2009 | ||
---|---|---|
68 | EE | Adam Slowik, Jacek M. Zurada: Evolutionary Optimization of Number of Gates in PLA Circuits Implemented in VLSI Circuits. EvoWorkshops 2009: 363-368 |
2008 | ||
67 | 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 | |
66 | 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 | |
65 | 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 |
64 | EE | Maciej A. Mazurowski, Jacek M. Zurada, Georgia D. Tourassi: Reliability Assessment of Ensemble Classifiers: Application in Mammography. Digital Mammography / IWDM 2008: 366-370 |
63 | 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 |
62 | 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 |
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 | Andries Petrus Engelbrecht, Ian Cloete, Jaco Geldenhuys, Jacek M. Zurada: Automatic Scaling using Gamma Learning for Feedforward Neural Networks. IWANN 1995: 374-381 | |
5 | 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 |