2016 · 2015 · 2014 · 2013 · 2012 · 2011 · 2010 · 2009 · 2008 · 2007 · 2006 · 2005 · 2004 · 2003 · 2002 · 2001 · 2000 · 1999 · 1998 · 1997 · 1996
Ayinde, B.O., and Zurada, J. M., Clustering of Receptive Fields in Autoencoders, Proc. of International Joint Conference on Neural Networks, Vancouver, Canada, July 24-29, 2016, pp. 1310-1317
Ayinde, B.O., Hosseini-Asl, E. and Zurada, J. M., Visualizing and Understanding Non-negativity Constrained Sparse Autoencoders in Deep Learning”, Lecture Notes in Computer Science, vol.9692, Springer International Publishing, Proc. of International Conference on Artificial Intelligence and Soft Computing, Zakopane, Poland, June 12-16, 2016, pp. 3-14
Bilski, J., Kowalczyk, B., and Zurada, J. M., Application of the Givens Rotations in the Neural Network Learning Algorithm, Lecture Notes in Computer Science, vol.9692, Springer International Publishing, Proc. of International Conference on Artificial Intelligence and Soft Computing, Zakopane, Poland, June 12-16, 2016, pp. 46-56.
Hou, L., Kwok, J., Zurada, J.M., Learning of Timeseries Shapelets, 30th AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, Arizona, February 12-17, 2016, pp. 1209-1215
Hosseini-Asl, E., Zurada, J. M., El-Baz, A., Automatic segmentation of pathological lung using incremental nonnegative matrix factorization, Proc. of the 2015 IEEE International Conference on Image Processing (ICIP’15), Quebec City, Canada, Sept.27-30, 2015, pp.3111-3115
Bilski, J., Smolag, J., Zurada, J.M., Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks, Proc. of Int’l Conf. on Artificial Intelligence and Soft Computing (ICAISC’15), Zakopane, Poland, June 14-18, 2015, ser. Lecture Notes in Computer Science, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. Zadeh, and J. M. Zurada, Eds. Springer International Publishing, 2015, vol. 9119, pp 3-14, DOI 10.1007/978-3-319-19324-3_1
Hosseini-Asl, E., J.M. Zurada, Lung Segmentation Based on Nonnegative Matrix Factorization, Proc. of IEEE International Conference on Image Processing (ICIP’14), Paris, France, October 27-30, 2014, pp. 877-881
Luca, V. D., Hosseini-Asl, E., Graziani, S., J.M. Zurada, Neural modeling of relative humidity on IP2C vibrating transducer,Procedia Engineering, EUROSENSORS 2014, Proc. of the 28th European Conference on Solid-State Transducers, Brescia, Italy, September 7-10, 2014, vol. 87, pp. 424-427
Zhou, W., J.M. Zurada, A New Stability Condition for Discrete Time Linear Threshold Recurrent Neural Networks, Proc. of 5th Int’l Conference on Intelligent Control and Information Processing (ICICIP’14), Dalian, China, August 18-20, 2014, pp. 96-99
Zhou, W., J.M. Zurada, A New Stability Condition for Discrete Time Recurrent Neural Networks with Complex-valued Linear Threshold Neurons, Proc. of the 2014 IEEE World Congress on Computational Intelligence (IEEE WCCI’14), Beijing, China, July 6-11, 2014, pp. 3406-3409
Wang, J., J.M. Zurada, Wang, G., Xie, G., Boundedness of Weight Elimination for BP Neural Networks, Proc. of Int’l Conf. on Artificial Intelligence and Soft Computing (ICAISC’14), Zakopane, Poland, June 1-5, 2014, in Artificial Intelligence and Soft Computing, ser. Lecture Notes in Computer Science, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. Zadeh, and J. M. Zurada, Eds. Springer International Publishing, 2014, vol. 8467, pp. 155-165
Hosseini-Asl, E., J.M. Zurada, Nonnegative Matrix Factorization for Document Clustering: A Survey, Proc. of Int’l Conf. on Artificial Intelligence and Soft Computing (ICAISC’14), Zakopane, Poland, June 1-5, 2014, in Artificial Intelligence and Soft Computing, ser. Lecture Notes in Computer Science, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. Zadeh, and J. M. Zurada, Eds. Springer International Publishing, 2014, vol. 8468, pp. 726-737
J.M. Zurada, Ensari, T., Hosseini-Asl, E., Chorowski, J., Nonnegative Matrix Factorization and Its Application to Pattern Analysis and Text Mining, Proc. of the Federated Conference on Computer Science and Information Systems (FedCIS’13), Krakow, Poland, September 8-11, 2013, pp. 11-16, 2013 (Invited Plenary)
J. Chorowski, J.M. Zurada, Obtaining full regularization paths for robust sparse coding with applications to face recognition, Proc. of the International IEEE Conference on Machine Learning and Applications (ICMLA 2012), December 12-15, 2012, Boca Raton, Florida, USA, pp. 356 – 361
