A two channel, block-adaptive audio separation technique based upon time-frequency information. - Daniel V. Smith; Jason Lukasiak; Ian S. Burnett (EUSIPCO, 2004)

Two Channel, Block Adaptive Audio Separation Using the Cross Correlation of Time Frequency Information. - Daniel V. Smith; Jason Lukasiak; Ian S. Burnett (ICA, 2004)

An investigation of temporal modeling in blind signal separation. - Daniel V. Smith; Jason Lukasiak; Ian S. Burnett (ISSPA, 2005)

A Sequential Approach to Sparse Component Analysis. - Daniel V. Smith; Jason Lukasiak; Ian S. Burnett (MMSP, 2005)

Blind speech separation using a joint model of speech production. - Daniel V. Smith; Jason Lukasiak; Ian S. Burnett (IEEE Signal Process. Lett., 2005)

Blind Separation of Speech with a Switched Sparsity and Temporal Criteria. - Daniel V. Smith; Ian S. Burnett (MMSP, 2006)

An analysis of the limitations of blind signal separation application with speech. - Daniel V. Smith; Jason Lukasiak; Ian S. Burnett (Signal Process., 2006)

Automated Counting of the Northern Pacific Sea Star in the Derwent Using Shape Recognition. - Daniel V. Smith; Matthew Dunbabin (DICTA, 2007)

Hydrological Sensor Web for the South Esk Catchment in the Tasmanian state of Australia. - Siddeswara Mayura Guru; Peter Taylor; Holger Neuhaus; Yanfeng Shu; Daniel V. Smith; Andrew Terhorst (eScience, 2008)

A Multi-Agent View of the Sensor Web. - Quan Bai 001; Siddeswara Mayura Guru; Daniel V. Smith; Qing Liu 001; Andrew Terhorst (PRIMA Workshops, 2009)

An iterative linearised solution to the sinusoidal parameter estimation problem. - Jean-Marc Valin; Daniel V. Smith; Christopher Montgomery; Timothy B. Terriberry (Comput. Electr. Eng., 2010)

Automated Data Quality Assessment of Marine Sensors. - Greg P. Timms; Paulo A. de Souza; Leon Reznik; Daniel V. Smith (Sensors, 2011)

A Bayesian Framework for the Automated Online Assessment of Sensor Data Quality. - Daniel V. Smith; Greg P. Timms; Paulo A. de Souza; Claire D'Este (Sensors, 2012)

Applying context in appliance load identification. - Md. Sumon Shahriar; Ashfaqur Rahman; Daniel V. Smith (ICNC, 2013)

Exploring mineral domains with genetic algorithm. - Ashfaqur Rahman; Ritaban Dutta; Daniel V. Smith (IJCNN, 2013)

Dynamic annotation and visualisation of the South Esk hydrological sensor web. - Ritaban Dutta; Daniel V. Smith; Greg P. Timms (ISSNIP, 2013)

Multiple classifier system for automated quality assessment of marine sensor data. - Ashfaqur Rahman; Daniel V. Smith; Greg P. Timms (ISSNIP, 2013)

A context aware sound classifier applied to prawn feed monitoring and energy disaggregation. - Daniel V. Smith; Md. Sumon Shahriar (Knowl. Based Syst., 2013)

An investigation of cow feeding behavior using motion sensors. - Greg Bishop-Hurley; Dave Henry 002; Daniel V. Smith; Ritaban Dutta; James Hills; Richard Rawnsley; Andrew D. Hellicar; Greg P. Timms; Ahsan Morshed; Ashfaqur Rahman; Claire D'Este; Yanfeng Shu (I2MTC, 2014)

Autonomous Framework for Sensor Network Quality Annotation: Maximum Probability Clustering Approach. - Ritaban Dutta; Aruneema Das; Daniel V. Smith; Jagannath Aryal; Ahsan Morshed; Andrew Terhorst (ICCS, 2014)

A neural network and SOM based approach to analyse periodic signals: Application to Oyster heart-rate data. - Andrew D. Hellicar; Ashfaqur Rahman; Daniel V. Smith; Greg Smith; John McCulloch (IJCNN, 2014)

A hierarchical learning approach to calibrate allele frequencies for SNP based genotyping of DNA pools. - Andrew D. Hellicar; Daniel V. Smith; Ashfaqur Rahman; Ulrich Engelke; John M. Henshall (IJCNN, 2014)

Farm biosecurity hot spots prediction using big data analytics. - Cecil Li; Ritaban Dutta; Daniel V. Smith; Aruneema Das; Jagannath Aryal (ICDE Workshops, 2015)

Big Data Architecture for Environmental Analytics. - Ritaban Dutta; Cecil Li; Daniel V. Smith; Aruneema Das; Jagannath Aryal (ISESS, 2015)

