Michael W. Towsey

Orcid: 0000-0002-8246-7151

Affiliations:
  • Queensland University of Technology, Brisbane, Australia


According to our database1, Michael W. Towsey authored at least 67 papers between 1995 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2022
Acoustic region workflow for efficient comparison of soundscapes under different invasive mammals' management regimes.
Ecol. Informatics, 2022

2021
A novel frog chorusing recognition method with acoustic indices and machine learning.
Future Gener. Comput. Syst., 2021

2020
Investigation of Acoustic and Visual Features for Frog Call Classification.
J. Signal Process. Syst., 2020

Using visualization and machine learning methods to monitor low detectability species - The least bittern as a case study.
Ecol. Informatics, 2020

Data selection in frog chorusing recognition with acoustic indices.
Ecol. Informatics, 2020

2019
Recognition of Frog Chorusing with Acoustic Indices and Machine Learning.
Proceedings of the 15th International Conference on eScience, 2019

Social Network Analysis of an Acoustic Environment: The Use of Visualised Data to Characterise Natural Habitats.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

2018
Frog call classification: a survey.
Artif. Intell. Rev., 2018

Ecosound-explorer: a method for large scale interactive visual navigation of environmental acoustic data.
Proceedings of the 30th Australian Conference on Computer-Human Interaction, 2018

Deep Learning Techniques for Koala Activity Detection.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Catching Toad Calls in the Cloud: Commodity Edge Computing for Flexible Analysis of Big Sound Data.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

Animal Call Recognition with Acoustic Indices: Little Spotted Kiwi as a Case Study.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

3D convolutional recurrent neural networks for bird sound detection.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018

2017
Long-term monitoring of cane-toads using acoustic sensors: poster abstract.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

An Investigation into Acoustic Analysis Methods for Endangered Species Monitoring: A Case of Monitoring the Critically Endangered White-Bellied Heron in Bhutan.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

Visualization of Environmental Audio Using Ribbon Plots and Acoustic State Sequences.
Proceedings of the 2017 International Symposium on Big Data Visual Analytics, 2017

2016
Classifying and ranking audio clips to support bird species richness surveys.
Ecol. Informatics, 2016

Adaptive frequency scaled wavelet packet decomposition for frog call classification.
Ecol. Informatics, 2016

Feature Extraction Based on Bandpass Filtering for Frog Call Classification.
Proceedings of the Image and Signal Processing - 7th International Conference, 2016

Multiple-Instance Multiple-Label Learning for the Classification of Frog Calls with Acoustic Event Detection.
Proceedings of the Image and Signal Processing - 7th International Conference, 2016

Detecting Frog Calling Activity Based on Acoustic Event Detection and Multi-label Learning.
Proceedings of the International Conference on Computational Science 2016, 2016

Visual Analytics of Eco-Acoustic Recordings: The Use of Acoustic Indices to Visualise 24-Hour Recordings.
Proceedings of the 2016 Big Data Visual Analytics, 2016

Challenges in Designing Visual Analytics for Environmental Acoustic Monitoring.
Proceedings of the Companion Publication of the 2014 ACM Conference on Designing Interactive Systems, DIS '16, Brisbane, QLD, Australia, June 04, 2016

2015
Decision support for the efficient annotation of bioacoustic events.
Ecol. Informatics, 2015

Similarity-based birdcall retrieval from environmental audio.
Ecol. Informatics, 2015

Generalised features for bird vocalisation retrieval in acoustic recordings.
Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015

Image Processing and Classification Procedure for the Analysis of Australian Frog Vocalisations.
Proceedings of the 2nd International Workshop on Environmental Multimedia Retrieval, 2015

Detection of anuran calling activity in long field recordings for bio-acoustic monitoring.
Proceedings of the Tenth IEEE International Conference on Intelligent Sensors, 2015

Acoustic classification of Australian anurans using syllable features.
Proceedings of the Tenth IEEE International Conference on Intelligent Sensors, 2015

