Andrew D. Hellicar

Publication Activity (10 Years)

Years Active: 2007-2022
Publications (10 Years): 5

Top Topics

Multivariate Time Series

Computational Intelligence Methods

Top Venues

Comput. Electron. Agric.

Publications

Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold
Deep Learning for Prawn Farming - Forecasting and Anomaly Detection. PAKDD (3) (2022)
Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold
Deep Learning for Prawn Farming: Forecasting and Anomaly Detection. CoRR (2022)
Mashud Rana, Ashfaqur Rahman, Daniel Hugo, John McCulloch, Andrew D. Hellicar
Investigating data-driven approaches to understand the interaction between water quality and physiological response of sentinel oysters in natural environment. Comput. Electron. Agric. 175 (2020)
Zakaria Mhammedi, Andrew D. Hellicar, Ashfaqur Rahman, James Bailey
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. ICML (2017)
Zakaria Mhammedi, Andrew D. Hellicar, Ashfaqur Rahman, James Bailey
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. CoRR (2016)
Daniel V. Smith, Ritaban Dutta, Andrew D. Hellicar, Greg Bishop-Hurley, Richard Rawnsley, David Henry, James Hills, Greg P. Timms
Bag of Class Posteriors, a new multivariate time series classifier applied to animal behaviour identification. Expert Syst. Appl. 42 (7) (2015)
Andrew D. Hellicar, Ashfaqur Rahman, Daniel V. Smith, John M. Henshall
Machine learning approach for pooled DNA sample calibration. BMC Bioinform. 16 (2015)
Ashfaqur Rahman, Andrew D. Hellicar, Daniel V. Smith, John M. Henshall
Allele frequency calibration for SNP based genotyping of DNA pools: A regression based local-global error fusion method. Comput. Biol. Medicine 61 (2015)
Ashfaqur Rahman, Andrew D. Hellicar
Identification of mature grape bunches using image processing and computational intelligence methods. CIMSIVP (2014)
Andrew D. Hellicar, Ashfaqur Rahman, Daniel V. Smith, Greg Smith, John McCulloch
A neural network and SOM based approach to analyse periodic signals: Application to Oyster heart-rate data. IJCNN (2014)
Andrew D. Hellicar, Daniel V. Smith, Ashfaqur Rahman, Ulrich Engelke, John M. Henshall
A hierarchical learning approach to calibrate allele frequencies for SNP based genotyping of DNA pools. IJCNN (2014)
Greg Bishop-Hurley, Dave Henry, Daniel V. Smith, Ritaban Dutta, James Hills, Richard Rawnsley, Andrew D. Hellicar, Greg P. Timms, Ahsan Morshed, Ashfaqur Rahman, Claire D'Este, Yanfeng Shu
An investigation of cow feeding behavior using motion sensors. I2MTC (2014)
Dan C. Popescu, Andrew D. Hellicar
Point Spread Function Estimation for a Terahertz Imaging System. EURASIP J. Adv. Signal Process. 2010 (2010)
Greg P. Timms, Michael L. Brothers, John D. Bunton, John W. Archer, Grahame C. Rosolen, Yue Li, Andrew D. Hellicar, Juan Y. Tello, Stuart G. Hay
Design and testing of an active 190-GHz millimeter-wave imager. J. Electronic Imaging 19 (4) (2010)
Dan C. Popescu, Andrew D. Hellicar, Yue Li
Phantom-Based Point Spread Function Estimation for Terahertz Imaging System. ACIVS (2009)
Yue Li, Li Li, Juan Y. Tello, Dan C. Popescu, Andrew D. Hellicar
A Performance Comparison of De-convolution Algorithms on Transmission Terahertz Images. ACIVS (2009)
Dan C. Popescu, Gregory W. Hislop, Andrew D. Hellicar
Low-Rank Approximation for Fast Image Acquisition. ACIVS (2007)