Jacek M. Zurada

发表

Neural Networks with Complex-Valued Neurons for Recurrent and Feedforward Architectures

Jacek M. Zurada, 2007, Sixth International Conference on Machine Learning and Applications (ICMLA 2007).

Intelligent E-Learning Systems for Evaluation of User's Knowledge and Skills with Efficient Information Processing

Jacek M. Zurada, Wojciech Kacalak, Maciej Majewski, 2010, ICAISC.

Blind extraction of singularly mixed source signals

Jacek M. Zurada, Jun Wang, Yuanqing Li, 2000, IEEE Trans. Neural Networks Learn. Syst..

2019 IEEE Symposium Series on Computational Intelligence

Robert Kozma, Francisco Herrera, Raymond Chiong, 2019, IEEE Computational Intelligence Magazine.

Building virtual community in computational intelligence and machine learning [Research Frontier]

Jacek M. Zurada, Maciej A. Mazurowski, Janusz Wojtusiak, 2009, IEEE Computational Intelligence Magazine.

Sequential network construction for time series prediction

Jacek M. Zurada, Tomasz J. Cholewo, T. J. Cholewo, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Application of self-organizing network and MLP for fuzzy rule extraction

Jacek M. Zurada, Adam E. Gaweda, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Estimation of K distribution parameters using neural networks

Jacek M. Zurada, Adel Said Elmaghraby, Mark P. Wachowiak, 2002, IEEE Transactions on Biomedical Engineering.

Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms

Jacek M. Zurada, Georgia D. Tourassi, Maciej A. Mazurowski, 2007, 2007 IEEE Congress on Evolutionary Computation.

Artificial Intelligence and Soft Computing

Jacek M. Zurada, Marcin Korytkowski, Rafał Scherer, 2018, Lecture Notes in Computer Science.

An evolutionary method of training topography-preserving maps

Jacek M. Zurada, J. S. Kirk, J. S. Kirk, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

An information-theoretic approach to estimating ultrasound backscatter characteristics

Jacek M. Zurada, Mark P. Wachowiak, Renata Wachowiak-Smolíkova, 2004, Comput. Biol. Medicine.

Unknown Input Method Based Observer Synthesis for a Discrete Time Uncertain T–S Fuzzy System

Jacek M. Zurada, Wen-June Wang, Van-Phong Vu, 2018, IEEE Transactions on Fuzzy Systems.

A new design method for the complex-valued multistate Hopfield associative memory

Jacek M. Zurada, Mehmet Kerem Müezzinoglu, Cüneyt Güzelis, 2003, IEEE Trans. Neural Networks.

Nonnegative Matrix Factorization and its application to pattern analysis and text mining

Jacek M. Zurada, Jan Chorowski, Tolga Ensari, 2013, 2013 Federated Conference on Computer Science and Information Systems.

Artificial Intelligence and Soft Computing : 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II

Jacek M. Zurada, Marcin Korytkowski, Rafał Scherer, 2016 .

Lambda learning rule for feedforward neural networks

Jacek M. Zurada, 1993, IEEE International Conference on Neural Networks.

Nonredundant sparse feature extraction using autoencoders with receptive fields clustering

Jacek M. Zurada, Babajide O. Ayinde, J. Zurada, 2017, Neural Networks.

Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost Recovery

Jacek M. Zurada, Tomasz G. Smolinski, Darrel L. Chenoweth, 2004, ICAISC.

A Hybrid Connectionist for Multiple Regression

Jacek M. Zurada, Rudy Setiono, R. Setiono, 2003 .

Convergence suppression and divergence facilitation: new approach to prune hidden layer and weights of feedforward neural networks

Jacek M. Zurada, Aleksander Malinowski, Syozo Yasui, 1995, Proceedings of ISCAS'95 - International Symposium on Circuits and Systems.

Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity within the Rat's Barrel Cortex

Jacek M. Zurada, Andrzej Wróbel, Mariofanna G. Milanova, 2002, SVM.

Utilization of a Hybrid Neuro-Fuzzy Engine to Predict Trunk Muscle Activity for Sagittal Lifting

Waldemar Karwowski, Jacek M. Zurada, Kermit G. Davis, 2008 .

Artificial Intelligence and Soft Computing

Akira Hirose, Jacek M. Zurada, Marcin Korytkowski, 2012, Lecture Notes in Computer Science.

A Neuro-Fuzzy System with Semi-supervised Learning for Bad Debt Recovery in the Healthcare Industry

Jacek M. Zurada, Jian Guan, Donghui Shi, 2015, 2015 48th Hawaii International Conference on System Sciences.

Convergence Analysis of Inverse Iterative Neural Networks with L2 Penalty

Jacek M. Zurada, Jian Wang, Yanqing Wen, 2016 .

The Application of Neural Fuzzy Approaches to Modeling of Musculoskeletal Responses in Manual Lifting Tasks

Waldemar Karwowski, Jacek M. Zurada, William S. Marras, 2006 .

Pharmacodynamic population analysis in chronic renal failure using artificial neural networks - a comparative study

Jacek M. Zurada, Adam E. Gaweda, Alfred A. Jacobs, 2003, Neural Networks.

Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part II

Zhang Yi, Jacek M. Zurada, Hujun Yin, 2006, International Symposium on Neural Networks.

Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part I

Witold Pedrycz, Jacek M. Zurada, Marcin Korytkowski, 2020, ICAISC.

A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis

Jacek M. Zurada, Tao Gao, Xiaoling Gong, 2020, Inf. Sci..

Window Merge Neural Gas for Processing Pattern Sequences

Jacek M. Zurada, Pablo A. Estévez, Ricardo Zilleruelo-Ramos, 2007, 2007 International Joint Conference on Neural Networks.

Intelligent Neural Network Based Decision Unit for Robot Safety

Waldemar Karwowski, Jacek M. Zurada, James H. Graham, 1996, J. Intell. Fuzzy Syst..

GMDH-type neural networks and their application to the medical image recognition of the lungs

Jacek M. Zurada, Tadashi Kondo, A. S. Pandya, 1999, SICE '99. Proceedings of the 38th SICE Annual Conference. International Session Papers (IEEE Cat. No.99TH8456).

Predicting the Risk of Low Back Disorders due to Manual Handling Tasks

Jacek M. Zurada, J. Zurada, 2012, 2012 45th Hawaii International Conference on System Sciences.

Lung segmentation based on Nonnegative Matrix Factorization

Jacek M. Zurada, Ayman El-Baz, Ehsan Hosseini-Asl, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Self-Organizing Neural Networks Integrating Domain Knowledge and Reinforcement Learning

Jacek M. Zurada, Ah-Hwee Tan, Teck-Hou Teng, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Solving Multi-agent Control Problems Using Particle Swarm Optimization

Jacek M. Zurada, Maciej A. Mazurowski, J. Zurada, 2007, 2007 IEEE Swarm Intelligence Symposium.

