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ORCIDJacek M. Zurada
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- affiliation: University of Louisville, Department of Electrical and Computer Engineering, KY, USA
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2020 – today
- 2024
[j92]Feng Li
, Yaokai Hu, Huisheng Zhang, Ansheng Deng, Jacek M. Zurada:
A Group Regularization Framework of Convolutional Neural Networks Based on the Impact of Lₚ Regularizers on Magnitude. IEEE Trans. Syst. Man Cybern. Syst. 54(12): 7434-7444 (2024)- 2023
- [c103]Affan Affan, Jacek M. Zurada, Tamer Inanc:
Patient-Specific Modeling and Model Predictive Control Approach to Personalized Optimal Anemia Management. EMBC 2023: 1-4 - [e33]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13588, Springer 2023, ISBN 978-3-031-23491-0 [contents] - [e32]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13589, Springer 2023, ISBN 978-3-031-23479-8 [contents] - [e31]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18-22, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14125, Springer 2023, ISBN 978-3-031-42504-2 [contents] - [e30]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18-22, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14126, Springer 2023, ISBN 978-3-031-42507-3 [contents] - 2022
- [b1]Ninni Singh, Vinit Kumar Gunjan, Jacek M. Zurada:
Cognitive Tutor - Custom-Tailored Pedagogical Approach. Springer 2022, ISBN 978-981-19-5196-1, pp. 1-172 - [j91]Qinwei Fan, Qian Kang, Jacek M. Zurada:
Convergence analysis for sigma-pi-sigma neural network based on some relaxed conditions. Inf. Sci. 585: 70-88 (2022) - [j90]Jaroslaw Bilski, Bartosz Kowalczyk, Marek Kisiel-Dorohinicki, Agnieszka Siwocha, Jacek M. Zurada:
Towards a Very Fast Feedforward Multilayer Neural Networks Training Algorithm. J. Artif. Intell. Soft Comput. Res. 12(3): 181-195 (2022) - [j89]Qian Kang, Qinwei Fan, Jacek M. Zurada, Tingwen Huang:
A pruning algorithm with relaxed conditions for high-order neural networks based on smoothing group L1/2 regularization and adaptive momentum. Knowl. Based Syst. 257: 109858 (2022) - [j88]Fang Xu, Lingling Liu, Jacek M. Zurada, Zhang Yi:
Analysis of Equilibria for a Class of Recurrent Neural Networks With Two Subnetworks. IEEE Trans. Cybern. 52(6): 4701-4716 (2022) - 2021
- [j87]Affan Affan, Jacek M. Zurada, Tamer Inanc:
Adaptive Individualized Modeling From Limited Clinical Data for Precise Anemia Management. IEEE Access 9: 119466-119475 (2021) - [j86]Hossein Mirinejad, Tamer Inanc, Jacek M. Zurada:
Radial Basis Function Interpolation and Galerkin Projection for Direct Trajectory Optimization and Costate Estimation. IEEE CAA J. Autom. Sinica 8(8): 1380-1388 (2021) - [j85]Qian Kang, Qinwei Fan, Jacek M. Zurada:
Deterministic convergence analysis via smoothing group Lasso regularization and adaptive momentum for Sigma-Pi-Sigma neural network. Inf. Sci. 553: 66-82 (2021) - [j84]Jaroslaw Bilski, Bartosz Kowalczyk, Andrzej Marjanski, Michal Gandor, Jacek M. Zurada:
A Novel Fast Feedforward Neural Networks Training Algorithm. J. Artif. Intell. Soft Comput. Res. 11(4): 287-306 (2021) - [c102]Affan Affan, Jacek M. Zurada, Michael E. Brier, Tamer Inanc:
Adaptive Individualized Drug-Dose Response Modeling from a Limited Clinical Data: Case of Warfarin Management. EMBC 2021: 4448-4451 - [c101]Syed Irfan Ali Meerza, Affan Affan, Hossein Mirinejad, Michael E. Brier, Jacek M. Zurada, Tamer Inanc:
Precise Warfarin Management through Personalized Modeling and Control with Limited Clinical Data. EMBC 2021: 5035-5038 - [e29]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 20th International Conference, ICAISC 2021, Virtual Event, June 21-23, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12854, Springer 2021, ISBN 978-3-030-87985-3 [contents] - [e28]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 20th International Conference, ICAISC 2021, Virtual Event, June 21-23, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12855, Springer 2021, ISBN 978-3-030-87896-2 [contents] - 2020
- [j83]D. Jude Hemanth, Jacek M. Zurada, Hemant P. Kasturiwale:
Editorial. Intell. Decis. Technol. 14(1) (2020) - [j82]Tao Gao, Xiaoling Gong, Kai Zhang, Feng Lin, Jian Wang, Tingwen Huang, Jacek M. Zurada:
A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis. Inf. Sci. 519: 273-288 (2020) - [j81]Jaroslaw Bilski, Bartosz Kowalczyk, Alina Marchlewska, Jacek M. Zurada:
