David Browne - researchr alias

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Viewing Publication 1 - 9 from 9

2021

Unsupervised PulseNet: Automated Pruning of Convolutional Neural Networks by K-Means ClusteringDavid Browne, Michael Giering, Steven D. Prestwich. mod 2022: 172-184 [doi]

Classifier-based constraint acquisitionSteven David Prestwich, Eugene C. Freuder, Barry O'Sullivan, David Browne. AMAI, 89(7):655-674, 2021. [doi]

2020

PulseNetOne: Fast Unsupervised Pruning of Convolutional Neural Networks for Remote SensingDavid Browne, Michael Giering, Steven David Prestwich. remotesensing, 12(7):1092, 2020. [doi]

Parameter reduction in deep learning and classificationDavid Browne. PhD thesis, University College Cork, Republic of Ireland, 2020. [doi]

2019

Deep Learning Human Activity RecognitionDavid Browne, Michael Gierin, Steve Prestwich. aics 2020: 76-87 [doi]

2016

Relevance-Redundancy Dominance: A Threshold-Free Approach to Filter-Based Feature SelectionDavid Browne, Carlo Manna, Steve Prestwich. aics 2016: 227-238 [doi]

Control of a soft-bodied XY peristaltic table for delicate sortingRyman Hashem, Brierley Smith, David Browne, Weiliang Xu, Martin Stommel. amc 2016: 358-363 [doi]

2012

Session MA8b1: Communication systems IDavid Browne. acssc 2012: 121-122 [doi]

1985

Light-hearted approach to MSX-basic takes the myth out of programming: Jonathan Pearce and Graham Bland 'MSX - an introduction' Century Communications, London, UK (August 1984) £7.95 pp 166David Browne. mam, 9(6):311, 1985. [doi]

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