Anthony V. Robins

Publication Activity (10 Years)

Years Active: 1991-2023
Publications (10 Years): 23

Top Topics

Medical Image Segmentation

Hopfield Networks

Special Session

Top Venues

ACM Trans. Comput. Educ.

ACM SIGCSE Bull.

Publications

Bhagya Munasinghe, Timothy C. Bell, Anthony V. Robins
Computational Thinking and Notional Machines: The Missing Link. ACM Trans. Comput. Educ. 23 (4) (2023)
Chamindi K. Samarasekara, Claudia Ott, Anthony V. Robins
Future Scenarios for High School Digital Technology in New Zealand. ACE (2023)
Chamindi K. Samarasekara, Claudia Ott, Anthony V. Robins
Teachers' Views on the Implementation of a New High School Computing Curriculum. Koli Calling (2022)
Anthony V. Robins
Dual Process Theories: Computing Cognition in Context. ACM Trans. Comput. Educ. 22 (4) (2022)
Chamindi K. Samarasekara, Claudia Ott, Anthony V. Robins
Barriers to New Zealand High School CS Education - Learners' Perspectives. SIGCSE (1) (2022)
Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting. Neurocomputing 428 (2021)
Chamindi K. Samarasekara, Claudia Ott, Anthony V. Robins
Students' Perspectives on High School CS Education in NZ. ITiCSE (Working Group Reports) (2021)
Bhagya Munasinghe, Tim Bell, Anthony V. Robins
Teachers' understanding of technical terms in a Computational Thinking curriculum. ACE (2021)
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)
Adon Moskal, Anthony V. Robins, Renée McCauley, Amy J. Ko
ICER 2020 conference preview. ACM SIGCSE Bull. 52 (1) (2020)
Adon Moskal, Anthony V. Robins, Amy J. Ko, Renée A. McCauley
ICER 2020 retrospective. ACM SIGCSE Bull. 52 (4) (2020)
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)
Adon Moskal, Anthony V. Robins, Renée A. McCauley, Amy J. Ko
ICER 2020 preview. ACM SIGCSE Bull. 52 (2) (2020)
Chris Gorman, Lech Szymanski, Anthony V. Robins, Alistair Knott
A Convolutional Self-organizing Map for Visual Category Learning. CogSci (2019)
Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal. CoRR (2019)
Robert McCartney, Anthony V. Robins
Special Session: The Best Papers from the First Five ICERs. ICER (2019)
Robert McCartney, Andrew Petersen, Anthony V. Robins, Adon Moskal
ICER 2019 preview. ACM SIGCSE Bull. 51 (2) (2019)
Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting. CoRR (2018)
Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks. CoRR (2018)
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 (2017)
Brendan McCane, Claudia Ott, Nick Meek, Anthony V. Robins
Mastery Learning in Introductory Programming. ACE (2017)
Russel Mesbah, Brendan McCane, Steven Mills, Anthony V. Robins
Improving Spatial Context in CNNs for Semantic Medical Image Segmentation. ACPR (2017)
Claudia Ott, Anthony V. Robins, Kerry Shephard
Translating Principles of Effective Feedback for Students into the CS1 Context. ACM Trans. Comput. Educ. 16 (1) (2016)
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) (2015)
Anthony V. Robins
The ongoing challenges of computer science education research. Comput. Sci. Educ. 25 (2) (2015)
Claudia Ott, Anthony V. Robins, Kerry Shephard
An infographic to support students' self-regulated learning. Koli Calling (2014)
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) (2014)
Janet Rountree, Anthony V. Robins, Nathan Rountree
Elaborating on threshold concepts. Comput. Sci. Educ. 23 (3) (2013)
David Thompson, Tim Bell, Peter Andreae, Anthony V. Robins
The role of teachers in implementing curriculum changes. SIGCSE (2013)
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)
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)
Tim Bell, Peter Andreae, Anthony V. Robins
Computer science in NZ high schools: the first year of the new standards. SIGCSE (2012)
Sally Fincher, Josh D. Tenenberg, Anthony V. Robins
Research design: necessary bricolage. ICER (2011)
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)
Anthony V. Robins
Learning edge momentum: a new account of outcomes in CS1. Comput. Sci. Educ. 20 (1) (2010)
Roger Bartlett, Peter Lamb, Anthony V. Robins
Use of Self Organizing Maps in Technique Analysis. Computer Science in Sport - Mission and Methods (2008)
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)
Hayden Walles, Alistair Knott, Anthony V. Robins
A model of cardinality blindness in inferotemporal cortex. Biol. Cybern. 98 (5) (2008)
Janet Rountree, Nathan Rountree, Anthony V. Robins, Robert Hannah
Observations of Student Competency in a CS1 Course. ACE (2005)
Sally Fincher, Raymond Lister, Tony Clear, Anthony V. Robins, Josh D. Tenenberg, Marian Petre
Multi-institutional, multi-national studies in CSEd Research: some design considerations and trade-offs. ICER (2005)
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)
Anthony V. Robins
Sequential learning in neural networks: A review and a discussion of pseudorehearsal based methods. Intell. Data Anal. 8 (3) (2004)
Anthony V. Robins, Simon McCallum
A robust method for distinguishing between learned and spurious attractors. Neural Networks 17 (3) (2004)
Nathan Rountree, Janet Rountree, Anthony V. Robins, Robert Hannah
Interacting factors that predict success and failure in a CS1 course. ITiCSE-WGR (2004)
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) (2004)
Anthony V. Robins, Janet Rountree, Nathan Rountree
Learning and Teaching Programming: A Review and Discussion. Comput. Sci. Educ. 13 (2) (2003)
Nathan Rountree, Janet Rountree, Anthony V. Robins
Predictors of success and failure in a CS1 course. ACM SIGCSE Bull. 34 (4) (2002)
Simon McCallum, Anthony V. Robins
Mechanisms for Memory Consolidation. New Zealand Computer Science Research Students' Conference (1999)
Anthony V. Robins, Simon McCallum
The consolidation of learning during sleep: comparing the pseudorehearsal and unlearning accounts. Neural Networks 12 (7-8) (1999)
Anthony V. Robins, Simon McCallum
Catastrophic Forgetting and the Pseudorehearsal Solution in Hopfield-type Networks. Connect. Sci. 10 (2) (1998)
Anthony V. Robins, Marcus R. Frean
Local Learning Algorithms for Sequential Tasks in Neural Networks. J. Adv. Comput. Intell. Intell. Informatics 2 (6) (1998)
M. B. Mundy, Anthony V. Robins, D. Bilkey
Distance as a Location Parameter in a Model of Hippocampal Place Fields. ICONIP (1) (1997)
Anthony V. Robins, Marcus R. Frean
Learning and Generalisation in a Stable Network. ICONIP (1) (1997)
Anthony V. Robins
Consolidation in Neural Networks and in the Sleeping Brain. Connect. Sci. 8 (2) (1996)
Anthony V. Robins
Transfer in Cognition. Connect. Sci. 8 (2) (1996)
Anthony V. Robins
Catastrophic Forgetting, Rehearsal and Pseudorehearsal. Connect. Sci. 7 (2) (1995)
Anthony V. Robins
Neural networks and models of cognition: a review. ANNES (1993)
Anthony V. Robins
Catastrophic forgetting in neural networks: the role of rehearsal mechanisms. ANNES (1993)
Anthony V. Robins
Multiple Representations in Connectionist Systems. Int. J. Neural Syst. 2 (4) (1991)