Fusion of multiple classifiers for motor unit potential sorting
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Mohamed S. Kamel | Daniel W. Stashuk | Sarbast M. Rasheed | D. Stashuk | M. Kamel | Sarbast M. Rasheed
[1] David H. Wolpert,et al. Stacked generalization , 1992, Neural Networks.
[2] H. Devries. MUSCLES ALIVE-THEIR FUNCTIONS REVEALED BY ELECTROMYOGRAPHY , 1976 .
[3] D. Stashuk,et al. Robust method for estimating motor unit firing-pattern statistics , 2007, Medical and Biological Engineering and Computing.
[4] R. Schapire. The Strength of Weak Learnability , 1990, Machine Learning.
[5] Roberto Brunelli,et al. Person identification using multiple cues , 1995, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] M. Sugeno. FUZZY MEASURES AND FUZZY INTEGRALS—A SURVEY , 1993 .
[7] Mohamed S. Kamel,et al. Multi-classification techniques applied to EMG signal decomposition , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).
[8] Michael A. Arbib,et al. The handbook of brain theory and neural networks , 1995, A Bradford book.
[9] Luís A. Alexandre,et al. On combining classifiers using sum and product rules , 2001, Pattern Recognit. Lett..
[10] James C. Bezdek,et al. Decision templates for multiple classifier fusion: an experimental comparison , 2001, Pattern Recognit..
[11] Robert P. W. Duin,et al. The combining classifier: to train or not to train? , 2002, Object recognition supported by user interaction for service robots.
[12] Kevin W. Bowyer,et al. Combination of multiple classifiers using local accuracy estimates , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[13] Concettina Guerra,et al. A Graph-Theoretic Method for Decomposing Two-Dimensional Polygonal Shapes into Meaningful Parts , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Ching Y. Suen,et al. Multiple Classifier Combination Methodologies for Different Output Levels , 2000, Multiple Classifier Systems.
[15] P. Gader,et al. Advances in fuzzy integration for pattern recognition , 1994, CVPR 1994.
[16] Mohamed Kamel,et al. Adaptive fuzzy k-NN classifier for EMG signal decomposition. , 2006, Medical engineering & physics.
[17] Sung-Bae Cho,et al. Combining multiple neural networks by fuzzy integral for robust classification , 1995, IEEE Trans. Syst. Man Cybern..
[18] Shiro Usui,et al. Digital Low-Pass Differentiation for Biological Signal Processing , 1982, IEEE Transactions on Biomedical Engineering.
[19] Sherif Hashem,et al. Optimal Linear Combinations of Neural Networks , 1997, Neural Networks.
[20] Thomas G. Dietterich. Machine-Learning Research Four Current Directions , 1997 .
[21] Yoav Freund,et al. Experiments with a New Boosting Algorithm , 1996, ICML.
[22] Adam Krzyżak,et al. Methods of combining multiple classifiers and their applications to handwriting recognition , 1992, IEEE Trans. Syst. Man Cybern..
[23] Michael P. Perrone. Averaging/modular techniques for neural networks , 1998 .
[24] D Stashuk,et al. EMG signal decomposition: how can it be accomplished and used? , 2001, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.
[25] Ching Y. Suen,et al. Application of majority voting to pattern recognition: an analysis of its behavior and performance , 1997, IEEE Trans. Syst. Man Cybern. Part A.
[26] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[27] Sarbast M. Rasheed,et al. A Multiclassifier Approach to Motor Unit Potential Classification for EMG Signal Decomposition , 2006 .
[28] Mohamed S. Kamel,et al. Feature-based architectures for decision fusion , 2003 .
[29] Sargur N. Srihari,et al. Decision Combination in Multiple Classifier Systems , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[30] Jiri Matas,et al. On Combining Classifiers , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[31] Sung-Bae Cho,et al. Multiple network fusion using fuzzy logic , 1995, IEEE Trans. Neural Networks.
[32] Daniel W. Stashuk,et al. Physiologically based simulation of clinical EMG signals , 2005, IEEE Transactions on Biomedical Engineering.
[33] Antanas Verikas,et al. Soft combination of neural classifiers: A comparative study , 1999, Pattern Recognit. Lett..
[34] Mohamed S. Kamel,et al. Adaptive certainty-based classification for decomposition of EMG signals , 2006, Medical and Biological Engineering and Computing.
[35] Giorgio Valentini,et al. Ensembles of Learning Machines , 2002, WIRN.
[36] Robert E. Schapire,et al. The strength of weak learnability , 1990, Mach. Learn..
[37] Anil K. Jain,et al. Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[38] Dr. D. Stashuk,et al. Robust supervised classification of motor unit action potentials , 2006, Medical and Biological Engineering and Computing.
[39] Mohamed S. Kamel,et al. Data Dependence in Combining Classifiers , 2003, Multiple Classifier Systems.
[40] Ludmila I. Kuncheva,et al. Fuzzy Classifier Design , 2000, Studies in Fuzziness and Soft Computing.
[41] Robert P. W. Duin,et al. Experiments with Classifier Combining Rules , 2000, Multiple Classifier Systems.