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Peter C. R. Lane
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2020 – today
- 2023
- [c26]Laura Bartlett, Angelo Pirrone, Noman Javed, Peter C. R. Lane, Fernand Gobet:
Genetic Programming for Developing Simple Cognitive Models. CogSci 2023 - [c25]Angelo Pirrone
, Peter C. R. Lane
Heuristic Search of Heuristics. SGAI Conf. 2023: 407-420 - 2022
- [j13]Noman Javed
Simplification of genetic programs: a literature survey. Data Min. Knowl. Discov. 36(4): 1279-1300 (2022) - [c24]Peter C. R. Lane
Dynamic Hierarchical Structure Optimisation for Cloud Computing Job Scheduling. EvoApplications 2022: 301-316 - 2020
- [c23]Dmitry Bennett, Fernand Gobet, Peter C. R. Lane:
Forming Concepts of Mozart and Homer Using Short-Term and Long-Term Memory: A Computational Model Based on Chunking. CogSci 2020
2010 – 2019
- 2018
- [j12]Zaheed Mahmood, David Bowes
Reproducibility and replicability of software defect prediction studies. Inf. Softw. Technol. 99: 148-163 (2018) - [j11]Deepak Panday, Renato Cordeiro de Amorim
Feature weighting as a tool for unsupervised feature selection. Inf. Process. Lett. 129: 44-52 (2018) - 2017
- [c22]Fernand Gobet, Peter C. R. Lane:
Constructing a Standard Model: Lessons from CHREST. AAAI Fall Symposia 2017: 338-343 - 2016
- [c21]Martyn Lloyd-Kelly, Fernand Gobet, Peter C. R. Lane:
Under Pressure: How Time-Limited Cognition Explains Statistical Learning by 8-Month Old Infants. CogSci 2016 - 2015
- [j10]Martyn Lloyd-Kelly, Fernand Gobet, Peter C. R. Lane:
A Question of Balance - The Benefits of Pattern-Recognition When Solving Problems in a Complex Domain. Trans. Comput. Collect. Intell. 20: 224-258 (2015) - [c20]Martyn Lloyd-Kelly, Fernand Gobet, Peter C. R. Lane:
Piece of Mind: Long-Term Memory Structure in ACT-R and CHREST. CogSci 2015 - [c19]Martyn Lloyd-Kelly, Fernand Gobet, Peter C. R. Lane:
The Art of Balance - Problem-Solving vs. Pattern-Recognition. ICAART (2) 2015: 131-142 - [c18]Zaheed Mahmood, David Bowes
What is the Impact of Imbalance on Software Defect Prediction Performance? PROMISE 2015: 4:1-4:4 - 2014
- [c17]Peter C. R. Lane, Peter D. Sozou, Fernand Gobet
Analysing Psychological Data by Evolving Computational Models. ECDA 2014: 587-597 - [c16]Martyn Lloyd-Kelly, Peter C. R. Lane, Fernand Gobet:
The Effects of Bounding Rationality on the Performance and Learning of CHREST Agents in Tileworld. SGAI Conf. 2014: 149-162 - 2013
- [j9]Peter C. R. Lane, Fernand Gobet:
Evolving Non-Dominated Parameter Sets for Computational Models from Multiple Experiments. J. Artif. Gen. Intell. 4(1): 1-30 (2013) - 2012
- [j8]Peter C. R. Lane, Daoud Clarke, Paul Hender:
On developing robust models for favourability analysis: Model choice, feature sets and imbalanced data. Decis. Support Syst. 53(4): 712-718 (2012) - [j7]Peter C. R. Lane, Fernand Gobet
A theory-driven testing methodology for developing scientific software. J. Exp. Theor. Artif. Intell. 24(4): 421-456 (2012) - [c15]Peter C. R. Lane, Fernand Gobet
