Jacek M. Zurada

Jian Wang, Wei Wu, Jacek M. Zurada: Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty. Neural Networks 33: 127-135 (2012)

Wei Zhou, Jacek M. Zurada: A Competitive Layer Model for Cellular Neural Networks. Neural Networks 33: 216-227 (2012)

Tolga Ensari, Jan Chorowski, Jacek M. Zurada: Correntropy-Based Document Clustering via Nonnegative Matrix Factorization. ICANN (2) 2012: 347-354

Jan Chorowski, Jacek M. Zurada: Obtaining Full Regularization Paths for Robust Sparse Coding with Applications to Face Recognition. ICMLA (1) 2012: 356-361

Tolga Ensari, Jan Chorowski, Jacek M. Zurada: Occluded Face Recognition Using Correntropy-Based Nonnegative Matrix Factorization. ICMLA (1) 2012: 606-609

Jian Wang, Wei Wu, Jacek M. Zurada: Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks. ISNN (1) 2012: 545-554

Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada (Eds.): Artificial Intelligence and Soft Computing - 11th International Conference, ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, Proceedings, Part I. Lecture Notes in Computer Science 7267, Springer 2012, isbn 978-3-642-29346-7

Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada (Eds.): Artificial Intelligence and Soft Computing - 11th International Conference, ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, Proceedings, Part II. Lecture Notes in Computer Science 7268, Springer 2012, isbn 978-3-642-29349-8

Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada (Eds.): Swarm and Evolutionary Computation - International Symposia, SIDE 2012 and EC 2012, Held in Conjunction with ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012. Proceedings. Lecture Notes in Computer Science 7269, Springer 2012, isbn 978-3-642-29352-8

Jian Wang, Wei Wu, Jacek M. Zurada: Deterministic convergence of conjugate gradient method for feedforward neural networks. Neurocomputing 74(14-15): 2368-2376 (2011)

Minh Ngoc Nguyen, Jacek M. Zurada, Jagath C. Rajapakse: Toward Better Understanding of Protein Secondary Structure: Extracting Prediction Rules. IEEE/ACM Trans. Comput. Biology Bioinform. 8(3): 858-864 (2011)

Bart Baesens, David Martens, Rudy Setiono, Jacek M. Zurada: Guest Editorial White Box Nonlinear Prediction Models. IEEE Transactions on Neural Networks 22(12): 2406-2408 (2011)

Jan Chorowski, Jacek M. Zurada: Extracting Rules From Neural Networks as Decision Diagrams. IEEE Transactions on Neural Networks 22(12): 2435-2446 (2011)

Jan Chorowski, Jacek M. Zurada: Top-Down Induction of Reduced Ordered Decision Diagrams from Neural Networks. ICANN (2) 2011: 309-316

Jian Wang, Wei Wu, Jacek M. Zurada: Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty. IJCNN 2011: 125-132

Piotr Duda, Jacek M. Zurada: On the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise. PPAM (1) 2011: 435-442

Lena Pietruczuk, Jacek M. Zurada: Weak Convergence of the Recursive Parzen-Type Probabilistic Neural Network in a Non-stationary Environment. PPAM (1) 2011: 521-529

Jacek M. Zurada, Maciej Jaworski: Learning in a Time-Varying Environment by Making Use of the Stochastic Approximation and Orthogonal Series-Type Kernel Probabilistic Neural Network. PPAM (1) 2011: 539-548

Kiril Tenekedjiev, Jacek M. Zurada: Guest EditorialIntelligent systems. Int. J. General Systems 39(5): 453-455 (2010)

Wei Zhou, Jacek M. Zurada: Competitive Layer Model of Discrete-Time Recurrent Neural Networks with LT Neurons. Neural Computation 22(8): 2137-2160 (2010)

Zexuan Zhu, Yew-Soon Ong, Jacek M. Zurada: Identification of Full and Partial Class Relevant Genes. IEEE/ACM Trans. Comput. Biology Bioinform. 7(2): 263-277 (2010)

Wojciech Kacalak, Maciej Majewski, Jacek M. Zurada: Intelligent E-Learning Systems for Evaluation of User's Knowledge and Skills with Efficient Information Processing. ICAISC (2) 2010: 508-515

Min-Jae Kang, Chang-Jin Boo, Ho-Chan Kim, Jacek M. Zurada: Estimating Soil Parameters Using the Kernel Function. ICCSA (2) 2010: 110-118

Swathi Sri Kavuri, Jacek M. Zurada, Jagath C. Rajapakse: Evolutionary approach to ICA-R. IJCNN 2010: 1-6

