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Jacek M. Zurada: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Robert Kozma, Masaharu Kitamura, Aleksander Malinowski, Jacek M. Zurada
    On Performance Measures of Artificial Neural Networks Trained by Structural Learning with Forgetting. [Citation Graph (0, 0)][DBLP]
    ANNES, 1995, pp:22-25 [Conf]
  2. Mark P. Wachowiak, Adel Said Elmaghraby, Renata Smolíkova, Jacek M. Zurada
    Classification and Estimation of Ultrasound Speckle Noise with Neural Networks. [Citation Graph (0, 0)][DBLP]
    BIBE, 2000, pp:245-252 [Conf]
  3. Jacek M. Zurada
    Future Challenges in Soft Computing: Theory? Computational Paradigms? Applications? [Citation Graph (0, 0)][DBLP]
    FSKD, 2002, pp:11- [Conf]
  4. Adam E. Gaweda, Jacek M. Zurada
    Data-driven Design of Fuzzy System With Rational Input Partition. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:610-613 [Conf]
  5. Adam E. Gaweda, Jacek M. Zurada, Rudy Setiono
    Input Selection in Data-Driven Fuzzy Modelling. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:1251-1254 [Conf]
  6. Grzegorz M. Boratyn, Tomasz G. Smolinski, Jacek M. Zurada, Mariofanna G. Milanova, Sudeepa Bhattacharyya, Larry J. Suva
    Hybridization of Blind Source Separation and Rough Sets for Proteomic Biomarker Indentification. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2004, pp:486-491 [Conf]
  7. Andrzej Cichocki, Jacek M. Zurada
    Blind Signal Separation and Extraction: Recent Trends, Future Perspectives, and Applications. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2004, pp:30-37 [Conf]
  8. Wen Liu, Haixiang Shi, Lipo Wang, Jacek M. Zurada
    Chaotic Cellular Neural Networks with Negative Self-feedback. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2006, pp:66-75 [Conf]
  9. Tomasz G. Smolinski, Darrel L. Chenoweth, Jacek M. Zurada
    Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost Recovery. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2004, pp:538-543 [Conf]
  10. Yanfeng Hou, Jacek M. Zurada, Waldemar Karwowski, William S. Marras
    A Hybrid Neuro-fuzzy Approach for Spinal Force Evaluation in Manual Materials Handling Tasks. [Citation Graph (0, 0)][DBLP]
    ICNC (3), 2005, pp:1216-1225 [Conf]
  11. Jacek M. Zurada
    From Chaos to Organization: Neurodynamics of 2D Active Medium. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:12- [Conf]
  12. Adam E. Gaweda, Jacek M. Zurada
    Fuzzy Neural Network with Relational Fuzzy Rules. [Citation Graph (0, 0)][DBLP]
    IJCNN (5), 2000, pp:3-7 [Conf]
  13. Hiroshi Wakuya, Jacek M. Zurada
    Time Series Prediction by a Neural Network Model Based on the Bi-Directional Computation Style. [Citation Graph (0, 0)][DBLP]
    IJCNN (2), 2000, pp:225-230 [Conf]
  14. Gregory L. Creech, Jacek M. Zurada, Peter B. Aronhime
    Feedforward Neural Networks for Estimating IC Parametric Yield and Device Characterization. [Citation Graph (0, 0)][DBLP]
    ISCAS, 1995, pp:1520-1523 [Conf]
  15. Mehul Desai, Peter B. Aronhime, Jacek M. Zurada
    Current-Mode Network Transformations. [Citation Graph (0, 0)][DBLP]
    ISCAS, 1994, pp:599-602 [Conf]
  16. S. Jankowski, Andrzej Lozowski, Jacek M. Zurada
    Multivalued Neural Associative Memory. [Citation Graph (0, 0)][DBLP]
    ISCAS, 1995, pp:1148-1151 [Conf]
  17. Aleksander Malinowski, Tomasz J. Cholewo, Jacek M. Zurada
    Capabilities and Limitations of Feedforward Neural Networks with Multilevel Neurons. [Citation Graph (0, 0)][DBLP]
    ISCAS, 1995, pp:131-134 [Conf]
  18. Aleksander Malinowski, Jacek M. Zurada, Peter B. Aronhime
    Minimal Training Set Size Estimation for Neural Network-Based Function Approximation. [Citation Graph (0, 0)][DBLP]
    ISCAS, 1994, pp:403-406 [Conf]
  19. Syozo Yasui, Aleksander Malinowski, Jacek M. Zurada
    Convergence Suppression and Divergence Facilitation: New Approach to Prune Hidden Layer and Weights of Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISCAS, 1995, pp:121-124 [Conf]
  20. Jacek M. Zurada, Aleksander Malinowski, Ian Cloete
    Sensitivity Analysis for Minimization of Input Data Dimension for Feedforward Neural Network. [Citation Graph (0, 0)][DBLP]
    ISCAS, 1994, pp:447-450 [Conf]
  21. Jacek M. Zurada, Aleksander Malinowski, P. Przestrzelski
    Modified Hebbian learning rule for single layer learning. [Citation Graph (0, 0)][DBLP]
    ISCAS, 1993, pp:2407-2410 [Conf]
  22. Jacek M. Zurada
    Neural Networks: Binary Monotonic and Multiple-Valued. [Citation Graph (0, 0)][DBLP]
    ISMVL, 2000, pp:67-0 [Conf]
  23. James S. Kirk, Jacek M. Zurada
    Topography-Enhanced BMU Search in Self-Organizing Maps. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2004, pp:695-700 [Conf]
  24. Min-Jae Kang, Ho-Chan Kim, Farrukh Aslam Khan, Wang-Cheol Song, Jacek M. Zurada
