Jacek M. Zurada

ORCID

Publication Activity (10 Years)

Years Active: 1990-2023
Publications (10 Years): 54

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

CoRR

ICAISC (1)

Neural Networks

Publications

Affan Affan, Jacek M. Zurada, Tamer Inanc
Patient-Specific Modeling and Model Predictive Control Approach to Personalized Optimal Anemia Management. EMBC (2023)
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 (2022)
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) (2022)
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) (2022)
Qinwei Fan, Qian Kang, Jacek M. Zurada
Convergence analysis for sigma-pi-sigma neural network based on some relaxed conditions. Inf. Sci. 585 (2022)
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) (2021)
Affan Affan, Jacek M. Zurada, Tamer Inanc
Adaptive Individualized Modeling From Limited Clinical Data for Precise Anemia Management. IEEE Access 9 (2021)
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)
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)
Celina M. Olszak, Jacek M. Zurada, Dilek Cetindamar
Business Intelligence & Big Data for Innovative and Sustainable Development of Organizations. Inf. Syst. Manag. 38 (4) (2021)
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) (2021)
Celina M. Olszak, Jacek M. Zurada, Dilek Kozanoglu
Introduction to the Minitrack on Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations. HICSS (2021)
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 (2021)
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 (2020)
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) (2020)
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)
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) (2020)
Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada
A New Algorithm with a Line Search for Feedforward Neural Networks Training. ICAISC (1) (2020)
D. Jude Hemanth, Jacek M. Zurada, Hemant P. Kasturiwale
Editorial. Intell. Decis. Technol. 14 (1) (2020)
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) (2019)
Babajide O. Ayinde, Keishin Nishihama, Jacek M. Zurada
Diversity Regularized Adversarial Deep Learning. AIAI (2019)
Babajide O. Ayinde, Keishin Nishihama, Jacek M. Zurada
Diversity Regularized Adversarial Learning. CoRR (2019)
Babajide O. Ayinde, Tamer Inanc, Jacek M. Zurada
On Correlation of Features Extracted by Deep Neural Networks. CoRR (2019)
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 (2019)
Babajide O. Ayinde, Tamer Inanc, Jacek M. Zurada
Redundant feature pruning for accelerated inference in deep neural networks. Neural Networks 118 (2019)
Babajide O. Ayinde, Tamer Inanc, Jacek M. Zurada
On Correlation of Features Extracted by Deep Neural Networks. IJCNN (2019)
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) (2018)
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) (2018)
Babajide O. Ayinde, Jacek M. Zurada
Building Efficient ConvNets using Redundant Feature Pruning. CoRR (2018)
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) (2018)
Babajide O. Ayinde, Jacek M. Zurada
Deep Learning of Constrained Autoencoders for Enhanced Understanding of Data. CoRR (2018)
Babajide O. Ayinde, Jacek M. Zurada
Deep Learning of Constrained Autoencoders for Enhanced Understanding of Data. IEEE Trans. Neural Networks Learn. Syst. 29 (9) (2018)
Junhong Zhao, Jacek M. Zurada, Jie Yang, Wei Wu
The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization. Neural Networks 103 (2018)
Feng Li, Jacek M. Zurada, Wei Wu
regularization for input layer of feedforward neural networks. Neurocomputing 314 (2018)
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)
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) (2017)
Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada
Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm. ICAISC (1) (2017)
Donghui Shi, Jian Guan, Jacek M. Zurada, Andrew S. Manikas
A Data-Mining Approach to Identification of Risk Factors in Safety Management Systems. J. Manag. Inf. Syst. 34 (4) (2017)
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 (2017)
Feng Li, Jacek M. Zurada, Yan Liu, Wei Wu
Input Layer Regularization of Multilayer Feedforward Neural Networks. IEEE Access 5 (2017)
Jian Wang, Qingling Cai, Qingquan Chang, Jacek M. Zurada
Convergence analyses on sparse feedforward neural networks via group lasso regularization. Inf. Sci. 381 (2017)
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 (2017)
Babajide O. Ayinde, Jacek M. Zurada
Nonredundant sparse feature extraction using autoencoders with receptive fields clustering. Neural Networks 93 (2017)
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)
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 (2016)
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) (2016)
Ehsan Hosseini-Asl, Jacek M. Zurada
Structured Sparse Convolutional Autoencoder. CoRR (2016)
Babajide O. Ayinde, Jacek M. Zurada
Clustering of receptive fields in Autoencoders. IJCNN (2016)
Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada
Application of the Givens Rotations in the Neural Network Learning Algorithm. ICAISC (1) (2016)
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) (2016)
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) (2016)
Lu Hou, James T. Kwok, Jacek M. Zurada
Efficient Learning of Timeseries Shapelets. AAAI (2016)
Babajide O. Ayinde, Ehsan Hosseini-Asl, Jacek M. Zurada
Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning. ICAISC (1) (2016)
Ehsan Hosseini-Asl, Jacek M. Zurada, Olfa Nasraoui
