Anthony V. Robins

72 papers A 8B 1C 5Journal 42Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Classifying States of the Hopfield Network with Improved Accuracy, Generalization, and Interpretability. CoRR Hayden McAlister, Anthony V. Robins, Lech Szymanski
2025	J	`jnl`	Sequential Learning in the Dense Associative Memory. Neural Comput. Hayden McAlister, Anthony V. Robins, Lech Szymanski
2024	J	`jnl`	A framework identifying challenges & solutions for high school computing. Educ. Inf. Technol. Chamindi K. Samarasekara, Claudia Ott, Anthony V. Robins
2024	J	`jnl`	Improved Robustness and Hyperparameter Selection in Modern Hopfield Networks. CoRR Hayden McAlister, Anthony V. Robins, Lech Szymanski
2024	J	`jnl`	Modelling Supra-Classical Logic in a Boltzmann Neural Network: II Incongruence. J. Log. Comput. Glenn Blanchette, Anthony V. Robins
2024	J	`jnl`	Modelling supra-classical logic in a Boltzmann neural network: III adaptation. J. Log. Comput. Glenn Blanchette, Anthony V. Robins
2024	J	`jnl`	Prototype Analysis in Hopfield Networks With Hebbian Learning. Neural Comput. Hayden McAlister, Anthony V. Robins, Lech Szymanski
2024	J	`jnl`	Prototype Analysis in Hopfield Networks with Hebbian Learning. CoRR Hayden McAlister, Anthony V. Robins, Lech Szymanski
2024	J	`jnl`	Sequential Learning in the Dense Associative Memory. CoRR Hayden McAlister, Anthony V. Robins, Lech Szymanski
2023	J	`jnl`	Computational Thinking and Notional Machines: The Missing Link. ACM Trans. Comput. Educ. Bhagya Munasinghe, Timothy C. Bell, Anthony V. Robins
2023	C	`conf`	Future Scenarios for High School Digital Technology in New Zealand. ACE Chamindi K. Samarasekara, Claudia Ott, Anthony V. Robins
2022	—	`conf`	Barriers to New Zealand High School CS Education - Learners' Perspectives. SIGCSE (1) Chamindi K. Samarasekara, Claudia Ott, Anthony V. Robins
2022	J	`jnl`	Dual Process Theories: Computing Cognition in Context. ACM Trans. Comput. Educ. Anthony V. Robins
2022	—	`conf`	Teachers' Views on the Implementation of a New High School Computing Curriculum. Koli Calling Chamindi K. Samarasekara, Claudia Ott, Anthony V. Robins
2021	—	`conf`	A Decade of CS Education in New Zealand's High Schools: Where Are We At? WiPSCE Chamindi K. Samarasekara, Claudia Ott, Anthony V. Robins
2021	J	`jnl`	Modelling supra-classical logic in a Boltzmann neural network: I representation. J. Log. Comput. Glenn Blanchette, Anthony V. Robins, Willem Labuschagne
2021	J	`jnl`	Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting. Neurocomputing Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
2021	—	`conf`	Students' Perspectives on High School CS Education in NZ. ITiCSE (2) Chamindi K. Samarasekara, Claudia Ott, Anthony V. Robins
2021	C	`conf`	Teachers' understanding of technical terms in a Computational Thinking curriculum. ACE Bhagya Munasinghe, Tim Bell, Anthony V. Robins
2020	J	`jnl`	ICER 2020 conference preview. ACM SIGCSE Bull. Adon Moskal, Anthony V. Robins, Renée McCauley, Amy J. Ko
2020	J	`jnl`	ICER 2020 preview. ACM SIGCSE Bull. Adon Moskal, Anthony V. Robins, Renée A. McCauley, Amy J. Ko
2020	J	`jnl`	ICER 2020 retrospective. ACM SIGCSE Bull. Adon Moskal, Anthony V. Robins, Amy J. Ko, Renée A. McCauley
2020	A	`ed.`	ICER 2020: International Computing Education Research Conference, Virtual Event, New Zealand, August 10-12, 2020 ICER Anthony V. Robins, Adon Moskal, Amy J. Ko, Renée McCauley
