Daniel W. Stashuk

Publication Activity (10 Years)

Years Active: 1992-2022
Publications (10 Years): 5

Top Topics

Diffusion Tensor

Weakly Supervised Learning

Density Based Clustering

Top Venues

Artif. Intell. Medicine

IEEE Trans. Comput. Soc. Syst.

Publications

Armando Malanda, Daniel W. Stashuk, Javier Navallas-Irujo, Javier Rodríguez-Falces, Ignacio Rodríguez-Carreño, César Valle, Oscar Garnés-Camarena
Automatic jitter measurement in needle-detected motor unit potential trains. Comput. Biol. Medicine 149 (2022)
Tahereh Kamali, Daniel W. Stashuk
Discovering Density-Based Clustering Structures Using Neighborhood Distance Entropy Consistency. IEEE Trans. Comput. Soc. Syst. 7 (4) (2020)
Andrew Hamilton-Wright, Daniel W. Stashuk
Improved MUP Template Estimation Using Local Time Warping and Kernel Weighted Averaging. EMBC (2018)
Tahereh Kamali, Daniel W. Stashuk
Electrophysiological Muscle Classification Using Multiple Instance Learning and Unsupervised Time and Spectral Domain Analysis. IEEE Trans. Biomed. Eng. 65 (11) (2018)
Tahereh Kamali, Daniel W. Stashuk
Automated segmentation of white matter fiber bundles using diffusion tensor imaging data and a new density based clustering algorithm. Artif. Intell. Medicine 73 (2016)
Sarbast M. Rasheed, Daniel W. Stashuk, Mohamed S. Kamel
Classifier fusion interactive software toolbox for EMG signal decomposition. CCECE (2015)
Tsu-Wei Chen, Meena Abdelmaseeh, Daniel W. Stashuk
Affine and Regional Dynamic Time Warpng. CoRR (2015)
Tameem Adel, Alexander Wong, Daniel W. Stashuk
A Weakly Supervised Learning Approach based on Spectral Graph-Theoretic Grouping. CoRR (2015)
Tsu-Wei Chen, Meena Abdelmaseeh, Daniel W. Stashuk
Affine and Regional Dynamic Time Warping. ICDM Workshops (2015)
Meena Abdelmaseeh, Tsu-Wei Chen, Daniel W. Stashuk
Multifunction myoelectric control using multi-dimensional dynamic time warping. EMBC (2014)
Meena Abdelmaseeh, Benn Smith, Daniel W. Stashuk
Detecting neuropathy using measures of motor unit activation extracted from standard concentric needle electromyographic signals. EMBC (2014)
Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte
Generative Multiple-Instance Learning Models For Quantitative Electromyography. CoRR (2013)
Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte
Generative Multiple-Instance Learning Models For Quantitative Electromyography. UAI (2013)
Meena Abdelmaseeh, Pascal Poupart, Benn Smith, Daniel W. Stashuk
Muscle Categorization Using Quantitative Needle Electromyography: A 2-Stage Gaussian Mixture Model Based Approach. ICMLA (1) (2012)
Tameem Adel, Benn Smith, Daniel W. Stashuk
Muscle categorization using PDF estimation and Naive Bayes classification. EMBC (2012)
Hossein Parsaei, Daniel W. Stashuk, Tameem Adel
Decomposition of intramuscular EMG signals using a knowledge -based certainty classifier algorithm. EMBC (2012)
Hossein Parsaei, Daniel W. Stashuk
SVM-Based Validation of Motor Unit Potential Trains Extracted by EMG Signal Decomposition. IEEE Trans. Biomed. Eng. 59 (1) (2012)
Hossein Parsaei, Mehrdad J. Gangeh, Daniel W. Stashuk, Mohamed S. Kamel
Augmenting the decomposition of EMG signals using supervised feature extraction techniques. EMBC (2012)
Hossein Parsaei, Daniel W. Stashuk
An SVM classifier for detecting merged motor unit potential trains extracted by EMG signal decomposition using their MUP shape information. CCECE (2011)
Hossein Parsaei, Faezeh Jahanmiri-Nezhad, Daniel W. Stashuk, Andrew Hamilton-Wright
Validating motor unit firing patterns extracted by EMG signal decomposition. Medical Biol. Eng. Comput. 49 (6) (2011)
Hossein Parsaei, Daniel W. Stashuk
Automatic validation of motor unit potential trains extracted by EMG signal decomposition. CCECE (2011)
Hossein Parsaei, Daniel W. Stashuk
A method for detecting and editing MUPTs contaminated by false classification errors during EMG signal decomposition. EMBC (2011)
Sarbast M. Rasheed, Daniel W. Stashuk, Mohamed S. Kamel
Integrating heterogeneous classifier ensembles for EMG signal decomposition based on classifier agreement. IEEE Trans. Inf. Technol. Biomed. 14 (3) (2010)
Sarbast M. Rasheed, Daniel W. Stashuk, Mohamed Kamel
Fusion of multiple classifiers for motor unit potential sorting. Biomed. Signal Process. Control. 3 (3) (2008)
Sarbast M. Rasheed, Daniel W. Stashuk, Mohamed Kamel
An interactive environment for motor unit potential classification using certainty-based classifiers. Simul. Model. Pract. Theory 16 (9) (2008)
Sarbast M. Rasheed, Daniel W. Stashuk, Mohamed Kamel
A software package for interactive motor unit potential classification using fuzzy k-NN classifier. Comput. Methods Programs Biomed. 89 (1) (2008)
Sarbast M. Rasheed, Daniel W. Stashuk, Mohamed S. Kamel
Diversity-based combination of non-parametric classifiers for EMG signal decomposition. Pattern Anal. Appl. 11 (3-4) (2008)
Andrew Hamilton-Wright, Daniel W. Stashuk, Hamid R. Tizhoosh
Fuzzy Classification Using Pattern Discovery. IEEE Trans. Fuzzy Syst. 15 (5) (2007)
Sarbast M. Rasheed, Daniel W. Stashuk, Mohamed Kamel
A Hybrid Classifier Fusion Approach for Motor Unit Potential Classification During EMG Signal Decomposition. IEEE Trans. Biomed. Eng. 54 (9) (2007)
Andrew Hamilton-Wright, Daniel W. Stashuk
Transparent Decision Support Using Statistical Reasoning and Fuzzy Inference. IEEE Trans. Knowl. Data Eng. 18 (8) (2006)
Andrew Hamilton-Wright, Daniel W. Stashuk
Clinical Characterization of Electromyographic Data Using Computational Tools. CIBCB (2006)
Sarbast M. Rasheed, Daniel W. Stashuk, Mohamed Kamel
Adaptive certainty-based classification for decomposition of EMG signals. Medical Biol. Eng. Comput. 44 (4) (2006)
Andrew Hamilton-Wright, Daniel W. Stashuk
Physiologically based simulation of clinical EMG signals. IEEE Trans. Biomed. Eng. 52 (2) (2005)
Sarbast M. Rasheed, Daniel W. Stashuk, Mohamed S. Kamel
Multi-classification techniques applied to EMG signal decomposition. SMC (2) (2004)
Andrew J. Fuglevand, David A. Winter, Aftab E. Patla, Daniel W. Stashuk
Detection of motor unit action potentials with surface electrodes: influence of electrode size and spacing. Biol. Cybern. 67 (2) (1992)