Daniel V. Smith

发表

A Bayesian Framework for the Automated Online Assessment of Sensor Data Quality

Greg P. Timms, Claire D'Este, Daniel V. Smith, 2012, Sensors.

Dynamic cattle behavioural classification using supervised ensemble classifiers

Greg Bishop-Hurley, Greg P. Timms, Daniel V. Smith, 2015, Comput. Electron. Agric..

Blind speech separation using a joint model of speech production

Ian S. Burnett, Daniel V. Smith, Jason Lukasiak, 2005, IEEE Signal Processing Letters.

Applying context in appliance load identification

Ashfaqur Rahman, Md. Sumon Shahriar, Daniel V. Smith, 2013, 2013 Ninth International Conference on Natural Computation (ICNC).

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

Ian S. Burnett, Daniel V. Smith, Jason Lukasiak, 2004, 2004 12th European Signal Processing Conference.

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

Daniel V. Smith, Jagannath Aryal, Ritaban Dutta, 2015, BigMine.

An Algorithm for the Automatic Analysis of Signals From an Oyster Heart Rate Sensor

Greg Smith, Daniel V. Smith, Andrew D. Hellicar, 2015, IEEE Sensors Journal.

Autonomous Framework for Sensor Network Quality Annotation: Maximum Probability Clustering Approach

Andrew Terhorst, Ahsan Morshed, Daniel V. Smith, 2014, ICCS.

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

Ian S. Burnett, Daniel V. Smith, Jason Lukasiak, 2004, ICA.

Automated Data Quality Assessment of Marine Sensors

Leon Reznik, Greg P. Timms, Daniel V. Smith, 2011, Sensors.

Detecting heat events in dairy cows using accelerometers and unsupervised learning

Mark Freeman, Md. Sumon Shahriar, Daniel V. Smith, 2016, Comput. Electron. Agric..

Avoiding Marine Vehicles with Passive Acoustics

Claire D'Este, Daniel V. Smith, Chris Sharman, 2015, J. Field Robotics.

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

Md. Sumon Shahriar, Daniel V. Smith, Daniel V. Smith, 2013, Knowl. Based Syst..

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

Matthew Dunbabin, Daniel V. Smith, Daniel V. Smith, 2007, 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007).

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

Hao Xue, Daniel V. Smith, Flora D. Salim, 2020, WWW.

Dynamic annotation and visualisation of the South Esk hydrological sensor web

Greg P. Timms, Daniel V. Smith, Ritaban Dutta, 2013, 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

Big Data Architecture for Environmental Analytics

Daniel V. Smith, Jagannath Aryal, Ritaban Dutta, 2015, ISESS.

Behavior classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems

Md. Sumon Shahriar, Daniel V. Smith, Richard Rawnsley, 2016, Comput. Electron. Agric..

ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data

Daniel V. Smith, Amin Sadri, Flora D. Salim, 2020, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

A Sequential Approach to Sparse Component Analysis

Ian S. Burnett, Daniel V. Smith, Jason Lukasiak, 2005, 2005 IEEE 7th Workshop on Multimedia Signal Processing.

A comparison of autoencoder and statistical features for cattle behaviour classification

Daniel V. Smith, Richard Rawnsley, James Hills, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Low-Complexity Iterative Sinusoidal Parameter Estimation pdf

Timothy B. Terriberry, Jean-Marc Valin, Daniel V. Smith, 2016, ArXiv.

Bag of Class Posteriors, a new multivariate time series classifier applied to animal behaviour identification

Greg P. Timms, Daniel V. Smith, Andrew D. Hellicar, 2015, Expert Syst. Appl..

A Novel Machine Learning Approach Toward Quality Assessment of Sensor Data

Daniel V. Smith, Ashfaqur Rahman, Greg Timms, 2014, IEEE Sensors Journal.

An investigation of temporal modeling in blind signal separation

Ian S. Burnett, Daniel V. Smith, Jason Lukasiak, 2005, Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005..

Automatic Screening Of Children With Speech Sound Disorders Using Paralinguistic Features

Beena Ahmed, Julien Epps, Daniel V. Smith, 2019, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP).

Hydrological Sensor Web for the South Esk Catchment in the Tasmanian state of Australia

Peter Taylor, Yanfeng Shu, Andrew Terhorst, 2008, 2008 IEEE Fourth International Conference on eScience.

A neural network and SOM based approach to analyse periodic signals: Application to Oyster heart-rate data

Ashfaqur Rahman, Greg Smith, Daniel V. Smith, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Multiple classifier system for automated quality assessment of marine sensor data

Ashfaqur Rahman, Greg P. Timms, Daniel V. Smith, 2013, 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

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

Ian S. Burnett, Daniel V. Smith, Jason Lukasiak, 2006, Signal Process..

An iterative linearised solution to the sinusoidal parameter estimation problem

Timothy B. Terriberry, Jean-Marc Valin, Daniel V. Smith, 2010, Comput. Electr. Eng..

Allele frequency calibration for SNP based genotyping of DNA pools: A regression based local-global error fusion method

Ashfaqur Rahman, Daniel V. Smith, Andrew D. Hellicar, 2015, Comput. Biol. Medicine.

Blind Separation of Speech with a Switched Sparsity and Temporal Criteria

Ian S. Burnett, Daniel V. Smith, 2006, 2006 IEEE Workshop on Multimedia Signal Processing.

Exploring mineral domains with genetic algorithm

Ashfaqur Rahman, Daniel V. Smith, Ritaban Dutta, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

An investigation of cow feeding behavior using motion sensors

Greg P. Timms, Claire D'Este, Ahsan Morshed, 2014, 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.

Machine learning approach for pooled DNA sample calibration

Ashfaqur Rahman, Daniel V. Smith, Andrew D. Hellicar, 2015, BMC Bioinformatics.

Farm biosecurity hot spots prediction using big data analytics

Daniel V. Smith, Jagannath Aryal, Ritaban Dutta, 2015, 2015 31st IEEE International Conference on Data Engineering Workshops.

A hierarchical learning approach to calibrate allele frequencies for SNP based genotyping of DNA pools

Ashfaqur Rahman, Ulrich Engelke, Daniel V. Smith, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

A Multi-Agent View of the Sensor Web

Qing Liu, Andrew Terhorst, Quan Bai, 2009, PRIMA Workshops.

Quality Control (QC) procedures for Australia's National Reference Station's sensor data: Comparing semi-autonomous systems to an expert oceanographer

Daniel V. Smith, G. Timms, D. Slawinski, 2014 .

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

Daniel V. Smith, Ashfaqur Rahman, Mashud Rana, 2023, ArXiv.

Machine learning approach for pooled DNA sample calibration

Daniel V. Smith, Andrew D. Hellicar, Ashfaqur Rahman, 2015, BMC Bioinformatics.