Richard Stafford - researchr alias

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Viewing Publication 1 - 20 from 20

2022

Bayesian networks as a novel tool to enhance interpretability and predictive power of ecological modelsEdwin Hui, Richard Stafford, Iain M. Matthews, V. Anne Smith. ecoi, 68:101539, 2022. [doi]

2018

Accumulation of marine microplastics along a trophic gradient as determined by an agent-based modelRosamund L. Griffin, Iain Green, Richard Stafford. ecoi, 45:81-84, 2018. [doi]

2016

Potential role of predators on carbon dynamics of marine ecosystems as assessed by a Bayesian belief networkElisabeth K. A. Spiers, Richard Stafford, Mery Ramirez, Douglas F. Vera Izurieta, Mariaherminia Cornejo, Johnny Chavarria. ecoi, 36:77-83, 2016. [doi]

2015

A biologically relevant rapid quantification of physical and biological stress profiles on rocky shoresRichard Stafford, Terence P. T. Ng, Gray A. Williams, Mark S. Davies. ecoi, 25:43-48, 2015. [doi]

2013

A visual method to identify significant latitudinal changes in species' distributionsRichard Stafford, Adam G. Hart, Anne E. Goodenough. ecoi, 15:74-84, 2013. [doi]

2012

Statistical precision of diet diversity from scat and pellet analysisRachel L. Williams, Anne E. Goodenough, Richard Stafford. ecoi, 7(1):30-34, 2012. [doi]

2010

Constraints of Biological Neural Networks and Their Consideration in AI ApplicationsRichard Stafford. advai, 2010, 2010. [doi]

2009

Use of confidence radii to visualise significant differences in principal components analysis: Application to mammal assemblages at locations with different disturbance levelsChristina L. Catlin-Groves, Claire L. Kirkhope, Anne E. Goodenough, Richard Stafford. ecoi, 4(3):147-151, 2009. [doi]

2008

A computational approach to ecological and economic sustainable harvest management strategies in a multi-species context, with implications for cod recovery plansRichard Stafford. ecoi, 3(1):105-110, 2008. [doi]

Self-Organization of Intertidal Snails Facilitates Evolution of Aggregation BehaviorRichard Stafford, Mark S. Davies, Gray A. Williams. alife, 14(4):409-423, 2008. [doi]

The virtual rocky shore - linking A-life with ecological and pedagogical researchRichard Stafford, Mark S. Davies, Gray A. Williams. alife 2010: 804 [doi]

2007

Data mining neural spike trains for the identification of behavioural triggers using evolutionary algorithmsRichard Stafford, F. Claire Rind. ijon, 70(4-6):1079-1084, 2007. [doi]

A bio-inspired visual collision detection mechanism for cars: Combining insect inspired neurons to create a robust systemRichard Stafford, Roger D. Santer, F. Claire Rind. biosystems, 87(2-3):164-171, 2007. [doi]

2006

Influence of gene-linkage and recombination of evolutionary algorithms on the rate of evolution, genetic diversity and the response of evolving populations to disturbanceRichard Stafford. ecoi, 1(4):349-354, 2006. [doi]

A bio-inspired visual collision detection mechanism for cars: Optimisation of a model of a locust neuron to a novel environmentShigang Yue, F. Claire Rind, Matthias S. Keil, Jorge Cuadri, Richard Stafford. ijon, 69(13-15):1591-1598, 2006. [doi]

2005

Examining Refuge Location Mechanisms in Intertidal Snails Using Artificial Life Simulation TechniquesRichard Stafford, Mark S. Davies. ecal 2005: 520-529 [doi]

1998

Operational Modeling and Simulation in Semiconductor ManufacturingJohn W. Fowler, Michael C. Fu, Lee Schruben, Steven Brown, Frank Chance, Sean Cunningham, Courtland Hilton, Mani Janakiram, Richard Stafford, James Hutchby. wsc 1998: 1035 [doi]

Optimazation and Analysis of Performance in SimulationMark Pool, Richard Stafford. wsc 1998: 1689-1692 [doi]

1995

AutoViewRichard Stafford. wsc 1995: 524-528 [doi]

1994

Modeling and simulation of material handling for semiconductor wafer fabricationNeal G. Pierce, Richard Stafford. wsc 1994: 900-906 [doi]

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