Discrete-Time Recurrent Neural Networks With Complex-Valued Linear Threshold Neurons

Jacek M. Zurada, Wei Zhou, J. Zurada, 2009, IEEE Transactions on Circuits and Systems II: Express Briefs.

Pruning via Dynamic Adaptation of the Forgetting Rate in Structural Learning

Jacek M. Zurada, J. H. Lilly, D. A. Miller, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Yield improvement for GaAs IC manufacturing using neural network inverse modeling

Jacek M. Zurada, Aleksander Malinowski, A. Lozowski, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Classifying the risk of work related low back disorders due to manual material handling tasks

Jacek M. Zurada, J. Zurada, 2012, Expert Syst. Appl..

Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I (Lecture Notes in Computer Science)

Jacek M. Zurada, Zhang Yi, Bao-Liang Lu, 2006 .

A predistortion technique for RC‐active biquadratic filters

Jacek M. Zurada, Ken Goodman, J. Zurada, 1983 .

Artificial Intelligence and Soft Computing

Jacek M. Zurada, Zadeh, J. Zurada, 2013, Lecture Notes in Computer Science.

Artificial Intelligence and Soft Computing

Jacek M. Zurada, Marcin Korytkowski, Yuzuru Tanaka, 2014, Lecture Notes in Computer Science.

Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part III

Zhang Yi, Jacek M. Zurada, Hujun Yin, 2006, ISNN.

Learning in a Time-Varying Environment by Making Use of the Stochastic Approximation and Orthogonal Series-Type Kernel Probabilistic Neural Network

Jacek M. Zurada, Maciej Jaworski, J. Zurada, 2011, PPAM.

Hamiltonian vector field for the Lorenz invariant set

Jacek M. Zurada, Andrzej Lozowski, Rafal Komendarczyk, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Neural networks: binary monotonic and multiple-valued

Jacek M. Zurada, 2000, Proceedings 30th IEEE International Symposium on Multiple-Valued Logic (ISMVL 2000).

Robust Identification Approach to Individualized Anemia Model

Jacek M. Zurada, Tamer Inanc, Adam E. Gaweda, 2011 .

Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty

Jacek M. Zurada, Wei Wu, Jian Wang, 2012, Neural Networks.

Feature Selection for Neural Networks Using Group Lasso Regularization

Jacek M. Zurada, Nikhil R. Pal, Jian Wang, 2020, IEEE Transactions on Knowledge and Data Engineering.

On Correlation of Features Extracted by Deep Neural Networks

Jacek M. Zurada, Tamer Inanc, Babajide O. Ayinde, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Nonlinear Blind Source Separation Using a Radial Basis Function Network

Jacek M. Zurada, Jun Wang, Ying Tan, 2001 .

Learning Understandable Neural Networks With Nonnegative Weight Constraints

Jacek M. Zurada, Jan Chorowski, J. Chorowski, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Identification of Low Back Injury from EMG Signals using a Neural Network Model

Waldemar Karwowski, Jacek M. Zurada, William S. Marras, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Boundedness of Weight Elimination for BP Neural Networks

Jing Wang, Jacek M. Zurada, Yanjiang Wang, 2014, ICAISC.

Smooth group L1/2 regularization for input layer of feedforward neural networks

Jacek M. Zurada, Feng Li, Wei Wu, 2018, Neurocomputing.

Estimating Soil Parameters Using the Kernel Function

Ho-Chan Kim, Jacek M. Zurada, Chang-Jin Boo, 2010, ICCSA.

Sensitivity analysis for minimization of input data dimension for feedforward neural network

Jacek M. Zurada, Ian Cloete, Aleksander Malinowski, 1994, Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94.

Knowledge-based neurocomputing

Jacek M. Zurada, Ian Cloete, J. Zurada, 2000 .

Sentence recognition using artificial neural networks

Jacek M. Zurada, Maciej Majewski, J. Zurada, 2008, Knowl. Based Syst..

Artificial Intelligence and Soft Computing: 11th International Conference, ICAISA 2012, Zakopane, Poland, April 29 - 3 May, 2012, Proceedings, Part I

Jacek M. Zurada, Marcin Korytkowski, Rafał Scherer, 2012, SOCO 2012.

Batch and data streaming classification models for detecting adverse events and understanding the influencing factors

Waldemar Karwowski, Jacek M. Zurada, Jian Guan, 2019, Eng. Appl. Artif. Intell..

Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I ... / Lecture Notes in Artificial Intelligence)

Jacek M. Zurada, Marcin Korytkowski, Rafał Scherer, 2013 .

Cross-Layer Design of Joint Beamforming and Random Network Coding in Wireless Multicast Networks

Jacek M. Zurada, Bin Li, Hongxiang Li, 2014, IEEE Communications Letters.

Artificial Intelligence and Soft Computing

Jacek M. Zurada, Marcin Korytkowski, Rafał Scherer, 2019, Lecture Notes in Computer Science.

Artificial Intelligence and Soft Computing

Jacek M. Zurada, Zadeh, 2013, Lecture Notes in Computer Science.

Evolutionary approach to ICA-R

Jacek M. Zurada, Swathi Kavuri Sri, Jagath C. Rajapakse, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Artificial Intelligence and Soft Computing

Akira Hirose, Jacek M. Zurada, Marcin Korytkowski, 2012, Lecture Notes in Computer Science.

KNOWLEDGE DISCOVERY FROM CONTINUOUS DATA USING ARTIFICIAL NEURAL NETWORKS

Jacek M. Zurada, Rudy Setiono, R. Setiono, 2004 .

Competitive Layer Model of Discrete-Time Recurrent Neural Networks with LT Neurons

Jacek M. Zurada, Wei Zhou, J. Zurada, 2010, Neural Computation.

Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II

Witold Pedrycz, Jacek M. Zurada, Marcin Korytkowski, 2020, ICAISC.

Numerical modeling of continuous-time fully coupled neural networks

Jacek M. Zurada, M. J. Kang, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

Blur Identification by Multilayer Neural Network Based on Multivalued Neurons

Jacek M. Zurada, Jaakko Astola, Igor N. Aizenberg, 2008, IEEE Transactions on Neural Networks.

Complex-valued multistate neural associative memory

Jacek M. Zurada, Stanislaw Jankowski, Andrzej Lozowski, 1996, IEEE Trans. Neural Networks.

Artificial Intelligence and Soft Computing - ICAISC 2008, 9th International Conference, Zakopane, Poland, June 22-26, 2008, Proceedings

Jacek M. Zurada, Ryszard Tadeusiewicz, Leszek Rutkowski, 2008, ICAISC.

Logistic GMDH-type neural networks and their application to the identification of the X-ray film characteristic curve

Jacek M. Zurada, Tadashi Kondo, A. S. Pandya, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Applications of neural networks for aerospace-related technologies

Jacek M. Zurada, 1996, 1996 IEEE Aerospace Applications Conference. Proceedings.