Leszek Rutkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada (Eds.): Artificial Intelligence and Soft Computing, 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part I. Lecture Notes in Computer Science 6113, Springer 2010, isbn 978-3-642-13207-0

Leszek Rutkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada (Eds.): Artifical Intelligence and Soft Computing, 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part II. Lecture Notes in Computer Science 6114, Springer 2010, isbn 978-3-642-13231-5

Jacek M. Zurada, Maciej A. Mazurowski, Rommohan Ragade, Artur Abdullin, Janusz Wojtusiak, James E. Gentle: Building virtual community in computational intelligence and machine learning [Research Frontier]. IEEE Comp. Int. Mag. 4(1): 43-54 (2009)

Wei Zhou, Jacek M. Zurada: A class of discrete time recurrent neural networks with multivalued neurons. Neurocomputing 72(16-18): 3782-3788 (2009)

Wei Zhou, Jacek M. Zurada: Discrete-Time Recurrent Neural Networks With Complex-Valued Linear Threshold Neurons. IEEE Trans. on Circuits and Systems 56-II(8): 669-673 (2009)

Pablo A. Estévez, M. Tesmer, Claudio A. Perez, Jacek M. Zurada: Normalized Mutual Information Feature Selection. IEEE Transactions on Neural Networks 20(2): 189-201 (2009)

Adam Slowik, Jacek M. Zurada: Evolutionary Optimization of Number of Gates in PLA Circuits Implemented in VLSI Circuits. EvoWorkshops 2009: 363-368

Wei Zhou, Jacek M. Zurada: A class of discrete-time recurrent neural networks with multivalued neurons. IJCNN 2009: 3555-3558

Maciej Majewski, Jacek M. Zurada: Sentence recognition using artificial neural networks. Knowl.-Based Syst. 21(7): 629-635 (2008)

Maciej A. Mazurowski, Piotr A. Habas, Jacek M. Zurada, Joseph Y. Lo, Jay A. Baker, Georgia D. Tourassi: Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance. Neural Networks 21(2-3): 427-436 (2008)

Igor N. Aizenberg, Dmitriy Paliy, Jacek M. Zurada, Jaakko Astola: Blur Identification by Multilayer Neural Network Based on Multivalued Neurons. IEEE Transactions on Neural Networks 19(5): 883-898 (2008)

Minh Ngoc Nguyen, Jacek M. Zurada, Jagath C. Rajapakse: Extracting decision rules in prediction of protein secondary structure. BIBE 2008: 1-6

L. P. Tay, Jacek M. Zurada, Lai-Ping Wong: HieNet architecture using the K-Iterations Fast Learning artificial Neural Networks. IJCNN 2008: 338-345

Jacek M. Zurada, Janusz Wojtusiak, Fahmida Chowdhury, James E. Gentle, Cedric J. Jeannot, Maciej A. Mazurowski: Computational intelligence virtual community: Framework and implementation issues. IJCNN 2008: 3153-3157

Piotr A. Habas, Jacek M. Zurada, Georgia D. Tourassi: Case-Specific Reliability Assessment for Improved False Positive Reduction with an Information-Theoretic CAD System. Digital Mammography / IWDM 2008: 329-335

Maciej A. Mazurowski, Jacek M. Zurada, Georgia D. Tourassi: Reliability Assessment of Ensemble Classifiers: Application in Mammography. Digital Mammography / IWDM 2008: 366-370

Leszek Rutkowski, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada (Eds.): Artificial Intelligence and Soft Computing - ICAISC 2008, 9th International Conference, Zakopane, Poland, June 22-26, 2008, Proceedings. Lecture Notes in Computer Science 5097, Springer 2008, isbn 978-3-540-69572-1

Jacek M. Zurada, Gary G. Yen, Jun Wang (Eds.): Computational Intelligence: Research Frontiers, IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, Plenary/Invited Lectures. Lecture Notes in Computer Science 5050, Springer 2008, isbn 978-3-540-68858-7

Jing Zhou, Meng Joo Er, Jacek M. Zurada: Adaptive neural network control of uncertain nonlinear systems with nonsmooth actuator nonlinearities. Neurocomputing 70(4-6): 1062-1070 (2007)

Yanfeng Hou, Jacek M. Zurada, Waldemar Karwowski, William S. Marras, Kermit G. Davis: Identification of Key Variables Using Fuzzy Average With Fuzzy Cluster Distribution. IEEE T. Fuzzy Systems 15(4): 673-685 (2007)

James T. Kwok, Ivor Wai-Hung Tsang, Jacek M. Zurada: A Class of Single-Class Minimax Probability Machines for Novelty Detection. IEEE Transactions on Neural Networks 18(3): 778-785 (2007)

