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| Total number of citations to the following papers: 55 (Google Scholar as of 1/22/2009) |
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Papers in peer reviewed journals |
| [1] | M. A. Mazurowski, J. A. Baker, H. X. Barnhart, G. D. Tourassi, Individualized computer-aided education in mammography based on user modeling: Concept and preliminary experiments, Medical Physics, vol. 37, pp. 1152--1160, March 2010 |
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| [2] | M. A. Mazurowski, J. M. Zurada, G. D. Tourassi, An adaptive incremental approach to constructing ensemble classifiers: application in an information-theoretic computer-aided decision system for detection of masses in mammograms, Medical Physics, vol. 36, pp. 2976--2984, July 2009 |
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| [3] | J. M. Zurada, M. A. Mazurowski, R. Ragade, A. Abdullin, J. Wojtusiak, J. Gentle, Building virtual community in computational intelligence and machine learning, IEEE Computational Intelligence Magazine, vol. 4, pp. 43-54, February 2009 |
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| [4] | M. A. Mazurowski, J. M. Zurada, and G. D. Tourassi, Selection of examples in case-based computer-aided decision systems, Physics in Medicine and Biology, vol. 53, pp. 6079-6096, November 2008 |
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| [5] | M. A. Mazurowski, P. A. Habas, J. M. Zurada, J. Y. Lo, J. A. Baker, and G. D. Tourassi, Training Neural Network Classifiers for Medical Decision Making: The Effects of Imbalanced Datasets on Classification Performance, Neural Networks, vol. 21, pp. 427-436, March-April 2008 |
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| [6] | M. A. Mazurowski, P. A. Habas, J. M. Zurada, and G. D. Tourassi, Decision optimization of case-based computer aided decision systems using genetic algorithms with application to mammography, Physics in Medicine and Biology, vol. 53, pp. 895-908, January 2008
[ Selected for Physics in Medicine and Biology Highlights of 2008 ]
[ Featured in CAD weights up its own experience ]
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Papers in conference proceedings |
| [7] | M. A. Mazurowski, J. Y. Lo and G. D. Tourassi, User modeling for improved computer-aided training in radiology: initial experience, Proceedings of SPIE, Medical Imaging 2010: Image Perception, Observer Performance, and Technology Assessment, February 13--18, San Diego, CA, USA, vol. 7627, 762713 |
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| [8] | M. A. Mazurowski and G. D. Tourassi, Evaluating Classifiers: Relation Between Area Under the Receiver Operator Characteristic Curve and Overall Accuracy, Proceedings of International Joint Conference on Neural Networks (IJCNN 2009), June 14-19, Atlanta, GA, USA, pp. 2045--2049 |
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| [9] | J. M. Malof, M. A. Mazurowski and G. D. Tourassi, The Effect of Class Imbalance on Case Selection for Case-Based Classifiers, with Emphasis on Computer-Aided Diagnosis Systems, Proceedings of International Joint Conference on Neural Networks (IJCNN 2009), June 14-19, Atlanta, GA, USA, pp. 1975--1980 |
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| [10] | M. A. Mazurowski, J. M. Malof, J. M. Zurada and G. D. Tourassi, A comparative study of database reduction methods for case-based computer-aided detection systems: preliminary results, Proceedings of SPIE, Medical Imaging 2009: Computer-Aided Diagnosis, February 7-12, 2009, Orlando, FL, USA, vol. 7260, 72600F |
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| [11] | M. A. Mazurowski and G. D. Tourassi, Relational representation for improved decisions with an information-theoretic CADe system: initial experience, Proceedings of SPIE, Medical Imaging 2009: Computer-Aided Diagnosis, February 7-12, 2009, Orlando, FL, USA, vol. 7260, 726018 |
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| [12] | M. A. Mazurowski, J. M. Zurada and G. D. Tourassi, Reliability Assessment of Ensemble Classifiers: Application in Mammography, International Workshop on Digital Mammography, July 20-23, 2008, Tucson, AZ, USA, Lecture Notes in Computer Science, vol. 5116/2008, pp. 366-370 |
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| [13] | J.M. Zurada, J. Wojtusiak, M. A. Mazurowski, D.Mehta, K. Moidu and S. Margolis, Toward Multidisciplinary Collaboration in the CIML Virtual Community, Proceedings of NSF Workshop 'Building Computational Intelligence and Machine Learning Virtual Organizations' George Mason University, Fairfax, Virginia, October 24, 2008, pp. 62-66 |
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| [14] | C. Boyle, A. Abdullin, R. Ragade, M. A. Mazurowski, J. Wojtusiak and J. M. Zurada, Workflow considerations in the emerging CI-ML virtual organization, Proceedings of NSF Workshop 'Building Computational Intelligence and Machine Learning Virtual Organizations' George Mason University, Fairfax, Virginia, October 24, 2008, pp. 67-70 |
