John R. Anderson

Publication Activity (10 Years)

Years Active: 1956-2023
Publications (10 Years): 39

Top Venues

CoRR

CogSci

NeuroImage

Cogn. Sci.

Publications

Cvetomir Dimov, John R. Anderson, Shawn A. Betts, Daniel Bothell
An Integrated Model of Collaborative Skill Acquisition: Anticipation, Control Tuning, and Role Adoption. Cogn. Sci. 47 (7) (2023)
Sheide Chammas, Qing Wang, Tapio Schneider, Matthias Ihme, Yi-Fan Chen, John R. Anderson
Accelerating large-eddy simulations of clouds with Tensor Processing Units. CoRR (2023)
Qing Wang, Matthias Ihme, Yi-Fan Chen, John R. Anderson
A TensorFlow simulation framework for scientific computing of fluid flows on tensor processing units. Comput. Phys. Commun. 274 (2022)
Tianjian Lu, Yi-Fan Chen, Blake A. Hechtman, Tao Wang, John R. Anderson
Large-Scale Discrete Fourier Transform on TPUs. IEEE Access 9 (2021)
Qing Wang, Matthias Ihme, Yi-Fan Chen, John R. Anderson
A TensorFlow Simulation Framework for Scientific Computing of Fluid Flows on Tensor Processing Units. CoRR (2021)
Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CoRR (2020)
Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CIKM (2020)
Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson
Neural Collaborative Filtering vs. Matrix Factorization Revisited. RecSys (2020)
Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson
Neural Collaborative Filtering vs. Matrix Factorization Revisited. CoRR (2020)
Francois Belletti, Davis King, James Lottes, Yi-Fan Chen, John R. Anderson
Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow. CoRR (2020)
Fantine Huot, R. Lily Hu, Matthias Ihme, Qing Wang, John Burge, Tianjian Lu, Jason Hickey, Yi-Fan Chen, John R. Anderson
Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data. CoRR (2020)
Francois Belletti, Davis King, Kun Yang, Roland Nelet, Yusef Shafi, Yi-Fan Shen, John R. Anderson
Tensor Processing Units for Financial Monte Carlo. PPSC (2020)
John R. Anderson, Shawn Betts, Jon M. Fincham, Ryan Hope, Mathew W. Walsh
Reconstructing fine-grained cognition from brain activity. NeuroImage 221 (2020)
Qingqing Huang, Aren Jansen, Li Zhang, Daniel P. W. Ellis, Rif A. Saurous, John R. Anderson
Large-Scale Weakly-Supervised Content Embeddings for Music Recommendation and Tagging. ICASSP (2020)
Tianjian Lu, Yi-Fan Chen, Blake A. Hechtman, Tao Wang, John R. Anderson
Large-Scale Discrete Fourier Transform on TPUs. CoRR (2020)
John R. Anderson, Qingqing Huang, Walid Krichene, Steffen Rendle, Li Zhang
Superbloom: Bloom filter meets Transformer. CoRR (2020)
Fantine Huot, Yi-Fan Chen, Robert Clapp, Carlos Boneti, John R. Anderson
High-resolution imaging on TPUs. CoRR (2019)
Cvetomir Dimov, John R. Anderson, Shawn Betts, Daniel Bothell
Skill Acquisition in a Dynamic Collaborative Task. CogSci (2019)
Kun Yang, Yi-Fan Chen, George Roumpos, Chris Colby, John R. Anderson
High Performance Monte Carlo Simulation of Ising Model on TPU Clusters. CoRR (2019)
Francois Belletti, Karthik Lakshmanan, Walid Krichene, Yi-Fan Chen, John R. Anderson
Scalable Realistic Recommendation Datasets through Fractal Expansions. CoRR (2019)
Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson
Efficient Training on Very Large Corpora via Gramian Estimation. ICLR (Poster) (2019)
Francois Belletti, Karthik Lakshmanan, Walid Krichene, Nicolas Mayoraz, Yi-Fan Chen, John R. Anderson, Taylor Robie, Tayo Oguntebi, Dan Shirron, Amit Bleiwess
Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions. CoRR (2019)
Kun Yang, Yi-Fan Chen, Georgios Roumpos, Chris Colby, John R. Anderson
High performance Monte Carlo simulation of ising model on TPU clusters. SC (2019)
Francois Belletti, Davis King, Kun Yang, Roland Nelet, Yusef Shafi, Yi-Fan Chen, John R. Anderson
Tensor Processing Units for Financial Monte Carlo. CoRR (2019)
Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson
Efficient Training on Very Large Corpora via Gramian Estimation. CoRR (2018)
Qiong Zhang, Marieke K. van Vugt, Jelmer P. Borst, John R. Anderson
Mapping working memory retrieval in space and in time: A combined electroencephalography and electrocorticography approach. NeuroImage 174 (2018)
Qiong Zhang, Matthew M. Walsh, John R. Anderson
The Effects of Probe Similarity on Retrieval and Comparison Processes in Associative Recognition. J. Cogn. Neurosci. 29 (2) (2017)
Qiong Zhang, Marieke K. van Vugt, Jelmer P. Borst, John R. Anderson
A Spatial-Temporal Analysis of a Visual Working Memory Task with EEG and ECoG. CogSci (2017)
Doris Xin, Nicolas Mayoraz, Hubert Pham, Karthik Lakshmanan, John R. Anderson
Folding: Why Good Models Sometimes Make Spurious Recommendations. RecSys (2017)
Alex Beutel, Ed Huai-hsin Chi, Zhiyuan Cheng, Hubert Pham, John R. Anderson
Beyond Globally Optimal: Focused Learning for Improved Recommendations. WWW (2017)
Caitlin Tenison, John R. Anderson
The impact of practice frequency on learning and retention. CogSci (2017)
Aryn Pyke, Jon M. Fincham, John R. Anderson
When math operations have visuospatial meanings versus purely symbolic definitions: Which solving stages and brain regions are affected? NeuroImage 153 (2017)
John E. Laird, Kevin A. Gluck, John R. Anderson, Kenneth D. Forbus, Odest Chadwicke Jenkins, Christian Lebiere, Dario D. Salvucci, Matthias Scheutz, Andrea Thomaz, J. Gregory Trafton, Robert E. Wray, Shiwali Mohan, James R. Kirk
Interactive Task Learning. IEEE Intell. Syst. 32 (4) (2017)
Hee Seung Lee, Shawn Betts, John R. Anderson
Learning Problem-Solving Rules as Search Through a Hypothesis Space. Cogn. Sci. 40 (5) (2016)
Caitlin Tenison, John R. Anderson
From computation to automization: How practice alters initial neural response to familiar arithmetic problems. CogSci (2016)
Jelmer P. Borst, Avniel Singh Ghuman, John R. Anderson
Tracking cognitive processing stages with MEG: A spatio-temporal model of associative recognition in the brain. NeuroImage 141 (2016)
Jung Aa Moon, John R. Anderson
An ACT-R Model of the Choose-Short Effect in Time and Length. CogSci (2015)
Qiong Zhang, John R. Anderson, Robert E. Kass
Consistency in Brain Activation Predicts Success in Transfer. CogSci (2015)
Jelmer P. Borst, John R. Anderson
The discovery of processing stages: Analyzing EEG data with hidden semi-Markov models. NeuroImage 108 (2015)
John R. Anderson, Hee Seung Lee, Jon M. Fincham
Discovering the structure of mathematical problem solving. NeuroImage 97 (2014)
John R. Anderson, Jon M. Fincham
Discovering the Sequential Structure of Thought. Cogn. Sci. 38 (2) (2014)
Caitlin Tenison, John R. Anderson
Detecting Changes in Math Strategy Use During Learning. CogSci (2014)
Jelmer P. Borst, Darryl W. Schneider, Matthew M. Walsh, John R. Anderson
Stages of Processing in Associative Recognition: Evidence from Behavior, EEG, and Classification. J. Cogn. Neurosci. 25 (12) (2013)
John R. Anderson
Discovering the Structure of Mathematical Problem Solving. EDM (2013)
Matthew M. Walsh, John R. Anderson
Electrophysiological Responses to Feedback during the Application of Abstract Rules. J. Cogn. Neurosci. 25 (11) (2013)
Trudy Buwalda, Aryn Pyke, Shawn Betts, Niels Taatgen, John R. Anderson
Acquiring Basic Skills in Changing Task Environments: Transfer of Working Memory Updating. CogSci (2013)
Jelmer P. Borst, John R. Anderson
Discovering Processing Stages by combining EEG with Hidden Markov Models. CogSci (2013)
Christian Lebiere, Peter Pirolli, Robert Thomson, Jaehyon Paik, Matthew Rutledge-Taylor, James Staszewski, John R. Anderson
A Functional Model of Sensemaking in a Neurocognitive Architecture. Comput. Intell. Neurosci. 2013 (2013)
John R. Anderson, Jon M. Fincham, Darryl W. Schneider, Jian Yang
Using brain imaging to track problem solving in a complex state space. NeuroImage 60 (1) (2012)
