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ORCIDDaniel V. Smith
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- affiliation: Commonwealth Science and Industrial Research Organisation (CSIRO), Tasmanian ICT Centre
- affiliation: University of Wollongong, Whisper Laboratories
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Journal Articles
- 2022
[j15]Shohreh Deldari
, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim:
COCOA: Cross Modality Contrastive Learning for Sensor Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 108:1-108:28 (2022)- 2020
- [j14]Shohreh Deldari, Daniel V. Smith, Amin Sadri, Flora D. Salim:
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for Processing Heterogeneous Sensor Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 77:1-77:24 (2020) - 2016
- [j13]Md. Sumon Shahriar, Daniel V. Smith, Ashfaqur Rahman, Mark Freeman, James Hills, Richard Rawnsley, David Henry, Greg Bishop-Hurley:
Detecting heat events in dairy cows using accelerometers and unsupervised learning. Comput. Electron. Agric. 128: 20-26 (2016) - [j12]Daniel V. Smith, Ashfaqur Rahman, Greg Bishop-Hurley, James Hills, Md. Sumon Shahriar, David Henry, Richard Rawnsley:
Behavior classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems. Comput. Electron. Agric. 131: 40-50 (2016) - 2015
- [j11]Andrew D. Hellicar, Ashfaqur Rahman, Daniel V. Smith, John M. Henshall:
Machine learning approach for pooled DNA sample calibration. BMC Bioinform. 16: 214:1-214:11 (2015) - [j10]Ashfaqur Rahman, Andrew D. Hellicar, Daniel V. Smith, John M. Henshall:
Allele frequency calibration for SNP based genotyping of DNA pools: A regression based local-global error fusion method. Comput. Biol. Medicine 61: 48-55 (2015) - [j9]Ritaban Dutta, Daniel V. Smith, Richard Rawnsley, Greg Bishop-Hurley, James Hills, Greg P. Timms, David Henry:
Dynamic cattle behavioural classification using supervised ensemble classifiers. Comput. Electron. Agric. 111: 18-28 (2015) - [j8]Daniel V. Smith, Ritaban Dutta, Andrew D. Hellicar, Greg Bishop-Hurley, Richard Rawnsley, David Henry, James Hills, Greg P. Timms:
Bag of Class Posteriors, a new multivariate time series classifier applied to animal behaviour identification. Expert Syst. Appl. 42(7): 3774-3784 (2015) - [j7]Claire D'Este, Brett Seton, John McCulloch, Daniel V. Smith, Chris Sharman:
Avoiding Marine Vehicles with Passive Acoustics. J. Field Robotics 32(1): 152-166 (2015) - 2013
- [j6]Daniel V. Smith, Md. Sumon Shahriar:
A context aware sound classifier applied to prawn feed monitoring and energy disaggregation. Knowl. Based Syst. 52: 21-31 (2013) - 2012
- [j5]Daniel V. Smith, Greg P. Timms, Paulo A. de Souza, Claire D'Este:
A Bayesian Framework for the Automated Online Assessment of Sensor Data Quality. Sensors 12(7): 9476-9501 (2012) - 2011
- [j4]Greg P. Timms, Paulo A. de Souza, Leon Reznik, Daniel V. Smith:
Automated Data Quality Assessment of Marine Sensors. Sensors 11(10): 9589-9602 (2011) - 2010
- [j3]Jean-Marc Valin, Daniel V. Smith, Christopher Montgomery, Timothy B. Terriberry:
An iterative linearised solution to the sinusoidal parameter estimation problem. Comput. Electr. Eng. 36(4): 603-616 (2010) - 2006
- [j2]Daniel V. Smith, Jason Lukasiak, Ian S. Burnett:
An analysis of the limitations of blind signal separation application with speech. Signal Process. 86(2): 353-359 (2006) - 2005