CHREST Models of Implicit Learning and Board Game Interpretation. AGI 2012: 148-157 - [c14]Terry Bossomaier, Jason M. Traish, Fernand Gobet
Neuro-cognitive model of move location in the game of Go. IJCNN 2012: 1-7 - [c13]Peter C. R. Lane, Fernand Gobet
Using Chunks to Categorise Chess Positions. SGAI Conf. 2012: 93-106 - 2011
- [c12]Daoud Clarke, Peter C. R. Lane, Paul Hender:
Semi-Automatic Analysis of Traditional Media with Machine Learning. SGAI Conf. 2011: 325-337 - [c11]Daoud Clarke, Peter C. R. Lane, Paul Hender:
Developing Robust Models for Favourability Analysis. WASSA@ACL 2011: 44-52 - 2010
- [j6]Andreas Alexander Albrecht, Peter C. R. Lane, Kathleen Steinhöfel
Analysis of Local Search Landscapes for k-SAT Instances. Math. Comput. Sci. 3(4): 465-488 (2010) - [c10]Pam Green, Peter C. R. Lane, Austen Rainer, Sven-Bodo Scholz:
Selecting Features in Origin Analysis. SGAI Conf. 2010: 379-392
2000 – 2009
- 2009
- [c9]Pam Green, Peter C. R. Lane, Austen Rainer, Sven-Bodo Scholz:
Building Classifiers to Identify Split Files. MLDM Posters 2009: 1-8 - 2008
- [c8]Andreas Alexander Albrecht, Peter C. R. Lane, Kathleen Steinhöfel
Combinatorial landscape analysis for k-SAT instances. IEEE Congress on Evolutionary Computation 2008: 2498-2504 - [c7]Richard Ll. Smith, Peter C. R. Lane, Fernand Gobet
Modelling the Relationship between Visual Short-Term Memory Capacity and Recall Ability. EMS 2008: 99-104 - [c6]Andreas Alexander Albrecht, Peter C. R. Lane, Kathleen Steinhöfel:
Estimating the Number of Local Maxima for k-SAT Instances. ISAIM 2008 - [c5]Austen Rainer
Using n-grams to rapidly characterise the evolution of software code. ASE Workshops 2008: 43-52 - [c4]Peter C. R. Lane, Fernand Gobet
A Methodology for Developing Computational Implementations of Scientific Theories. UKSim 2008: 392-397 - [c3]Peter C. R. Lane, Fernand Gobet
Attention Mechanisms in the CHREST Cognitive Architecture. WAPCV 2008: 183-196 - 2006
- [j5]Jun Peng Bao, Caroline Lyon, Peter C. R. Lane:
Copy detection in Chinese documents using Ferret. Lang. Resour. Evaluation 40(3-4): 357-365 (2006) - 2005
- [c2]Peter C. R. Lane, Fernand Gobet:
Discovering Predictive Variables When Evolving Cognitive Models. ICAPR (1) 2005: 108-117 - 2004
- [c1]Fernand Gobet, Peter C. R. Lane:
CHREST, a Tool for Teaching Cognitive Modeling. ICCM 2004 - 2003
- [j4]Peter C. R. Lane, Fernand Gobet
Developing reproducible and comprehensible computational models. Artif. Intell. 144(1-2): 251-263 (2003) - [j3]Peter C. R. Lane, James Henderson:
Towards Effective Parsing with Neural Networks: Inherent Generalisations and Bounded Resource Effects. Appl. Intell. 19(1-2): 83-99 (2003) - 2001
- [j2]Peter C. R. Lane, Fernand Gobet:
Simple environments fail as illustrations of intelligence: A review of R. Pfeifer and C. Scheier, Understanding Intelligence. Artif. Intell. 127(2): 261-267 (2001) - [j1]Peter C. R. Lane
Incremental Syntactic Parsing of Natural Language Corpora with Simple Synchrony Networks. IEEE Trans. Knowl. Data Eng. 13(2): 219-231 (2001)
Coauthor Index
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