Modified Hebbian learning rule for single layer learning

Jacek M. Zurada, Aleksander Malinowski, P. Przestrzelski, 1993, 1993 IEEE International Symposium on Circuits and Systems.

Identification of Human Factors in Aviation Incidents Using a Data Stream Approach

Jacek M. Zurada, Jian Guan, Donghui Shi, 2017, HICSS.

Optimal Scheduling of Anticipated COVID-19 Vaccination: A Case Study of New York State

Jacek M. Zurada, Tamer Inanc, Syed Irfan Ali Meerza, 2020 .

An adaptive neuro-fuzzy inference system for predicting the risks of low back disorders due to manual material lifting jobs

Jacek M. Zurada, Jian Guan, Donghui Shi, 2013, Expert Syst. Appl..

Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm

Jacek M. Zurada, Jaroslaw Bilski, Bartosz Kowalczyk, 2017, ICAISC.

Future Challenges in Soft Computing: Theory? Computational Paradigms? Applications?

Jacek M. Zurada, 2002, FSKD.

Deterministic convergence of conjugate gradient method for feedforward neural networks

Jacek M. Zurada, Wei Wu, Jian Wang, 2011, Neurocomputing.

Performance Assessment of Data Mining Methods for Loan Granting Decisions: A Preliminary Study

Jacek M. Zurada, K. Niki Kunene, 2010, ICAISC.

Obtaining Full Regularization Paths for Robust Sparse Coding with Applications to Face Recognition

Jacek M. Zurada, Jan Chorowski, J. Chorowski, 2012, 2012 11th International Conference on Machine Learning and Applications.

Pseudopassive neural networks

Jacek M. Zurada, W. Sienko, 1991, 1991., IEEE International Sympoisum on Circuits and Systems.

Artificial Intelligence and Soft Computing

Jacek M. Zurada, Marcin Korytkowski, Rafał Scherer, 2017, Lecture Notes in Computer Science.

Artificial intelligence and soft computing : 17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, proceedings, part II

Jacek M. Zurada, Marcin Korytkowski, Rafał Scherer, 2018 .

A dynamical system perspective of structural learning with forgetting

Jacek M. Zurada, Damon A. Miller, J. Zurada, 1998, IEEE Trans. Neural Networks.

Design centering in GaAs IC manufacturing

Jacek M. Zurada, Aleksander Malinowski, A. Lozowski, 1997, 1997 IEEE Aerospace Conference.

A Competitive Layer Model for Cellular Neural Networks

Jacek M. Zurada, Wei Zhou, J. Zurada, 2012, Neural Networks.

A class of discrete-time recurrent neural networks with multivalued neurons

Jacek M. Zurada, Wei Zhou, 2009, 2009 International Joint Conference on Neural Networks.

Searching and Reasoning with Distributed Resources in Computational Intelligence and Machine

Jacek M. Zurada, Janusz Wojtusiak, Jaroslaw Pietrzykowski, 2009 .

Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints

Jacek M. Zurada, Olfa Nasraoui, Ehsan Hosseini-Asl, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Blind Signal Separation and Extraction: Recent Trends, Future Perspectives, and Applications

Jacek M. Zurada, Andrzej Cichocki, A. Cichocki, 2004, ICAISC.

RBF-based neurodynamic nearest neighbor classification in real pattern space

Jacek M. Zurada, Mehmet Kerem Müezzinoglu, J. Zurada, 2006, Pattern Recognit..

Neural Networks Modeling for Yield Enhancement in Semiconductor Manufacturing

Jacek M. Zurada, 1993 .

Programmable State-Variable Active Biquads

Jacek M. Zurada, J. Zurada, 1981 .

Minimal training set size estimation for neural network-based function approximation

Jacek M. Zurada, Aleksander Malinowski, Peter B. Aronhime, 1994, Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94.

Realization of current-mode complex pole all-pass networks using a single current conveyor

Jacek M. Zurada, Peter Aronhime, D. Nelson, 1990, IEEE International Symposium on Circuits and Systems.

Fully Coupled and Feedforward Neural Networks with Complex-Valued Neurons

Jacek M. Zurada, Igor N. Aizenberg, 2007, IDC.

Collaborative Web-based Workspaces for an Academic Department

Jacek M. Zurada, Piotr A. Habas, M K Muezzinoglu, 2009 .

Big Data-driven Value Creation for Organizations

Jacek M. Zurada, Celina Olszak, J. Zurada, 2019, HICSS.

Computational intelligence virtual community: Framework and implementation issues

Jacek M. Zurada, Maciej A. Mazurowski, Janusz Wojtusiak, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Automatic segmentation of pathological lung using incremental nonnegative matrix factorization

Jacek M. Zurada, Ayman El-Baz, Ehsan Hosseini-Asl, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Classification and estimation of ultrasound speckle noise with neural networks

Jacek M. Zurada, Adel Said Elmaghraby, Mark P. Wachowiak, 2000, Proceedings IEEE International Symposium on Bio-Informatics and Biomedical Engineering.

Neural network modeling of GaAs IC material and MESFET device characteristics

Jacek M. Zurada, G. L. Creech, J. Zurada, 1999 .

Individualized model discovery: The case of anemia patients

Jacek M. Zurada, Tamer Inanc, Adam E. Gaweda, 2015, Comput. Methods Programs Biomed..

Discrete-Time Recurrent Neural Networks for Medical Image Segmentation Based on Competitive Layer Model with LT Neurons

Jacek M. Zurada, Wei Zhou, J. Zurada, 2010, 2010 International Conference on Biomedical Engineering and Computer Science.

Hybridization of Blind Source Separation and Rough Sets for Proteomic Biomarker Indentification

Jacek M. Zurada, Mariofanna G. Milanova, Grzegorz M. Boratyn, 2004, ICAISC.

Computational Intelligence: Research Frontiers, IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, Plenary/Invited Lectures

Jacek M. Zurada, Jun Wang, Gary G. Yen, 2008, WCCI.

Systolic Architectures for Soft Computing Algorithms

Jacek M. Zurada, Jaroslaw Bilski, Jacek Smolag, 2003, PPAM.

Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN)

Jacek M. Zurada, Igor N. Aizenberg, 2007, ICANN.

An approach to multimodal biomedical image registration utilizing particle swarm optimization

Jacek M. Zurada, Yufeng Zheng, Adel Said Elmaghraby, 2004, IEEE Transactions on Evolutionary Computation.

Capabilities and limitations of feedforward neural networks with multilevel neurons

Jacek M. Zurada, Tomasz J. Cholewo, Aleksander Malinowski, 1995, Proceedings of ISCAS'95 - International Symposium on Circuits and Systems.

Artificial Intelligence and Soft Computing ICAISC 2006: 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings (Lecture Notes in Computer Science)

Jacek M. Zurada, Ryszard Tadeusiewicz, Leszek Rutkowski, 2006 .

Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning

Jacek M. Zurada, Ehsan Hosseini-Asl, Babajide O. Ayinde, 2016, ICAISC.