Local Levenberg-Marquardt Algorithm for Learning Feedforwad Neural Networks. J. Artif. Intell. Soft Comput. Res. 10(4): 299-316 (2020) - [j80]Huaqing Zhang, Jian Wang, Zhanquan Sun, Jacek M. Zurada, Nikhil R. Pal:
Feature Selection for Neural Networks Using Group Lasso Regularization. IEEE Trans. Knowl. Data Eng. 32(4): 659-673 (2020) - [c100]Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada:
A New Algorithm with a Line Search for Feedforward Neural Networks Training. ICAISC (1) 2020: 15-26 - [c99]William Funke, Benjamin Veasey, Jacek M. Zurada, Hichem Frigui, Amir A. Amini:
3D U-Net for segmentation of pulmonary nodules in volumetric CT scans from multi-annotator truth estimation. Computer-Aided Diagnosis 2020 - [e27]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12415, Springer 2020, ISBN 978-3-030-61400-3 [contents] - [e26]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12416, Springer 2020, ISBN 978-3-030-61533-8 [contents]
2010 – 2019
- 2019
- [j79]Babajide O. Ayinde, Tamer Inanc, Jacek M. Zurada:
Redundant feature pruning for accelerated inference in deep neural networks. Neural Networks 118: 148-158 (2019) - [j78]Babajide O. Ayinde, Tamer Inanc, Jacek M. Zurada:
Regularizing Deep Neural Networks by Enhancing Diversity in Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2650-2661 (2019) - [c98]Babajide O. Ayinde, Keishin Nishihama, Jacek M. Zurada:
Diversity Regularized Adversarial Deep Learning. AIAI 2019: 292-306 - [c97]Babajide O. Ayinde, Tamer Inanc, Jacek M. Zurada:
On Correlation of Features Extracted by Deep Neural Networks. IJCNN 2019: 1-8 - [e25]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16-20, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11508, Springer 2019, ISBN 978-3-030-20911-7 [contents] - [e24]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16-20, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11509, Springer 2019, ISBN 978-3-030-20914-8 [contents] - [i6]Babajide O. Ayinde, Keishin Nishihama, Jacek M. Zurada:
Diversity Regularized Adversarial Learning. CoRR abs/1901.10824 (2019) - [i5]Babajide O. Ayinde, Tamer Inanc, Jacek M. Zurada:
On Correlation of Features Extracted by Deep Neural Networks. CoRR abs/1901.10900 (2019) - 2018
- [j77]Feng Li, Jacek M. Zurada, Wei Wu:
Smooth group L1/2 regularization for input layer of feedforward neural networks. Neurocomputing 314: 109-119 (2018) - [j76]Junhong Zhao, Jacek M. Zurada, Jie Yang, Wei Wu:
The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization. Neural Networks 103: 19-28 (2018) - [j75]Van-Phong Vu, Wen-June Wang, Jacek M. Zurada, Hsiang-Chieh Chen, Chih-Hui Chiu:
Unknown Input Method Based Observer Synthesis for a Discrete Time Uncertain T-S Fuzzy System. IEEE Trans. Fuzzy Syst. 26(2): 761-770 (2018) - [j74]Van-Phong Vu, Wen-June Wang, Hsiang-Chieh Chen, Jacek M. Zurada:
Unknown Input-Based Observer Synthesis for a Polynomial T-S Fuzzy Model System With Uncertainties. IEEE Trans. Fuzzy Syst. 26(3): 1447-1458 (2018) - [j73]Jian Wang, Chen Xu, Xifeng Yang, Jacek M. Zurada:
A Novel Pruning Algorithm for Smoothing Feedforward Neural Networks Based on Group Lasso Method. IEEE Trans. Neural Networks Learn. Syst. 29(5): 2012-2024 (2018) - [j72]Babajide O. Ayinde, Jacek M. Zurada:
Deep Learning of Constrained Autoencoders for Enhanced Understanding of Data. IEEE Trans. Neural Networks Learn. Syst. 29(9): 3969-3979 (2018) - [c96]Saliya Kirigeeganage, Douglas J. Jackson, Jacek M. Zurada, John F. Naber:
Modeling the bursting behavior of the Hodgkin-Huxley neurons using genetic algorithm based parameter search. ISSPIT 2018: 470-475 - [e23]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10841, Springer 2018, ISBN 978-3-319-91252-3 [contents] - [e22]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10842, Springer 2018, ISBN 978-3-319-91261-5 [contents] - [i4]Babajide O. Ayinde, Jacek M. Zurada:
Deep Learning of Constrained Autoencoders for Enhanced Understanding of Data. CoRR abs/1802.00003 (2018) - [i3]Babajide O. Ayinde, Jacek M. Zurada:
Building Efficient ConvNets using Redundant Feature Pruning. CoRR abs/1802.07653 (2018) - 2017
- [j71]Feng Li, Jacek M. Zurada, Yan Liu, Wei Wu:
Input Layer Regularization of Multilayer Feedforward Neural Networks. IEEE Access 5: 10979-10985 (2017) - [j70]Shun-Feng Su, Imre J. Rudas, Jacek M. Zurada, Meng Joo Er, Jyh-Horng Chou, Daeil Kwon:
Industry 4.0: A Special Section in IEEE Access. IEEE Access 5: 12257-12261 (2017) - [j69]Hossein Mirinejad, Adam E. Gaweda, Michael E. Brier, Jacek M. Zurada, Tamer Inanc:
Individualized drug dosing using RBF-Galerkin method: Case of anemia management in chronic kidney disease. Comput. Methods Programs Biomed. 148: 45-53 (2017) - [j68]Jian Wang, Qingling Cai, Qingquan Chang, Jacek M. Zurada:
Convergence analyses on sparse feedforward neural networks via group lasso regularization. Inf. Sci. 381: 250-269 (2017) - [j67]Babajide O. Ayinde, Jacek M. Zurada:
Nonredundant sparse feature extraction using autoencoders with receptive fields clustering. Neural Networks 93: 99-109 (2017) - [j66]Yaqing Hou, Yew-Soon Ong, Liang Feng, Jacek M. Zurada:
An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems. IEEE Trans. Evol. Comput. 21(4): 601-615 (2017) - [c95]Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada:
Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm. ICAISC (1) 2017: 14-24 - [e21]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10245, Springer 2017, ISBN 978-3-319-59062-2 [contents] - [e20]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10246, Springer 2017, ISBN 978-3-319-59059-2 [contents] - 2016
- [j65]Jian Wang, Zhenyun Ye, Weifeng Gao, Jacek M. Zurada:
Boundedness and convergence analysis of weight elimination for cyclic training of neural networks. Neural Networks 82: 49-61 (2016) - [j64]Ehsan Hosseini-Asl, Jacek M. Zurada, Georgy L. Gimel'farb, Ayman El-Baz:
3-D Lung Segmentation by Incremental Constrained Nonnegative Matrix Factorization. IEEE Trans. Biomed. Eng. 63(5): 952-963 (2016) - [j63]Amir Alansary, Marwa Ismail, Ahmed Soliman, Fahmi Khalifa, Matthew Nitzken, Ahmed Elnakib, Mahmoud Mostapha, Austin Black, Katie Stinebruner, Manuel F. Casanova, Jacek M. Zurada, Ayman El-Baz:
Infant Brain Extraction in T1-Weighted MR Images Using BET and Refinement Using LCDG and MGRF Models. IEEE J. Biomed. Health Informatics 20(3): 925-935 (2016) - [j62]Ehsan Hosseini-Asl, Jacek M. Zurada, Olfa Nasraoui:
Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2486-2498 (2016) - [c94]Lu Hou, James T. Kwok, Jacek M. Zurada:
Efficient Learning of Timeseries Shapelets. AAAI 2016: 1209-1215 - [c93]Babajide O. Ayinde, Ehsan Hosseini-Asl, Jacek M. Zurada:
Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning. ICAISC (1) 2016: 3-14 - [c92]Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada:
Application of the Givens Rotations in the Neural Network Learning Algorithm. ICAISC (1) 2016: 46-56 - [c91]Xiaoling Gong, Jian Wang, Yanjiang Wang, Jacek M. Zurada:
A Conjugate Gradient-Based Efficient Algorithm for Training Single-Hidden-Layer Neural Networks. ICONIP (4) 2016: 470-478 - [c90]Babajide O. Ayinde, Jacek M. Zurada:
Clustering of receptive fields in Autoencoders. IJCNN 2016: 1310-1317 - [e19]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9692, Springer 2016, ISBN 978-3-319-39377-3 [contents] - [e18]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9693, Springer 2016, ISBN 978-3-319-39383-4 [contents] - [i2]Ehsan Hosseini-Asl, Jacek M. Zurada, Olfa Nasraoui:
Deep Learning of Part-based Representation of Data Using Sparse Autoencoders with Nonnegativity Constraints. CoRR abs/1601.02733 (2016) - [i1]Ehsan Hosseini-Asl, Jacek M. Zurada:
Structured Sparse Convolutional Autoencoder. CoRR abs/1604.04812 (2016) - 2015
- [j61]Elom Akabua, Tamer Inanc, Adam E. Gaweda, Michael E. Brier, Seongho Kim, Jacek M. Zurada:
Individualized model discovery: The case of anemia patients. Comput. Methods Programs Biomed. 118(1): 23-33 (2015) - [j60]Wei Zhou, Jacek M. Zurada:
New stability condition for discrete-time fully coupled neural networks with multivalued neurons. Neurocomputing 166: 38-43 (2015) - [j59]Amin Jahromi Torabi, Meng Joo Er, Xiang Li, Beng Siong Lim, Lianyin Zhai, Richard Jayadi Oentaryo, Oon Peen Gan, Jacek M. Zurada:
A Survey on Artificial Intelligence-Based Modeling Techniques for High Speed Milling Processes. IEEE Syst. J. 9(3): 1069-1080 (2015) - [j58]Jan Chorowski, Jacek M. Zurada:
Learning Understandable Neural Networks With Nonnegative Weight Constraints. IEEE Trans. Neural Networks Learn. Syst. 26(1): 62-69 (2015) - [j57]Teck-Hou Teng, Ah-Hwee Tan, Jacek M. Zurada:
Self-Organizing Neural Networks Integrating Domain Knowledge and Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 26(5): 889-902 (2015) - [c89]Jaroslaw Bilski, Jacek Smolag, Jacek M. Zurada:
Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks. ICAISC (1) 2015: 3-14 - [c88]Ehsan Hosseini-Asl, Jacek M. Zurada, Ayman El-Baz:
