Automatic decomposition of selective needle-detected myoelectric signals. - Daniel W. Stashuk; Hubert de Bruin (IEEE Trans. Biomed. Eng., 1988)

Detection of motor unit action potentials with surface electrodes: influence of electrode size and spacing. - Andrew J. Fuglevand; David A. Winter; Aftab E. Patla; Daniel W. Stashuk (Biol. Cybern., 1992)

Probabilistic inference-based classification applied to myoelectric signal decomposition. - Daniel W. Stashuk; Rodrick K. Naphan (IEEE Trans. Biomed. Eng., 1992)

Multi-classification techniques applied to EMG signal decomposition. - Sarbast M. Rasheed; Daniel W. Stashuk; Mohamed S. Kamel (SMC (2), 2004)

Comparing "pattern discovery" and back-propagation classifiers. - Andrew Hamilton-Wright; Daniel W. Stashuk (IJCNN, 2005)

Physiologically based simulation of clinical EMG signals. - Andrew Hamilton-Wright; Daniel W. Stashuk (IEEE Trans. Biomed. Eng., 2005)

Clinical Characterization of Electromyographic Data Using Computational Tools. - Andrew Hamilton-Wright; Daniel W. Stashuk (CIBCB, 2006)

Adaptive certainty-based classification for decomposition of EMG signals. - Sarbast M. Rasheed; Daniel W. Stashuk; Mohamed Kamel (Medical Biol. Eng. Comput., 2006)

Transparent Decision Support Using Statistical Reasoning and Fuzzy Inference. - Andrew Hamilton-Wright; Daniel W. Stashuk (IEEE Trans. Knowl. Data Eng., 2006)

A Hybrid Classifier Fusion Approach for Motor Unit Potential Classification During EMG Signal Decomposition. - Sarbast M. Rasheed; Daniel W. Stashuk; Mohamed Kamel (IEEE Trans. Biomed. Eng., 2007)

Fuzzy Classification Using Pattern Discovery. - Andrew Hamilton-Wright; Daniel W. Stashuk; Hamid R. Tizhoosh (IEEE Trans. Fuzzy Syst., 2007)

Fusion of multiple classifiers for motor unit potential sorting. - Sarbast M. Rasheed; Daniel W. Stashuk; Mohamed Kamel (Biomed. Signal Process. Control., 2008)

A software package for interactive motor unit potential classification using fuzzy k-NN classifier. - Sarbast M. Rasheed; Daniel W. Stashuk; Mohamed Kamel (Comput. Methods Programs Biomed., 2008)

Diversity-based combination of non-parametric classifiers for EMG signal decomposition. - Sarbast M. Rasheed; Daniel W. Stashuk; Mohamed S. Kamel (Pattern Anal. Appl., 2008)

An interactive environment for motor unit potential classification using certainty-based classifiers. - Sarbast M. Rasheed; Daniel W. Stashuk; Mohamed Kamel (Simul. Model. Pract. Theory, 2008)

Statistically Based Pattern Discovery Techniques for Biological Data Analysis. - Andrew Hamilton-Wright; Daniel W. Stashuk (Applications of Computational Intelligence in Biology, 2008)

Quantization of Continuous Data for Pattern Based Rule Extraction. - Andrew Hamilton-Wright; Daniel W. Stashuk (Encyclopedia of Data Warehousing and Mining, 2009)

Visualization Techniques for Confidence Based Data. - Andrew Hamilton-Wright; Daniel W. Stashuk (Encyclopedia of Data Warehousing and Mining, 2009)

Integrating heterogeneous classifier ensembles for EMG signal decomposition based on classifier agreement. - Sarbast M. Rasheed; Daniel W. Stashuk; Mohamed S. Kamel (IEEE Trans. Inf. Technol. Biomed., 2010)

Automatic validation of motor unit potential trains extracted by EMG signal decomposition. - Hossein Parsaei; Daniel W. Stashuk (CCECE, 2011)

An SVM classifier for detecting merged motor unit potential trains extracted by EMG signal decomposition using their MUP shape information. - Hossein Parsaei; Daniel W. Stashuk (CCECE, 2011)