Extracting decision rules in prediction of protein secondary structure

Jacek M. Zurada, Jagath C. Rajapakse, Minh Ngoc Nguyen, 2008, 2008 8th IEEE International Conference on BioInformatics and BioEngineering.

Efficient Learning of Timeseries Shapelets

Jacek M. Zurada, James T. Kwok, Lu Hou, 2016, AAAI.

Review and performance comparison of SVM- and ELM-based classifiers

Jacek M. Zurada, Jian Wang, Jan Chorowski, 2014, Neurocomputing.

From Chaos to Organization: Neurodynamics of 2D Active Medium

Jacek M. Zurada, J. Zurada, 1998, International Conference on Neural Information Processing.

Swarm and Evolutionary Computation

Jacek M. Zurada, Marcin Korytkowski, Rafał Scherer, 2012, Lecture Notes in Computer Science.

Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks

Jacek M. Zurada, Wei Wu, Yan Liu, 2014, Neural Networks.

Automated tuning of an electronic circuit board using the artificial neural network approach

Waldemar Karwowski, Gavriel Salvendy, Jacek M. Zurada, 1996, J. Intell. Manuf..

A Novel Pruning Algorithm for Smoothing Feedforward Neural Networks Based on Group Lasso Method

Jacek M. Zurada, Jian Wang, Chen Xu, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Artificial Intelligence and Soft Computing, 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part I

Jacek M. Zurada, Rafał Scherer, Ryszard Tadeusiewicz, 2010, International Conference on Artificial Intelligence and Soft Computing.

Extraction of linguistic rules from data via neural networks and fuzzy approximation

Jacek M. Zurada, A. Lozowski, J. Zurada, 2000 .

Dynamics of structural learning with an adaptive forgetting rate

Jacek M. Zurada, D. A. Miller, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Signal Processing with temporal sequences in olfactory systems

Jacek M. Zurada, Andrzej Lozowski, Mykola Lysetskiy, 2004, IEEE Transactions on Neural Networks.

Inverse mapping of continuous functions using feedforward neural networks

Jacek M. Zurada, H. M. Deif, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

A Class of Single-Class Minimax Probability Machines for Novelty Detection

Jacek M. Zurada, Ivor W. Tsang, James T. Kwok, 2007, IEEE Transactions on Neural Networks.

Generalized Core Vector Machines

Jacek M. Zurada, Ivor W. Tsang, James T. Kwok, 2006, IEEE Transactions on Neural Networks.

Incorporating prior knowledge into Q-learning for drug delivery individualization

Jacek M. Zurada, Adam E. Gaweda, Mehmet Kerem Müezzinoglu, 2005, Fourth International Conference on Machine Learning and Applications (ICMLA'05).

Time Series Prediction using Rough Sets and Neural Networks Hybrid Approach

Jacek M. Zurada, Tomasz G. Smolinski, Darrel L. Chenoweth, 2003, Neural Networks and Computational Intelligence.

Nonnegative Matrix Factorization for Document Clustering: A Survey

Jacek M. Zurada, Ehsan Hosseini-Asl, J. Zurada, 2014, ICAISC.

Introduction to the Minitrack on Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations

Jacek M. Zurada, Sandeep Goyal, Celina Olszak, 2019, HICSS.

New stability condition for discrete-time fully coupled neural networks with multivalued neurons

Jacek M. Zurada, Wei Zhou, 2015, Neurocomputing.

A Fuzzy Neural Approach to Classifying Low Back Disorders Risks

Jacek M. Zurada, Jian Guan, Donghui Shi, 2013, 2013 46th Hawaii International Conference on System Sciences.

Deep Learning of Constrained Autoencoders for Enhanced Understanding of Data

Jacek M. Zurada, Babajide O. Ayinde, J. Zurada, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Case-Specific Reliability Assessment for Improved False Positive Reduction with an Information-Theoretic CAD System

Jacek M. Zurada, Georgia D. Tourassi, Piotr A. Habas, 2008, Digital Mammography / IWDM.

Top-Down Induction of Reduced Ordered Decision Diagrams from Neural Networks

Jacek M. Zurada, Jan Chorowski, J. Chorowski, 2011, ICANN.

Motivation for a genetically-trained topography-preserving map

Jacek M. Zurada, James S. Kirk, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Bi-directional computing architecture for time series prediction

Jacek M. Zurada, Hiroshi Wakuya, J. Zurada, 2001, Neural Networks.

Fuzzy neural network with relational fuzzy rules

Jacek M. Zurada, Adam E. Gaweda, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Extracting Rules From Neural Networks as Decision Diagrams

Jacek M. Zurada, Jan Chorowski, J. Chorowski, 2011, IEEE Transactions on Neural Networks.

Artificial Intelligence and Soft Computing

Jacek M. Zurada, Ryszard Tadeusiewicz, Leszek Rutkowski, 2016, Lecture Notes in Computer Science.

Computational Intelligence: Imitating Life

Jacek M. Zurada, Robert J. Marks, Charles J. Robinson, 1994 .

Unknown Input-Based Observer Synthesis for a Polynomial T–S Fuzzy Model System With Uncertainties

Jacek M. Zurada, Wen-June Wang, Van-Phong Vu, 2018, IEEE Transactions on Fuzzy Systems.

3-D Lung Segmentation by Incremental Constrained Nonnegative Matrix Factorization

Jacek M. Zurada, Georgy L. Gimel'farb, Ayman El-Baz, 2016, IEEE Transactions on Biomedical Engineering.

Modeling the bursting behavior of the Hodgkin-Huxley neurons using genetic algorithm based parameter search

Jacek M. Zurada, John Naber, Douglas Jackson, 2018, 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis

Jacek M. Zurada, Georgia D. Tourassi, Maciej A. Mazurowski, 2007, 2007 International Joint Conference on Neural Networks.

Algorithms to improve topography preservation in self-organizing maps

Jacek M. Zurada, James S. Kirk, 2003 .

Prediction of dynamic forces on lumbar joint using a recurrent neural network model

Waldemar Karwowski, Jacek M. Zurada, Yanfeng Jou, 2004, 2004 International Conference on Machine Learning and Applications, 2004. Proceedings..

White box nonlinear prediction models, editorial special issue

Jacek M. Zurada, Bart Baesens, Rudy Setiono, 2011 .

Chaotic Cellular Neural Networks with Negative Self-feedback

Jacek M. Zurada, Wen Liu, Lipo Wang, 2006, ICAISC.

Cellular Neural Networks With Transient Chaos

Jacek M. Zurada, Wen Liu, Lipo Wang, 2007, IEEE Transactions on Circuits and Systems II: Express Briefs.

Database decomposition of a knowledge-based CAD system in mammography: an ensemble approach to improve detection

Jacek M. Zurada, Georgia D. Tourassi, Maciej A. Mazurowski, 2008, SPIE Medical Imaging.