Alex Leng Phuan Tay, Jacek M. Zurada, Lai-Ping Wong, Jian Xu: The Hierarchical Fast Learning Artificial Neural Network (HieFLANN) - An Autonomous Platform for Hierarchical Neural Network Construction. IEEE Transactions on Neural Networks 18(6): 1645-1657 (2007)

Yanfeng Hou, Jacek M. Zurada, Waldemar Karwowski, William S. Marras, Kermit G. Davis: Estimation of the Dynamic Spinal Forces Using a Recurrent Fuzzy Neural Network. IEEE Transactions on Systems, Man, and Cybernetics, Part B 37(1): 100-109 (2007)

Maciej A. Mazurowski, Piotr A. Habas, Georgia D. Tourassi, Jacek M. Zurada: Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms. IEEE Congress on Evolutionary Computation 2007: 600-605

Maciej A. Mazurowski, Jacek M. Zurada: Solving decentralized multi-agent control problems with genetic algorithms. IEEE Congress on Evolutionary Computation 2007: 1029-1034

Igor N. Aizenberg, Jacek M. Zurada: Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN). ICANN (1) 2007: 874-883

Jacek M. Zurada: Neural Networks with Complex-Valued Neurons for Recurrent and Feedforward Architectures. ICMLA 2007

Jacek M. Zurada, Igor N. Aizenberg: Fully Coupled and Feedforward Neural Networks with Complex-Valued Neurons. IDC 2007: 41-50

Maciej A. Mazurowski, Piotr A. Habas, Georgia D. Tourassi, Jacek M. Zurada: Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis. IJCNN 2007: 2005-2009

Pablo A. Estévez, Ricardo Zilleruelo-Ramos, Jacek M. Zurada: Window Merge Neural Gas for Processing Pattern Sequences. IJCNN 2007: 2069-2074

Adam E. Gaweda, Mehmet Kerem Müezzinoglu, Jacek M. Zurada, Michael E. Brier: Adaptive Prediction of Patient Response to Erythropoietin using Neural Network Ensemble. IJCNN 2007: 2268-2270

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. ISNN (1) 2007: 1015-1024

Mehmet Kerem Müezzinoglu, Jacek M. Zurada: RBF-based neurodynamic nearest neighbor classification in real pattern space. Pattern Recognition 39(5): 747-760 (2006)

Ivor Wai-Hung Tsang, James Tin-Yau Kwok, Jacek M. Zurada: Generalized Core Vector Machines. IEEE Transactions on Neural Networks 17(5): 1126-1140 (2006)

Wen Liu, Haixiang Shi, Lipo Wang, Jacek M. Zurada: Chaotic Cellular Neural Networks with Negative Self-feedback. ICAISC 2006: 66-75

Yanfeng Hou, Jacek M. Zurada, Waldemar Karwowski, William S. Marras: Identification of Low Back Injury from EMG Signals using a Neural Network Model. IJCNN 2006: 5308-5315

Min-Jae Kang, Ho-Chan Kim, Farrukh Aslam Khan, Wang-Cheol Song, Jacek M. Zurada: Convergence Analysis of Continuous-Time Neural Networks. ISNN (1) 2006: 100-108

Leszek Rutkowski, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada (Eds.): Artificial Intelligence and Soft Computing - ICAISC 2006, 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings. Lecture Notes in Computer Science 4029, Springer 2006, isbn 3-540-35748-3

Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin (Eds.): Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I. Lecture Notes in Computer Science 3971, Springer 2006, isbn 3-540-34439-X

Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin (Eds.): Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part II. Lecture Notes in Computer Science 3972, Springer 2006, isbn 3-540-34437-3

Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin (Eds.): Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part III. Lecture Notes in Computer Science 3973, Springer 2006, isbn 3-540-34482-9

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. Neural Networks 18(5-6): 826-834 (2005)

Mehmet Kerem Müezzinoglu, Cüneyt Güzelis, Jacek M. Zurada: An energy function-based design method for discrete hopfield associative memory with attractive fixed points. IEEE Transactions on Neural Networks 16(2): 370-378 (2005)

Adam E. Gaweda, Mehmet Kerem Müezzinoglu, George R. Aronoff, Alfred A. Jacobs, Jacek M. Zurada, Michael E. Brier: Incorporating prior knowledge into Q-learning for drug delivery individualization. ICMLA 2005

Yanfeng Hou, Jacek M. Zurada, Waldemar Karwowski, William S. Marras: A Hybrid Neuro-fuzzy Approach for Spinal Force Evaluation in Manual Materials Handling Tasks. ICNC (3) 2005: 1216-1225