T. Ensari, J. Chorowski, J.M. Zurada, Occluded Face Recognition Using Correntropy-based Nonnegative Matrix Factorization, Proc. of the International IEEE Conference on Machine Learning and Applications (ICMLA 2012), December 12-15, 2012, Boca Raton, Florida, USA, pp. 606 – 609
T. Ensari, J. Chorowski, J.M. Zurada, Correntropy-based Document Clustering via Nonnegative Matrix Factorization, Proc. of the 22nd International Conference on Artificial Neural Networks (ICANN�12), Lausanne, Switzerland, September 11-14, 2012, Springer Lecture Notes in Computer Science, vol. 7553, pp. 347-354
J. Wang, W. Wu, J.M. Zurada, Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks, International Symposium on Neural Networks (ISNN 2012), Shenyang, China, July 11-15, 2012, published in J. Wang, G.G. Yen, and M.M. Polycarpou (Eds.): ISNN 2012, Part I, LNCS 7367, pp. 545�554, 2012, Springer-Verlag Berlin Heidelberg 2012
L. Pietruczuk, J.M. Zurada, Learning in a Time-Varying Environment by Making Use of the Stochastic Approximation and Orthogonal Series-Type Kernel Probabilistic Neural Network, Parallel Processing and Applied Mathematics, 2012, Lecture Notes in Computer Science, Springer Verlag, vol. 7203, pp. 539-548
J.M. Zurada, M. Jaworski, Weak Convergence of the Recursive Parzen-Type Probabilistic Neural Network in a Non-stationary Environment, Parallel Processing and Applied Mathematics, 2012, Lecture Notes in Computer Science, , Springer Verlag, vol. 7203, pp. 521-529
P. Duda, J.M. Zurada, On the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise, Parallel Processing and Applied Mathematics, 2012, Lecture Notes in Computer Science, Springer Verlag, vol. 7203, pp. 435-442
Chorowski, J., , Zurada, J.M., Top-Down Induction of Reduced Ordered Decision Diagrams from Neural Networks, Proc. of International Conference on Artificial Neural Networks (ICANN 2011), Espoo, Finland, June 14-17, 2011, Springer Lecture Notes in Computer Science, vol. 6792, pp. 309-316
Wang J., Wu W., J.M. Zurada, Boundedness and Convergence of MPN for Cyclic and Almost Cyclic Learning with Penalty, Proc. of the 2011 International Joint Conf. on Neural Networks (IJCNN 2011), San Jose, California, July 31-August 5, 2011, pp.125-132
S.S. Kavuri, J.M Zurada, J. C. Rajapakse, Evolutionary Approach to ICA-R, Proc. of the WCCI 2010 IEEE World Congress on Computational Intelligence, July 18-23, 2010, Barcelona, Spain, pp.1845-50
W.Kacalak, M. Majewski, J.M. Zurada, Intelligent E-learning Systems for Evaluation of User’s Knowledge and Skills with Efficient Information Processing, Proc. of the 10th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2010), Zakopane, Poland, June 13-17, 2010, L. Rutkowski et al (Eds.), Lecture Notes in Computer Science Springer 6113-6114, 2010, pp. 508-515
W. Zhou, J.M. Zurada, Discrete-Time Recurrent Neural Networks for Medical Image Segmentation Based on Competitive Layer Model with LT Neurons, Proc. of 2010 International Conference on Biomedical Engineering and Computer Science (ICBECS), Wuhan, China, 23-25 April 2010, DOI 10.1109/ICBECS.2010.5462290
M.-J. Kang, C.-J. Boo, H.-C. Kim, J.M. Zurada: Estimating Soil Parameters Using the Kernel Function, Proc. of International Conference on Computational Science and Its Applications (ICCSA 2010), Fukuoka, Japan, March 23-26, 2010, D. Taniar et al. (Eds.), Lecture Notes in Computer Science Springer 6017, 2010, Part II, pp. 110-118
J. Wojtusiak, J. M. Zurada, Automated Computational Intelligence and Machine Learning Advising in Healthcare, Proc. of the American Medical Informatics Annual Symposium, Washington, DC, November 13-17, 2010, pp.1310
Wojtusiak, J., Zurada, J.M., Malof, J.M., Mehta, D., Moidu, K., Toward VO-based Collaboration between Computational Intelligence – Machine Learning and Healthcare Communities, Intelligent Systems Conference, Krakow, Poland, June 15-18, 2009, paper published in Advances in Intelligent Information Systems, Klopotek, M.A., Przepiórkowski, A., Wierzchon, S.T. and Trojanowski, K. (Eds.), Academic Publishing House EXIT, Warsaw, Poland, 2009, pp.507-18
W. Zhou, J.M. Zurada, A Class of Discrete-Time Recurrent Neural Networks with Multivalued Neurons, Proc. of the 2009 Intl Joint Conf. on Neural Networks (IJCNN 2009), Atlanta, Georgia, June 15-18, 2009, pp.3555-58