Convergence of online gradient method for feedforward neural networks with smoothing L1/2 regularization penalty

Jacek M. Zurada, Wei Wu, Qin-wei Fan, 2014, Neurocomputing.

Identification of Key Variables Using Fuzzy Average With Fuzzy Cluster Distribution

Waldemar Karwowski, Jacek M. Zurada, Kermit G. Davis, 2007, IEEE Transactions on Fuzzy Systems.

Introduction to Streaming Data Analytics and Applications Minitrack

Jacek M. Zurada, Mehmed M. Kantardzic, 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

Artificial Intelligence and Soft Computing

Jacek M. Zurada, Marcin Korytkowski, Rafal Scherer, 2015, Lecture Notes in Computer Science.

Parameter estimation of generalized backscatter models using entropy maximization

Jacek M. Zurada, Mark P. Wachowiak, Renata Smolikova, 2003, SPIE Medical Imaging.

Normalized Mutual Information Feature Selection

Jacek M. Zurada, Claudio A. Perez, Pablo A. Estévez, 2009, IEEE Transactions on Neural Networks.

Local Levenberg-Marquardt Algorithm for Learning Feedforwad Neural Networks

Jacek M. Zurada, Alina Marchlewska, Bartosz Kowalczyk, 2020, J. Artif. Intell. Soft Comput. Res..

Analyzing Massive Data Sets: An Adaptive Fuzzy Neural Approach for Prediction, with a Real Estate Illustration

Jacek M. Zurada, Jian Guan, Donghui Shi, 2014, J. Organ. Comput. Electron. Commer..

HieNet architecture using the K-Iterations Fast Learning artificial Neural Networks

Jacek M. Zurada, L. P. Tay, Lai-Ping Wong, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

An energy function-based design method for discrete hopfield associative memory with attractive fixed points

Jacek M. Zurada, Mehmet Kerem Müezzinoglu, Cüneyt Güzelis, 2005, IEEE Transactions on Neural Networks.

Guest Editorial White Box Nonlinear Prediction Models

Jacek M. Zurada, Bart Baesens, Rudy Setiono, 2011, IEEE Transactions on Neural Networks.

Redundant feature pruning for accelerated inference in deep neural networks

Jacek M. Zurada, Tamer Inanc, Babajide O. Ayinde, 2019, Neural Networks.

Convergence analyses on sparse feedforward neural networks via group lasso regularization

Jacek M. Zurada, Jian Wang, Qingquan Chang, 2017, Inf. Sci..

Data Stream Models for Predicting Adverse Events in a War Theater

Waldemar Karwowski, Jacek M. Zurada, Jian Guan, 2019, HICSS.

Convergence Analysis of Continuous-Time Neural Networks

Ho-Chan Kim, Jacek M. Zurada, Farrukh Aslam Khan, 2006, ISNN.

Bifurcating neuron: computation and learning

Jacek M. Zurada, Mykola Lysetskiy, J. Zurada, 2004, Neural Networks.

A Conjugate Gradient-Based Efficient Algorithm for Training Single-Hidden-Layer Neural Networks

Jacek M. Zurada, Yanjiang Wang, Jian Wang, 2016, ICONIP.

On the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise

Jacek M. Zurada, Piotr Duda, J. Zurada, 2011, PPAM.

Applications of fuzzy-based linguistic patterns for the assessment of computer screen design quality

Waldemar Karwowski, Jacek M. Zurada, Jerzy Grobelny, 1995, Int. J. Hum. Comput. Interact..

Dynamic noise margins of MOS logic gates

Jacek M. Zurada, Y. S. Joo, S. V. Bell, 1989, IEEE International Symposium on Circuits and Systems,.

A class of discrete-time recurrent neural networks with multivalued neurons

Jacek M. Zurada, Wei Zhou, 2009, IJCNN.

Particle swarm optimization of neural network CAD systems with clinically relevant objectives

Jacek M. Zurada, Georgia D. Tourassi, Adel Said Elmaghraby, 2007, SPIE Medical Imaging.

Generalized Hopfield networks for associative memories with multi-valued stable states

Jacek M. Zurada, Ian Cloete, Etienne van der Poel, 1996, Neurocomputing.

Multiplicative Algorithm for Correntropy-Based Nonnegative Matrix Factorization

Jacek M. Zurada, Ehsan Hosseini-Asl, J. Zurada, 2013 .

A New Algorithm with a Line Search for Feedforward Neural Networks Training

Jacek M. Zurada, Jaroslaw Bilski, Bartosz Kowalczyk, 2020, ICAISC.

A comparative study of database reduction methods for case-based computer-aided detection systems: preliminary results

Jordan M. Malof, Jacek M. Zurada, Georgia D. Tourassi, 2009, Medical Imaging.

Could Decision Trees Improve the Classification Accuracy and Interpretability of Loan Granting Decisions?

Jacek M. Zurada, J. Zurada, 2010, 2010 43rd Hawaii International Conference on System Sciences.

On Performance Measures of Artificial Neural Networks Trained by Structural Learning with Forgetting

Jacek M. Zurada, Masaharu Kitamura, Robert Kozma, 1995 .

Computational circuits using the neural optimization concept

Jacek M. Zurada, Min J. Kang, 1989 .

Differences in Input Space Stability Between Using the Inverted Output of Amplifier and Negative Conductance for Inhibitory Synapse

Ho-Chan Kim, Jacek M. Zurada, Min-Jae Kang, 2007, ISNN.

Automatic Scaling using Gamma Learning for Feedforward Neural Networks

Andries Petrus Engelbrecht, Jacek M. Zurada, Jaco Geldenhuys, 1995, IWANN.

Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images

Jacek M. Zurada, Yasser M. Kadah, Amal A. Farag, 1996, IEEE Trans. Medical Imaging.

The Hierarchical Fast Learning Artificial Neural Network (HieFLANN)—An Autonomous Platform for Hierarchical Neural Network Construction

Jacek M. Zurada, Alex Leng Phuan Tay, Jian Xu, 2007, IEEE Transactions on Neural Networks.

Multivalued neural associative memory

Jacek M. Zurada, Stanislaw Jankowski, Andrzej Lozowski, 1995, Proceedings of ISCAS'95 - International Symposium on Circuits and Systems.

Perturbation method for deleting redundant inputs of perceptron networks

Jacek M. Zurada, Shiro Usui, Aleksander Malinowski, 1997, Neurocomputing.

Knowledge Discovery Through Experiential Learning From Business and Other Contemporary Data Sources: A Review and Reappraisal

Waldemar Karwowski, Jacek M. Zurada, J. Zurada, 2011, Inf. Syst. Manag..

A Neural Network Controller for Optimal Temperature Control of Household Refrigerators

Jacek M. Zurada, Kenton Graviss, 1998, Intell. Autom. Soft Comput..

Experience-Consistent Modeling for Radial Basis Function Neural Networks

Witold Pedrycz, Jacek M. Zurada, Partab Rai, 2008, Int. J. Neural Syst..