- [j1]Daniel V. Smith, Jason Lukasiak, Ian S. Burnett:
Blind speech separation using a joint model of speech production. IEEE Signal Process. Lett. 12(11): 784-787 (2005)
Conference and Workshop Papers
- 2021
- [c26]Shohreh Deldari, Daniel V. Smith, Hao Xue, Flora D. Salim:
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding. WWW 2021: 3124-3135 - 2019
- [c25]Mostafa Ali Shahin, Beena Ahmed, Daniel V. Smith, Andreas Duenser, Julien Epps:
Automatic Screening Of Children With Speech Sound Disorders Using Paralinguistic Features. MLSP 2019: 1-5 - 2018
- [c24]Andreas Duenser, Daniel V. Smith, Jill Freyne, Elizabeth Gilleran, Kristy de Salas, Hilary Cinis:
Engaging assessments: interface design of a referral support tool for adults and children. OZCHI 2018: 42-52 - 2017
- [c23]Daniel V. Smith, Alex Sneddon, Lauren Ward, Andreas Duenser, Jill Freyne, David Silvera-Tawil, Angela Morgan:
Improving Child Speech Disorder Assessment by Incorporating Out-of-Domain Adult Speech. INTERSPEECH 2017: 2690-2694 - 2016
- [c22]Andreas Duenser, Lauren Ward, Alessandro Stefani, Daniel V. Smith, Jill Freyne, Angela Morgan, Barbara Dodd:
Feasibility of Technology Enabled Speech Disorder Screening. HIC 2016: 21-27 - [c21]Ashfaqur Rahman, Daniel V. Smith, James Hills, Greg Bishop-Hurley, David Henry, Richard Rawnsley:
A comparison of autoencoder and statistical features for cattle behaviour classification. IJCNN 2016: 2954-2960 - [c20]Lauren Ward, Alessandro Stefani, Daniel V. Smith, Andreas Duenser, Jill Freyne, Barbara Dodd, Angela Morgan:
Automated Screening of Speech Development Issues in Children by Identifying Phonological Error Patterns. INTERSPEECH 2016: 2661-2665 - 2015
- [c19]Cecil Li, Ritaban Dutta, Daniel V. Smith, Aruneema Das, Jagannath Aryal:
Farm biosecurity hot spots prediction using big data analytics. ICDE Workshops 2015: 101-104 - [c18]Ritaban Dutta, Cecil Li, Daniel V. Smith, Aruneema Das, Jagannath Aryal:
Big Data Architecture for Environmental Analytics. ISESS 2015: 578-588 - [c17]Ritaban Dutta, Heiko Mueller, Daniel V. Smith, Aruneema Das, Jagannath Aryal:
Interactive Visual Big Data Analytics for Large Area Farm Biosecurity Monitoring: i-EKbase System. BigMine 2015: 9-18 - 2014
- [c16]Greg Bishop-Hurley, Dave Henry, Daniel V. Smith, Ritaban Dutta, James Hills, Richard Rawnsley, Andrew D. Hellicar, Greg P. Timms, Ahsan Morshed, Ashfaqur Rahman, Claire D'Este, Yanfeng Shu:
An investigation of cow feeding behavior using motion sensors. I2MTC 2014: 1285-1290 - [c15]Ritaban Dutta, Aruneema Das, Daniel V. Smith, Jagannath Aryal, Ahsan Morshed, Andrew Terhorst:
Autonomous Framework for Sensor Network Quality Annotation: Maximum Probability Clustering Approach. ICCS 2014: 2201-2207 - [c14]Andrew D. Hellicar, Daniel V. Smith, Ashfaqur Rahman, Ulrich Engelke, John M. Henshall:
A hierarchical learning approach to calibrate allele frequencies for SNP based genotyping of DNA pools. IJCNN 2014: 183-189 - [c13]Andrew D. Hellicar, Ashfaqur Rahman, Daniel V. Smith, Greg Smith, John McCulloch:
A neural network and SOM based approach to analyse periodic signals: Application to Oyster heart-rate data. IJCNN 2014: 2211-2217 - 2013
- [c12]Md. Sumon Shahriar, Ashfaqur Rahman, Daniel V. Smith:
Applying context in appliance load identification. ICNC 2013: 900-905 - [c11]Ashfaqur Rahman, Ritaban Dutta, Daniel V. Smith:
Exploring mineral domains with genetic algorithm. IJCNN 2013: 1-8 - [c10]Ritaban Dutta, Daniel V. Smith, Greg P. Timms:
Dynamic annotation and visualisation of the South Esk hydrological sensor web. ISSNIP 2013: 105-110 - [c9]Ashfaqur Rahman, Daniel V. Smith, Greg P. Timms:
Multiple classifier system for automated quality assessment of marine sensor data. ISSNIP 2013: 362-367 - 2009
- [c8]Quan Bai, Siddeswara Mayura Guru, Daniel V. Smith, Qing Liu, Andrew Terhorst:
A Multi-Agent View of the Sensor Web. PRIMA Workshops 2009: 435-444 - 2008
- [c7]Siddeswara Mayura Guru, Peter Taylor, Holger Neuhaus, Yanfeng Shu, Daniel V. Smith, Andrew Terhorst:
Hydrological Sensor Web for the South Esk Catchment in the Tasmanian state of Australia. eScience 2008: 432-433 - 2007
- [c6]Daniel V. Smith, Matthew Dunbabin:
Automated Counting of the Northern Pacific Sea Star in the Derwent Using Shape Recognition. DICTA 2007: 500-507 - 2006
- [c5]Daniel V. Smith, Ian S. Burnett:
Blind Separation of Speech with a Switched Sparsity and Temporal Criteria. MMSP 2006: 136-140 - 2005
- [c4]Daniel V. Smith, Jason Lukasiak, Ian S. Burnett:
An investigation of temporal modeling in blind signal separation. ISSPA 2005: 503-506 - [c3]Daniel V. Smith, Jason Lukasiak, Ian S. Burnett:
A Sequential Approach to Sparse Component Analysis. MMSP 2005: 1-4 - 2004
- [c2]Daniel V. Smith, Jason Lukasiak, Ian S. Burnett:
A two channel, block-adaptive audio separation technique based upon time-frequency information. EUSIPCO 2004: 393-396 - [c1]Daniel V. Smith, Jason Lukasiak, Ian S. Burnett:
Two Channel, Block Adaptive Audio Separation Using the Cross Correlation of Time Frequency Information. ICA 2004: 889-897
Informal and Other Publications
- 2023
- [i8]Mashud Rana, Ashfaqur Rahman, Daniel V. Smith:
A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data. CoRR abs/2301.03134 (2023) - 2022
- [i7]Shohreh Deldari, Hao Xue, Aaqib Saeed, Jiayuan He, Daniel V. Smith, Flora D. Salim:
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data. CoRR abs/2206.02353 (2022) - [i6]Shohreh Deldari, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim:
COCOA: Cross Modality Contrastive Learning for Sensor Data. CoRR abs/2208.00467 (2022) - [i5]Peter Baumgartner, Daniel V. Smith, Mashud Rana, Reena Kapoor, Elena Tartaglia, Andreas Schutt, Ashfaqur Rahman, John Taylor, Simon Dunstall:
Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective. CoRR abs/2210.01344 (2022) - 2020
- [i4]Shohreh Deldari, Daniel V. Smith, Amin Sadri, Flora D. Salim:
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data. CoRR abs/2008.03230 (2020) - [i3]Shohreh Deldari, Daniel V. Smith, Hao Xue, Flora D. Salim:
Time-series Change Point Detection with Self-Supervised Contrastive Predictive Coding. CoRR abs/2011.14097 (2020) - 2016
- [i2]Jean-Marc Valin, Daniel V. Smith, Christopher Montgomery, Timothy B. Terriberry:
An Iterative Linearised Solution to the Sinusoidal Parameter Estimation Problem. CoRR abs/1602.05900 (2016) - [i1]Jean-Marc Valin, Daniel V. Smith, Christopher Montgomery, Timothy B. Terriberry:
Low-Complexity Iterative Sinusoidal Parameter Estimation. CoRR abs/1603.01824 (2016)
Coauthor Index
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