A. Slowik, J.M. Zurada, Evolutionary Optimization of Number of Gates in PLA Circuits Implemented in VLSI Circuits, European Workshops on Applications of Evolutionary Computation, Tuebingen, Germany, April 15-17, 2009, Springer Lecture Notes in Computer Science, vol. 5484, pp.363-368
M.A.Mazurowski, J.Malof, J.M. Zurada,G.D.Tourassi, A comparative study of database reduction methods for case-based computer-aided detection systems: preliminary results, Proc. of SPIE, Medical Imaging 2009: Computer-Aided Diagnosis, February 7-12, 2009, Orlando, FL, vol. 7260, 72600F
J.M. Zurada, J. Wojtusiak, M.M. Mazurowski, D.Mehta, K. Moidu, S. Margolis, “Toward Multidisciplinary Collaboration in the CIML Virtual Community”, Proc. NSF Workshop ‘Building Computational Intelligence and Machine Learning Virtual Organizations’ George Mason University, Fairfax, Virginia, October 24, 2008
C. Boyle, A. Abdullin, R. Ragade, M.A. Mazurowski, J. Wojtusiak, J.M. Zurada, “Workflow considerations in the emerging CI-ML virtual organization”, Proc. NSF Workshop ‘Building Computational Intelligence and Machine Learning Virtual Organizations’ George Mason University, Fairfax, Virginia, October 24, 2008
M. N. Nguyen, J. M. Zurada, J. C. Rajapakse, “Extracting Decision Rules in Predicting of Protein Secondary Structure”, Proc. of the 8th IEEE International Conference on BioInformatics and BioEngineering (IEEE BIBE 2008), Athens, Greece, October 8-10, 2008
K.G. Davis, Y. Hou, W.S. Marras, W.Karwowski, J.M. Zurada, and S.E. Kotowski, “Utilization of a Hybrid Neuro-Fuzzy Engine to Predict Trunk Muscle Activity for Sagittal Lifting”, Proc. 52th Human Factors and Ergonomics Society Meeting, September 22-26, New York
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, pp.I15-20
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, Arizona, Lecture Notes in Computer Science, vol. 5116/2008, pp.366-370
J.M. Zurada, J. Wojtusiak, F. Chowdhury, J. E. Gentle, J. Cedric, “Computational Intelligence Virtual Community: Framework and Implementation Issues“, Proc. of the International Joint Conference on Neural Networks (IJCNN 2008), June 1-6, 2008, Hong Kong, pp.3152-3156
L.P. Tay, J.M. Zurada, L.P. Wong, “HieNet Architecture using the K-Iterations Fast Learning Artificial Neural Networks“, Proc. of the International Joint Conference on Neural Networks (IJCNN 2008), June 1-6, 2008, Hong Kong, pp.339-346
M.A. Mazurowski, B.P. Harrawood, J.M. Zurada, G.D. Tourassi, “Towards Perceptually Driven Image Retrieval in Mammography: A Pilot Observer Study to Assess Visual Similarity of Masses“, Proc. of the SPIE Conference, Medical Imaging 2008:Image Perception, Observers Performance and Technology Assessment, San Diego, California, February 16-21, 2008, vol.6197, 69170I
M.A. Mazurowski, J.M. Zurada, G.D. Tourassi, “Database Decomposition of a Knowledge Base CAD System in Mammography; an Ensemble Approach to Improve Detection Performance“, Proc. of the SPIE Conference, Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, California, February 16-21, 2008, vol.6915, 69151K
J. M. Zurada, J. Wojtusiak, J. Gentle, F. Chowdhury, R. Ragade, C. Jeannot, “Computational Intelligence and Machine Learning Virtual Infrastructure Network (CIMLVIN)“, Poster, National Science Foundation Workshop on Building Effective Virtual Organizations, Washington, D.C., January 14-16, 2008
J. M. Zurada, I. Aizenberg, “Fully Coupled and Feedforward Neural Networks with Complex-valued Neurons,” in Proc. 1st Intern. Conf. in Intelligent and Distributed Computing, Craiova, Romania, October 18-19, 2007, pp. 41-50.
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,” Proc. of IEEE Congress on Evolutionary Computation, Singapore, September 26-28, 2007, pp.600-605.
M. A. Mazurowski and J. M. Zurada, “Solving decentralized multi-agent control problems with genetic algorithms,” Proc. of IEEE Congress on Evolutionary Computation, Singapore, September 26-28, 2007, pp. 1029-1034.
I. Aizenberg, J. M. Zurada, “Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN),” Proc. of the International Conference on Neural Networks, Porto, Portugal, September 9-13, 2007, pp. 874-883.
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,” Proc. International Joint Conference on Neural Networks, Orlando, FL, August 12-17, 2007, pp. 2005-2009.
