| * | 2009 |
|---|
| 70 | EE | Adam Slowik,
Jacek M. Zurada:
Evolutionary Optimization of Number of Gates in PLA Circuits Implemented in VLSI Circuits.
EvoWorkshops 2009: 363-368 |
| 69 | EE | 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) |
| 2008 |
|---|
| 68 | | Jacek M. Zurada,
Gary G. Yen,
Jun Wang:
Computational Intelligence: Research Frontiers, IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, Plenary/Invited Lectures
Springer 2008 |
| 67 | | Leszek Rutkowski,
Ryszard Tadeusiewicz,
Lotfi A. Zadeh,
Jacek M. Zurada:
Artificial Intelligence and Soft Computing - ICAISC 2008, 9th International Conference, Zakopane, Poland, June 22-26, 2008, Proceedings
Springer 2008 |
| 66 | EE | 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 |
| 65 | EE | Maciej A. Mazurowski,
Jacek M. Zurada,
Georgia D. Tourassi:
Reliability Assessment of Ensemble Classifiers: Application in Mammography.
Digital Mammography / IWDM 2008: 366-370 |
| 64 | EE | 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 |
| 63 | EE | L. P. Tay,
Jacek M. Zurada,
Lai-Ping Wong:
HieNet architecture using the K-Iterations Fast Learning artificial Neural Networks.
IJCNN 2008: 338-345 |
| 62 | EE | 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) |
| 61 | EE | Maciej Majewski,
Jacek M. Zurada:
Sentence recognition using artificial neural networks.
Knowl.-Based Syst. 21(7): 629-635 (2008) |
| 60 | EE | 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) |
| 2007 |
|---|
| 59 | EE | 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 |
| 58 | EE | Maciej A. Mazurowski,
Jacek M. Zurada:
Solving decentralized multi-agent control problems with genetic algorithms.
IEEE Congress on Evolutionary Computation 2007: 1029-1034 |
| 57 | EE | 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 |
| 56 | EE | 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 |
| 55 | EE | Pablo A. Estévez,
Ricardo Zilleruelo-Ramos,
Jacek M. Zurada:
Window Merge Neural Gas for Processing Pattern Sequences.
IJCNN 2007: 2069-2074 |
| 54 | EE | 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 |
| 53 | EE | 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 |
| 52 | EE | Yanfeng Hou,
Jacek M. Zurada,
Waldemar Karwowski,
William S. Marras,
Kermit Davis:
Identification of Key Variables Using Fuzzy Average With Fuzzy Cluster Distribution.
IEEE T. Fuzzy Systems 15(4): 673-685 (2007) |
| 51 | EE | 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) |
| 50 | EE | 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) |
| 49 | EE | Yanfeng Hou,
Jacek M. Zurada,
Waldemar Karwowski,
William S. Marras,
Kermit 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) |
| 48 | EE | 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) |
| 2006 |
|---|
| 47 | | Jun Wang,
Zhang Yi,
Jacek M. Zurada,
Bao-Liang Lu,
Hujun Yin:
Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I
Springer 2006 |
| 46 | | Jun Wang,
Zhang Yi,
Jacek M. Zurada,
Bao-Liang Lu,
Hujun Yin:
Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part II
Springer 2006 |
| 45 | | Jun Wang,
Zhang Yi,
Jacek M. Zurada,
Bao-Liang Lu,
Hujun Yin:
Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part III
Springer 2006 |
| 44 | | Leszek Rutkowski,
Ryszard Tadeusiewicz,
Lotfi A. Zadeh,
Jacek M. Zurada:
Artificial Intelligence and Soft Computing - ICAISC 2006, 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings
Springer 2006 |
| 43 | EE | Wen Liu,
Haixiang Shi,
Lipo Wang,
Jacek M. Zurada:
Chaotic Cellular Neural Networks with Negative Self-feedback.
ICAISC 2006: 66-75 |
| 42 | EE | 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 |
| 41 | EE | 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 |
| 40 | EE | 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) |
| 39 | EE | Mehmet Kerem Müezzinoglu,
Jacek M. Zurada:
RBF-based neurodynamic nearest neighbor classification in real pattern space.
Pattern Recognition 39(5): 747-760 (2006) |
| 2005 |
|---|
| 38 | EE | 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 |
| 37 | EE | 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) |
| 2004 |
|---|
| 36 | EE | Andrzej Cichocki,
Jacek M. Zurada:
Blind Signal Separation and Extraction: Recent Trends, Future Perspectives, and Applications.
ICAISC 2004: 30-37 |
| 35 | EE | 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 |
| 34 | EE | 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 |
| 33 | EE | James S. Kirk,
Jacek M. Zurada:
Topography-Enhanced BMU Search in Self-Organizing Maps.
