Daniel V. Smith

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 27

Top Topics

Supervised Learning

Ensemble Classifier

Top Venues

Comput. Electron. Agric.

Publications

Mashud Rana, Ashfaqur Rahman, Daniel V. Smith
A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data. CoRR (2023)
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 (2022)
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) (2022)
Shohreh Deldari, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim
COCOA: Cross Modality Contrastive Learning for Sensor Data. CoRR (2022)
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 (2022)
Shohreh Deldari, Daniel V. Smith, Hao Xue, Flora D. Salim
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding. WWW (2021)
Shohreh Deldari, Daniel V. Smith, Hao Xue, Flora D. Salim
Time-series Change Point Detection with Self-Supervised Contrastive Predictive Coding. CoRR (2020)
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) (2020)
Shohreh Deldari, Daniel V. Smith, Amin Sadri, Flora D. Salim
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data. CoRR (2020)
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)
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)
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)
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 (2016)
Jean-Marc Valin, Daniel V. Smith, Christopher Montgomery, Timothy B. Terriberry
Low-Complexity Iterative Sinusoidal Parameter Estimation. CoRR (2016)
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 (2016)
Jean-Marc Valin, Daniel V. Smith, Christopher Montgomery, Timothy B. Terriberry
An Iterative Linearised Solution to the Sinusoidal Parameter Estimation Problem. CoRR (2016)
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)
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)
Andreas Duenser, Lauren Ward, Alessandro Stefani, Daniel V. Smith, Jill Freyne, Angela Morgan, Barbara Dodd
Feasibility of Technology Enabled Speech Disorder Screening. HIC (2016)
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) (2015)
Cecil Li, Ritaban Dutta, Daniel V. Smith, Aruneema Das, Jagannath Aryal
Farm biosecurity hot spots prediction using big data analytics. ICDE Workshops (2015)
Andrew D. Hellicar, Ashfaqur Rahman, Daniel V. Smith, John M. Henshall
Machine learning approach for pooled DNA sample calibration. BMC Bioinform. 16 (2015)
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)
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 (2015)
Ritaban Dutta, Cecil Li, Daniel V. Smith, Aruneema Das, Jagannath Aryal
Big Data Architecture for Environmental Analytics. ISESS (2015)
Claire D'Este, Brett Seton, John McCulloch, Daniel V. Smith, Chris Sharman
Avoiding Marine Vehicles with Passive Acoustics. J. Field Robotics 32 (1) (2015)
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 (2015)
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)
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)
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)
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)
Ashfaqur Rahman, Daniel V. Smith, Greg P. Timms
Multiple classifier system for automated quality assessment of marine sensor data. ISSNIP (2013)
Ritaban Dutta, Daniel V. Smith, Greg P. Timms
Dynamic annotation and visualisation of the South Esk hydrological sensor web. ISSNIP (2013)
Md. Sumon Shahriar, Ashfaqur Rahman, Daniel V. Smith
Applying context in appliance load identification. ICNC (2013)
Ashfaqur Rahman, Ritaban Dutta, Daniel V. Smith
Exploring mineral domains with genetic algorithm. IJCNN (2013)
Daniel V. Smith, Md. Sumon Shahriar
A context aware sound classifier applied to prawn feed monitoring and energy disaggregation. Knowl. Based Syst. 52 (2013)
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) (2012)
Greg P. Timms, Paulo A. de Souza, Leon Reznik, Daniel V. Smith
Automated Data Quality Assessment of Marine Sensors. Sensors 11 (10) (2011)
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) (2010)
Quan Bai, Siddeswara Mayura Guru, Daniel V. Smith, Qing Liu, Andrew Terhorst
A Multi-Agent View of the Sensor Web. PRIMA Workshops (2009)
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)
Daniel V. Smith, Matthew Dunbabin
Automated Counting of the Northern Pacific Sea Star in the Derwent Using Shape Recognition. DICTA (2007)
Daniel V. Smith, Jason Lukasiak, Ian S. Burnett
An analysis of the limitations of blind signal separation application with speech. Signal Process. 86 (2) (2006)
Daniel V. Smith, Ian S. Burnett
Blind Separation of Speech with a Switched Sparsity and Temporal Criteria. MMSP (2006)
Daniel V. Smith, Jason Lukasiak, Ian S. Burnett
A Sequential Approach to Sparse Component Analysis. MMSP (2005)
Daniel V. Smith, Jason Lukasiak, Ian S. Burnett
Blind speech separation using a joint model of speech production. IEEE Signal Process. Lett. 12 (11) (2005)
Daniel V. Smith, Jason Lukasiak, Ian S. Burnett
An investigation of temporal modeling in blind signal separation. ISSPA (2005)
Daniel V. Smith, Jason Lukasiak, Ian S. Burnett
A two channel, block-adaptive audio separation technique based upon time-frequency information. EUSIPCO (2004)
Daniel V. Smith, Jason Lukasiak, Ian S. Burnett
Two Channel, Block Adaptive Audio Separation Using the Cross Correlation of Time Frequency Information. ICA (2004)