P. A. Estevez, R. Zilleruelo-Ramos, and J. M. Zurada, “Window Merge Neural Gas for Processing Pattern Sequence,” Proc. Int. Joint Conference on Neural Networks, Orlando, FL, August 12-17, 2007, pp. 2069 – 2074.
A. E. Gaweda, M. K. Muezzinoglu, J. M. Zurada, and M. E. Brier, “Adaptive Prediction of Patient Response to Erythropoietin using Neural Network Ensemble,” Proc. Int. Joint Conference on Neural Networks, Orlando, FL, August 12-17, 2007, pp. 2268-2270.
M.-J. Kang, H.-C. Kim, W.-C. Song, H.-S. Ko, J. M. Zurada, “Differences in Input Space Stability Between Using the Inverted Output of Amplifier and Negative Conductance fro Inhibitory Synapse,” Proc. Int. Symposium on Neural Networks, Nanjing, China, June 3-7, 2007, pp. 1015-1024.
M. A. Mazurowski, J. M. Zurada, “Solving multi-agent control problems using particle swarm optimization,” in Proc. IEEE Swarm Intelligence Symposium 2007, Honolulu, HI, April 1-5, 2007, pp. 105-111.
P. A. Habas, J. M. Zurada, A. S. Elmaghraby, and G. D. Tourassi, “Particle swarm optimization of neural network CAD systems with clinically relevant objectives,” in Proc. SPIE Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, CA, February 17-22, 2007, pp. 65140M.
P. A. Habas, J. M. Zurada, A. S. Elmaghraby, and G. D. Tourassi, “Probabilistic framework for reliability analysis of information-theoretic CAD systems in mammography,” in Proc. 28th Annual International Conference IEEE Engineering in Medicine and Biology Society, New York, NY, August 30 – September 3, 2006, pp. 6113-6116.
M. A. Mazurowski and J. M. Zurada, “Emergence of communication in multi-agent systems using reinforcement learning,” in Proc. 4th IEEE International Conference on Computational Cybernetics, Tallin, Estonia, August 20-22, 2006, pp. 1-6.
Y. Hou, J. M. Zurada, W. Karwowski, and W. S. Marras, “Identification of low back injury from EMG signals using a neural network model,” in Proc. International Joint Conference on Neural Networks, Vancouver, Canada, July 16-21, 2006, pp. 5308-5315.
W. Liu, H. Shi, L. Wang, and J. M. Zurada, “Chaotic cellular neural networks with negative self-feedback,” in Proc. 8th International Conference on Artificial Intelligence and Soft Computing, Zakopane, Poland, June 25-29, 2006, pp. 66-75.
M.-J. Kang, H.-C. Kim, F. A. Khan, W.-C. Song, and J. M. Zurada, “Convergence analysis of continuous-time neural networks,” in Proc. 3rd International Symposium on Neural Networks, Chengdu, China, May 28 – June 1, 2006, pp. 100-108.
P. A. Habas, J. M. Zurada, A. S. Elmaghraby, and G. D. Tourassi, “Confidence-based stratification of CAD recommendations with application to breast cancer detection,” in Proc. SPIE Medical Imaging: Image Processing, San Diego, CA, February 11-16, 2006, pp. 1759-1766.
A. E. Gaweda, M. K. Muezzinoglu, G. R. Aronoff, A. A. Jacobs, J. M. Zurada, and M. E. Brier, “Incorporating prior knowledge into Q-learning for drug delivery individualization,” in Proc. International Conference on Machine Learning and Applications, Los Angeles, CA, December 15-17, 2005, pp. 207-214.
Y. Hou, J. M. Zurada, W. Karwowski, and W. S. Marras, “A hybrid neuro-fuzzy approach for spinal force evaluation in manual materials handling tasks,” in Proc. 1st International Conference on Natural Computation, Changsha, China, August 27-29, 2005, pp. 1216-1225.
Y. Hou, J. M. Zurada, W. Karwowski, and W. S. Marras, “A fuzzy approach for key variables identification of EMG evaluation system,” in Proc. International Joint Conference on Neural Networks, Montreal, Canada, July 31 – August 4, 2005, vol. 4, pp. 2520-2525.
M. K. Muezzinoglu and J. M. Zurada, “A recurrent RBF network model for nearest neighbor classification,” in Proc. International Joint Conference on Neural Networks, Montreal, Canada, July 31 – August 4, 2005, vol. 1, pp. 343-348.
A. E. Gaweda, M. K. Muezzinoglu, G. R. Aronoff, A. A. Jacobs, J. M. Zurada, and M. E. Brier, “Reinforcement learning approach to individualization of chronic pharmacotherapy,” in Proc. International Joint Conference on Neural Networks, Montreal, Canada, July 31 – August 4, 2005, vol. 5, pp. 3290-3295.
M. K. Muezzinoglu and J. M. Zurada, “Recurrent nearest neighbor classification using RBF functions,” 1st Polish and International PD Forum AND Conference on Computer Science, Bronislawow, Poland, April 11-14, 2005.