    Convergence Analysis of Continuous-Time Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:100-108 [Conf]
  25. Andries Petrus Engelbrecht, Ian Cloete, Jaco Geldenhuys, Jacek M. Zurada
    Automatic Scaling using Gamma Learning for Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN, 1995, pp:374-381 [Conf]
  26. Andries Petrus Engelbrecht, Ian Cloete, Jacek M. Zurada
    Determining the Significance of Input Parameters using Sensitivity Analysis. [Citation Graph (0, 0)][DBLP]
    IWANN, 1995, pp:382-388 [Conf]
  27. Grzegorz M. Boratyn, Tomasz G. Smolinski, Mariofanna G. Milanova, Jacek M. Zurada, Sudeepa Bhattacharyya, Larry J. Suva
    Scoring-Based Analysis of Protein Patterns for Identification of Myeloma Cancer. [Citation Graph (0, 0)][DBLP]
    METMBS, 2003, pp:60-65 [Conf]
  28. Tomasz G. Smolinski, Darrel L. Chenoweth, Jacek M. Zurada
    Time Series Prediction using Rough Sets and Neural Networks Hybrid Approach. [Citation Graph (0, 0)][DBLP]
    Neural Networks and Computational Intelligence, 2003, pp:108-111 [Conf]
  29. Jaroslaw Bilski, Jacek Smolag, Jacek M. Zurada
    Systolic Architectures for Soft Computing Algorithms. [Citation Graph (0, 0)][DBLP]
    PPAM, 2003, pp:601-608 [Conf]
  30. Tomasz G. Smolinski, Grzegorz M. Boratyn, Mariofanna G. Milanova, Jacek M. Zurada, Andrzej Wrobel
    Evolutionary Algorithms and Rough Sets-Based Hybrid Approach to Classificatory Decomposition of Cortical Evoked Potentials. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2002, pp:621-628 [Conf]
  31. Mariofanna G. Milanova, Tomasz G. Smolinski, Grzegorz M. Boratyn, Jacek M. Zurada, Andrzej Wrobel
    Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity within the Rat's Barrel Cortex. [Citation Graph (0, 0)][DBLP]
    SVM, 2002, pp:198-212 [Conf]
  32. Mykola Lysetskiy, Andrzej Lozowski, Jacek M. Zurada
    Temporal-to-spatial dynamic mapping, flexible recognition, and temporal correlations in an olfactory cortex model. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2002, v:87, n:1, pp:58-67 [Journal]
  33. Jacek M. Zurada, Ian Cloete, Etienne van der Poel
    Generalized Hopfield networks for associative memories with multi-valued stable states. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1996, v:13, n:2-4, pp:135-149 [Journal]
  34. Jacek M. Zurada, Aleksander Malinowski, Shiro Usui
    Perturbation method for deleting redundant inputs of perceptron networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1997, v:14, n:2, pp:177-193 [Journal]
  35. Adam E. Gaweda, Alfred A. Jacobs, Michael E. Brier, Jacek M. Zurada
    Pharmacodynamic population analysis in chronic renal failure using artificial neural networks - a comparative study. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:5-6, pp:841-845 [Journal]
  36. Adam E. Gaweda, Mehmet Kerem Müezzinoglu, George R. Aronoff, Alfred A. Jacobs, Jacek M. Zurada, Michael E. Brier
    Individualization of pharmacological anemia management using reinforcement learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:5-6, pp:826-834 [Journal]
  37. Mykola Lysetskiy, Jacek M. Zurada
    Bifurcating neuron: computation and learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:2, pp:225-232 [Journal]
  38. Hiroshi Wakuya, Jacek M. Zurada
    Bi-directional computing architecture for time series prediction. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:9, pp:1307-1321 [Journal]
  39. Mykola Lysetskiy, Andrzej Lozowski, Jacek M. Zurada
    Invariant Recognition of Spatio Temporal Patterns in The Olfactory System Model. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2002, v:15, n:3, pp:225-234 [Journal]
  40. Mehmet Kerem Müezzinoglu, Jacek M. Zurada
    RBF-based neurodynamic nearest neighbor classification in real pattern space. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:5, pp:747-760 [Journal]
  41. Mark P. Wachowiak, Renata Smolíkova, Y. Zheng, Jacek M. Zurada, Adel Said Elmaghraby
    An Approach to Multimodal Biomedical Image Registration Utilizing Particle Swarm Optimization. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2004, v:8, n:3, pp:289-301 [Journal]
  42. Igor N. Aizenberg, Jacek M. Zurada
    Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN). [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:874-883 [Conf]
  43. Min-Jae Kang, Ho-Chan Kim, Wang-Cheol Song, Junghoon Lee, Hee-Sang Ko, Jacek M. Zurada
    Differences in Input Space Stability Between Using the Inverted Output of Amplifier and Negative Conductance for Inhibitory Synapse. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2007, pp:1015-1024 [Conf]
  44. Jing Zhou, Meng Joo Er, Jacek M. Zurada
    Adaptive neural network control of uncertain nonlinear systems with nonsmooth actuator nonlinearities. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:4-6, pp:1062-1070 [Journal]

