Daniel V. Smith

According to our database, Daniel V. Smith authored at least 46 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hierarchical Semi-Supervised Approach for Classifying Activities of Workers Utilising Indoor Trajectory Data.

Mashud Rana, Ashfaqur Rahman, Daniel V. Smith

Internet Things, 2024

2023

A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data.

Mashud Rana, Ashfaqur Rahman, Daniel V. Smith

CoRR, 2023

2022

COCOA: Cross Modality Contrastive Learning for Sensor Data.

Shohreh Deldari, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective.

Peter Baumgartner, Daniel V. Smith, Mashud Rana, Reena Kapoor, Elena Tartaglia, Andreas Schutt, Ashfaqur Rahman, John Taylor, Simon Dunstall

CoRR, 2022

Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data.

Shohreh Deldari, Hao Xue, Aaqib Saeed, Jiayuan He, Daniel V. Smith, Flora D. Salim

CoRR, 2022

2021

Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding.

Shohreh Deldari, Daniel V. Smith, Hao Xue, Flora D. Salim

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

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

2019

Automatic Screening Of Children With Speech Sound Disorders Using Paralinguistic Features.

Mostafa Ali Shahin, Beena Ahmed, Daniel V. Smith, Andreas Duenser, Julien Epps

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

2018

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

Proceedings of the 30th Australian Conference on Computer-Human Interaction, 2018

2017

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

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2016

Low-Complexity Iterative Sinusoidal Parameter Estimation.

Jean-Marc Valin, Daniel V. Smith, Christopher Montgomery, Timothy B. Terriberry

CoRR, 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, Richard Rawnsley

Comput. Electron. Agric., 2016

Detecting heat events in dairy cows using accelerometers and unsupervised learning.

Md. Sumon Shahriar, Daniel V. Smith, Ashfaqur Rahman, Mark Freeman, James Hills, Richard Rawnsley, David Henry, Greg Bishop-Hurley

Comput. Electron. Agric., 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

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

A comparison of autoencoder and statistical features for cattle behaviour classification.

Ashfaqur Rahman, Daniel V. Smith, James Hills, Greg Bishop-Hurley, David Henry, Richard Rawnsley

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Feasibility of Technology Enabled Speech Disorder Screening.

Andreas Duenser, Lauren Ward, Alessandro Stefani, Daniel V. Smith, Jill Freyne, Angela Morgan, Barbara Dodd

Proceedings of the Digital Health Innovation for Consumers, Clinicians, Connectivity and Community, 2016

2015

Avoiding Marine Vehicles with Passive Acoustics.

Claire D'Este, Brett Seton, John McCulloch, Daniel V. Smith, Chris Sharman

J. Field Robotics, 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, James Hills, Greg P. Timms

Expert Syst. Appl., 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

Comput. Electron. Agric., 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

Machine learning approach for pooled DNA sample calibration.

Andrew D. Hellicar, Ashfaqur Rahman, Daniel V. Smith, John M. Henshall

BMC Bioinform., 2015

Interactive Visual Big Data Analytics for Large Area Farm Biosecurity Monitoring: i-EKbase System.

Ritaban Dutta, Heiko Mueller, Daniel V. Smith, Aruneema Das, Jagannath Aryal

Proceedings of the 4th International Workshop on Big Data, 2015

Big Data Architecture for Environmental Analytics.

Ritaban Dutta, Cecil Li, Daniel V. Smith, Aruneema Das, Jagannath Aryal

Proceedings of the Environmental Software Systems. Infrastructures, Services and Applications, 2015

Farm biosecurity hot spots prediction using big data analytics.

Cecil Li, Ritaban Dutta, Daniel V. Smith, Aruneema Das, Jagannath Aryal

Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

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

Proceedings of the 2014 International Joint Conference on Neural Networks, 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

Proceedings of the 2014 International Joint Conference on Neural Networks, 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

Proceedings of the International Conference on Computational Science, 2014

An investigation of cow feeding behavior using motion sensors.

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

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2014

2013

A context aware sound classifier applied to prawn feed monitoring and energy disaggregation.

Daniel V. Smith, Md. Sumon Shahriar

Knowl. Based Syst., 2013

Multiple classifier system for automated quality assessment of marine sensor data.

Ashfaqur Rahman, Daniel V. Smith, Greg P. Timms

Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013

Dynamic annotation and visualisation of the South Esk hydrological sensor web.

Ritaban Dutta, Daniel V. Smith, Greg P. Timms

Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013

Exploring mineral domains with genetic algorithm.

Ashfaqur Rahman, Ritaban Dutta, Daniel V. Smith

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Applying context in appliance load identification.

Md. Sumon Shahriar, Ashfaqur Rahman, Daniel V. Smith

Proceedings of the Ninth International Conference on Natural Computation, 2013

2012

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

2011

Automated Data Quality Assessment of Marine Sensors.

Greg P. Timms, Paulo A. de Souza, Leon Reznik, Daniel V. Smith

Sensors, 2011

2010

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

2009

A Multi-Agent View of the Sensor Web.

Quan Bai, Siddeswara Mayura Guru, Daniel V. Smith, Qing Liu, Andrew Terhorst

Proceedings of the Advances in Practical Multi-Agent Systems, 2009

2008

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

Proceedings of the Fourth International Conference on e-Science, 2008

2007

Automated Counting of the Northern Pacific Sea Star in the Derwent Using Shape Recognition.

Daniel V. Smith, Matthew Dunbabin

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2007

2006

An analysis of the limitations of blind signal separation application with speech.

Daniel V. Smith, Jason Lukasiak, Ian S. Burnett

Signal Process., 2006

Blind Separation of Speech with a Switched Sparsity and Temporal Criteria.

Daniel V. Smith, Ian S. Burnett

Proceedings of the IEEE 8th Workshop on Multimedia Signal Processing, 2006

2005

Blind speech separation using a joint model of speech production.

Daniel V. Smith, Jason Lukasiak, Ian S. Burnett

IEEE Signal Process. Lett., 2005

A Sequential Approach to Sparse Component Analysis.

Daniel V. Smith, Jason Lukasiak, Ian S. Burnett

Proceedings of the IEEE 7th Workshop on Multimedia Signal Processing, 2005

An investigation of temporal modeling in blind signal separation.

Daniel V. Smith, Jason Lukasiak, Ian S. Burnett

Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

2004

Two Channel, Block Adaptive Audio Separation Using the Cross Correlation of Time Frequency Information.

Daniel V. Smith, Jason Lukasiak, Ian S. Burnett

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

A two channel, block-adaptive audio separation technique based upon time-frequency information.

Daniel V. Smith, Jason Lukasiak, Ian S. Burnett

Proceedings of the 2004 12th European Signal Processing Conference, 2004