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Peter C. R. Lane

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2018
[j10]
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  - journals/infsof/MahmoodBHLP18
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Zaheed Mahmood, David Bowes, Tracy Hall, Peter C. R. Lane, Jean Petric:
Reproducibility and replicability of software defect prediction studies. Information & Software Technology 99: 148-163 (2018)
2016
[c21]
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  - conf/cogsci/Lloyd-KellyGL16
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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
[j9]
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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. Computational Collective Intelligence 20: 224-258 (2015)
[c20]
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Martyn Lloyd-Kelly, Fernand Gobet, Peter C. R. Lane:
Piece of Mind: Long-Term Memory Structure in ACT-R and CHREST. CogSci 2015
[c19]
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Martyn Lloyd-Kelly, Fernand Gobet, Peter C. R. Lane:
The Art of Balance - Problem-Solving vs. Pattern-Recognition. ICAART (2) 2015: 131-142
[c18]
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Zaheed Mahmood, David Bowes, Peter C. R. Lane, Tracy Hall:
What is the Impact of Imbalance on Software Defect Prediction Performance? PROMISE 2015: 4:1-4:4
2014
[c17]
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  - conf/ecda/LaneSGA14
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Peter C. R. Lane, Peter D. Sozou, Fernand Gobet, Mark Addis:
Analysing Psychological Data by Evolving Computational Models. ECDA 2014: 587-597
[c16]
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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
[j8]
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  - journals/jagi/LaneG13
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Peter C. R. Lane, Fernand Gobet:
Evolving Non-Dominated Parameter Sets for Computational Models from Multiple Experiments. J. Artificial General Intelligence 4(1): 1-30 (2013)
2012
[j7]
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  - journals/dss/LaneCH12
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Peter C. R. Lane, Daoud Clarke, Paul Hender:
On developing robust models for favourability analysis: Model choice, feature sets and imbalanced data. Decision Support Systems 53(4): 712-718 (2012)
[j6]
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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]
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Peter C. R. Lane, Fernand Gobet:
CHREST Models of Implicit Learning and Board Game Interpretation. AGI 2012: 148-157
[c14]
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  - conf/ijcnn/BossomaierTGL12
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Terry Bossomaier, Jason Traish, Fernand Gobet, Peter C. R. Lane:
Neuro-cognitive model of move location in the game of Go. IJCNN 2012: 1-7
[c13]
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Peter C. R. Lane, Fernand Gobet:
Using Chunks to Categorise Chess Positions. SGAI Conf. 2012: 93-106
2011
[c12]
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  - conf/sgai/ClarkeLH11
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Daoud Clarke, Peter C. R. Lane, Paul Hender:
Semi-Automatic Analysis of Traditional Media with Machine Learning. SGAI Conf. 2011: 325-337
[c11]
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Daoud Clarke, Peter C. R. Lane, Paul Hender:
Developing Robust Models for Favourability Analysis. WASSA@ACL 2011: 44-52
2010
[j5]
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  - journals/mics/AlbrechtLS10
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Andreas Alexander Albrecht, Peter C. R. Lane, Kathleen Steinhöfel:
Analysis of Local Search Landscapes for k-SAT Instances. Mathematics in Computer Science 3(4): 465-488 (2010)
[c10]
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  - conf/sgai/GreenLRS10
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Pam Green, Peter C. R. Lane, Austen Rainer, Sven-Bodo Scholz:
Selecting Features in Origin Analysis. SGAI Conf. 2010: 379-392

2000 – 2009

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2009
[c9]
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Pam Green, Peter C. R. Lane, Austen Rainer, Sven-Bodo Scholz:
Building Classifiers to Identify Split Files. MLDM Posters 2009: 1-8
2008
[c8]
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  - conf/cec/AlbrechtLS08
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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]
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  - conf/ems/SmithLG08
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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]
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Andreas Alexander Albrecht, Peter C. R. Lane, Kathleen Steinhöfel:
Estimating the Number of Local Maxima for k-SAT Instances. ISAIM 2008
[c5]
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  - conf/kbse/RainerLMS08
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Austen Rainer, Peter C. R. Lane, James A. Malcolm, Sven-Bodo Scholz:
Using n-grams to rapidly characterise the evolution of software code. ASE Workshops 2008: 43-52
[c4]
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Peter C. R. Lane, Fernand Gobet:
A Methodology for Developing Computational Implementations of Scientific Theories. UKSim 2008: 392-397
[c3]
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Peter C. R. Lane, Fernand Gobet, Richard Ll. Smith:
Attention Mechanisms in the CHREST Cognitive Architecture. WAPCV 2008: 183-196
2006
[j4]
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  - journals/lre/BaoLL06
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Jun Peng Bao, Caroline Lyon, Peter C. R. Lane:
Copy detection in Chinese documents using Ferret. Language Resources and Evaluation 40(3-4): 357-365 (2006)
2005
[c2]
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Peter C. R. Lane, Fernand Gobet:
Discovering Predictive Variables When Evolving Cognitive Models. ICAPR (1) 2005: 108-117
2004
[c1]
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  - conf/iccm/GobetL04
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Fernand Gobet, Peter C. R. Lane:
CHREST, a Tool for Teaching Cognitive Modeling. ICCM 2004
2003
[j3]
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  - journals/ai/LaneG03
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Peter C. R. Lane, Fernand Gobet:
Developing reproducible and comprehensible computational models. Artif. Intell. 144(1-2): 251-263 (2003)
[j2]
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  - journals/apin/LaneH03
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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
[j1]
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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)

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