P. A. Habas, G. D. Tourassi, N. H. Eltonsy, A. S. Elmaghraby, and J. M. Zurada, “A novel technique for assessing the case-specific reliability of decisions made by CAD tools,” in Proc. SPIE Medical Imaging: Image Processing, San Diego, CA, February 12-17, 2005, pp. 124-131.
Y. Hou, J. M. Zurada, and W. Karwowski, “Prediction of dynamic forces on lumbar joint using a recurrent neural network model,” in Proc. International Conference on Machine Learning and Applications, Louisville, KY, December 16-17, 2004, pp. 360-365.
N. Hemachand, J. M. Zurada, and A. G. Lozowski, “Simulation of information observed in an olfactory bulb,” in Proc. Artificial Neural Networks in Engineering Conference, St. Louis, MO, November 7-10, 2004, pp. 791-802.
J. S. Kirk and J. M. Zurada, “Topography-enhanced BMU search in self-organizing maps,” in Proc. IEEE International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, pp. 695-700.
Y. Hou, J. M. Zurada, and W. Karwowski, “Prediction of EMG signals of trunk muscles in manual lifting using a neural network model,” in Proc. International Joint Conference on Neural Networks, Budapest, Hungary, July 25-29, 2004, 1935-1940.
M. K. Muezzinoglu and J. M. Zurada, “Projection-based gradient descent training of radial basis function networks,” in Proc. International Joint Conference on Neural Networks, Budapest, Hungary, July 25-29, 2004, vol. 2, pp. 1297-1302.
T. G. Smolinski, D. L. Chenoweth, and J. M. Zurada, “Application of rough sets and neural networks to forecasting university facility and administrative cost recovery,” in Proc. 7th International Conference on Artificial Intelligence and Soft Computing, Zakopane, Poland, June 7-11, 2004, pp. 538-543.
G. M. Boratyn, T. G. Smolinski, M. Milanova, S. Bhattacharyya, L. J. Suva, and J. M. Zurada, “Hybridization of blind source seperation and rough sets for proteomic biomarker identification,” in Proc. 7th International Conference on Artificial Intelligence and Soft Computing, Zakopane, Poland, June 7-11, 2004, pp. 486-491.
G. M. Boratyn, T. G. Smolinski, M. Milanova, J. M. Zurada, S. Bhattacharyya, and L. J. Suva, “Bayesian approach to analysis of protein patterns for identification of myeloma cancer,” in Proc. 2nd International Conference on Machine Learning and Cybernetics, Xi’an, China, November 2-5, 2003, pp. 1217-1221.
J. Bilski, J. Smolag, and J. M. Zurada, “Systolic architectures for soft computing algorithms,” in Proc. 5th International Conference on Parallel Processing and Applied Mathematics, Czestochowa, Poland, September 7-10, 2003, pp. 601-608.
M. K. Muezzinoglu and J. M. Zurada, “A new design method for complex-valued multistate Hopfield associative memory,” in Proc. International Joint Conference on Neural Networks, Portland, OR, July 20-24, 2003, vol. 1, pp. 45-50.
G. M. Boratyn, T. G. Smolinski, M. Milanova, J. M. Zurada, S. Bhattacharyya, and L. J. Suva, “Scoring-based analysis of protein patterns for identification of myeloma cancer,” in Proc. International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, Las Vegas, NV, June 23-26, 2003, pp. 60-65.
T. G. Smolinski, D. L. Chenoweth, and J. M. Zurada, “Time series prediction using rough sets and neural networks hybrid approach,” in Proc. IASTED International Conference on Neural Networks and Computational Intelligence, Cancun, Mexico, May 19-21, 2003, pp. 108-111.
M. K. Muezzinoglu, C. Guzelis, and J. M. Zurada, “Construction of energy landscape for discrete Hopfield associative memory with guaranteed error correction capability,” in Proc. 1st International IEEE EMBS Special Topic Conference on Neural Engineering, Capri, Italy, March 20-22, 2003, pp. 320-323.
R. Smolikova, M. P. Wachowiak, and J. M. Zurada, “Parameter estimation of generalized backscatter models using entropy maximization,” in Proc. SPIE Medical Imaging 2003, San Diego, CA, February 23-26, 2003, pp. 480-490.
R. Smolikova, M. P. Wachowiak, G. D. Tourassi, A. S. Elmaghraby, and J. M. Zurada, “Characterization of ultrasonic backscatter based on generalized entropy,” in Proc. 2nd IEEE EMBS/BEMS Joint Conference, Houston, TX, October 23-26, 2002, vol. 2, pp. 953-954.
T. G. Smolinski, G. M. Boratyn, M. Milanova, J. M. Zurada, and A. Wrobel, “Evolutionary algorithms and rough sets-based hybrid approach to classificatory decomposition of cortical evoked potentials,” in Proc. 3rd International Conference on Rough Sets and Current Trends in Computing, Malvern, PA, October 14-16, 2002, pp. 621-628.