ISNN (2) 2004: 695-700 |
| 32 | | Mark P. Wachowiak,
Renata Smolíkova,
Y. 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) |
| 31 | EE | Mykola Lysetskiy,
Jacek M. Zurada:
Bifurcating neuron: computation and learning.
Neural Networks 17(2): 225-232 (2004) |
| 2003 |
|---|
| 30 | | 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 |
| 29 | | 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 |
| 28 | EE | Jaroslaw Bilski,
Jacek Smolag,
Jacek M. Zurada:
Systolic Architectures for Soft Computing Algorithms.
PPAM 2003: 601-608 |
| 27 | EE | 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) |
| 2002 |
|---|
| 26 | | Jacek M. Zurada:
Future Challenges in Soft Computing: Theory? Computational Paradigms? Applications?
FSKD 2002: 11 |
| 25 | EE | 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.
Rough Sets and Current Trends in Computing 2002: 621-628 |
| 24 | EE | 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.
SVM 2002: 198-212 |
| 23 | EE | 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) |
| 22 | | 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) |
| 2001 |
|---|
| 21 | | Adam E. Gaweda,
Jacek M. Zurada,
Rudy Setiono:
Input Selection in Data-Driven Fuzzy Modelling.
FUZZ-IEEE 2001: 1251-1254 |
| 20 | | Adam E. Gaweda,
Jacek M. Zurada:
Data-driven Design of Fuzzy System With Rational Input Partition.
FUZZ-IEEE 2001: 610-613 |
| 19 | EE | Hiroshi Wakuya,
Jacek M. Zurada:
Bi-directional computing architecture for time series prediction.
Neural Networks 14(9): 1307-1321 (2001) |
| 2000 |
|---|
| 18 | | 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 |
| 17 | EE | 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 |
| 16 | EE | Adam E. Gaweda,
Jacek M. Zurada:
Fuzzy Neural Network with Relational Fuzzy Rules.
IJCNN (5) 2000: 3-7 |
| 15 | EE | Jacek M. Zurada:
Neural Networks: Binary Monotonic and Multiple-Valued.
ISMVL 2000: 67- |
| 1998 |
|---|
| 14 | | Jacek M. Zurada:
From Chaos to Organization: Neurodynamics of 2D Active Medium.
ICONIP 1998: 12 |
| 1997 |
|---|
| 13 | EE | Jacek M. Zurada,
Aleksander Malinowski,
Shiro Usui:
Perturbation method for deleting redundant inputs of perceptron networks.
Neurocomputing 14(2): 177-193 (1997) |
| 1996 |
|---|
| 12 | EE | 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) |
| 1995 |
|---|
| 11 | EE | 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 |
| 10 | | S. Jankowski,
Andrzej Lozowski,
Jacek M. Zurada:
Multivalued Neural Associative Memory.
ISCAS 1995: 1148-1151 |
| 9 | | 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 |
| 8 | | Aleksander Malinowski,
Tomasz J. Cholewo,
Jacek M. Zurada:
Capabilities and Limitations of Feedforward Neural Networks with Multilevel Neurons.
ISCAS 1995: 131-134 |
| 7 | | Gregory L. Creech,
Jacek M. Zurada,
Peter B. Aronhime:
Feedforward Neural Networks for Estimating IC Parametric Yield and Device Characterization.
ISCAS 1995: 1520-1523 |
| 6 | EE | Andries Petrus Engelbrecht,
Ian Cloete,
Jaco Geldenhuys,
Jacek M. Zurada:
Automatic Scaling using Gamma Learning for Feedforward Neural Networks.
IWANN 1995: 374-381 |
| 5 | EE | Andries Petrus Engelbrecht,
Ian Cloete,
Jacek M. Zurada:
Determining the Significance of Input Parameters using Sensitivity Analysis.
IWANN 1995: 382-388 |
| 1994 |
|---|
| 4 | | Aleksander Malinowski,
Jacek M. Zurada,
Peter B. Aronhime:
Minimal Training Set Size Estimation for Neural Network-Based Function Approximation.
ISCAS 1994: 403-406 |
| 3 | | Jacek M. Zurada,
Aleksander Malinowski,
Ian Cloete:
Sensitivity Analysis for Minimization of Input Data Dimension for Feedforward Neural Network.
ISCAS 1994: 447-450 |
| 2 | | Mehul Desai,
Peter B. Aronhime,
Jacek M. Zurada:
Current-Mode Network Transformations.
ISCAS 1994: 599-602 |
| 1993 |
|---|
| 1 | | Jacek M. Zurada,
Aleksander Malinowski,
P. Przestrzelski:
Modified Hebbian learning rule for single layer learning.
ISCAS 1993: 2407-2410 |