Renata Smolíkova, Mark P. Wachowiak, Jacek M. Zurada: An information-theoretic approach to estimating ultrasound backscatter characteristics. Comp. in Bio. and Med. 34(4): 355-370 (2004)

Mykola Lysetskiy, Jacek M. Zurada: Bifurcating neuron: computation and learning. Neural Networks 17(2): 225-232 (2004)

Mark P. Wachowiak, Renata Smolíkova, Yufeng Zheng, Jacek M. Zurada, Adel Said Elmaghraby: An Approach to Multimodal Biomedical Image Registration Utilizing Particle Swarm Optimization. IEEE Trans. Evolutionary Computation 8(3): 289-301 (2004)

Jacek M. Zurada, Marios M. Polycarpou: Editorial IEEE Transactions on Neural Networks: Editorial Report and Passing the Baton Jacek M. Zurada (left) and Marios M. Polycarpou. IEEE Transactions on Neural Networks 15(1): 1-5 (2004)

Andrzej Lozowski, Mykola Lysetskiy, Jacek M. Zurada: Signal Processing with temporal sequences in olfactory systems. IEEE Transactions on Neural Networks 15(5): 1268-1275 (2004)

Andrzej Cichocki, Jacek M. Zurada: Blind Signal Separation and Extraction: Recent Trends, Future Perspectives, and Applications. ICAISC 2004: 30-37

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. ICAISC 2004: 486-491

Tomasz G. Smolinski, Darrel L. Chenoweth, Jacek M. Zurada: Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost Recovery. ICAISC 2004: 538-543

Yanfeng Jou, Jacek M. Zurada, Waldemar Karwowski: Prediction of dynamic forces on lumbar joint using a recurrent neural network model. ICMLA 2004: 360-365

James S. Kirk, Jacek M. Zurada: Topography-Enhanced BMU Search in Self-Organizing Maps. ISNN (2) 2004: 695-700

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. Neural Networks 16(5-6): 841-845 (2003)

Adam E. Gaweda, Jacek M. Zurada: Data-driven linguistic modeling using relational fuzzy rules. IEEE T. Fuzzy Systems 11(1): 121-134 (2003)

Mehmet Kerem Müezzinoglu, Cüneyt Güzelis, Jacek M. Zurada: A new design method for the complex-valued multistate Hopfield associative memory. IEEE Transactions on Neural Networks 14(4): 891-899 (2003)

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. METMBS 2003: 60-65

Tomasz G. Smolinski, Darrel L. Chenoweth, Jacek M. Zurada: Time Series Prediction using Rough Sets and Neural Networks Hybrid Approach. Neural Networks and Computational Intelligence 2003: 108-111

Jaroslaw Bilski, Jacek Smolag, Jacek M. Zurada: Systolic Architectures for Soft Computing Algorithms. PPAM 2003: 601-608

Mykola Lysetskiy, Andrzej Lozowski, Jacek M. Zurada: Temporal-to-spatial dynamic mapping, flexible recognition, and temporal correlations in an olfactory cortex model. Biological Cybernetics 87(1): 58-67 (2002)

Mykola Lysetskiy, Andrzej Lozowski, Jacek M. Zurada: Invariant Recognition of Spatio Temporal Patterns in The Olfactory System Model. Neural Processing Letters 15(3): 225-234 (2002)

Mark P. Wachowiak, Renata Smolíkova, Jacek M. Zurada, Adel Said Elmaghraby: Estimation of K distribution parameters using neural networks. IEEE Trans. Biomed. Engineering 49(6): 617-620 (2002)

Jacek M. Zurada: Editorial - year 2002: submission options streamlined. IEEE Transactions on Neural Networks 13(1): 2 (2002)

Rudy Setiono, Wee Kheng Leow, Jacek M. Zurada: Extraction of rules from artificial neural networks for nonlinear regression. IEEE Transactions on Neural Networks 13(3): 564-577 (2002)

Jacek M. Zurada: Future Challenges in Soft Computing: Theory? Computational Paradigms? Applications? FSKD 2002: 11

Tomasz G. Smolinski, Grzegorz M. Boratyn, Mariofanna G. Milanova, Jacek M. Zurada, Andrzej Wróbel: Evolutionary Algorithms and Rough Sets-Based Hybrid Approach to Classificatory Decomposition of Cortical Evoked Potentials. Rough Sets and Current Trends in Computing 2002: 621-628

Mariofanna G. Milanova, Tomasz G. Smolinski, Grzegorz M. Boratyn, Jacek M. Zurada, Andrzej Wróbel: Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity within the Rat's Barrel Cortex. SVM 2002: 198-212