Adaptive Prediction of Patient Response to Erythropoietin using Neural Network Ensemble

Jacek M. Zurada, Adam E. Gaweda, Mehmet Kerem Müezzinoglu, 2007, 2007 International Joint Conference on Neural Networks.

Editorial

Jacek M. Zurada, D. Jude Hemanth, Hemant Kasturiwale, 2020, International Journal of Intelligent Decision Technologies.

Data-driven linguistic modeling using relational fuzzy rules

Jacek M. Zurada, Adam E. Gaweda, J. Zurada, 2003, IEEE Trans. Fuzzy Syst..

Toward perceptually driven image retrieval in mammography: a pilot observer study to assess visual similarity of masses

Jacek M. Zurada, Georgia D. Tourassi, Maciej A. Mazurowski, 2008, SPIE Medical Imaging.

Determining the Significance of Input Parameters using Sensitivity Analysis

Andries Petrus Engelbrecht, Jacek M. Zurada, Ian Cloete, 1995, IWANN.

Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II

Jacek M. Zurada, Marcin Korytkowski, Rafał Scherer, 2014 .

Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers

Jacek M. Zurada, Gary G. Yen, Jun Wang, 2008 .

Boundedness and convergence analysis of weight elimination for cyclic training of neural networks

Jacek M. Zurada, Jian Wang, Weifeng Gao, 2016, Neural Networks.

Editorial - year 2002: submission options streamlined

Jacek M. Zurada, 2002, IEEE Trans. Neural Networks.

Structured Sparse Convolutional Autoencoder pdf

Jacek M. Zurada, Ehsan Hosseini-Asl, J. Zurada, 2016, ArXiv.

Data-driven design of fuzzy system with relational input partition

Jacek M. Zurada, Adam E. Gaweda, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Neural Network Models for Yield Enhancement in Semiconductor Manufacturing and Neural Networks for Inverse Parameter Modeling of IC Fabrications Stages.

Jacek M. Zurada, Aleksander Malinowski, A. Lozowski, 1997 .

Reduced perceptron networks and inverse modeling control

Jacek M. Zurada, Aleksander Malinowski, J. Zurada, 1996 .

Scoring-Based Analysis of Protein Patterns for Identification of Myeloma Cancer

Jacek M. Zurada, Mariofanna G. Milanova, Grzegorz M. Boratyn, 2003, International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes.

An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems

Jacek M. Zurada, Liang Feng, Yew-Soon Ong, 2017, IEEE Transactions on Evolutionary Computation.

Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks

Jacek M. Zurada, Jaroslaw Bilski, Jacek Smolag, 2015, ICAISC.

Correntropy-Based Document Clustering via Nonnegative Matrix Factorization

Jacek M. Zurada, Jan Chorowski, Tolga Ensari, 2012, ICANN.

End effector target position learning using feedforward with error back-propagation and recurrent neural networks

Jacek M. Zurada, J. Zurada, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Exact Hessian calculation in feedforward FIR neural networks

Jacek M. Zurada, Tomasz J. Cholewo, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Individualization of pharmacological anemia management using reinforcement learning

Jacek M. Zurada, Adam E. Gaweda, Mehmet Kerem Müezzinoglu, 2005, Neural Networks.

Towards Better Understanding of Data: Learning Latent Features Under Constraints

Jacek M. Zurada, J. Zurada, 2015 .

A Hybrid Neuro-fuzzy Approach for Spinal Force Evaluation in Manual Materials Handling Tasks

Waldemar Karwowski, Jacek M. Zurada, William S. Marras, 2005, ICNC.

Infant Brain Extraction in T1-Weighted MR Images Using BET and Refinement Using LCDG and MGRF Models

Jacek M. Zurada, Amir Alansary, Ayman El-Baz, 2016, IEEE Journal of Biomedical and Health Informatics.

A self-organizing map with dynamic architecture for efficient color quantization

Jacek M. Zurada, J. S. Kirk, Dar-Jen Chang, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Efficient data-driven modeling with fuzzy relational rule network

Jacek M. Zurada, Peter Aronhime, Adam E. Gaweda, 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

Discrete-Time Recurrent Neural Networks With Complex-Valued Linear Threshold Neurons

Jacek M. Zurada, Wei Zhou, 2009, IEEE Trans. Circuits Syst. II Express Briefs.

Sparse Representation Learning of Data by Autoencoders with L_1/2 Regularization

Jacek M. Zurada, Feng Li, Wei Wu, 2018 .

Toward Better Understanding of Protein Secondary Structure: Extracting Prediction Rules

Jacek M. Zurada, Jagath C. Rajapakse, Minh Ngoc Nguyen, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Weak Convergence of the Recursive Parzen-Type Probabilistic Neural Network in a Non-stationary Environment

Jacek M. Zurada, Lena Pietruczuk, J. Zurada, 2011, PPAM.

Clustering of receptive fields in Autoencoders

Jacek M. Zurada, Babajide O. Ayinde, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks

Jacek M. Zurada, Wei Wu, Jian Wang, 2012, ISNN.

Introduction to the special issue on neural networks for data mining and knowledge discovery

Joachim M. Buhmann, Jacek M. Zurada, Yoshua Bengio, 2000 .

Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing

Jacek M. Zurada, Lotfi A. Zadeh, Leszek Rutkowski, 2006 .

A Bayesian Network Approach to Classifying Bad Debt in Hospitals

Jacek M. Zurada, Jian Guan, Donghui Shi, 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

Automated Computational Intelligence and Machine Learning Advising in Healthcare

Jacek M. Zurada, Janusz Wojtusiak, 2009 .

Stability condition for discrete time multi-valued recurrent neural networks in asynchronous update mode

Jacek M. Zurada, Wei Zhou, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Occluded Face Recognition Using Correntropy-Based Nonnegative Matrix Factorization

Jacek M. Zurada, Jan Chorowski, Tolga Ensari, 2012, 2012 11th International Conference on Machine Learning and Applications.

A Data-Mining Approach to Identification of Risk Factors in Safety Management Systems

Jacek M. Zurada, Jian Guan, Donghui Shi, 2017, J. Manag. Inf. Syst..

Sampling rate for information encoding using multilayer neural networks

Jacek M. Zurada, Aleksander Malinowski, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

Reliability Assessment of Ensemble Classifiers: Application in Mammography

Jacek M. Zurada, Georgia D. Tourassi, Maciej A. Mazurowski, 2008, Digital Mammography / IWDM.

Industry 4.0: A Special Section in IEEE Access

Jacek M. Zurada, Meng Joo Er, Imre J. Rudas, 2017, IEEE Access.

Efficiency and Scalability Methods for Computational Intellect

Jacek M. Zurada, Boris Igelnik, J. Zurada, 2013 .

Input selection in data-driven fuzzy modeling

Jacek M. Zurada, Rudy Setiono, Adam E. Gaweda, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Diversity Regularized Adversarial Deep Learning

Jacek M. Zurada, Babajide O. Ayinde, Keishin Nishihama, 2019, AIAI.