Automatic segmentation of pathological lung using incremental nonnegative matrix factorization. ICIP 2015: 3111-3115 - [e17]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 14th International Conference, ICAISC 2015, Zakopane, Poland, June 14-18, 2015, Proceedings, Part I. Lecture Notes in Computer Science 9119, Springer 2015, ISBN 978-3-319-19323-6 [contents] - [e16]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 14th International Conference, ICAISC 2015, Zakopane, Poland, June 14-28, 2015, Proceedings, Part II. Lecture Notes in Computer Science 9120, Springer 2015, ISBN 978-3-319-19368-7 [contents] - 2014
- [j56]Bin Li, Hongxiang Li, Jacek M. Zurada:
Cross-Layer Design of Joint Beamforming and Random Network Coding in Wireless Multicast Networks. IEEE Commun. Lett. 18(12): 2173-2176 (2014) - [j55]Jan Chorowski, Jian Wang, Jacek M. Zurada:
Review and performance comparison of SVM- and ELM-based classifiers. Neurocomputing 128: 507-516 (2014) - [j54]Qin-wei Fan, Jacek M. Zurada, Wei Wu:
Convergence of online gradient method for feedforward neural networks with smoothing L1/2 regularization penalty. Neurocomputing 131: 208-216 (2014) - [j53]Wei Wu, Qin-wei Fan, Jacek M. Zurada, Jian Wang, Dakun Yang, Yan Liu:
Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks. Neural Networks 50: 72-78 (2014) - [j52]Matthew J. Nitzken, Manuel F. Casanova, Georgy L. Gimel'farb, Tamer Inanc, Jacek M. Zurada, Ayman El-Baz:
Shape Analysis of the Human Brain: A Brief Survey. IEEE J. Biomed. Health Informatics 18(4): 1337-1354 (2014) - [c87]Jian Wang, Jacek M. Zurada, Yanjiang Wang, Jing Wang, Guofang Xie:
Boundedness of Weight Elimination for BP Neural Networks. ICAISC (1) 2014: 155-165 - [c86]Ehsan Hosseini-Asl, Jacek M. Zurada:
Nonnegative Matrix Factorization for Document Clustering: A Survey. ICAISC (2) 2014: 726-737 - [c85]Ehsan Hosseini-Asl, Jacek M. Zurada, Ayman El-Baz:
Lung segmentation based on Nonnegative Matrix Factorization. ICIP 2014: 877-881 - [c84]Wei Zhou, Jacek M. Zurada:
Stability condition for discrete time multi-valued recurrent neural networks in asynchronous update mode. IJCNN 2014: 3402-3405 - [c83]Wei Zhou, Jacek M. Zurada:
A new stability condition for discrete time recurrent neural networks with complex-valued linear threshold neurons. IJCNN 2014: 3406-3409 - [e15]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part I. Lecture Notes in Computer Science 8467, Springer 2014, ISBN 978-3-319-07172-5 [contents] - [e14]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II. Lecture Notes in Computer Science 8468, Springer 2014, ISBN 978-3-319-07175-6 [contents] - 2013
- [c82]Jacek M. Zurada, Tolga Ensari, Ehsan Hosseini-Asl, Jan Chorowski:
Nonnegative Matrix Factorization and Its Application to Pattern Analysis and Text Mining. FedCSIS 2013: 11-16 - [e13]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I. Lecture Notes in Computer Science 7894, Springer 2013, ISBN 978-3-642-38657-2 [contents] - [e12]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part II. Lecture Notes in Computer Science 7895, Springer 2013, ISBN 978-3-642-38609-1 [contents] - 2012
- [j51]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) - [j50]Wei Zhou, Jacek M. Zurada:
A Competitive Layer Model for Cellular Neural Networks. Neural Networks 33: 216-227 (2012) - [c81]Tolga Ensari, Jan Chorowski, Jacek M. Zurada:
Correntropy-Based Document Clustering via Nonnegative Matrix Factorization. ICANN (2) 2012: 347-354 - [c80]Jan Chorowski, Jacek M. Zurada:
Obtaining Full Regularization Paths for Robust Sparse Coding with Applications to Face Recognition. ICMLA (1) 2012: 356-361 - [c79]Tolga Ensari, Jan Chorowski, Jacek M. Zurada:
Occluded Face Recognition Using Correntropy-Based Nonnegative Matrix Factorization. ICMLA (1) 2012: 606-609 - [c78]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 - [e11]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
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 [contents] - [e10]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
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 [contents] - [e9]Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
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 [contents] - 2011
- [j49]Jian Wang, Wei Wu, Jacek M. Zurada:
Deterministic convergence of conjugate gradient method for feedforward neural networks. Neurocomputing 74(14-15): 2368-2376 (2011) - [j48]Minh Ngoc Nguyen, Jacek M. Zurada, Jagath C. Rajapakse:
Toward Better Understanding of Protein Secondary Structure: Extracting Prediction Rules. IEEE ACM Trans. Comput. Biol. Bioinform. 8(3): 858-864 (2011) - [j47]Bart Baesens, David Martens, Rudy Setiono, Jacek M. Zurada:
Guest Editorial White Box Nonlinear Prediction Models. IEEE Trans. Neural Networks 22(12): 2406-2408 (2011) - [j46]Jan Chorowski, Jacek M. Zurada:
Extracting Rules From Neural Networks as Decision Diagrams. IEEE Trans. Neural Networks 22(12): 2435-2446 (2011) - [c77]Jan Chorowski, Jacek M. Zurada:
Top-Down Induction of Reduced Ordered Decision Diagrams from Neural Networks. ICANN (2) 2011: 309-316 - [c76]Jian Wang, Wei Wu, Jacek M. Zurada:
Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty. IJCNN 2011: 125-132 - [c75]Piotr Duda, Jacek M. Zurada:
On the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise. PPAM (1) 2011: 435-442 - [c74]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 - [c73]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 - 2010
- [j45]Kiril Tenekedjiev, Jacek M. Zurada:
Guest EditorialIntelligent systems. Int. J. Gen. Syst. 39(5): 453-455 (2010) - [j44]Wei Zhou, Jacek M. Zurada:
Competitive Layer Model of Discrete-Time Recurrent Neural Networks with LT Neurons. Neural Comput. 22(8): 2137-2160 (2010) - [j43]Zexuan Zhu, Yew-Soon Ong, Jacek M. Zurada:
Identification of Full and Partial Class Relevant Genes. IEEE ACM Trans. Comput. Biol. Bioinform. 7(2): 263-277 (2010) - [c72]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 - [c71]Min-Jae Kang, Chang-Jin Boo, Ho-Chan Kim, Jacek M. Zurada:
Estimating Soil Parameters Using the Kernel Function. ICCSA (2) 2010: 110-118 - [c70]Swathi Kavuri Sri, Jacek M. Zurada, Jagath C. Rajapakse:
Evolutionary approach to ICA-R. IJCNN 2010: 1-6 - [e8]Leszek Rutkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
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 [contents] - [e7]Leszek Rutkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada:
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 [contents]
2000 – 2009
- 2009
- [j42]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 Comput. Intell. Mag. 4(1): 43-54 (2009) - [j41]Wei Zhou, Jacek M. Zurada:
A class of discrete time recurrent neural networks with multivalued neurons. Neurocomputing 72(16-18): 3782-3788 (2009) - [j40]Wei Zhou, Jacek M. Zurada:
Discrete-Time Recurrent Neural Networks With Complex-Valued Linear Threshold Neurons. IEEE Trans. Circuits Syst. II Express Briefs 56-II(8): 669-673 (2009) - [j39]Pablo A. Estévez, M. Tesmer, Claudio A. Perez, Jacek M. Zurada:
Normalized Mutual Information Feature Selection. IEEE Trans. Neural Networks 20(2): 189-201 (2009) - [c69]Adam Slowik, Jacek M. Zurada:
Evolutionary Optimization of Number of Gates in PLA Circuits Implemented in VLSI Circuits. EvoWorkshops 2009: 363-368 - [c68]Wei Zhou, Jacek M. Zurada:
A class of discrete-time recurrent neural networks with multivalued neurons. IJCNN 2009: 3555-3558 - [c67]Maciej A. Mazurowski, Jordan M. Malof, Jacek M. Zurada, Georgia D. Tourassi:
A comparative study of database reduction methods for case-based computer-aided detection systems: preliminary results. Computer-Aided Diagnosis 2009: 72600F - 2008
- [j38]Jacek M. Zurada:
Newly elected AdCom Members-Class of 2010 [Society Briefs]. IEEE Comput. Intell. Mag. 3(2): 9-11 (2008) - [j37]Maciej Majewski, Jacek M. Zurada:
Sentence recognition using artificial neural networks. Knowl. Based Syst. 21(7): 629-635 (2008) - [j36]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) - [j35]Igor N. Aizenberg, Dmitriy Paliy, Jacek M. Zurada, Jaakko Astola:
Blur Identification by Multilayer Neural Network Based on Multivalued Neurons. IEEE Trans. Neural Networks 19(5): 883-898 (2008) - [c66]Minh Ngoc Nguyen, Jacek M. Zurada, Jagath C. Rajapakse:
Extracting decision rules in prediction of protein secondary structure. BIBE 2008: 1-6 - [c65]L. P. Tay, Jacek M. Zurada, Lai-Ping Wong:
HieNet architecture using the K-Iterations Fast Learning artificial Neural Networks. IJCNN 2008: 338-345 - [c64]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 - [c63]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 - [c62]Maciej A. Mazurowski, Jacek M. Zurada, Georgia D. Tourassi:
Reliability Assessment of Ensemble Classifiers: Application in Mammography. Digital Mammography / IWDM 2008: 366-370 - [c61]Maciej A. Mazurowski, Jacek M. Zurada, Georgia D. Tourassi:
Database decomposition of a knowledge-based CAD system in mammography: an ensemble approach to improve detection. Computer-Aided Diagnosis 2008: 69151K - [e6]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. Lecture Notes in Computer Science 5097, Springer 2008, ISBN 978-3-540-69572-1 [contents] - [e5]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. Lecture Notes in Computer Science 5050, Springer 2008, ISBN 978-3-540-68858-7 [contents] - 2007
- [j34]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) - [j33]Lipo Wang, Wen Liu, Haixiang Shi, Jacek M. Zurada:
Cellular Neural Networks With Transient Chaos. IEEE Trans. Circuits Syst. II Express Briefs 54-II(5): 440-444 (2007) - [j32]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 Trans. Fuzzy Syst. 15(4): 673-685 (2007) - [j31]James T. Kwok, Ivor Wai-Hung Tsang, Jacek M. Zurada:
A Class of Single-Class Minimax Probability Machines for Novelty Detection. IEEE Trans. Neural Networks 18(3): 778-785 (2007) - [j30]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 Trans. Neural Networks 18(6): 1645-1657 (2007) - [j29]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 Trans. Syst. Man Cybern. Part B 37(1): 100-109 (2007) - [c60]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 - [c59]Maciej A. Mazurowski, Jacek M. Zurada:
Solving decentralized multi-agent control problems with genetic algorithms. IEEE Congress on Evolutionary Computation 2007: 1029-1034 - [c58]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 - [c57]Jacek M. Zurada:
Neural Networks with Complex-Valued Neurons for Recurrent and Feedforward Architectures. ICMLA 2007 - [c56]Jacek M. Zurada, Igor N. Aizenberg:
Fully Coupled and Feedforward Neural Networks with Complex-Valued Neurons. IDC 2007: 41-50 - [c55]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 - [c54]Pablo A. Estévez, Ricardo Zilleruelo-Ramos, Jacek M. Zurada:
Window Merge Neural Gas for Processing Pattern Sequences. IJCNN 2007: 2069-2074 - [c53]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 - [c52]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 - [c51]Piotr A. Habas, Jacek M. Zurada, Adel Said Elmaghraby, Georgia D. Tourassi:
Particle swarm optimization of neural network CAD systems with clinically relevant objectives. Computer-Aided Diagnosis 2007: 65140M - [c50]Maciej A. Mazurowski, Jacek M. Zurada:
Solving Multi-agent Control Problems Using Particle Swarm Optimization. SIS 2007: 105-111 - 2006
- [j28]Mehmet Kerem Müezzinoglu, Jacek M. Zurada:
RBF-based neurodynamic nearest neighbor classification in real pattern space. Pattern Recognit. 39(5): 747-760 (2006) - [j27]Ivor Wai-Hung Tsang, James Tin-Yau Kwok, Jacek M. Zurada:
Generalized Core Vector Machines. IEEE Trans. Neural Networks 17(5): 1126-1140 (2006) - [c49]Piotr A. Habas, Jacek M. Zurada, Adel Said Elmaghraby, Georgia D. Tourassi:
Probabilistic Framework for Reliability Analysis of Information-Theoretic CAD Systems in Mammography. EMBC 2006: 6113-6116 - [c48]Wen Liu, Haixiang Shi, Lipo Wang, Jacek M. Zurada:
Chaotic Cellular Neural Networks with Negative Self-feedback. ICAISC 2006: 66-75 - [c47]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 - [c46]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 - [c45]Piotr A. Habas, Jacek M. Zurada, Adel Said Elmaghraby, Georgia D. Tourassi:
Confidence-based stratification of CAD recommendations with application to breast cancer detection. Image Processing 2006: 61445G - [e4]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. Lecture Notes in Computer Science 4029, Springer 2006, ISBN 3-540-35748-3 [contents] - [e3]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. Lecture Notes in Computer Science 3971, Springer 2006, ISBN 3-540-34439-X [contents] - [e2]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. Lecture Notes in Computer Science 3972, Springer 2006, ISBN 3-540-34437-3 [contents] - [e1]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. Lecture Notes in Computer Science 3973, Springer 2006, ISBN 3-540-34482-9 [contents] - 2005
- [j26]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) - [j25]Mehmet Kerem Müezzinoglu, Cüneyt Güzelis, Jacek M. Zurada:
An energy function-based design method for discrete hopfield associative memory with attractive fixed points. IEEE Trans. Neural Networks 16(2): 370-378 (2005) - [c44]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 - [c43]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 - [c42]Piotr A. Habas, Georgia D. Tourassi, Nevine H. Eltonsy, Adel Said Elmaghraby, Jacek M. Zurada:
A novel technique for assessing the case-specific reliability of decisions made by CAD tools. Image Processing 2005 - 2004