Deep Learning of Part-based Representation of Data Using Sparse Autoencoders with Nonnegativity Constraints. CoRR (2016)
Wei Zhou, Jacek M. Zurada
New stability condition for discrete-time fully coupled neural networks with multivalued neurons. Neurocomputing 166 (2015)
Ehsan Hosseini-Asl, Jacek M. Zurada, Ayman El-Baz
Automatic segmentation of pathological lung using incremental nonnegative matrix factorization. ICIP (2015)
Jaroslaw Bilski, Jacek Smolag, Jacek M. Zurada
Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks. ICAISC (1) (2015)
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) (2015)
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) (2015)
Jan Chorowski, Jacek M. Zurada
Learning Understandable Neural Networks With Nonnegative Weight Constraints. IEEE Trans. Neural Networks Learn. Syst. 26 (1) (2015)
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) (2015)
Jian Wang, Jacek M. Zurada, Yanjiang Wang, Jing Wang, Guofang Xie
Boundedness of Weight Elimination for BP Neural Networks. ICAISC (1) (2014)
Ehsan Hosseini-Asl, Jacek M. Zurada, Ayman El-Baz
Lung segmentation based on Nonnegative Matrix Factorization. ICIP (2014)
Qin-wei Fan, Jacek M. Zurada, Wei Wu
regularization penalty. Neurocomputing 131 (2014)
Wei Wu, Qin-wei Fan, Jacek M. Zurada, Jian Wang, Dakun Yang, Yan Liu
regularization for training of feedforward neural networks. Neural Networks 50 (2014)
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) (2014)
Ehsan Hosseini-Asl, Jacek M. Zurada
Nonnegative Matrix Factorization for Document Clustering: A Survey. ICAISC (2) (2014)
Wei Zhou, Jacek M. Zurada
Stability condition for discrete time multi-valued recurrent neural networks in asynchronous update mode. IJCNN (2014)
Wei Zhou, Jacek M. Zurada
A new stability condition for discrete time recurrent neural networks with complex-valued linear threshold neurons. IJCNN (2014)
Jan Chorowski, Jian Wang, Jacek M. Zurada
Review and performance comparison of SVM- and ELM-based classifiers. Neurocomputing 128 (2014)
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) (2014)
Jacek M. Zurada, Tolga Ensari, Ehsan Hosseini-Asl, Jan Chorowski
Nonnegative Matrix Factorization and Its Application to Pattern Analysis and Text Mining. FedCSIS (2013)
Wei Zhou, Jacek M. Zurada
A Competitive Layer Model for Cellular Neural Networks. Neural Networks 33 (2012)
Jian Wang, Wei Wu, Jacek M. Zurada
Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks. ISNN (1) (2012)
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 (2012)
Tolga Ensari, Jan Chorowski, Jacek M. Zurada
Correntropy-Based Document Clustering via Nonnegative Matrix Factorization. ICANN (2) (2012)
Tolga Ensari, Jan Chorowski, Jacek M. Zurada
Occluded Face Recognition Using Correntropy-Based Nonnegative Matrix Factorization. ICMLA (1) (2012)
Jan Chorowski, Jacek M. Zurada
Obtaining Full Regularization Paths for Robust Sparse Coding with Applications to Face Recognition. ICMLA (1) (2012)
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) (2011)
Bart Baesens, David Martens, Rudy Setiono, Jacek M. Zurada
Guest Editorial White Box Nonlinear Prediction Models. IEEE Trans. Neural Networks 22 (12) (2011)
Lena Pietruczuk, Jacek M. Zurada
Weak Convergence of the Recursive Parzen-Type Probabilistic Neural Network in a Non-stationary Environment. PPAM (1) (2011)
Jian Wang, Wei Wu, Jacek M. Zurada
Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty. IJCNN (2011)
Jan Chorowski, Jacek M. Zurada
Extracting Rules From Neural Networks as Decision Diagrams. IEEE Trans. Neural Networks 22 (12) (2011)
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)
Jian Wang, Wei Wu, Jacek M. Zurada
Deterministic convergence of conjugate gradient method for feedforward neural networks. Neurocomputing 74 (14-15) (2011)
Piotr Duda, Jacek M. Zurada
On the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise. PPAM (1) (2011)
Jan Chorowski, Jacek M. Zurada
Top-Down Induction of Reduced Ordered Decision Diagrams from Neural Networks. ICANN (2) (2011)
Swathi Kavuri Sri, Jacek M. Zurada, Jagath C. Rajapakse
Evolutionary approach to ICA-R. IJCNN (2010)
Zexuan Zhu, Yew-Soon Ong, Jacek M. Zurada
Identification of Full and Partial Class Relevant Genes. IEEE ACM Trans. Comput. Biol. Bioinform. 7 (2) (2010)
Wei Zhou, Jacek M. Zurada
Competitive Layer Model of Discrete-Time Recurrent Neural Networks with LT Neurons. Neural Comput. 22 (8) (2010)
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)
Kiril Tenekedjiev, Jacek M. Zurada
Guest EditorialIntelligent systems. Int. J. Gen. Syst. 39 (5) (2010)
Min-Jae Kang, Chang-Jin Boo, Ho-Chan Kim, Jacek M. Zurada
Estimating Soil Parameters Using the Kernel Function. ICCSA (2) (2010)
Wei Zhou, Jacek M. Zurada
A class of discrete time recurrent neural networks with multivalued neurons. Neurocomputing 72 (16-18) (2009)
Adam Slowik, Jacek M. Zurada
Evolutionary Optimization of Number of Gates in PLA Circuits Implemented in VLSI Circuits. EvoWorkshops (2009)
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)
Wei Zhou, Jacek M. Zurada
Discrete-Time Recurrent Neural Networks With Complex-Valued Linear Threshold Neurons. IEEE Trans. Circuits Syst. II Express Briefs (8) (2009)
Wei Zhou, Jacek M. Zurada
A class of discrete-time recurrent neural networks with multivalued neurons. IJCNN (2009)
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) (2009)
Pablo A. Estévez, M. Tesmer, Claudio A. Perez, Jacek M. Zurada
Normalized Mutual Information Feature Selection. IEEE Trans. Neural Networks 20 (2) (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jacek M. Zurada