A novel technique for assessing the case-specific reliability of decisions made by CAD tools

Jacek M. Zurada, Georgia D. Tourassi, Adel Said Elmaghraby, 2005, SPIE Medical Imaging.

Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance

Jacek M. Zurada, Joseph Y. Lo, Georgia D. Tourassi, 2008, Neural Networks.

Data Mining Techniques in Predicting Default Rates on Customer Loans

Jacek M. Zurada, J. Zurada, 2002, BalticDB&IS.

Temporal-to-spatial dynamic mapping, flexible recognition, and temporal correlations in an olfactory cortex model

Jacek M. Zurada, Andrzej Lozowski, Mykola Lysetskiy, 2002, Biological Cybernetics.

A two-stage algorithm for improved topography preservation in self-organizing maps

Jacek M. Zurada, James S. Kirk, 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

Invariant Recognition of Spatio-Temporal Patterns in The Olfactory System Model

Jacek M. Zurada, Andrzej Lozowski, Mykola Lysetskiy, 2004, Neural Processing Letters.

Artificial Intelligence and Soft Computing

Witold Pedrycz, Jacek M. Zurada, Marcin Korytkowski, 2018, Lecture Notes in Computer Science.

Inverse mapping with neural network for control of nonlinear systems

Jacek M. Zurada, Peter Aronhime, Tomasz J. Cholewo, 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.

Building Efficient ConvNets using Redundant Feature Pruning pdf

Jacek M. Zurada, Babajide O. Ayinde, J. Zurada, 2018, ArXiv.

Layer interactions in a multivalued neural associative memory

Jacek M. Zurada, Stanislaw Jankowski, A. Lozowski, 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.

Convergence Analysis of Multilayer Feedforward Networks Trained with Penalty Terms: A Review

Jacek M. Zurada, Jian Wang, Shan Liu, 2015 .

Approximate dynamic programming for anemia management

Jacek M. Zurada, M. K. Muezzinoglu, J. Zurada, 2006 .

Artificial Intelligence and Soft Computing: 14th International Conference, ICAISC 2015, Zakopane, Poland, June 14-28, 2015, Proceedings, Part II

Jacek M. Zurada, Marcin Korytkowski, Rafał Scherer, 2015 .

Neural Networks And Hybrid Intelligent Models: Foundations, Theory, And Applications

Jacek M. Zurada, C. Lee Giles, R. Sun, 1998, IEEE Trans. Neural Networks.

Temporal binding, segmentation and attention focusing in the olfactory model

Jacek M. Zurada, M. Lysetskiy, M. Lysetskiy, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Exact Gradient Calculation in Gamma Neural Networks

Jacek M. Zurada, Andrzej Cichocki, Tomasz J. Cholewo, 1997 .

Dynamic complexity reduction of multilayer feedforward neural networks

Jacek M. Zurada, D. A. Miller, J. Zurada, 1997 .

Evolutionary Optimization of Number of Gates in PLA Circuits Implemented in VLSI Circuits

Jacek M. Zurada, Adam Slowik, 2009, EvoWorkshops.

Adaptive neural network control of uncertain nonlinear systems with nonsmooth actuator nonlinearities

Jacek M. Zurada, Jing Zhou, Meng Joo Er, 2007, Neurocomputing.

Solving decentralized multi-agent control problems with genetic algorithms

Jacek M. Zurada, Maciej A. Mazurowski, J. Zurada, 2007, 2007 IEEE Congress on Evolutionary Computation.

Artifical Intelligence and Soft Computing, 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part II

Jacek M. Zurada, Rafał Scherer, Ryszard Tadeusiewicz, 2010, ICAISC.

Therapeutic drug dosing prediction using adaptive models and artificial neural networks

Jacek M. Zurada, Michael E. Brier, Peter Lada, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Inverse control of nonlinear systems using neural network observer and inverse mapping approach

Jacek M. Zurada, J. H. Lilly, Aleksander Malinowski, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

International Journal of Applied Computer Science Methods: Authors’ Instructions for the Preparation of the Submission Format of the Final Version of the Manuscript

Jacek M. Zurada, K. Przybyszewski, A. Cader, 2009 .

Bayesian approach to analysis of protein patterns for identification of myeloma cancer

Jacek M. Zurada, Mariofanna Milanova, Grzegorz M. Boratyn, 2003, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).

Neural networks with dynamic synapses for time-series prediction

Jacek M. Zurada, Tomasz J. Cholewo, 1998 .

Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty

Jacek M. Zurada, Wei Wu, Jian Wang, 2011, The 2011 International Joint Conference on Neural Networks.

Estimation of the Dynamic Spinal Forces Using a Recurrent Fuzzy Neural Network

Waldemar Karwowski, Jacek M. Zurada, Kermit G. Davis, 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Extraction of rules from artificial neural networks for nonlinear regression

Jacek M. Zurada, Wee Kheng Leow, Rudy Setiono, 2002, IEEE Trans. Neural Networks.

Evolutionary Algorithms and Rough Sets-Based Hybrid Approach to Classificatory Decomposition of Cortical Evoked Potentials

Jacek M. Zurada, Andrzej Wróbel, Mariofanna G. Milanova, 2002, Rough Sets and Current Trends in Computing.

Neural Networks with Complex-Valued Neurons for Recurrent and Feedforward Architectures

Jacek M. Zurada, 2007, ICMLA 2007.

Stationary points of single-layer feedback neural networks

Jacek M. Zurada, M. J. Kang, 1992, [Proceedings] 1992 IEEE International Symposium on Circuits and Systems.

Dynamic and static numerical modeling of actual gradient-type neural networks

Jacek M. Zurada, M. J. Kang, 1991, 1991., IEEE International Sympoisum on Circuits and Systems.

A Flexible Computer System for Ergonomic Diagnosis

Jacek M. Zurada, Ewa Gorska, J. Zurada, 1997, Interacción.

A fuzzy relational rule network modeling of electromyographical activity of trunk muscles in manual lifting based on trunk angels, moments, pelvic tilt and rotation angles

Waldemar Karwowski, Jacek M. Zurada, Kermit G. Davis, 2006 .

The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization

Jacek M. Zurada, Wei Wu, Junhong Zhao, 2018, Neural Networks.

Artificial Intelligence and Soft Computing

Jacek M. Zurada, Marcin Korytkowski, Rafał Scherer, 2014, Lecture Notes in Computer Science.

Neural network tools for stellar light prediction

Jacek M. Zurada, Tomasz J. Cholewo, T. J. Cholewo, 1997, 1997 IEEE Aerospace Conference.

Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II

Jacek M. Zurada, Rafał Scherer, Leszek Rutkowski, 2010 .

Sufficient condition for convergence of a relaxation algorithm in actual single-layer neural networks

Jacek M. Zurada, Weigong Shen, 1990, IEEE Trans. Neural Networks.

