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2020 – today
- 2022
[j19]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: 105973 (2022)- 2020
- [j18]Tahereh Kamali, Daniel W. Stashuk:
Discovering Density-Based Clustering Structures Using Neighborhood Distance Entropy Consistency. IEEE Trans. Comput. Soc. Syst. 7(4): 1069-1080 (2020)
2010 – 2019
- 2018
- [j17]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): 2494-2502 (2018) - [c15]Andrew Hamilton-Wright, Daniel W. Stashuk:
Improved MUP Template Estimation Using Local Time Warping and Kernel Weighted Averaging. EMBC 2018: 2647-2650 - 2016
- [j16]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: 14-22 (2016) - 2015
- [c14]Sarbast M. Rasheed, Daniel W. Stashuk, Mohamed S. Kamel:
Classifier fusion interactive software toolbox for EMG signal decomposition. CCECE 2015: 806-811 - [c13]Tsu-Wei Chen, Meena Abdelmaseeh, Daniel W. Stashuk:
Affine and Regional Dynamic Time Warping. ICDM Workshops 2015: 440-448 - [i3]Tsu-Wei Chen, Meena Abdelmaseeh, Daniel W. Stashuk:
Affine and Regional Dynamic Time Warpng. CoRR abs/1505.06531 (2015) - [i2]Tameem Adel, Alexander Wong, Daniel W. Stashuk:
A Weakly Supervised Learning Approach based on Spectral Graph-Theoretic Grouping. CoRR abs/1508.00507 (2015) - 2014
- [c12]Meena Abdelmaseeh, Benn Smith, Daniel W. Stashuk:
Detecting neuropathy using measures of motor unit activation extracted from standard concentric needle electromyographic signals. EMBC 2014: 4066-4070 - [c11]Meena Abdelmaseeh, Tsu-Wei Chen, Daniel W. Stashuk:
Multifunction myoelectric control using multi-dimensional dynamic time warping. EMBC 2014: 4366-4369 - 2013
- [c10]Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte:
Generative Multiple-Instance Learning Models For Quantitative Electromyography. UAI 2013 - [i1]Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte:
Generative Multiple-Instance Learning Models For Quantitative Electromyography. CoRR abs/1309.6811 (2013) - 2012
- [j15]Hossein Parsaei, Daniel W. Stashuk:
SVM-Based Validation of Motor Unit Potential Trains Extracted by EMG Signal Decomposition. IEEE Trans. Biomed. Eng. 59(1): 183-191 (2012) - [c9]Hossein Parsaei, Mehrdad J. Gangeh, Daniel W. Stashuk, Mohamed S. Kamel:
Augmenting the decomposition of EMG signals using supervised feature extraction techniques. EMBC 2012: 2615-2618 - [c8]Tameem Adel, Benn Smith, Daniel W. Stashuk:
Muscle categorization using PDF estimation and Naive Bayes classification. EMBC 2012: 2619-2622 - [c7]Hossein Parsaei, Daniel W. Stashuk, Tameem Adel:
Decomposition of intramuscular EMG signals using a knowledge -based certainty classifier algorithm. EMBC 2012: 6208-6211 - [c6]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: 548-553 - 2011
- [j14]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): 649-658 (2011) - [c5]Hossein Parsaei, Daniel W. Stashuk:
Automatic validation of motor unit potential trains extracted by EMG signal decomposition. CCECE 2011: 791-794 - [c4]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: 795-798 - [c3]Hossein Parsaei, Daniel W. Stashuk:
A method for detecting and editing MUPTs contaminated by false classification errors during EMG signal decomposition. EMBC 2011: 4394-4397 - 2010
- [j13]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): 866-882 (2010)
2000 – 2009
- 2009
- [r2]Andrew Hamilton-Wright, Daniel W. Stashuk:
Quantization of Continuous Data for Pattern Based Rule Extraction. Encyclopedia of Data Warehousing and Mining 2009: 1646-1652 - [r1]Andrew Hamilton-Wright, Daniel W. Stashuk:
Visualization Techniques for Confidence Based Data. Encyclopedia of Data Warehousing and Mining 2009: 2068-2073 - 2008
- [j12]Sarbast M. Rasheed, Daniel W. Stashuk, Mohamed Kamel:
Fusion of multiple classifiers for motor unit potential sorting. Biomed. Signal Process. Control. 3(3): 229-243 (2008) - [j11]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): 56-71 (2008) - [j10]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): 385-408 (2008) - [j9]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): 1293-1311 (2008) - [p1]Andrew Hamilton-Wright, Daniel W. Stashuk:
Statistically Based Pattern Discovery Techniques for Biological Data Analysis. Applications of Computational Intelligence in Biology 2008: 3-31 - 2007
- [j8]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): 1715-1721 (2007) - [j7]Andrew Hamilton-Wright, Daniel W. Stashuk, Hamid R. Tizhoosh:
Fuzzy Classification Using Pattern Discovery. IEEE Trans. Fuzzy Syst. 15(5): 772-783 (2007) - 2006
- [j6]Sarbast M. Rasheed, Daniel W. Stashuk, Mohamed Kamel:
Adaptive certainty-based classification for decomposition of EMG signals. Medical Biol. Eng. Comput. 44(4): 298-310 (2006) - [j5]Andrew Hamilton-Wright, Daniel W. Stashuk:
Transparent Decision Support Using Statistical Reasoning and Fuzzy Inference. IEEE Trans. Knowl. Data Eng. 18(8): 1125-1137 (2006) - [c2]Andrew Hamilton-Wright, Daniel W. Stashuk:
Clinical Characterization of Electromyographic Data Using Computational Tools. CIBCB 2006: 1-7 - 2005
- [j4]Andrew Hamilton-Wright, Daniel W. Stashuk:
Physiologically based simulation of clinical EMG signals. IEEE Trans. Biomed. Eng. 52(2): 171-183 (2005) - 2004
- [c1]Sarbast M. Rasheed, Daniel W. Stashuk, Mohamed S. Kamel:
Multi-classification techniques applied to EMG signal decomposition. SMC (2) 2004: 1226-1231
1990 – 1999
- 1992
- [j3]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): 143-153 (1992) - [j2]Daniel W. Stashuk, Rodrick K. Naphan:
Probabilistic inference-based classification applied to myoelectric signal decomposition. IEEE Trans. Biomed. Eng. 39(4): 346-355 (1992)
1980 – 1989
- 1988
- [j1]Daniel W. Stashuk, Hubert de Bruin:
Automatic decomposition of selective needle-detected myoelectric signals. IEEE Trans. Biomed. Eng. 35(1): 1-10 (1988)
Coauthor Index
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