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Andrew D. Hellicar
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- affiliation: CSIRO Computational Informatics
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2020 – today
- 2022
- [c9]Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold:
Deep Learning for Prawn Farming - Forecasting and Anomaly Detection. PAKDD (3) 2022: 29-41 - [i2]Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold:
Deep Learning for Prawn Farming: Forecasting and Anomaly Detection. CoRR abs/2205.06359 (2022) - 2020
- [j6]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: 105545 (2020)
2010 – 2019
- 2017
- [c8]Zakaria Mhammedi, Andrew D. Hellicar, Ashfaqur Rahman, James Bailey:
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. ICML 2017: 2401-2409 - 2016
- [i1]Zakaria Mhammedi, Andrew D. Hellicar, Ashfaqur Rahman, James Bailey:
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. CoRR abs/1612.00188 (2016) - 2015
- [j5]Andrew D. Hellicar, Ashfaqur Rahman, Daniel V. Smith, John M. Henshall:
Machine learning approach for pooled DNA sample calibration. BMC Bioinform. 16: 214:1-214:11 (2015) - [j4]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: 48-55 (2015) - [j3]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): 3774-3784 (2015) - 2014
- [c7]Ashfaqur Rahman, Andrew D. Hellicar:
Identification of mature grape bunches using image processing and computational intelligence methods. CIMSIVP 2014: 54-59 - [c6]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: 1285-1290 - [c5]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: 183-189 - [c4]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: 2211-2217 - 2010
- [j2]Dan C. Popescu, Andrew D. Hellicar:
Point Spread Function Estimation for a Terahertz Imaging System. EURASIP J. Adv. Signal Process. 2010 (2010) - [j1]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): 043019 (2010)
2000 – 2009
- 2009
- [c3]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: 222-229 - [c2]Dan C. Popescu, Andrew D. Hellicar, Yue Li:
Phantom-Based Point Spread Function Estimation for Terahertz Imaging System. ACIVS 2009: 629-639 - 2007
- [c1]Dan C. Popescu, Gregory W. Hislop, Andrew D. Hellicar:
Low-Rank Approximation for Fast Image Acquisition. ACIVS 2007: 242-253
Coauthor Index
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