Diversity Regularized Adversarial Learning pdf

Jacek M. Zurada, Babajide O. Ayinde, Keishin Nishihama, 2019, ArXiv.

Issues in the synthesis of voltage-, current-, and voltage-current-mode circuits

Brent Maundy, Jacek M. Zurada, Peter Aronhime, 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.

Comparisons of the Performance of Computational Intelligence Methods for Loan Granting Decisions

Jacek M. Zurada, K. Niki Kunene, J. Zurada, 2011, 2011 44th Hawaii International Conference on System Sciences.

Time series prediction by a neural network model based on the bi-directional computation style

Jacek M. Zurada, Hiroshi Wakuya, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Deterministic convergence analysis via smoothing group Lasso regularization and adaptive momentum for Sigma-Pi-Sigma neural network

Jacek M. Zurada, Qinwei Fan, Qian Kang, 2021, Inf. Sci..

Shape Analysis of the Human Brain: A Brief Survey

Jacek M. Zurada, Ayman El-Baz, Georgy L. Gimel'farb, 2014, IEEE Journal of Biomedical and Health Informatics.

Individualized drug dosing using RBF-Galerkin method: Case of anemia management in chronic kidney disease

Jacek M. Zurada, Tamer Inanc, Adam E. Gaweda, 2017, Comput. Methods Programs Biomed..

Guest Editorial

Jacek M. Zurada, Kiril Tenekedjiev, 2010, Int. J. Gen. Syst..

Steepest descent retrieval algorithm for autoassociative neural memory

Jacek M. Zurada, Bogdan M. Wilamowski, Aleksander Malinowski, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Input Layer Regularization of Multilayer Feedforward Neural Networks

Jacek M. Zurada, Feng Li, Yan Liu, 2017, IEEE Access.

Current-mode network transformations

Jacek M. Zurada, Peter B. Aronhime, Mehul Desai, 1994, Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94.

Confidence-based stratification of CAD recommendations with application to breast cancer detection

Jacek M. Zurada, Georgia D. Tourassi, Adel Said Elmaghraby, 2006, SPIE Medical Imaging.

On performance measures of artificial neural networks trained by structural learning algorithms

Jacek M. Zurada, Masaharu Kitamura, Robert Kozma, 1995, Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems.

Dynamics of error backpropagation learning with pruning in the weight space

Jacek M. Zurada, D. A. Miller, A. Lozowski, 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.

Editorial IEEE Transactions on Neural Networks: Editorial Report and Passing the Baton Jacek M. Zurada (left) and Marios M. Polycarpou

Jacek M. Zurada, Marios M. Polycarpou, M. Polycarpou, 2004, IEEE Trans. Neural Networks.

Workflow considerations in the emerging CI-ML virtual organization

Jacek M. Zurada, Maciej A. Mazurowski, Janusz Wojtusiak, 2008 .

Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I

Jacek M. Zurada, Zhang Yi, Hujun Yin, 2006, International Symposium on Neural Networks.

Reduction of neural network models for identification and control of nonlinear systems

Jacek M. Zurada, Aleksander Malinowski, D. A. Miller, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Identification of Full and Partial Class Relevant Genes

Jacek M. Zurada, Zexuan Zhu, Yew-Soon Ong, 2010, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A Neuro-fuzzy Approach to Bad Debt Recovery in Healthcare

Jacek M. Zurada, Jian Guan, Donghui Shi, 2014, 2014 47th Hawaii International Conference on System Sciences.

A Survey on Artificial Intelligence-Based Modeling Techniques for High Speed Milling Processes

Xiang Li, Jacek M. Zurada, Meng Joo Er, 2015, IEEE Systems Journal.

Topography-Enhanced BMU Search in Self-Organizing Maps

Jacek M. Zurada, James S. Kirk, 2004, ISNN.

Application of the Givens Rotations in the Neural Network Learning Algorithm

Jacek M. Zurada, Jaroslaw Bilski, Bartosz Kowalczyk, 2016, ICAISC.

Discovery Through Constraints: Imposing Constraints on Autoencoders for Data Representation and Dictionary Learning

Jacek M. Zurada, Babajide O. Ayinde, J. Zurada, 2017, IEEE Systems, Man, and Cybernetics Magazine.

Computational intelligence methods for rule-based data understanding

Jacek M. Zurada, Wlodzislaw Duch, Rudy Setiono, 2004, Proceedings of the IEEE.

Introduction to artificial neural systems

Jacek M. Zurada, J. Zurada, 1992 .

Adaptive Individualized Modeling From Limited Clinical Data for Precise Anemia Management

Jacek M. Zurada, Tamer Inanc, Affan Affan, 2021, IEEE Access.

Business Intelligence & Big Data for Innovative and Sustainable Development of Organizations

Jacek M. Zurada, Dilek Cetindamar, Celina Olszak, 2021, Inf. Syst. Manag..

Radial Basis Function Interpolation and Galerkin Projection for Direct Trajectory Optimization and Costate Estimation

Jacek M. Zurada, Tamer Inanc, Hossein Mirinejad, 2021, IEEE/CAA Journal of Automatica Sinica.

Minimal Training Set Size Estimation For Sampled-Data Function Encoding

Jacek M. Zurada, Aleksander Malinowski, 2021 .

Toward VO-based Collaboration between Computational Intelligence-Machine Learning and Healthcare Communities

Jordan M. Malof, Jacek M. Zurada, Janusz Wojtusiak, 2009 .

Equivalence between neural networks and fuzzy systems

Jacek M. Zurada, Adam E. Gaweda, J. Zurada, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

A new stability condition for discrete time linear threshold recurrent neural networks

Wei Zhou, Jacek M. Zurada, 2014, Fifth International Conference on Intelligent Control and Information Processing.

Neural Network Predicted Peak and Trough Gentamicin Concentrations

Jacek M. Zurada, Michael E. Brier, George R. Aronoff, 1995, Pharmaceutical Research.

Symbolic Rule Representation in Neural Network Models

Jacek M. Zurada, Tomasz J. Cholewo, Andrzej Lozowski, 1997 .

Algorithms for improved topology preservation in self-organizing maps

Jacek M. Zurada, J. S. Kirk, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Optimal data-driven rule extraction using adaptive fuzzy-neural models

Jacek M. Zurada, Adam E. Gaweda, J. Zurada, 2002 .

Bifurcation-based neural computation

Jacek M. Zurada, A. Lozowski, Mykola Lysetskiy, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

A Nonlinear Regression based Approach for Multilayer Soil Parameter Estimation

Jacek M. Zurada, Chang-Jin Boo, Min-Jae Kang, 2014 .

Classificatory decomposition for time series clustering and categorization

Jacek M. Zurada, Tomasz G. Smolinski, 2004 .

Neural Modeling of Relative Humidity on IP2C Vibrating Transducer

Jacek M. Zurada, Salvatore Graziani, Ehsan Hosseini-Asl, 2014 .