M. Milanova, T. G. Smolinski, G. M. Boratyn, J. M. Zurada, and A. Wrobel, “Sparse correlation kernel analysis and evolutionary algorithm-based modeling of the sensory activity within the rat’s barrel cortex,” in Proc. 1st International Workshop on Pattern Recognition with Support Vector Machines, Niagara Falls, Canada, August 10, 2002, pp. 198-212.
R. Smolikova, M. P. Wachowiak, J. M. Zurada, A. S. Elmaghraby, “Segmentation of ultrasound images with speckle modeling,” in Proc. 15th International EURASIP Conference, Brno, Czech Republic, June 26-28, 2002, pp. 316-319.
A. E. Gaweda, J. M. Zurada, and P. B. Aronhime, “Efficient data-driven modeling with fuzzy relational rule network,” in Proc. IEEE International Conference on Fuzzy Systems, Honolulu, HI, May 12-17, 2002, vol. 1, pp. 174-178.
J. S. Kirk and J. M. Zurada, “Motivation for a genetically-trained topography-preserving map,” in Proc. International Joint Conference on Neural Network, Honolulu, HI, May 12-17, 2002, vol. 1, pp. 394-399.
M. Lisetskiy, J. M. Zurada, and A. Lozowski, “Bifurcation-based neural computation,” in Proc. International Joint Conference on Neural Networks, Honolulu, HI, May 12-17, 2002, vol. 3, pp. 2716-2720.
R. Smolikova, M. P. Wachowiak, G. D. Tourassi, and J. M. Zurada, “Neural estimation of scatterer density in ultrasound,” in Proc. International Joint Conference on Neural Networks, Honolulu, HI, May 12-17, 2002, vol. 2, pp. 1696-1701.
M. P. Wachowiak, R. Smolikova, J. M. Zurada, and A. S. Elmaghraby, “A supervised learning approach to landmark-based elastic biomedical image registration and interpolation,” in Proc. International Joint Conference on Neural Networks, Honolulu, HI, May 12-17, 2002, vol. 2, pp. 1625-1630.
A. E. Gaweda and J. M. Zurada, “Data-driven design of fuzzy system with relational input partition,” in Proc. IEEE International Conference on Fuzzy Systems, Melbourne, Australia, December 2-5, 2001, vol. 2, pp. 610-613.
A. E. Gaweda, J. M. Zurada, and R. Setiono, “Input selection in data-driven fuzzy modeling,” in Proc. IEEE International Conference on Fuzzy Systems, Melbourne, Australia, December 2-5, 2001, vol. 3, pp. 1251-1254.
A. E. Gaweda and J. M. Zurada, “Equivalence between neural networks and fuzzy systems,” in Proc. International Joint Conference on Neural Networks, Washington, DC, July 16-19, 2001, vol. 2, pp. 1334-1339.
J. S. Kirk, D-J. Chang, and J. M. Zurada, “A self-organizing map with dynamic architecture for efficient color quantization,” in Proc. International Joint Conference on Neural Networks, Washington, DC, July 16-19, 2001, vol. 3, pp. 2128-2132.
J. S. Kirk and J. M. Zurada, “An evolutionary method of training topography preserving maps,” in Proc. International Joint Conference on Neural Networks, Washington, DC, July 16-19, 2001, vol. 3, pp. 2230-2234.
M. Lysetskiy and J. M. Zurada, “Temporal binding, segmentation and attention focusing in the olfactory model,” in Proc. International Joint Conference on Neural Networks, Washington, DC, July 16-19, 2001, vol. 2, pp. 1095-1100.
R. Smolikova, M. P. Wachowiak, A. S. Elmaghraby, and J. M. Zurada, “A neural network approach for estimating large K distribution parameters,” in Proc. International Joint Conference on Neural Networks, Washington, DC, July 16-19, 2001, vol. 3, pp. 2139-2143.
M. P. Wachowiak, A. S. Elmaghraby, R. Smolikova, and J. M. Zurada, “Generalized regression neural networks for biomedical image interpolation,” in Proc. International Joint Conference on Neural Networks, Washington, DC, July 16-19, 2001, pp. 2133-2138.
M. P. Wachowiak, R. Smolikova, J. M. Zurada, and A. S. Elmaghraby, “Classification and estimation of ultrasound speckle noise with neural networks,” in Proc. IEEE International Symposium on Bioinformatics and Biomedical Engineering, Washington, DC, November 8-11, 2000, pp. 245-252.
M. P. Wachowiak, R. Smolikova, J. M. Zurada, and A. S. Elmaghraby, “A neural approach to speckle noise modeling,” in Proc. Artificial Neural Networks in Engineering Conference, St. Louis, MO, November 5-8, 2000, pp. 837-842.