- [j24]Renata Smolíkova, Mark P. Wachowiak, Jacek M. Zurada:
An information-theoretic approach to estimating ultrasound backscatter characteristics. Comput. Biol. Medicine 34(4): 355-370 (2004) - [j23]Mykola Lysetskiy, Jacek M. Zurada:
Bifurcating neuron: computation and learning. Neural Networks 17(2): 225-232 (2004) - [j22]Wlodzislaw Duch, Rudy Setiono, Jacek M. Zurada:
Computational intelligence methods for rule-based data understanding. Proc. IEEE 92(5): 771-805 (2004) - [j21]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. Evol. Comput. 8(3): 289-301 (2004) - [j20]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 Trans. Neural Networks 15(1): 1-5 (2004) - [j19]Andrzej Lozowski, Mykola Lysetskiy, Jacek M. Zurada:
Signal Processing with temporal sequences in olfactory systems. IEEE Trans. Neural Networks 15(5): 1268-1275 (2004) - [c41]Andrzej Cichocki, Jacek M. Zurada:
Blind Signal Separation and Extraction: Recent Trends, Future Perspectives, and Applications. ICAISC 2004: 30-37 - [c40]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 - [c39]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 - [c38]Yanfeng Jou, Jacek M. Zurada, Waldemar Karwowski:
Prediction of dynamic forces on lumbar joint using a recurrent neural network model. ICMLA 2004: 360-365 - [c37]James S. Kirk, Jacek M. Zurada:
Topography-Enhanced BMU Search in Self-Organizing Maps. ISNN (2) 2004: 695-700 - 2003
- [j18]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) - [j17]Adam E. Gaweda, Jacek M. Zurada:
Data-driven linguistic modeling using relational fuzzy rules. IEEE Trans. Fuzzy Syst. 11(1): 121-134 (2003) - [j16]Mehmet Kerem Müezzinoglu, Cüneyt Güzelis, Jacek M. Zurada:
A new design method for the complex-valued multistate Hopfield associative memory. IEEE Trans. Neural Networks 14(4): 891-899 (2003) - [c36]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 - [c35]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 - [c34]Jaroslaw Bilski, Jacek Smolag, Jacek M. Zurada:
Systolic Architectures for Soft Computing Algorithms. PPAM 2003: 601-608 - 2002
- [j15]Mykola Lysetskiy, Andrzej Lozowski, Jacek M. Zurada:
Temporal-to-spatial dynamic mapping, flexible recognition, and temporal correlations in an olfactory cortex model. Biol. Cybern. 87(1): 58-67 (2002) - [j14]Mykola Lysetskiy, Andrzej Lozowski, Jacek M. Zurada:
Invariant Recognition of Spatio Temporal Patterns in The Olfactory System Model. Neural Process. Lett. 15(3): 225-234 (2002) - [j13]Mark P. Wachowiak, Renata Smolíkova, Jacek M. Zurada, Adel Said Elmaghraby:
Estimation of K distribution parameters using neural networks. IEEE Trans. Biomed. Eng. 49(6): 617-620 (2002) - [j12]Jacek M. Zurada:
Editorial - year 2002: submission options streamlined. IEEE Trans. Neural Networks 13(1): 2 (2002) - [j11]Rudy Setiono, Wee Kheng Leow, Jacek M. Zurada:
Extraction of rules from artificial neural networks for nonlinear regression. IEEE Trans. Neural Networks 13(3): 564-577 (2002) - [c33]Jacek M. Zurada:
Future Challenges in Soft Computing: Theory? Computational Paradigms? Applications? FSKD 2002: 11 - [c32]Adam E. Gaweda, Jacek M. Zurada, Peter B. Aronhime:
Efficient data-driven modeling with fuzzy relational rule network. FUZZ-IEEE 2002: 174-178 - [c31]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 - [c30]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 - 2001
- [j10]Hiroshi Wakuya, Jacek M. Zurada:
Bi-directional computing architecture for time series prediction. Neural Networks 14(9): 1307-1321 (2001) - [j9]Ying Tan, Jun Wang, Jacek M. Zurada:
Nonlinear blind source separation using a radial basis function network. IEEE Trans. Neural Networks 12(1): 124-134 (2001) - [c29]Adam E. Gaweda, Jacek M. Zurada:
Data-driven Design of Fuzzy System With Rational Input Partition. FUZZ-IEEE 2001: 610-613 - [c28]Adam E. Gaweda, Jacek M. Zurada, Rudy Setiono:
Input Selection in Data-Driven Fuzzy Modelling. FUZZ-IEEE 2001: 1251-1254 - 2000
- [j8]Yuanqing Li, Jun Wang, Jacek M. Zurada:
Blind extraction of singularly mixed source signals. IEEE Trans. Neural Networks Learn. Syst. 11(6): 1413-1422 (2000) - [c27]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 - [c26]Adam E. Gaweda, Jacek M. Zurada:
Fuzzy Neural Network with Relational Fuzzy Rules. IJCNN (5) 2000: 3-7 - [c25]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 - [c24]Jacek M. Zurada:
Neural Networks: Binary Monotonic and Multiple-Valued. ISMVL 2000: 67-76
1990 – 1999
- 1999
- [c23]Andrzej Lozowski, Rafal Komendarczyk, Jacek M. Zurada:
Hamiltonian vector field for the Lorenz invariant set. IJCNN 1999: 404-408 - [c22]Peter Lada, Michael E. Brier, Jacek M. Zurada:
Therapeutic drug dosing prediction using adaptive models and artificial neural networks. IJCNN 1999: 3669-3673 - [c21]Adam E. Gaweda, Jacek M. Zurada:
Application of self-organizing network and MLP for fuzzy rule extraction. IJCNN 1999: 4289-4293 - 1998
- [j7]Kenton Graviss, Jacek M. Zurada:
A Neural Network Controller for Optimal Temperature Control of Household Refrigerators. Intell. Autom. Soft Comput. 4(4): 357-371 (1998) - [j6]Damon A. Miller, Jacek M. Zurada:
A dynamical system perspective of structural learning with forgetting. IEEE Trans. Neural Networks 9(3): 508-515 (1998) - [j5]C. Lee Giles, R. Sun, Jacek M. Zurada:
Neural Networks And Hybrid Intelligent Models: Foundations, Theory, And Applications. IEEE Trans. Neural Networks 9(5): 721-723 (1998) - [c20]Jacek M. Zurada:
From Chaos to Organization: Neurodynamics of 2D Active Medium. ICONIP 1998: 12 - 1997
- [j4]Jacek M. Zurada, Aleksander Malinowski, Shiro Usui:
Perturbation method for deleting redundant inputs of perceptron networks. Neurocomputing 14(2): 177-193 (1997) - [c19]Hatem M. Deif, Jacek M. Zurada:
Inverse mapping of continuous functions using feedforward neural networks. ICNN 1997: 744-748 - [c18]Jacek M. Zurada, Andrzej Lozowski, Aleksander Malinowski:
Yield improvement for GaAs IC manufacturing using neural network inverse modeling. ICNN 1997: 800-805 - [c17]Damon A. Miller, Jacek M. Zurada:
Dynamics of structural learning with an adaptive forgetting rate. ICNN 1997: 1827-1832 - [c16]Tomasz J. Cholewo, Jacek M. Zurada:
Sequential network construction for time series prediction. ICNN 1997: 2034-2038 - 1996
- [j3]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) - [j2]Stanislaw Jankowski, Andrzej Lozowski, Jacek M. Zurada:
Complex-valued multistate neural associative memory. IEEE Trans. Neural Networks 7(6): 1491-1496 (1996) - [c15]Damon A. Miller, Jacek M. Zurada, John H. Lilly:
Pruning via Dynamic Adaptation of the Forgetting Rate in Structural Learning. ICNN 1996: 448 - [c14]Aleksander Malinowski, Damon A. Miller, Jacek M. Zurada:
Reduction of neural network models for identification and control of nonlinear systems. ICNN 1996: 2250-2254 - 1995
- [c13]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 - [c12]Aleksander Malinowski, Jacek M. Zurada, John H. Lilly:
Inverse control of nonlinear systems using neural network observer and inverse mapping approach. ICNN 1995: 2513-2518 - [c11]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 - [c10]Aleksander Malinowski, Tomasz J. Cholewo, Jacek M. Zurada:
Capabilities and Limitations of Feedforward Neural Networks with Multilevel Neurons. ISCAS 1995: 131-134 - [c9]Stanislaw Jankowski, Andrzej Lozowski, Jacek M. Zurada:
Multivalued Neural Associative Memory. ISCAS 1995: 1148-1151 - [c8]Gregory L. Creech, Jacek M. Zurada, Peter B. Aronhime:
Feedforward Neural Networks for Estimating IC Parametric Yield and Device Characterization. ISCAS 1995: 1520-1523 - [c7]Andries P. Engelbrecht, Ian Cloete, Jaco Geldenhuys, Jacek M. Zurada:
Automatic Scaling using Gamma Learning for Feedforward Neural Networks. IWANN 1995: 374-381 - [c6]Andries P. Engelbrecht, Ian Cloete, Jacek M. Zurada:
Determining the Significance of Input Parameters using Sensitivity Analysis. IWANN 1995: 382-388 - 1994
- [c5]Aleksander Malinowski, Jacek M. Zurada, Peter B. Aronhime:
Minimal Training Set Size Estimation for Neural Network-Based Function Approximation. ISCAS 1994: 403-406 - [c4]Jacek M. Zurada, Aleksander Malinowski, Ian Cloete:
Sensitivity Analysis for Minimization of Input Data Dimension for Feedforward Neural Network. ISCAS 1994: 447-450 - [c3]Mehul Desai, Peter B. Aronhime, Jacek M. Zurada:
Current-Mode Network Transformations. ISCAS 1994: 599-602 - 1993
- [c2]Jacek M. Zurada:
Lambda learning rule for feedforward neural networks. ICNN 1993: 1808-1811 - [c1]Jacek M. Zurada, Aleksander Malinowski, P. Przestrzelski:
Modified Hebbian learning rule for single layer learning. ISCAS 1993: 2407-2410 - 1990
- [j1]Jacek M. Zurada, Weigong Shen:
Sufficient condition for convergence of a relaxation algorithm in actual single-layer neural networks. IEEE Trans. Neural Networks 1(4): 300-303 (1990)
Coauthor Index
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last updated on 2024-12-23 20:28 CET by the dblp team
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