Jung Aa Moon, John R. Anderson
Modeling Millisecond Time Interval Estimation in Space Fortress Game. CogSci (2012)
Jung Aa Moon, Daniel Bothell, John R. Anderson
Using a Cognitive Model to Provide Instruction for a Dynamic Task. CogSci (2011)
Hee Seung Lee, Abraham R. Anderson, Shawn Betts, John R. Anderson
When does provision of instruction promote learning? CogSci (2011)
John R. Anderson, Daniel Bothell, Jon M. Fincham, Abraham R. Anderson, Ben Poole, Yulin Qin
Brain Regions Engaged by Part- and Whole-task Performance in a Video Game: A Model-based Test of the Decomposition Hypothesis. J. Cogn. Neurosci. 23 (12) (2011)
John R. Anderson, Shawn Betts, Jennifer L. Ferris, Jon M. Fincham, Jian Yang
Using Brain Imaging to Interpret Student Problem Solving. IEEE Intell. Syst. 26 (5) (2011)
Matthew Rutledge-Taylor, Christian Lebiere, Yury Vinokurov, James Staszewski, John R. Anderson
Bridging the gap: A neurally plausible functional model of sensemaking. BICA (2011)
Niels Taatgen, John R. Anderson
The Past, Present, and Future of Cognitive Architectures. Top. Cogn. Sci. 2 (4) (2010)
Jon M. Fincham, John R. Anderson, Shawn Betts, Jennifer L. Ferris
Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System. EDM (2010)
Andrea Stocco, Christian Lebiere, Randall C. O'Reilly, John R. Anderson
The Role of the Basal Ganglia - Anterior Prefrontal Circuit as a Biological Instruction Interpreter. BICA (2010)
Christian Lebiere, Randall C. O'Reilly, David J. Jilk, Niels Taatgen, John R. Anderson
The SAL Integrated Cognitive Architecture. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2008)
Andrea Stocco, John R. Anderson
Endogenous Control and Task Representation: An fMRI Study in Algebraic Problem-solving. J. Cogn. Neurosci. 20 (7) (2008)
David J. Jilk, Christian Lebiere, Randall C. O'Reilly, John R. Anderson
Beyond red states and blue states in cognitive science. J. Exp. Theor. Artif. Intell. 20 (3) (2008)
John R. Anderson, Yulin Qin
Using Brain Imaging to Extract the Structure of Complex Events at the Rational Time Band. J. Cogn. Neurosci. 20 (9) (2008)
David J. Jilk, Christian Lebiere, Randall C. O'Reilly, John R. Anderson
SAL: an explicitly pluralistic cognitive architecture. J. Exp. Theor. Artif. Intell. 20 (3) (2008)
John R. Anderson, Cameron S. Carter, Jon M. Fincham, Yulin Qin, Susan M. Ravizza, Miriam Rosenberg-Lee
Using fMRI to Test Models of Complex Cognition. Cogn. Sci. 32 (8) (2008)
Jared F. Danker, John R. Anderson
The roles of prefrontal and posterior parietal cortex in algebra problem solving: A case of using cognitive modeling to inform neuroimaging data. NeuroImage 35 (3) (2007)
Yulin Qin, Daniel Bothell, John R. Anderson
ACT-R Meets fMRI. WImBI (2006)
Wai-Tat Fu, Daniel Bothell, Scott Douglass, Craig Haimson, Myeong-Ho Sohn, John R. Anderson
Toward a real-time model-based training system. Interact. Comput. 18 (6) (2006)
Myeong-Ho Sohn, Scott Douglass, Mon-Chu Chen, John R. Anderson
Characteristics of Fluent Skills in a Complex, Dynamic Problem-Solving Task. Hum. Factors 47 (4) (2005)
Philip I. Pavlik Jr., John R. Anderson
Practice and Forgetting Effects on Vocabulary Memory: An Activation-Based Model of the Spacing Effect. Cogn. Sci. 29 (4) (2005)
Myeong-Ho Sohn, Adam Goode, V. Andrew Stenger, Kwan-Jin Jung, Cameron S. Carter, John R. Anderson
An information-processing model of three cortical regions: evidence in episodic memory retrieval. NeuroImage 25 (1) (2005)
John R. Anderson, Mark V. Albert, Jon M. Fincham
Tracing Problem Solving in Real Time: fMRI Analysis of the Subject-paced Tower of Hanoi. J. Cogn. Neurosci. 17 (8) (2005)
John R. Anderson
Human Symbol Manipulation Within an Integrated Cognitive Architecture. Cogn. Sci. 29 (3) (2005)
Raluca Budiu, John R. Anderson
Interpretation-based processing: a unified theory of semantic sentence comprehension. Cogn. Sci. 28 (1) (2004)
Niels Taatgen, Hedderik van Rijn, John R. Anderson