A method for detecting and editing MUPTs contaminated by false classification errors during EMG signal decomposition. - Hossein Parsaei; Daniel W. Stashuk (EMBC, 2011)

Validating motor unit firing patterns extracted by EMG signal decomposition. - Hossein Parsaei; Faezeh Jahanmiri-Nezhad; Daniel W. Stashuk; Andrew Hamilton-Wright (Medical Biol. Eng. Comput., 2011)

Muscle categorization using PDF estimation and Naive Bayes classification. - Tameem Adel; Benn Smith; Daniel W. Stashuk (EMBC, 2012)

Augmenting the decomposition of EMG signals using supervised feature extraction techniques. - Hossein Parsaei; Mehrdad J. Gangeh; Daniel W. Stashuk; Mohamed S. Kamel (EMBC, 2012)

Decomposition of intramuscular EMG signals using a knowledge -based certainty classifier algorithm. - Hossein Parsaei; Daniel W. Stashuk; Tameem Adel (EMBC, 2012)

Muscle Categorization Using Quantitative Needle Electromyography: A 2-Stage Gaussian Mixture Model Based Approach. - Meena Abdelmaseeh; Pascal Poupart; Benn Smith; Daniel W. Stashuk (ICMLA (1), 2012)

SVM-Based Validation of Motor Unit Potential Trains Extracted by EMG Signal Decomposition. - Hossein Parsaei; Daniel W. Stashuk (IEEE Trans. Biomed. Eng., 2012)

Generative Multiple-Instance Learning Models For Quantitative Electromyography. - Tameem Adel; Benn Smith; Ruth Urner; Daniel W. Stashuk; Daniel J. Lizotte (UAI, 2013)

Multifunction myoelectric control using multi-dimensional dynamic time warping. - Meena Abdelmaseeh; Tsu-Wei Chen; Daniel W. Stashuk (EMBC, 2014)

Detecting neuropathy using measures of motor unit activation extracted from standard concentric needle electromyographic signals. - Meena Abdelmaseeh; Benn Smith; Daniel W. Stashuk (EMBC, 2014)

Classifier fusion interactive software toolbox for EMG signal decomposition. - Sarbast M. Rasheed; Daniel W. Stashuk; Mohamed S. Kamel (CCECE, 2015)

Affine and Regional Dynamic Time Warping. - Tsu-Wei Chen; Meena Abdelmaseeh; Daniel W. Stashuk (ICDM Workshops, 2015)

A Weakly Supervised Learning Approach based on Spectral Graph-Theoretic Grouping. - Tameem Adel; Alexander Wong; Daniel W. Stashuk (CoRR, 2015)

Affine and Regional Dynamic Time Warpng. - Tsu-Wei Chen; Meena Abdelmaseeh; Daniel W. Stashuk (CoRR, 2015)

Automated segmentation of white matter fiber bundles using diffusion tensor imaging data and a new density based clustering algorithm. - Tahereh Kamali; Daniel W. Stashuk (Artif. Intell. Medicine, 2016)

Improved MUP Template Estimation Using Local Time Warping and Kernel Weighted Averaging. - Andrew Hamilton-Wright; Daniel W. Stashuk (EMBC, 2018)

Electrophysiological Muscle Classification Using Multiple Instance Learning and Unsupervised Time and Spectral Domain Analysis. - Tahereh Kamali; Daniel W. Stashuk (IEEE Trans. Biomed. Eng., 2018)

Discovering Density-Based Clustering Structures Using Neighborhood Distance Entropy Consistency. - Tahereh Kamali; Daniel W. Stashuk (IEEE Trans. Comput. Soc. Syst., 2020)

Automatic jitter measurement in needle-detected motor unit potential trains. - Armando Malanda; Daniel W. Stashuk; Javier Navallas-Irujo; Javier Rodríguez-Falces; Ignacio Rodríguez-Carreño; César Valle; Oscar Garnés-Camarena (Comput. Biol. Medicine, 2022)