Andrew D. Hellicar

According to our database, Andrew D. Hellicar authored at least 15 papers between 2007 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Deep Learning for Prawn Farming - Forecasting and Anomaly Detection.

Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2020

Investigating data-driven approaches to understand the interaction between water quality and physiological response of sentinel oysters in natural environment.

Mashud Rana, Ashfaqur Rahman, Daniel Hugo, John McCulloch, Andrew D. Hellicar

Comput. Electron. Agric., 2020

2017

Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections.

Zakaria Mhammedi, Andrew D. Hellicar, Ashfaqur Rahman, James Bailey

Proceedings of the 34th International Conference on Machine Learning, 2017

2015

Bag of Class Posteriors, a new multivariate time series classifier applied to animal behaviour identification.

Daniel V. Smith, Ritaban Dutta, Andrew D. Hellicar, Greg Bishop-Hurley, Richard Rawnsley, David Henry, James Hills, Greg P. Timms

Expert Syst. Appl., 2015

Allele frequency calibration for SNP based genotyping of DNA pools: A regression based local-global error fusion method.

Ashfaqur Rahman, Andrew D. Hellicar, Daniel V. Smith, John M. Henshall

Comput. Biol. Medicine, 2015

Machine learning approach for pooled DNA sample calibration.

Andrew D. Hellicar, Ashfaqur Rahman, Daniel V. Smith, John M. Henshall

BMC Bioinform., 2015

2014

A hierarchical learning approach to calibrate allele frequencies for SNP based genotyping of DNA pools.

Andrew D. Hellicar, Daniel V. Smith, Ashfaqur Rahman, Ulrich Engelke, John M. Henshall

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A neural network and SOM based approach to analyse periodic signals: Application to Oyster heart-rate data.

Andrew D. Hellicar, Ashfaqur Rahman, Daniel V. Smith, Greg Smith, John McCulloch

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An investigation of cow feeding behavior using motion sensors.

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

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2014

Identification of mature grape bunches using image processing and computational intelligence methods.

Ashfaqur Rahman, Andrew D. Hellicar

Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, 2014

2010

Design and testing of an active 190-GHz millimeter-wave imager.

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

J. Electronic Imaging, 2010

Point Spread Function Estimation for a Terahertz Imaging System.

Dan C. Popescu, Andrew D. Hellicar

EURASIP J. Adv. Signal Process., 2010

2009

Phantom-Based Point Spread Function Estimation for Terahertz Imaging System.

Dan C. Popescu, Andrew D. Hellicar, Yue Li

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2009

A Performance Comparison of De-convolution Algorithms on Transmission Terahertz Images.

Yue Li, Li Li, Juan Y. Tello, Dan C. Popescu, Andrew D. Hellicar

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2009

2007

Low-Rank Approximation for Fast Image Acquisition.

Dan C. Popescu, Gregory W. Hislop, Andrew D. Hellicar

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2007