An artificial neural network based approach for power spectrum estimation and simulation of stochastic processes subject to missing data. - Liam A. Comerford; Ioannis A. Kougioumtzoglou; Michael Beer (CIES, 2013)

Compressive sensing based power spectrum estimation from incomplete records by utilizing an adaptive basis. - Liam A. Comerford; Michael Beer; Ioannis A. Kougioumtzoglou (CIES, 2014)

Compressive sensing for power spectrum estimation of multi-dimensional processes under missing data. - Yuanjin Zhang; Liam A. Comerford; Michael Beer; Ioannis A. Kougioumtzoglou (IWSSIP, 2015)

Artificial neural network approaches and compressive sensing techniques for stochastic process estimation and simulation subject to incomplete data. - Liam A. Comerford (2015)

Revealing prediction uncertainty in artificial neural network based reconstruction of missing data in stochastic process records utilizing extreme learning machines. - Liam A. Comerford; Michael Beer; Naiwei Lu (SSCI, 2017)

Development of a Relaxed Stationary Power Spectrum using Imprecise Probabilities with Application to High-rise Buildings. - Marco Behrendt; Liam A. Comerford; Michael Beer (SSCI, 2019)

Forward interval propagation through the Fourier discrete transform. - Marco de Angelis 002; Marco Behrendt; Liam A. Comerford; Yuanjin Zhang; Michael Beer (CoRR, 2020)