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2020 – today
- 2020
[j94]D. Jude Hemanth, Jacek M. Zurada, Hemant Kasturiwale:
Editorial. Intell. Decis. Technol. 14(1) (2020)- [j93]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) - [j92]Celina M. Olszak, Jozef M. Zurada:
From the Special Issue Editors. Inf. Syst. Manag. 37(3): 184-185 (2020) - [j91]Celina M. Olszak, Jozef M. Zurada:
Big Data in Capturing Business Value. Inf. Syst. Manag. 37(3): 240-254 (2020) - [j90]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) - [c117]Celina M. Olszak, Jozef M. Zurada, Dilek Kozanoglu:
Introduction to the Minitrack on Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations. HICSS 2020: 1-2 - [c116]Donghui Shi, Jian Guan, Jozef M. Zurada, Alan Levitan:
Improving Prediction Models for Mass Assessment: A Data Stream Approach. HICSS 2020: 1-10 - [c115]Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada:
A New Algorithm with a Line Search for Feedforward Neural Networks Training. ICAISC (1) 2020: 15-26 - [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
- [j89]Donghui Shi, Jacek M. Zurada, Waldemar Karwowski, Jian Guan, Erman Çakit:
Batch and data streaming classification models for detecting adverse events and understanding the influencing factors. Eng. Appl. Artif. Intell. 85: 72-84 (2019) - [j88]Babajide O. Ayinde, Tamer Inanc, Jacek M. Zurada:
Redundant feature pruning for accelerated inference in deep neural networks. Neural Networks 118: 148-158 (2019) - [j87]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) - [c114]Celina M. Olszak, Sandeep Goyal, Jozef M. Zurada:
Introduction to the Minitrack on Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations. HICSS 2019: 1-2 - [c113]Celina M. Olszak, Jozef M. Zurada:
Big Data-driven Value Creation for Organizations. HICSS 2019: 1-10 - [c112]Donghui Shi, Jozef M. Zurada, Waldemar Karwowski, Jian Guan:
Data Stream Models for Predicting Adverse Events in a War Theater. HICSS 2019: 1-10 - [c111]Babajide O. Ayinde, Keishin Nishihama, Jacek M. Zurada:
Diversity Regularized Adversarial Deep Learning. AIAI 2019: 292-306 - [c110]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
- [j86]Feng Li, Jacek M. Zurada, Wei Wu:
Smooth group L1/2 regularization for input layer of feedforward neural networks. Neurocomputing 314: 109-119 (2018) - [j85]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) - [j84]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) - [j83]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) - [j82]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) - [j81]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) - [c109]Saliya Kirigeeganage, Douglas Jackson, Jacek M. Zurada, John 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
- [j80]Feng Li, Jacek M. Zurada, Yan Liu, Wei Wu:
Input Layer Regularization of Multilayer Feedforward Neural Networks. IEEE Access 5: 10979-10985 (2017) - [j79]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) - [j78]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) - [j77]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) - [j76]Donghui Shi, Jian Guan, Jacek M. Zurada, Andrew Manikas:
A Data-Mining Approach to Identification of Risk Factors in Safety Management Systems. J. Manag. Inf. Syst. 34(4): 1054-1081 (2017) - [j75]Babajide O. Ayinde, Jacek M. Zurada:
Nonredundant sparse feature extraction using autoencoders with receptive fields clustering. Neural Networks 93: 99-109 (2017) - [j74]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) - [c108]Mehmed M. Kantardzic, Jozef M. Zurada:
Introduction to Streaming Data Analytics and Applications Minitrack. HICSS 2017: 1 - [c107]Donghui Shi, Jozef M. Zurada, Jian Guan:
Identification of Human Factors in Aviation Incidents Using a Data Stream Approach. HICSS 2017: 1-10 - [c106]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
- [j73]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) - [j72]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) - [j71]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) - [j70]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) - [c105]Lu Hou, James T. Kwok, Jacek M. Zurada:
Efficient Learning of Timeseries Shapelets. AAAI 2016: 1209-1215 - [c104]Mehmed M. Kantardzic, Jozef M. Zurada:
Introduction to Streaming Data Analytics and Applications Minitrack. HICSS 2016: 1729 - [c103]Donghui Shi, Jozef M. Zurada, Jian Guan:
A Bayesian Network Approach to Classifying Bad Debt in Hospitals. HICSS 2016: 3298-3307 - [c102]Babajide O. Ayinde, Ehsan Hosseini-Asl, Jacek M. Zurada:
Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning. ICAISC (1) 2016: 3-14 - [c101]Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada:
Application of the Givens Rotations in the Neural Network Learning Algorithm. ICAISC (1) 2016: 46-56 - [c100]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 - [c99]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
- [j69]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) - [j68]Wei Zhou, Jacek M. Zurada:
New stability condition for discrete-time fully coupled neural networks with multivalued neurons. Neurocomputing 166: 38-43 (2015) - [j67]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) - [j66]Jan Chorowski, Jacek M. Zurada:
Learning Understandable Neural Networks With Nonnegative Weight Constraints. IEEE Trans. Neural Networks Learn. Syst. 26(1): 62-69 (2015) - [j65]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) - [c98]Donghui Shi, Jozef M. Zurada, Jian Guan:
A Neuro-Fuzzy System with Semi-supervised Learning for Bad Debt Recovery in the Healthcare Industry. HICSS 2015: 3115-3124 - [c97]Jaroslaw Bilski, Jacek Smolag, Jacek M. Zurada:
Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks. ICAISC (1) 2015: 3-14 - [c96]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
- [j64]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) - [j63]Jan Chorowski, Jian Wang, Jacek M. Zurada:
Review and performance comparison of SVM- and ELM-based classifiers. Neurocomputing 128: 507-516 (2014) - [j62]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) - [j61]Jian Guan, Donghui Shi, Jozef M. Zurada, Alan Levitan:
Analyzing Massive Data Sets: An Adaptive Fuzzy Neural Approach for Prediction, with a Real Estate Illustration. J. Organ. Comput. Electron. Commer. 24(1): 94-112 (2014) - [j60]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) - [j59]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) - [c95]Donghui Shi, Jozef M. Zurada, Jian Guan:
A Neuro-fuzzy Approach to Bad Debt Recovery in Healthcare. HICSS 2014: 2888-2897 - [c94]Jian Wang, Jacek M. Zurada, Yanjiang Wang, Jing Wang, Guofang Xie:
Boundedness of Weight Elimination for BP Neural Networks. ICAISC (1) 2014: 155-165 - [c93]Ehsan Hosseini-Asl, Jacek M. Zurada:
Nonnegative Matrix Factorization for Document Clustering: A Survey. ICAISC (2) 2014: 726-737 - [c92]Ehsan Hosseini-Asl, Jacek M. Zurada, Ayman El-Baz:
Lung segmentation based on Nonnegative Matrix Factorization. ICIP 2014: 877-881 - [c91]Wei Zhou, Jacek M. Zurada:
Stability condition for discrete time multi-valued recurrent neural networks in asynchronous update mode. IJCNN 2014: 3402-3405 - [c90]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
- [j58]Donghui Shi, Jozef M. Zurada, Jian Guan:
An adaptive neuro-fuzzy inference system for predicting the risks of low back disorders due to manual material lifting jobs. Expert Syst. Appl. 40(14): 5490-5500 (2013) - [c89]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 - [c88]Jozef M. Zurada, Donghui Shi, Jian Guan:
A Fuzzy Neural Approach to Classifying Low Back Disorders Risks. HICSS 2013: 2382-2388 - [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
- [j57]Jozef M. Zurada:
Classifying the risk of work related low back disorders due to manual material handling tasks. Expert Syst. Appl. 39(12): 11125-11134 (2012) - [j56]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) - [j55]Wei Zhou, Jacek M. Zurada:
A Competitive Layer Model for Cellular Neural Networks. Neural Networks 33: 216-227 (2012) - [c87]Jozef M. Zurada:
Predicting the Risk of Low Back Disorders due to Manual Handling Tasks. HICSS 2012: 1080-1088 - [c86]Tolga Ensari, Jan Chorowski, Jacek M. Zurada:
Correntropy-Based Document Clustering via Nonnegative Matrix Factorization. ICANN (2) 2012: 347-354 - [c85]Jan Chorowski, Jacek M. Zurada:
Obtaining Full Regularization Paths for Robust Sparse Coding with Applications to Face Recognition. ICMLA (1) 2012: 356-361 - [c84]Tolga Ensari, Jan Chorowski, Jacek M. Zurada:
Occluded Face Recognition Using Correntropy-Based Nonnegative Matrix Factorization. ICMLA (1) 2012: 606-609 - [c83]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
- [j54]Jian Wang, Wei Wu, Jacek M. Zurada:
Deterministic convergence of conjugate gradient method for feedforward neural networks. Neurocomputing 74(14-15): 2368-2376 (2011) - [j53]Jozef M. Zurada, Waldemar Karwowski:
Knowledge Discovery Through Experiential Learning From Business and Other Contemporary Data Sources: A Review and Reappraisal. Inf. Syst. Manag. 28(3): 258-274 (2011) - [j52]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) - [j51]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) - [j50]Jan Chorowski, Jacek M. Zurada:
Extracting Rules From Neural Networks as Decision Diagrams. IEEE Trans. Neural Networks 22(12): 2435-2446 (2011) - [c82]Jozef M. Zurada, K. Niki Kunene:
Comparisons of the Performance of Computational Intelligence Methods for Loan Granting Decisions. HICSS 2011: 1-10 - [c81]Jan Chorowski, Jacek M. Zurada:
Top-Down Induction of Reduced Ordered Decision Diagrams from Neural Networks. ICANN (2) 2011: 309-316 - [c80]Jian Wang, Wei Wu, Jacek M. Zurada:
Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty. IJCNN 2011: 125-132 - [c79]Piotr Duda, Jacek M. Zurada:
On the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise. PPAM (1) 2011: 435-442 - [c78]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 - [c77]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
- [j49]Kiril Tenekedjiev, Jacek M. Zurada:
Guest EditorialIntelligent systems. Int. J. Gen. Syst. 39(5): 453-455 (2010) - [j48]Wei Zhou, Jacek M. Zurada:
Competitive Layer Model of Discrete-Time Recurrent Neural Networks with LT Neurons. Neural Comput. 22(8): 2137-2160 (2010) - [j47]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) - [c76]Jozef M. Zurada:
Could Decision Trees Improve the Classification Accuracy and Interpretability of Loan Granting Decisions?. HICSS 2010: 1-9 - [c75]Jozef M. Zurada, K. Niki Kunene:
Performance Assessment of Data Mining Methods for Loan Granting Decisions: A Preliminary Study. ICAISC (1) 2010: 495-502 - [c74]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 - [c73]Min-Jae Kang, Chang-Jin Boo, Ho-Chan Kim, Jacek M. Zurada:
Estimating Soil Parameters Using the Kernel Function.