2020	A	`conf`	The Cambridge Handbook of Computing Education Research Summarized in 75 minutes. SIGCSE 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
2019	B	`conf`	A Convolutional Self-organizing Map for Visual Category Learning. CogSci Chris Gorman, Lech Szymanski, Anthony V. Robins, Alistair Knott
2019	J	`jnl`	GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal. CoRR Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
2019	J	`jnl`	ICER 2019 preview. ACM SIGCSE Bull. Robert McCartney, Andrew Petersen, Anthony V. Robins, Adon Moskal
2019	A	`ed.`	Proceedings of the 2019 ACM Conference on International Computing Education Research, ICER 2019, Toronto, ON, Canada, August 12-14, 2019 ICER Robert McCartney, Andrew Petersen, Anthony V. Robins, Adon Moskal
2019	A	`conf`	Special Session: The Best Papers from the First Five ICERs. ICER Robert McCartney, Anthony V. Robins
2018	J	`jnl`	Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks. CoRR Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
2018	J	`jnl`	Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting. CoRR Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
2017	J	`jnl`	Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors. Neural Networks Chris Gorman, Anthony V. Robins, Alistair Knott
2017	—	`conf`	Improving Spatial Context in CNNs for Semantic Medical Image Segmentation. ACPR Russel Mesbah, Brendan McCane, Steven Mills, Anthony V. Robins
2017	C	`conf`	Mastery Learning in Introductory Programming. ACE Brendan McCane, Claudia Ott, Nick Meek, Anthony V. Robins
2016	J	`jnl`	Translating Principles of Effective Feedback for Students into the CS1 Context. ACM Trans. Comput. Educ. Claudia Ott, Anthony V. Robins, Kerry Shephard
2015	J	`jnl`	Illustrating performance indicators and course characteristics to support students' self-regulated learning in CS1. Comput. Sci. Educ. Claudia Ott, Anthony V. Robins, Patricia Haden, Kerry Shephard
2015	J	`jnl`	The ongoing challenges of computer science education research. Comput. Sci. Educ. Anthony V. Robins
2014	J	`jnl`	A Case Study of the Introduction of Computer Science in NZ Schools. ACM Trans. Comput. Educ. Tim Bell, Peter Andreae, Anthony V. Robins
2014	—	`conf`	An infographic to support students' self-regulated learning. Koli Calling Claudia Ott, Anthony V. Robins, Kerry Shephard
2013	—	`conf`	A Neural Network Model of Visual Attention and Group Classification, and Its Performance in a Visual Search Task. Australasian Conference on Artificial Intelligence Hayden Walles, Anthony V. Robins, Alistair Knott
2013	J	`jnl`	Elaborating on threshold concepts. Comput. Sci. Educ. Janet Rountree, Anthony V. Robins, Nathan Rountree
2013	A	`conf`	The role of teachers in implementing curriculum changes. SIGCSE David Thompson, Tim Bell, Peter Andreae, Anthony V. Robins
2012	A	`conf`	Computer science in NZ high schools: the first year of the new standards. SIGCSE Tim Bell, Peter Andreae, Anthony V. Robins
2012	—	`conf`	The introduction of computer science to NZ high schools: an analysis of student work. WiPSCE Tim Bell, Heidi Newton, Peter Andreae, Anthony V. Robins
2011	A	`conf`	Research design: necessary bricolage. ICER Sally Fincher, Josh Tenenberg, Anthony V. Robins
2010	J	`jnl`	Learning edge momentum: a new account of outcomes in CS1. Comput. Sci. Educ. Anthony V. Robins
2010	J	`jnl`	Self-Organising Maps: An Objective Method for Clustering Complex Human Movement. Int. J. Comput. Sci. Sport Peter Lamb, Roger Bartlett, Anthony V. Robins
