| Dynamic cattle behavioural classification using supervised ensemble classifiers R Dutta, D Smith, R Rawnsley, G Bishop-Hurley, J Hills, G Timms, ... Computers and electronics in agriculture 111, 18-28, 2015 | 258 | 2015 |
| Named entity recognition for question answering D Mollá, M Van Zaanen, D Smith Australasian Language Technology Association Workshop, 51-58, 2006 | 254 | 2006 |
| 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 | 177 | 2018 |
| Time series change point detection with self-supervised contrastive predictive coding S Deldari, DV Smith, H Xue, FD Salim Proceedings of the Web Conference 2021, 3124-3135, 2021 | 151 | 2021 |
| 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 | 141 | 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 | 124 | 2016 |
| 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 | 79 | 2017 |
| Cocoa: Cross modality contrastive learning for sensor data S Deldari, H Xue, A Saeed, DV Smith, FD Salim Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022 | 77 | 2022 |
| The use of passive acoustics to measure feed consumption by Penaeus monodon (giant tiger prawn) in cultured systems DV Smith, S Tabrett Aquacultural engineering 57, 38-47, 2013 | 66 | 2013 |
| Espresso: Entropy and shape aware time-series segmentation for processing heterogeneous sensor data S Deldari, DV Smith, A Sadri, F Salim Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 55 | 2020 |
| Beyond just vision: A review on self-supervised representation learning on multimodal and temporal data S Deldari, H Xue, A Saeed, J He, DV Smith, FD Salim arXiv preprint arXiv:2206.02353, 2022 | 49 | 2022 |
| 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 | 45 | 2016 |
| 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 | 41 | 2013 |
| Bag of class posteriors, a new multivariate time series classifier applied to animal behaviour identification D Smith, R Dutta, A Hellicar, G Bishop-Hurley, R Rawnsley, D Henry, ... Expert Systems with Applications 42 (7), 3774-3784, 2015 | 37 | 2015 |
| An analysis of the effect of diet and genotype on protein and energy utilization by the black tiger shrimp, Penaeus monodon – why do genetically selected shrimp … B Glencross, S Tabrett, S Irvin, N Wade, M Anderson, D Blyth, D Smith, ... Aquaculture Nutrition 19 (2), 128-138, 2013 | 36 | 2013 |
| Inclusion of features derived from a mixture of time window sizes improved classification accuracy of machine learning algorithms for sheep grazing behaviours S Hu, A Ingham, S Schmoelzl, J McNally, B Little, D Smith, ... Computers and Electronics in Agriculture 179, 105857, 2020 | 34 | 2020 |
| Early lessons in deploying cameras and artificial intelligence technology for fisheries catch monitoring: where machine learning meets commercial fishing MR Khokher, LR Little, GN Tuck, DV Smith, M Qiao, C Devine, H O’Neill, ... Canadian Journal of Fisheries and Aquatic Sciences 79 (2), 257-266, 2022 | 33 | 2022 |
| An investigation of cow feeding behavior using motion sensors G Bishop-Hurley, D Henry, D Smith, R Dutta, J Hills, R Rawnsley, ... 2014 IEEE International Instrumentation and Measurement Technology …, 2014 | 32 | 2014 |
| A Bayesian framework for the automated online assessment of sensor data quality D Smith, G Timms, P De Souza, C D'Este Sensors 12 (7), 9476-9501, 2012 | 32 | 2012 |
| A context aware sound classifier applied to prawn feed monitoring and energy disaggregation DV Smith, MS Shahriar Knowledge-Based Systems 52, 21-31, 2013 | 30 | 2013 |
Ashfaqur RahmanGroup Leader and Principal Research Scientist, Data61, CSIRO, Senior Member, IEEEZweryfikowany adres z csiro.au