Hiroshi Wakuya, Jacek M. Zurada: Bi-directional computing architecture for time series prediction. Neural Networks 14(9): 1307-1321 (2001)

Ying Tan, Jun Wang, Jacek M. Zurada: Nonlinear blind source separation using a radial basis function network. IEEE Transactions on Neural Networks 12(1): 124-134 (2001)

Adam E. Gaweda, Jacek M. Zurada: Data-driven Design of Fuzzy System With Rational Input Partition. FUZZ-IEEE 2001: 610-613

Adam E. Gaweda, Jacek M. Zurada, Rudy Setiono: Input Selection in Data-Driven Fuzzy Modelling. FUZZ-IEEE 2001: 1251-1254

Yuanqing Li, Jun Wang, Jacek M. Zurada: Blind extraction of singularly mixed source signals. IEEE Trans. Neural Netw. Learning Syst. 11(6): 1413-1422 (2000)

Mark P. Wachowiak, Adel Said Elmaghraby, Renata Smolíkova, Jacek M. Zurada: Classification and Estimation of Ultrasound Speckle Noise with Neural Networks. BIBE 2000: 245-252

Adam E. Gaweda, Jacek M. Zurada: Fuzzy Neural Network with Relational Fuzzy Rules. IJCNN (5) 2000: 3-7

Hiroshi Wakuya, Jacek M. Zurada: Time Series Prediction by a Neural Network Model Based on the Bi-Directional Computation Style. IJCNN (2) 2000: 225-230

Jacek M. Zurada: Neural Networks: Binary Monotonic and Multiple-Valued. ISMVL 2000: 67-

Jacek M. Zurada: From Chaos to Organization: Neurodynamics of 2D Active Medium. ICONIP 1998: 12

Jacek M. Zurada, Aleksander Malinowski, Shiro Usui: Perturbation method for deleting redundant inputs of perceptron networks. Neurocomputing 14(2): 177-193 (1997)

Jacek M. Zurada, Ian Cloete, Etienne van der Poel: Generalized Hopfield networks for associative memories with multi-valued stable states. Neurocomputing 13(2-4): 135-149 (1996)

Stanislaw Jankowski, Andrzej Lozowski, Jacek M. Zurada: Complex-valued multistate neural associative memory. IEEE Trans. Neural Netw. Learning Syst. 7(6): 1491-1496 (1996)

Robert Kozma, Masaharu Kitamura, Aleksander Malinowski, Jacek M. Zurada: On Performance Measures of Artificial Neural Networks Trained by Structural Learning with Forgetting. ANNES 1995: 22-25

Syozo Yasui, Aleksander Malinowski, Jacek M. Zurada: Convergence Suppression and Divergence Facilitation: New Approach to Prune Hidden Layer and Weights of Feedforward Neural Networks. ISCAS 1995: 121-124

Aleksander Malinowski, Tomasz J. Cholewo, Jacek M. Zurada: Capabilities and Limitations of Feedforward Neural Networks with Multilevel Neurons. ISCAS 1995: 131-134

Stanislaw Jankowski, Andrzej Lozowski, Jacek M. Zurada: Multivalued Neural Associative Memory. ISCAS 1995: 1148-1151

Gregory L. Creech, Jacek M. Zurada, Peter B. Aronhime: Feedforward Neural Networks for Estimating IC Parametric Yield and Device Characterization. ISCAS 1995: 1520-1523

Andries Petrus Engelbrecht, Ian Cloete, Jaco Geldenhuys, Jacek M. Zurada: Automatic Scaling using Gamma Learning for Feedforward Neural Networks. IWANN 1995: 374-381

Andries Petrus Engelbrecht, Ian Cloete, Jacek M. Zurada: Determining the Significance of Input Parameters using Sensitivity Analysis. IWANN 1995: 382-388

Aleksander Malinowski, Jacek M. Zurada, Peter B. Aronhime: Minimal Training Set Size Estimation for Neural Network-Based Function Approximation. ISCAS 1994: 403-406

Jacek M. Zurada, Aleksander Malinowski, Ian Cloete: Sensitivity Analysis for Minimization of Input Data Dimension for Feedforward Neural Network. ISCAS 1994: 447-450

Mehul Desai, Peter B. Aronhime, Jacek M. Zurada: Current-Mode Network Transformations. ISCAS 1994: 599-602

Jacek M. Zurada, Aleksander Malinowski, P. Przestrzelski: Modified Hebbian learning rule for single layer learning. ISCAS 1993: 2407-2410