  45. Evolutionary Optimization of Number of Gates in PLA Circuits Implemented in VLSI Circuits. [Citation Graph (, )][DBLP]


  46. Intelligent E-Learning Systems for Evaluation of User's Knowledge and Skills with Efficient Information Processing. [Citation Graph (, )][DBLP]


  47. Estimating Soil Parameters Using the Kernel Function. [Citation Graph (, )][DBLP]


  48. Neural Networks with Complex-Valued Neurons for Recurrent and Feedforward Architectures. [Citation Graph (, )][DBLP]


  49. Prediction of dynamic forces on lumbar joint using a recurrent neural network model. [Citation Graph (, )][DBLP]


  50. Incorporating prior knowledge into Q-learning for drug delivery individualization. [Citation Graph (, )][DBLP]


  51. Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis. [Citation Graph (, )][DBLP]


  52. Adaptive Prediction of Patient Response to Erythropoietin using Neural Network Ensemble. [Citation Graph (, )][DBLP]


  53. Window Merge Neural Gas for Processing Pattern Sequences. [Citation Graph (, )][DBLP]


  54. Identification of Low Back Injury from EMG Signals using a Neural Network Model. [Citation Graph (, )][DBLP]


  55. HieNet architecture using the K-Iterations Fast Learning artificial Neural Networks. [Citation Graph (, )][DBLP]


  56. Computational intelligence virtual community: Framework and implementation issues. [Citation Graph (, )][DBLP]


  57. Reliability Assessment of Ensemble Classifiers: Application in Mammography. [Citation Graph (, )][DBLP]


  58. Case-Specific Reliability Assessment for Improved False Positive Reduction with an Information-Theoretic CAD System. [Citation Graph (, )][DBLP]


  59. Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms. [Citation Graph (, )][DBLP]


  60. Solving decentralized multi-agent control problems with genetic algorithms. [Citation Graph (, )][DBLP]


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