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| [15] | J. M. Zurada, I. Aizenberg and M. A. Mazurowski, Learning in networks: complex-valued neurons, pruning, and rule extraction, IEEE Intelligent Systems Conference (IS 2008), September 6-8, 2008, Varna, Bulgaria (invited paper) |
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| [16] | J. M. Zurada, J. Wojtusiak, F. Chowdhury, J. E. Gentle, C. J. Jeannot, and M. A. Mazurowski, Computational intelligence virtual community: framework and implementation Issues, Proceedings of International Joint Conference on Neural Networks (IJCNN 2008), June 1-6, 2008, Hong Kong, pp. 3152-3156 |
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| [17] | M. A. Mazurowski, J. M. Zurada and G. D. Tourassi, Database Decomposition of a Knowledge-Based CAD System in Mammography; an Ensemble Approach to Improve Detection Performance, Proceedings of SPIE, Medical Imaging 2008: Computer-Aided Diagnosis, February 16-21, 2008, San Diego, CA, USA, vol. 6915, 69151K |
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| [18] | M. A. Mazurowski, Brian P. Harrawood, J. M. Zurada and G. D. Tourassi, Towards Perceptually Driven Image Retrieval in Mammography: A Pilot Observer Study to Assess Visual Similarity of Masses, Proceedings of SPIE, Medical Imaging 2008: Image Perception, Observer Performance, and Technology Assessment, February 16-21, 2008, San Diego, CA, USA, vol. 6917, 69170I |
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| [19] | M. A. Mazurowski, P. A. Habas, J. M. Zurada and G. D. Tourassi, Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms, Proceedings of IEEE Congress on Evolutionary Computation (CEC 2007), September 26-28, 2007, Singapore, pp. 600-605 |
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| [20] | M. A. Mazurowski and J. M. Zurada, Solving decentralized multi-agent control problems with genetic algorithms, Proceedings of IEEE Congress on Evolutionary Computation (CEC 2007), September 26-28, 2007, Singapore, pp. 1029-1034 |
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| [21] | M. A. Mazurowski, P. A. Habas, J. M. Zurada and G. D. Tourassi, Impact of low class prevalence on the performance evaluation of neural network based classifiers: experimental study in the context of computer-assisted medical diagnosis, Proceedings of International Joint Conference on Neural Networks (IJCNN 2007), August 12-17, 2007, Orlando, FL, USA, pp. 2005-2009 |
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| [22] | G. D. Tourassi, J. L. Jesneck, M. A. Mazurowski and P. A. Habas, Stacked generalization in computer-assisted decision systems: empirical comparison of data handling schemes, Proceedings of International Joint Conference on Neural Networks (IJCNN 2007), August 12-17, 2007, Orlando, FL, USA, pp. 1343-1347 |
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| [23] | M. A. Mazurowski, J. M. Zurada, Solving multi-agent control problems using particle swarm optimization, Proceedings of IEEE Swarm Intelligence Symposium (SIS 2007), April 1-5, 2007, Honolulu, USA, pp. 105-111 |
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| [24] | M. A. Mazurowski, J. M. Zurada, Emergence of communication in multi-agent systems using reinforcement learning, Proceedings of the 4th IEEE International Conference on Computational Cybernetics (ICCC 2006), August 20-22, 2006, Tallinn, Estonia, pp. 281-286 |
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| [25] | M. A. Mazurowski, P. M. Szecowka, Limitations of sensitivity analysis for neural networks in cases with dependent inputs, Proceedings of the 4th IEEE International Conference on Computational Cybernetics (ICCC 2006), August 20-22, 2006, Tallinn, Estonia, pp. 299-303 |
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| [26] | P. M. Szecowka, A. Szczurek, M. A. Mazurowski, B. W. Licznerski and F. Pichler, Neural network sensitivity analysis applied for the reduction of the sensor matrix, Lecture Notes in Computer Science 3643, pp. 27-32, 2005 |
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| [27] | P. M. Szecowka, A. Szczurek, M. Mazurowski, B. W. Licznerski, Neural network sensitivity analysis approach for gas sensor array optimisation, Proceedings of the Eleventh International Symposium on Olfaction and Electronic Nose (ISOEN 2005), 2005, Barcelona, Spain, pp. 97--100 |
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Edited volumes |
| M. A. Mazurowski, J. M. Zurada, J. Wojtusiak, R. Ragade, J. Gentle, A. Abdullin (Eds.), Proceedings of the 2008 Workshop on Building Computational Intelligence and Machine Learning Virtual Organizations (Fairfax, VA, USA, October 2008) |
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