Interactive Visual Big Data Analytics for Large Area Farm Biosecurity Monitoring: i-EKbase System. - Ritaban Dutta; Heiko Mueller 001; Daniel V. Smith; Aruneema Das; Jagannath Aryal (BigMine, 2015)

Machine learning approach for pooled DNA sample calibration. - Andrew D. Hellicar; Ashfaqur Rahman; Daniel V. Smith; John M. Henshall (BMC Bioinform., 2015)

Allele frequency calibration for SNP based genotyping of DNA pools: A regression based local-global error fusion method. - Ashfaqur Rahman; Andrew D. Hellicar; Daniel V. Smith; John M. Henshall (Comput. Biol. Medicine, 2015)

Dynamic cattle behavioural classification using supervised ensemble classifiers. - Ritaban Dutta; Daniel V. Smith; Richard Rawnsley; Greg Bishop-Hurley; James Hills; Greg P. Timms; David Henry 002 (Comput. Electron. Agric., 2015)

Bag of Class Posteriors, a new multivariate time series classifier applied to animal behaviour identification. - Daniel V. Smith; Ritaban Dutta; Andrew D. Hellicar; Greg Bishop-Hurley; Richard Rawnsley; David Henry 002; James Hills; Greg P. Timms (Expert Syst. Appl., 2015)

Avoiding Marine Vehicles with Passive Acoustics. - Claire D'Este; Brett Seton; John McCulloch; Daniel V. Smith; Chris Sharman (J. Field Robotics, 2015)

Feasibility of Technology Enabled Speech Disorder Screening. - Andreas Duenser; Lauren Ward; Alessandro Stefani; Daniel V. Smith; Jill Freyne; Angela Morgan; Barbara Dodd (HIC, 2016)

A comparison of autoencoder and statistical features for cattle behaviour classification. - Ashfaqur Rahman; Daniel V. Smith; James Hills; Greg Bishop-Hurley; David Henry 002; Richard Rawnsley (IJCNN, 2016)

Automated Screening of Speech Development Issues in Children by Identifying Phonological Error Patterns. - Lauren Ward; Alessandro Stefani; Daniel V. Smith; Andreas Duenser; Jill Freyne; Barbara Dodd; Angela Morgan (INTERSPEECH, 2016)

Detecting heat events in dairy cows using accelerometers and unsupervised learning. - Md. Sumon Shahriar; Daniel V. Smith; Ashfaqur Rahman; Mark Freeman 003; James Hills; Richard Rawnsley; David Henry 002; Greg Bishop-Hurley (Comput. Electron. Agric., 2016)

Behavior classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems. - Daniel V. Smith; Ashfaqur Rahman; Greg Bishop-Hurley; James Hills; Md. Sumon Shahriar; David Henry 002; Richard Rawnsley (Comput. Electron. Agric., 2016)

Low-Complexity Iterative Sinusoidal Parameter Estimation. - Jean-Marc Valin; Daniel V. Smith; Christopher Montgomery; Timothy B. Terriberry (CoRR, 2016)

Improving Child Speech Disorder Assessment by Incorporating Out-of-Domain Adult Speech. - Daniel V. Smith; Alex Sneddon; Lauren Ward; Andreas Duenser; Jill Freyne; David Silvera-Tawil; Angela Morgan (INTERSPEECH, 2017)

Engaging assessments: interface design of a referral support tool for adults and children. - Andreas Duenser; Daniel V. Smith; Jill Freyne; Elizabeth Gilleran; Kristy de Salas; Hilary Cinis (OZCHI, 2018)

Automatic Screening Of Children With Speech Sound Disorders Using Paralinguistic Features. - Mostafa Ali Shahin; Beena Ahmed; Daniel V. Smith; Andreas Duenser; Julien Epps (MLSP, 2019)

ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for Processing Heterogeneous Sensor Data. - Shohreh Deldari; Daniel V. Smith; Amin Sadri; Flora D. Salim (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding. - Shohreh Deldari; Daniel V. Smith; Hao Xue 001; Flora D. Salim (WWW, 2021)

Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data. - Shohreh Deldari; Hao Xue 001; Aaqib Saeed; Jiayuan He 002; Daniel V. Smith; Flora D. Salim (CoRR, 2022)

Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective. - Peter Baumgartner 001; Daniel V. Smith; Mashud Rana; Reena Kapoor; Elena Tartaglia; Andreas Schutt; Ashfaqur Rahman; John A. Taylor; Simon Dunstall (CoRR, 2022)

COCOA: Cross Modality Contrastive Learning for Sensor Data. - Shohreh Deldari; Hao Xue 001; Aaqib Saeed; Daniel V. Smith; Flora D. Salim (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data. - Mashud Rana; Ashfaqur Rahman; Daniel V. Smith (CoRR, 2023)

Hierarchical Semi-Supervised Approach for Classifying Activities of Workers Utilising Indoor Trajectory Data. - Mashud Rana; Ashfaqur Rahman; Daniel V. Smith (Internet Things, 2024)