| Efficient orthogonal parametrisation of recurrent neural networks using householder reflections Z Mhammedi, A Hellicar, A Rahman, J Bailey International Conference on Machine Learning, 2401-2409, 2017 | 121 | 2017 |
| 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 | 105 | 2018 |
| 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 | 99 | 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 | 95 | 2011 |
| 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 | 87 | 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 | 79 | 2016 |
| 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 | 73 | 2015 |
| 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 | 71 | 2017 |
| Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm A Rahman, B Verma Knowledge-Based Systems 43, 30-42, 2013 | 65 | 2013 |
| Multi-objective resource allocation for Edge Cloud based robotic workflow in smart factory M Afrin, J Jin, A Rahman, YC Tian, A Kulkarni Future Generation Computer Systems 97, 119-130, 2019 | 60 | 2019 |
| 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, 2017 | 51 | 2017 |
| Multiple steps ahead solar photovoltaic power forecasting based on univariate machine learning models and data re-sampling M Rana, A Rahman Sustainable Energy, Grids and Networks 21, 100286, 2020 | 38 | 2020 |
| 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 | 36 | 2016 |
| Air pollution exposure estimation and finding association with human activity using wearable sensor network K Hu, T Davison, A Rahman, V Sivaraman Proceedings of the MLSDA 2014 2nd workshop on machine learning for sensory …, 2014 | 35 | 2014 |
| Communication-aware cloud robotic task offloading with on-demand mobility for smart factory maintenance A Rahman, J Jin, AL Cricenti, A Rahman, A Kulkarni IEEE Transactions on Industrial Informatics 15 (5), 2500-2511, 2018 | 33 | 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 | 33 | 2013 |
| Effect of ensemble classifier composition on offline cursive character recognition A Rahman, B Verma Information Processing & Management 49 (4), 852-864, 2013 | 32 | 2013 |
| 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 | 32 | 2008 |
| Dissolved oxygen prediction in prawn ponds from a group of one step predictors A Rahman, J Dabrowski, J McCulloch Information Processing in Agriculture 7 (2), 307-317, 2020 | 30 | 2020 |
| A comparison of autoencoder and statistical features for cattle behaviour classification A Rahman, D Smith, J Hills, G Bishop-Hurley, D Henry, R Rawnsley 2016 international joint conference on neural networks (IJCNN), 2954-2960, 2016 | 30 | 2016 |
Daniel SmithCommonwealth Science and Industrial Research Organisation (CSIRO)Verified email at csiro.au