Time Perception: Beyond Simple Interval Estimation. ICCM (2004)
Philip I. Pavlik Jr., John R. Anderson
An ACT-R Model of Memory Applied to Finding the Optimal Schedule of Practice. ICCM (2004)
Glenn Gunzelmann, John R. Anderson, Scott Douglass
Orientation Tasks with Multiple Views of Space: Strategies and Performance. Spatial Cogn. Comput. 4 (3) (2004)
Craig Haimson, Daniel Bothell, Scott A. Douglass, John R. Anderson
Partitioning Visual Displays Aids Task-Directed Visual Search. Hum. Factors 46 (3) (2004)
Wai-Tat Fu, Daniel Bothell, Scott Douglass, Craig Haimson, Myeong-Ho Sohn, John R. Anderson
Learning Real-time Over-the-shoulder Instructions in a Dynamic Task. ICCM (2004)
Glenn Gunzelmann, John R. Anderson
Problem solving: Increased planning with practice. Cogn. Syst. Res. 4 (1) (2003)
John R. Anderson
Spanning seven orders of magnitude: a challenge for cognitive modeling. Cogn. Sci. 26 (1) (2002)
Dario D. Salvucci, John R. Anderson
Automated Eye-Movement Protocol Analysis. Hum. Comput. Interact. 16 (1) (2001)
Mon-Chu Chen, John R. Anderson, Myeong-Ho Sohn
What can a mouse cursor tell us more?: correlation of eye/mouse movements on web browsing. CHI Extended Abstracts (2001)
Dario D. Salvucci, John R. Anderson
Integrating analogical mapping and general problem solving: the path-mapping theory. Cogn. Sci. 25 (1) (2001)
Albert T. Corbett, John R. Anderson
Locus of feedback control in computer-based tutoring: impact on learning rate, achievement and attitudes. CHI (2001)
Dario D. Salvucci, John R. Anderson
Intelligent gaze-added interfaces. CHI (2000)
Kevin A. Gluck, John R. Anderson, Scott Douglass
Broader Bandwidth in Student Modeling: What if ITS were "Eye"TS? Intelligent Tutoring Systems (2000)
Scott Sanner, John R. Anderson, Christian Lebiere, Marsha C. Lovett
Achieving Efficient and Cognitively Plausible Learning in Backgammon. ICML (2000)
Michael D. Byrne, John R. Anderson, Scott Douglass, Michael Matessa
Eye Tracking the Visual Search of Click-Down Menus. CHI (1999)
Albert T. Corbett, John R. Anderson, Arthur C. Graesser, Kenneth R. Koedinger, Kurt VanLehn
Third generation computer tutors: learn from or ignore human tutors? CHI Extended Abstracts (1999)
Christian D. Schunn, John R. Anderson
The generality/specificity of expertise in scientific reasoning. Cogn. Sci. 23 (3) (1999)
John R. Anderson
Instructional Applications of ACT: Past, Present, and Future. Intelligent Tutoring Systems (1998)
Kevin A. Gluck, Valerie J. Shute, John R. Anderson, Marsha C. Lovett
Deconstructing a Computer-Based Tutor: Striving for Better Learning Efficiency in Stat Lady. Intelligent Tutoring Systems (1998)
Kenneth R. Koedinger, John R. Anderson
Illustrating Principled Design: The Early Evolution of a Cognitive Tutor for Algebra Symbolization. Interact. Learn. Environ. 5 (1) (1998)
Peter Brusilovsky, John R. Anderson
ACT-R Electronic Bookshelf: An Adaptive System to Support LearningACT-R on the Web. WebNet (1998)
John R. Anderson
digital Smoke. SIGGRAPH Visual Proceedings (1997)
John R. Anderson, Michael Matessa, Christian Lebiere
ACT-R: A Theory of Higher Level Cognition and Its Relation to Visual Attention. Hum. Comput. Interact. 12 (4) (1997)
Léon Harvey, John R. Anderson
Transfer of Declarative Knowledge in Complex Information-Processing Domains. Hum. Comput. Interact. 11 (1) (1996)
Albert T. Corbett, John R. Anderson
Knowledge Tracing: Modelling the Acquisition of Procedural Knowledge. User Model. User Adapt. Interact. 4 (4) (1995)
Quanfeng Wu, John R. Anderson
Strategy Choice and Change in Programming. Int. J. Man Mach. Stud. 39 (4) (1993)
John R. Anderson, Michael Matessa
Explorations of an Incremental, Bayesian Algorithm for Categorization. Mach. Learn. 9 (1992)

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Publication Activity (10 Years)

Top Topics

Top Venues

John R. Anderson