Introduction of Computer Science in NZ Schools. ACM Trans. Comput. Educ. 14(2): 10:1-10:31 (2014) - [c15]Claudia Ott, Anthony V. Robins, Kerry Shephard:
An infographic to support students' self-regulated learning. Koli Calling 2014: 177-178 - 2013
- [j17]Janet Rountree, Anthony V. Robins, Nathan Rountree:
Elaborating on threshold concepts. Comput. Sci. Educ. 23(3): 265-289 (2013) - [c14]Hayden Walles, Anthony V. Robins, Alistair Knott
:
A Neural Network Model of Visual Attention and Group Classification, and Its Performance in a Visual Search Task. Australasian Conference on Artificial Intelligence 2013: 98-103 - [c13]David Thompson
, Tim Bell, Peter Andreae, Anthony V. Robins:
The role of teachers in implementing curriculum changes. SIGCSE 2013: 245-250 - 2012
- [c12]Tim Bell, Peter Andreae, Anthony V. Robins:
Computer science in NZ high schools: the first year of the new standards. SIGCSE 2012: 343-348 - [c11]Tim Bell, Heidi Newton, Peter Andreae, Anthony V. Robins:
The introduction of computer science to NZ high schools: an analysis of student work. WiPSCE 2012: 5-15 - 2011
- [c10]Sally Fincher, Josh Tenenberg
, Anthony V. Robins:
Research design: necessary bricolage. ICER 2011: 27-32 - 2010
- [j16]Anthony V. Robins:
Learning edge momentum: a new account of outcomes in CS1. Comput. Sci. Educ. 20(1): 37-71 (2010) - [j15]Peter Lamb, Roger Bartlett, Anthony V. Robins:
Self-Organising Maps: An Objective Method for Clustering Complex Human Movement. Int. J. Comput. Sci. Sport 9(1) (2010)
2000 – 2009
- 2008
- [j14]Hayden Walles, Alistair Knott
, Anthony V. Robins:
A model of cardinality blindness in inferotemporal cortex. Biol. Cybern. 98(5): 427-437 (2008) - [j13]Peter Lamb, Roger Bartlett, Anthony V. Robins, Gavin Kennedy:
Self-Organizing Maps as a Tool to Analyze Movement Variability. Int. J. Comput. Sci. Sport 7(1) (2008) - [i1]Roger Bartlett, Peter Lamb, Anthony V. Robins:
Use of Self Organizing Maps in Technique Analysis. Computer Science in Sport - Mission and Methods 2008 - 2005
- [c9]Janet Rountree, Nathan Rountree, Anthony V. Robins, Robert Hannah:
Observations of Student Competency in a CS1 Course. ACE 2005: 145-149 - [c8]Sandy Garner, Patricia Haden, Anthony V. Robins:
My Program is Correct But it Doesn t Run: A Preliminary Investigation of Novice Programmers Problems. ACE 2005: 173-180 - [c7]Sally Fincher, Raymond Lister, Tony Clear
, Anthony V. Robins, Josh Tenenberg, Marian Petre:
Multi-institutional, multi-national studies in CSEd Research: some design considerations and trade-offs. ICER 2005: 111-121 - 2004
- [j12]Anthony V. Robins:
Sequential learning in neural networks: A review and a discussion of pseudorehearsal based methods. Intell. Data Anal. 8(3): 301-322 (2004) - [j11]Anthony V. Robins, Simon McCallum
:
A robust method for distinguishing between learned and spurious attractors. Neural Networks 17(3): 313-326 (2004) - [j10]Nathan Rountree, Janet Rountree, Anthony V. Robins, Robert Hannah:
Interacting factors that predict success and failure in a CS1 course. ACM SIGCSE Bull. 36(4): 101-104 (2004) - [c6]Nathan Rountree, Janet Rountree, Anthony V. Robins, Robert Hannah:
Interacting factors that predict success and failure in a CS1 course. ITiCSE-WGR 2004: 101-104 - 2003
- [j9]Anthony V. Robins, Janet Rountree, Nathan Rountree:
Learning and Teaching Programming: A Review and Discussion. Comput. Sci. Educ. 13(2): 137-172 (2003) - 2002
- [j8]Nathan Rountree, Janet Rountree, Anthony V. Robins:
Predictors of success and failure in a CS1 course. ACM SIGCSE Bull. 34(4): 121-124 (2002)
1990 – 1999
- 1999
- [j7]Anthony V. Robins, Simon McCallum
:
The consolidation of learning during sleep: comparing the pseudorehearsal and unlearning accounts. Neural Networks 12(7-8): 1191-1206 (1999) - [c5]Simon McCallum, Anthony V. Robins:
Mechanisms for Memory Consolidation. New Zealand Computer Science Research Students' Conference 1999: 30-37 - 1998
- [j6]Anthony V. Robins, Simon McCallum
:
Catastrophic Forgetting and the Pseudorehearsal Solution in Hopfield-type Networks. Connect. Sci. 10(2): 121-135 (1998) - [j5]Anthony V. Robins, Marcus R. Frean:
Local Learning Algorithms for Sequential Tasks in Neural Networks. J. Adv. Comput. Intell. Intell. Informatics 2(6): 221-227 (1998) - [p1]Anthony V. Robins:
Transfer in Cognition. Learning to Learn 1998: 45-67 - 1997
- [c4]M. B. Mundy, Anthony V. Robins, D. Bilkey:
Distance as a Location Parameter in a Model of Hippocampal Place Fields. ICONIP (1) 1997: 71-75 - [c3]Anthony V. Robins, Marcus R. Frean:
Learning and Generalisation in a Stable Network. ICONIP (1) 1997: 314-317 - 1996
- [j4]Anthony V. Robins:
Transfer in Cognition. Connect. Sci. 8(2): 185-204 (1996) - [j3]Anthony V. Robins:
Consolidation in Neural Networks and in the Sleeping Brain. Connect. Sci. 8(2): 259-276 (1996) - 1995
- [j2]Anthony V. Robins:
Catastrophic Forgetting, Rehearsal and Pseudorehearsal. Connect. Sci. 7(2): 123-146 (1995) - 1993
- [c2]Anthony V. Robins:
Neural networks and models of cognition: a review. ANNES 1993: 63-64 - [c1]Anthony V. Robins:
Catastrophic forgetting in neural networks: the role of rehearsal mechanisms. ANNES 1993: 65-68 - 1991
- [j1]Anthony V. Robins:
Multiple Representations in Connectionist Systems. Int. J. Neural Syst. 2(4): 345-362 (1991)
Coauthor Index
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