2008	J	`jnl`	A model of cardinality blindness in inferotemporal cortex. Biol. Cybern. Hayden Walles, Alistair Knott, Anthony V. Robins
2008	J	`jnl`	Self-Organizing Maps as a Tool to Analyze Movement Variability. Int. J. Comput. Sci. Sport Peter Lamb, Roger Bartlett, Anthony V. Robins, Gavin Kennedy
2008	—	`conf`	Use of Self Organizing Maps in Technique Analysis. Computer Science in Sport - Mission and Methods Roger Bartlett, Peter Lamb, Anthony V. Robins
2005	A	`conf`	Multi-institutional, multi-national studies in CSEd Research: some design considerations and trade-offs. ICER Sally Fincher, Raymond Lister, Tony Clear, Anthony V. Robins, Josh Tenenberg, Marian Petre
2005	C	`conf`	My Program is Correct But it Doesn t Run: A Preliminary Investigation of Novice Programmers Problems. ACE Sandy Garner, Patricia Haden, Anthony V. Robins
2005	C	`conf`	Observations of Student Competency in a CS1 Course. ACE Janet Rountree, Nathan Rountree, Anthony V. Robins, Robert Hannah
2004	J	`jnl`	A robust method for distinguishing between learned and spurious attractors. Neural Networks Anthony V. Robins, Simon McCallum
2004	—	`conf`	Interacting factors that predict success and failure in a CS1 course. ITiCSE-WGR Nathan Rountree, Janet Rountree, Anthony V. Robins, Robert Hannah
2004	J	`jnl`	Interacting factors that predict success and failure in a CS1 course. ACM SIGCSE Bull. Nathan Rountree, Janet Rountree, Anthony V. Robins, Robert Hannah
2004	J	`jnl`	Sequential learning in neural networks: A review and a discussion of pseudorehearsal based methods. Intell. Data Anal. Anthony V. Robins
2003	J	`jnl`	Learning and Teaching Programming: A Review and Discussion. Comput. Sci. Educ. Anthony V. Robins, Janet Rountree, Nathan Rountree
2002	J	`jnl`	Predictors of success and failure in a CS1 course. ACM SIGCSE Bull. Nathan Rountree, Janet Rountree, Anthony V. Robins
1999	—	`conf`	Mechanisms for Memory Consolidation. New Zealand Computer Science Research Students' Conference Simon McCallum, Anthony V. Robins
1999	J	`jnl`	The consolidation of learning during sleep: comparing the pseudorehearsal and unlearning accounts. Neural Networks Anthony V. Robins, Simon McCallum
1998	J	`jnl`	Catastrophic Forgetting and the Pseudorehearsal Solution in Hopfield-type Networks. Connect. Sci. Anthony V. Robins, Simon McCallum
1998	J	`jnl`	Local Learning Algorithms for Sequential Tasks in Neural Networks. J. Adv. Comput. Intell. Intell. Informatics Anthony V. Robins, Marcus R. Frean
1998	—	`ch.`	Transfer in Cognition. Learning to Learn Anthony V. Robins
1997	—	`conf`	Distance as a Location Parameter in a Model of Hippocampal Place Fields. ICONIP (1) M. B. Mundy, Anthony V. Robins, D. Bilkey
1997	—	`conf`	Learning and Generalisation in a Stable Network. ICONIP (1) Anthony V. Robins, Marcus R. Frean
1996	J	`jnl`	Consolidation in Neural Networks and in the Sleeping Brain. Connect. Sci. Anthony V. Robins
1996	J	`jnl`	Transfer in Cognition. Connect. Sci. Anthony V. Robins
1995	J	`jnl`	Catastrophic Forgetting, Rehearsal and Pseudorehearsal. Connect. Sci. Anthony V. Robins
1993	—	`conf`	Catastrophic forgetting in neural networks: the role of rehearsal mechanisms. ANNES Anthony V. Robins
1993	—	`conf`	Neural networks and models of cognition: a review. ANNES Anthony V. Robins
1991	J	`jnl`	Multiple Representations in Connectionist Systems. Int. J. Neural Syst. Anthony V. Robins