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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
- 2025
[j94]Qinwei Fan, Li Zhou, Jacek M. Zurada, Jigen Peng, Haiyang Li, Jian Wang, Dakun Yang:
Convergence Analysis of Regularized Elman Neural Networks Under Relaxed Conditions. IEEE Trans. Syst. Man Cybern. Syst. 55(1): 430-442 (2025)- 2024
- [j93]Qinwei Fan
, Qian Kang, Jacek M. Zurada, Tingwen Huang, Dongpo Xu:
Convergence Analysis of Online Gradient Method for High-Order Neural Networks and Their Sparse Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18687-18701 (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
- [c105]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) - [c104]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 - [c103]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) - [c102]Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada:
A New Algorithm with a Line Search for Feedforward Neural Networks Training. ICAISC (1) 2020: 15-26 - [c101]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) - [c100]Babajide O. Ayinde, Keishin Nishihama, Jacek M. Zurada:
Diversity Regularized Adversarial Deep Learning. AIAI 2019: 292-306 - [c99]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) - [c98]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) - [c97]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) - [c96]Lu Hou, James T. Kwok, Jacek M. Zurada:
Efficient Learning of Timeseries Shapelets. AAAI 2016: 1209-1215 - [c95]Babajide O. Ayinde, Ehsan Hosseini-Asl, Jacek M. Zurada:
Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning. ICAISC (1) 2016: 3-14 - [c94]Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada:
Application of the Givens Rotations in the Neural Network Learning Algorithm. ICAISC (1) 2016: 46-56 - [c93]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 - [c92]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) - [c91]Jaroslaw Bilski, Jacek Smolag, Jacek M. Zurada:
Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks. ICAISC (1) 2015: 3-14 - [c90]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) - [c89]Jian Wang, Jacek M. Zurada, Yanjiang Wang, Jing Wang, Guofang Xie:
Boundedness of Weight Elimination for BP Neural Networks. ICAISC (1) 2014: 155-165 - [c88]Ehsan Hosseini-Asl, Jacek M. Zurada:
Nonnegative Matrix Factorization for Document Clustering: A Survey. ICAISC (2) 2014: 726-737 - [c87]Ehsan Hosseini-Asl, Jacek M. Zurada, Ayman El-Baz:
Lung segmentation based on Nonnegative Matrix Factorization. ICIP 2014: 877-881 - [c86]Wei Zhou, Jacek M. Zurada:
Stability condition for discrete time multi-valued recurrent neural networks in asynchronous update mode. IJCNN 2014: 3402-3405 - [c85]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
- [c84]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) - [c83]Tolga Ensari, Jan Chorowski, Jacek M. Zurada:
Correntropy-Based Document Clustering via Nonnegative Matrix Factorization. ICANN (2) 2012: 347-354 - [c82]Jan Chorowski, Jacek M. Zurada:
Obtaining Full Regularization Paths for Robust Sparse Coding with Applications to Face Recognition. ICMLA (1) 2012: 356-361 - [c81]Tolga Ensari, Jan Chorowski, Jacek M. Zurada:
Occluded Face Recognition Using Correntropy-Based Nonnegative Matrix Factorization. ICMLA (1) 2012: 606-609 - [c80]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]