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Jacek M. Zurada
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- affiliation: University of Louisville, Department of Electrical and Computer Engineering, KY, USA
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2020 – today
- 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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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To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-21 20:23 CEST by the dblp team
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