R. Smolikova, M. P. Wachowiak, A. S. Elmaghraby, and J. M. Zurada, “A neuro-statistical approach to ultrasound speckle modeling,” in Proc. 13th International Conference on Computer Applications in Industry and Engineering, Honolulu, HI, November 1-3, 2000, pp. 94-97.
J. S. Kirk and J. M. Zurada, “A two-stage algorithm for improving topography preservation in self-organizing maps,” in Proc. IEEE International Conference on Systems, Man, and Cybernetics, Nashville, TN, October 8-11, 2000, vol. 4, pp. 2527-2532.
H. Wakuya, K. Shida, and J. M. Zurada, “Bi-directionalization of neural computing architecture for time series prediction: application to computer-generated series: <Data Set D>,” in Proc. 6th International Conference on Soft Computing, Iizuka, Japan, October 1-4, 2000.
R. Smolikova, G. H. Mostafa, J. M. Zurada, and A. A. Farag, “Classification of multispectral data using neural networks,” in Proc. Euro-International Symposium on Computational Intelligence, Kosice, Slovakia, August 30 – September 1, 2000, pp. 426-431.
A. E. Gaweda and J. M. Zurada, “Fuzzy neural network with relational fuzzy rules,” in Proc. International Joint Conference on Neural Networks, Como-Cernobio, Italy, July 24-27, 2000, vol. 5, pp. 3-7.
H. Wakuya and J. M. Zurada, “Time series prediction by a neural network model based on the bi-directional computational style,” in Proc. International Joint Conference on Neural Networks, Como-Cernobio, Italy, July 24-27, 2000, vol. 2, pp. 225-230.
A. E. Gaweda, R. Setiono, and J. M. Zurada, “Rule extraction from feedforward neural network for function approximation,” in Proc. 5th National Conference on Neural Networks and Soft Computing, Zakopane, Poland, June 6-10, 2000, pp. 311-316.
J. M. Zurada, “Neural networks: binary, monotonic and multiple-valued,” in Proc. 30th IEEE International Symposium on Multiple-Valued Logic, Portland, OR, May 23-25, 2000, pp. 67-74.
T. Kondo, A. S. Pandya, and J. M. Zurada, “GMDH-type neural networks with a feedback loop and their application to nonlinear system identification,” in Proc. Smart Engineering System Design Conference, St. Louis, MO, November 7-10, 1999.
J. S. Kirk and J. M. Zurada, “Algorithms for improved topology preservation in self-organizing maps,” in Proc. IEEE International Conference on Systems, Man and Cybernetics, Tokyo, Japan, October 12-15, 1999, vol. 3, pp. 396-400.
T. Kondo, A. S. Pandya, and J. M. Zurada, “Logistic GMDH-type neural networks and their application to the identification of the X-ray film characteristic curve,” in Proc. IEEE International Conference on Systems, Man and Cybernetics, Tokyo, Japan, October 12-15, 1999, vol. 1, pp. 437-442.
T. Kondo, A. S. Pandya, and J. M. Zurada, “Logistic GMDH-type neural networks and their application to the medical image recognition of the lungs,” in Proc. Annual Conference of Japanese Society of the Instrumentation and Control Engineering, Morioka, Japan, July 28-30, 1999.
A. E. Gaweda and J. M. Zurada, “Application of self-organizing network and MLP for fuzzy rule extraction,” in Proc. International Joint Conference on Neural Networks, Washington, DC, July 10-16, 1999, vol. 6, pp. 4289-4293.
P. Lada, M. E. Brier, and J. M. Zurada, “Therapeutic drug dosing prediction using adaptive models and artificial neural networks,” in Proc. International Joint Conference on Neural Networks, Washington, DC, July 10-16, 1999, vol. 5, pp. 3669-3673.
A. Lozowski, R. Komendarczyk, and J. M. Zurada, “Hamiltonian vector field for the Lorenz invariant set,” in Proc. International Joint Conference on Neural Networks, Washington, DC, July 10-16, 1999, vol. 1, pp. 404-408.
T. J. Cholewo and J. M. Zurada, “Second order derivatives in dynamic neural networks,” in Proc. 6th International Conference on Fuzzy Logic, Neural Nets and Soft Computing, Iizuka, Japan, October 16-20, 1998, pp. 179-182.
A. Lozowski and J. M. Zurada, “Chaos characterization with unstable periodic orbits of a Hamiltonian system,” in Proc. 6th International Conference on Fuzzy Logic, Neural Nets and Soft Computing, Iizuka, Japan, October 16-20, 1998, pp. 896-899.
A. Lozowski and J. M. Zurada, “Embedding strange attractors in conservative dynamics,” in Proc. International Symposium on Nonlinear Theory and Applications, Crans-Montana, Switzerland, September 14-17, 1998, pp. 1193-1196.
T. J. Cholewo and J. M. Zurada, “Second order derivatives in feedforward FIR neural networks,” in Proc. International Joint Conference on Neural Networks, Anchorage, Alaska, May 5-9, 1998, vol. 2, pp. 1074-1077.
