Ashfaqur Rahman
Ashfaqur Rahman
Team Leader and Principal Research Scientist, Data61, CSIRO, Senior Member, IEEE
Verified email at - Homepage
TitleCited byYear
Cluster-oriented ensemble classifier: Impact of multicluster characterization on ensemble classifier learning
B Verma, A Rahman
IEEE Transactions on knowledge and data engineering 24 (4), 605-618, 2011
Novel layered clustering-based approach for generating ensemble of classifiers
A Rahman, B Verma
IEEE Transactions on Neural Networks 22 (5), 781-792, 2011
Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm
A Rahman, B Verma
Knowledge-Based Systems 43, 30-42, 2013
Efficient orthogonal parametrisation of recurrent neural networks using householder reflections
Z Mhammedi, A Hellicar, A Rahman, J Bailey
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
Design and evaluation of a metropolitan air pollution sensing system
K Hu, V Sivaraman, BG Luxan, A Rahman
IEEE Sensors Journal 16 (5), 1448-1459, 2015
Behavior classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems
D Smith, A Rahman, GJ Bishop-Hurley, J Hills, S Shahriar, D Henry, ...
Computers and Electronics in Agriculture 131, 40-50, 2016
Detecting heat events in dairy cows using accelerometers and unsupervised learning
MS Shahriar, D Smith, A Rahman, M Freeman, J Hills, R Rawnsley, ...
Computers and Electronics in Agriculture 128, 20-26, 2016
Cluster‐based ensemble of classifiers
A Rahman, B Verma
Expert Systems 30 (3), 270-282, 2013
HazeEst: machine learning based metropolitan air pollution estimation from fixed and mobile sensors
K Hu, A Rahman, H Bhrugubanda, V Sivaraman
IEEE Sensors Journal 17 (11), 3517-3525, 2017
Real-time temporal texture characterisation using block-based motion co-occurrence statistics
A Rahman, M Murshed
2004 International Conference on Image Processing, 2004. ICIP'04. 3, 1593-1596, 2004
Effect of ensemble classifier composition on offline cursive character recognition
A Rahman, B Verma
Information Processing & Management 49 (4), 852-864, 2013
Feature weighting methods for abstract features applicable to motion based video indexing
A Rahman, M Murshed, LS Dooley
International Conference on Information Technology: Coding and Computing …, 2004
A cloud robotics framework of optimal task offloading for smart city applications
A Rahman, J Jin, A Cricenti, A Rahman, D Yuan
2016 IEEE Global Communications Conference (GLOBECOM), 1-7, 2016
An image based approach to compute object distance
A Rahman, A Salam, M Islam, P Sarker
International Journal of Computational Intelligence Systems 1 (4), 304-312, 2008
Cattle behaviour classification from collar, halter, and ear tag sensors
A Rahman, DV Smith, B Little, AB Ingham, PL Greenwood, ...
Information processing in agriculture 5 (1), 124-133, 2018
Use of sensor-determined behaviours to develop algorithms for pasture intake by individual grazing cattle
PL Greenwood, DR Paull, J McNally, T Kalinowski, D Ebert, B Little, ...
Crop and Pasture Science 68 (12), 1091-1099, 2018
A novel machine learning approach toward quality assessment of sensor data
A Rahman, DV Smith, G Timms
IEEE Sensors Journal 14 (4), 1035-1047, 2013
Detection of multiple dynamic textures using feature space mapping
A Rahman, M Murshed
IEEE Transactions on Circuits and Systems for Video Technology 19 (5), 766-771, 2009
A temporal texture characterization technique using block-based approximated motion measure
A Rahman, M Murshed
IEEE Transactions on Circuits and Systems for Video Technology 17 (10), 1370 …, 2007
Personalising pollution exposure estimates using wearable activity sensors
K Hu, Y Wang, A Rahman, V Sivaraman
2014 IEEE ninth international conference on intelligent sensors, sensor …, 2014
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