Daniel Smith
Daniel Smith
Commonwealth Science and Industrial Research Organisation (CSIRO)
Verified email at csiro.au
Title
Cited by
Cited by
Year
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
1002015
Named entity recognition for question answering
D Mollį, M Van Zaanen, D Smith
Carlton, Vic: Australasian Language Technology Association, 2006
932006
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
462016
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
452018
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
422016
An analysis of the limitations of blind signal separation application with speech
D Smith, J Lukasiak, IS Burnett
Signal Processing 86 (2), 353-359, 2006
292006
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
252018
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
242015
Hydrological sensor web for the South Esk catchment in the Tasmanian state of Australia
SM Guru, P Taylor, H Neuhaus, Y Shu, D Smith, A Terhorst
2008 IEEE Fourth International Conference on eScience, 432-433, 2008
222008
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
212013
Automated data quality assessment of marine sensors
GP Timms, PA De Souza, L Reznik, DV Smith
Sensors 11 (10), 9589-9602, 2011
212011
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
202016
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
202012
MODELLING ACOUSTIC TRANSMISSION LOSS DUE TO SEA ICE COVER.
P Alexander, A Duncan, N Bose, D Smith
Acoustics Australia 41 (1), 2013
192013
Blind speech separation using a joint model of speech production
D Smith, J Lukasiak, I Burnett
IEEE Signal Processing Letters 12 (11), 784-787, 2005
192005
Automated screening of speech development issues in children by identifying phonological error patterns
L Ward, A Stefani, D Smith, A Duenser, J Freyne, B Dodd, A Morgan
17th Annual Conference of the International Speech Communication Association …, 2016
142016
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
142014
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
142013
Machine learning approaches for soil classification in a multi-agent deficit irrigation control system
D Smith, W Peng
2009 IEEE International conference on industrial technology, 1-6, 2009
142009
Automated counting of the northern pacific sea star in the derwent using shape recognition
D Smith, M Dunbabin
9th Biennial Conference of the Australian Pattern Recognition Society on …, 2007
142007
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Articles 1–20