J. M. Zurada and A. Lozowski, “Multivalued memory and design centering for building intelligent interfaces,” in Proc. International Workshop on Future Intelligent Interface Devices, Beppu, Japan, January 19-22, 1998.
T. J. Cholewo, J. M. Zurada, and A. Cichocki, “Exact gradient calculation in gamma neural networks,” in Proc. International Symposium on Nonlinear Theory and Applications, Honolulu, HI, November 29 – December 2, 1997, pp. 767-770.
A. Lozowski and J. M. Zurada, “Synthesis of oscillatory dynamical system in Hamiltonian coordinates with neural networks,” in Proc. 2nd International CS Conference on Soft Computing, Nimes, France, September 17-19, 1997, pp. 171-175.
T. J. Cholewo and J. M. Zurada, “Neural network tools for stellar light prediction, in Proc. IEEE Aerospace Conference, Aspen, CO, February 1-8, 1997, vol. 3, pp. 415-422.
J. M. Zurada, A. Lozowski and A. Malinowski, “Design centering in GaAs IC manufacturing,” in Proc. IEEE Aerospace Conference, Aspen, CO, February 1-8, 1997, vol. 2, pp. 435-447.
T. J. Cholewo and J. M. Zurada, “Sequential network construction for time series prediction,” in Proc. International Joint Conference on Neural Networks, Houston, TX, June 9-12, 1997, vol. 4, pp. 2034-2038.
H. M. Deif and J. M. Zurada, “Inverse mapping of continuous functions using feedforward neural networks,” in Proc. International Joint Conference on Neural Networks, Houston, TX, June 9-12, 1997, vol. 2, pp. 744-748.
D. A. Miller and J. M. Zurada, “Dynamics of structural learning with an adaptive forgetting rate,” in Proc. International Joint Conference on Neural Networks, Houston, TX, June 9-12, 1997, vol. 3, pp. 1827-1832.
J. M. Zurada, A. Lozowski, and A. Malinowski, “Yield improvement in GaAs IC manufacturing using neural network inverse modeling,” in Proc. International Joint Conference on Neural Networks, Houston, TX, June 9-12, 1997, vol. 2, pp. 800-805.
J. M. Zurada and A. Lozowski, “Generating linguistic rules from data using neuro-fuzzy framework,” in Proc. 4th International Conference on Soft Computing, Iizuka, Japan, September 30 – October 5, 1996, pp. 618-621.
A. Lozowski, T. J. Cholewo, and J. M. Zurada, “Crisp rule extraction from perceptron network classifiers,” in Proc. IEEE International Conference on Neural Networks, Washington, DC, June 3-6, 1996, Plenary, Panel and Special Sessions, pp. 94-99.
A. Malinowski, D. A. Miller, and J. M. Zurada, “Reduction of neural network models for identification and control of nonlinear systems,” in Proc. IEEE International Conference on Neural Networks, Washington, DC, June 3-6, 1996, vol. 4, pp. 2250-2254.
D. A. Miller, J. M. Zurada, and J. H. Lilly, “Pruning via dynamic adaptation of the forgetting rate in structural learning,” in Proc. IEEE International Conference on Neural Networks, Washington, DC, June 3-6, 1996, vol. 1, pp. 448-452.
S. Jankowski, A. Lozowski, and J. M. Zurada, “Layer interactions in multivalued neural associative memory,” in Proc. IEEE International Symposium on Circuits and Systems, Atlanta, GA, May 12-15, 1996, vol. 3, pp. 389-392.
L. J. Lata, P. B. Aronhime, B. J. Maundy, and J. M. Zurada, “Issues in the synthesis of voltage- , current-, and voltage-current mode circuits,” in Proc. IEEE International Symposium on Circuits and Systems, Atlanta, GA, May 12-15, 1996, vol. 1, pp. 337-340.
A. Lozowski, D. A. Miller, and J. M. Zurada, “Dynamics of error back propagation learning with pruning in the weight space,” in Proc. IEEE International Symposium on Circuits and Systems, Atlanta, GA, May 12-15, 1996, vol. 3, pp. 449-452.
A. Malinowski, T. J. Cholewo, J. M. Zurada, and P. B. Aronhime, “Inverse mapping with neural networks for control of nonlinear systems,” in Proc. IEEE International Symposium on Circuits and Systems, Atlanta, GA, May 12-15, 1996, vol. 3, pp. 453-456.
A. Lozowski, T. J. Cholewo, and J. M. Zurada, “Symbolic rule representation in neural network models,” in Proc. 2nd Conference on Neural Networks and Their Applications, Szczyrk, Poland, April 30 – May 4, 1996, pp. 300-305.
J. M. Zurada, “Applications of neural networks for aerospace-related technologies,” in Proc. IEEE Aerospace Applications Conference, Aspen, CO, February 3-10, 1996, vol. 2, pp. 279-286.