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Liam A. Comerford
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Books and Theses
- 2015
- [b1]Liam A. Comerford:
Artificial neural network approaches and compressive sensing techniques for stochastic process estimation and simulation subject to incomplete data. University of Liverpool, UK, 2015
Conference and Workshop Papers
- 2019
- [c5]Marco Behrendt, Liam A. Comerford, Michael Beer:
Development of a Relaxed Stationary Power Spectrum using Imprecise Probabilities with Application to High-rise Buildings. SSCI 2019: 784-790 - 2017
- [c4]Liam A. Comerford, Michael Beer, Naiwei Lu:
Revealing prediction uncertainty in artificial neural network based reconstruction of missing data in stochastic process records utilizing extreme learning machines. SSCI 2017: 1-7 - 2015
- [c3]Yuanjin Zhang, Liam A. Comerford, Michael Beer, Ioannis A. Kougioumtzoglou:
Compressive sensing for power spectrum estimation of multi-dimensional processes under missing data. IWSSIP 2015: 162-165 - 2014
- [c2]Liam A. Comerford, Michael Beer, Ioannis A. Kougioumtzoglou:
Compressive sensing based power spectrum estimation from incomplete records by utilizing an adaptive basis. CIES 2014: 117-124 - 2013
- [c1]Liam A. Comerford, Ioannis A. Kougioumtzoglou, Michael Beer:
An artificial neural network based approach for power spectrum estimation and simulation of stochastic processes subject to missing data. CIES 2013: 118-124
Informal and Other Publications
- 2020
- [i1]Marco de Angelis, Marco Behrendt, Liam A. Comerford, Yuanjin Zhang, Michael Beer:
Forward interval propagation through the Fourier discrete transform. CoRR abs/2012.09778 (2020)
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