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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
2272015
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
1502018
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
1242016
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
1112016
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
952021
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
692017
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
542013
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
402020
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
402016
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
402013
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
342022
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
342015
Automated data quality assessment of marine sensors
GP Timms, PA de Souza Jr, L Reznik, DV Smith
Sensors 11 (10), 9589-9602, 2011
302011
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
292022
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
292014
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
292012
A context aware sound classifier applied to prawn feed monitoring and energy disaggregation
DV Smith, MS Shahriar
Knowledge-Based Systems 52, 21-31, 2013
282013
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
282006
MODELLING ACOUSTIC TRANSMISSION LOSS DUE TO SEA ICE COVER.
P Alexander, A Duncan, N Bose, D Smith
Acoustics Australia 41 (1), 2013
272013
Detecting DNS tunneling using ensemble learning
S Shafieian, D Smith, M Zulkernine
Network and System Security: 11th International Conference, NSS 2017 …, 2017
262017
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Articles 1–20