Daniel W. Stashuk

Orcid: 0000-0002-8072-8135

According to our database1, Daniel W. Stashuk authored at least 39 papers between 1988 and 2022.

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

Timeline

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Links

On csauthors.net:

Bibliography

2022
Automatic jitter measurement in needle-detected motor unit potential trains.
Comput. Biol. Medicine, 2022

2020
Discovering Density-Based Clustering Structures Using Neighborhood Distance Entropy Consistency.
IEEE Trans. Comput. Soc. Syst., 2020

2018
Electrophysiological Muscle Classification Using Multiple Instance Learning and Unsupervised Time and Spectral Domain Analysis.
IEEE Trans. Biomed. Eng., 2018

Improved MUP Template Estimation Using Local Time Warping and Kernel Weighted Averaging.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2016
Automated segmentation of white matter fiber bundles using diffusion tensor imaging data and a new density based clustering algorithm.
Artif. Intell. Medicine, 2016

2015
Affine and Regional Dynamic Time Warpng.
CoRR, 2015

A Weakly Supervised Learning Approach based on Spectral Graph-Theoretic Grouping.
CoRR, 2015

Affine and Regional Dynamic Time Warping.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Classifier fusion interactive software toolbox for EMG signal decomposition.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

2014
Detecting neuropathy using measures of motor unit activation extracted from standard concentric needle electromyographic signals.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Multifunction myoelectric control using multi-dimensional dynamic time warping.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Generative Multiple-Instance Learning Models For Quantitative Electromyography.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

2012
SVM-Based Validation of Motor Unit Potential Trains Extracted by EMG Signal Decomposition.
IEEE Trans. Biomed. Eng., 2012

Muscle Categorization Using Quantitative Needle Electromyography: A 2-Stage Gaussian Mixture Model Based Approach.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Decomposition of intramuscular EMG signals using a knowledge -based certainty classifier algorithm.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Augmenting the decomposition of EMG signals using supervised feature extraction techniques.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Muscle categorization using PDF estimation and Naive Bayes classification.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Validating motor unit firing patterns extracted by EMG signal decomposition.
Medical Biol. Eng. Comput., 2011

A method for detecting and editing MUPTs contaminated by false classification errors during EMG signal decomposition.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

An SVM classifier for detecting merged motor unit potential trains extracted by EMG signal decomposition using their MUP shape information.
Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011

Automatic validation of motor unit potential trains extracted by EMG signal decomposition.
Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011

2010
Integrating heterogeneous classifier ensembles for EMG signal decomposition based on classifier agreement.
IEEE Trans. Inf. Technol. Biomed., 2010

2009
Visualization Techniques for Confidence Based Data.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Quantization of Continuous Data for Pattern Based Rule Extraction.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

2008
Statistically Based Pattern Discovery Techniques for Biological Data Analysis.
Proceedings of the Applications of Computational Intelligence in Biology: Current Trends and Open Problems, 2008

An interactive environment for motor unit potential classification using certainty-based classifiers.
Simul. Model. Pract. Theory, 2008

Diversity-based combination of non-parametric classifiers for EMG signal decomposition.
Pattern Anal. Appl., 2008

A software package for interactive motor unit potential classification using fuzzy k-NN classifier.
Comput. Methods Programs Biomed., 2008

Fusion of multiple classifiers for motor unit potential sorting.
Biomed. Signal Process. Control., 2008

2007
Fuzzy Classification Using Pattern Discovery.
IEEE Trans. Fuzzy Syst., 2007

A Hybrid Classifier Fusion Approach for Motor Unit Potential Classification During EMG Signal Decomposition.
IEEE Trans. Biomed. Eng., 2007

2006
Transparent Decision Support Using Statistical Reasoning and Fuzzy Inference.
IEEE Trans. Knowl. Data Eng., 2006

Adaptive certainty-based classification for decomposition of EMG signals.
Medical Biol. Eng. Comput., 2006

Clinical Characterization of Electromyographic Data Using Computational Tools.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

2005
Physiologically based simulation of clinical EMG signals.
IEEE Trans. Biomed. Eng., 2005

2004
Multi-classification techniques applied to EMG signal decomposition.
Proceedings of the IEEE International Conference on Systems, 2004

1992
Probabilistic inference-based classification applied to myoelectric signal decomposition.
IEEE Trans. Biomed. Eng., 1992

Detection of motor unit action potentials with surface electrodes: influence of electrode size and spacing.
Biol. Cybern., 1992

1988
Automatic decomposition of selective needle-detected myoelectric signals.
IEEE Trans. Biomed. Eng., 1988


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