Application of image processing techniques for frog call classification.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Computer-Assisted Sampling of Acoustic Data for More Efficient Determination of Bird Species Richness.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

The Navigation and Visualisation of Environmental Audio Using Zooming Spectrograms.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Compact Features for Birdcall Retrieval from Environmental Acoustic Recordings.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Acoustic Feature Extraction Using Perceptual Wavelet Packet Decomposition for Frog Call Classification.
Proceedings of the 11th IEEE International Conference on e-Science, 2015

Assistive classification for improving the efficiency of avian species richness surveys.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Birdcall Retrieval from Environmental Acoustic Recordings Using Image Processing.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

Visual Fingerprints of the Acoustic Environment: The Use of Acoustic Indices to Characterise Natural Habitats.
Proceedings of the Big Data Visual Analytics, 2015

2014
The use of acoustic indices to determine avian species richness in audio-recordings of the environment.
Ecol. Informatics, 2014

Ecology and acoustics at a large scale.
Ecol. Informatics, 2014

A survey of tagging techniques for music, speech and environmental sound.
Artif. Intell. Rev., 2014

Detection of Rain in Acoustic Recordings of the Environment.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Visualization of Long-duration Acoustic Recordings of the Environment.
Proceedings of the International Conference on Computational Science, 2014

Practical Analysis of Big Acoustic Sensor Data for Environmental Monitoring.
Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014

2013
Analysing environmental acoustic data through collaboration and automation.
Future Gener. Comput. Syst., 2013

Reconciling Folksonomic Tagging with Taxa for Bioacoustic Annotations.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

Timed Probabilistic Automaton: A Bridge between Raven and Song Scope for Automatic Species Recognition.
Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, 2013

A Novel Representation of Bioacoustic Events for Content-Based Search in Field Audio Data.
Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

Managing and Analysing Big Audio Data for Environmental Monitoring.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

2012
Timed and probabilistic automata for automatic animal Call Recognition.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2010
Scaling Acoustic Data Analysis through Collaboration and Automation.
Proceedings of the Sixth International Conference on e-Science, 2010

2008
The cross-species prediction of bacterial promoters using a support vector machine.
Comput. Biol. Chem., 2008

Comparative Studies Simplified in GPFlow.
Proceedings of the Computational Science, 2008

Towards an Acoustic Environmental Observatory.
Proceedings of the Fourth International Conference on e-Science, 2008

Comparative Studies Made Simple in GPFlow.
Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), 2008

2006
The Prediction of Bacterial Transcription Start Sites Using Svms.
Int. J. Neural Syst., 2006

Improved prediction of bacterial transcription start sites.
Bioinform., 2006

2005
SVM Based Prediction of Bacterial Transcription Start Sites.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

BLOMAP: An encoding of amino acids which improves signal peptide cleavage site prediction.
Proceedings of 3rd Asia-Pacific Bioinformatics Conference, 17-21 January 2005, Singapore, 2005

2003
Neural Networks and Machine Learning for Natural Language Processing - Introduction.
Appl. Intell., 2003

2001
C-Net: A Method for Generating Non-deterministic and Dynamic Multivariate Decision Trees.
Knowl. Inf. Syst., 2001

Towards Melodic Extension Using Genetic Algorithms.
J. Educ. Technol. Soc., 2001

1999
Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry.
Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

1998
Natural Language Learning by Recurrent Neural Networks: A Comparison with probabilistic approaches.
Proceedings of the Joint Conference on New Methods in Language Processing and Computational Natural Language Learning, 1998

Knowledge Extraction and Recurrent Neural Networks: An Analysis of an Elman Network trained on a Natural Language Learning Task.
Proceedings of the Joint Conference on New Methods in Language Processing and Computational Natural Language Learning, 1998

1997
The use of neural networks in the automated analysis of the electroencephalogram
PhD thesis, 1997

1995
Efficacy of modified backpropagation and optimisation methods on a real-world medical problem.
Neural Networks, 1995

Training a neural network with conjugate gradient methods.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995


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