Jacek M. Zurada
Orcid: 0000-0001-6622-534XAffiliations:
- University of Louisville, Department of Electrical and Computer Engineering, KY, USA
According to our database1,
Jacek M. Zurada
authored at least 197 papers
between 1990 and 2023.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 1996, "For contributions to engineering education in the area of neural networks.".
Timeline
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Online presence:
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Bibliography
2023
Patient-Specific Modeling and Model Predictive Control Approach to Personalized Optimal Anemia Management.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Analysis of Equilibria for a Class of Recurrent Neural Networks With Two Subnetworks.
IEEE Trans. Cybern., 2022
A pruning algorithm with relaxed conditions for high-order neural networks based on smoothing group L1/2 regularization and adaptive momentum.
Knowl. Based Syst., 2022
J. Artif. Intell. Soft Comput. Res., 2022
Convergence analysis for sigma-pi-sigma neural network based on some relaxed conditions.
Inf. Sci., 2022
Springer, ISBN: 978-981-19-5196-1, 2022
2021
J. Artif. Intell. Soft Comput. Res., 2021
Deterministic convergence analysis via smoothing group Lasso regularization and adaptive momentum for Sigma-Pi-Sigma neural network.
Inf. Sci., 2021
Radial Basis Function Interpolation and Galerkin Projection for Direct Trajectory Optimization and Costate Estimation.
IEEE CAA J. Autom. Sinica, 2021
Adaptive Individualized Modeling From Limited Clinical Data for Precise Anemia Management.
IEEE Access, 2021
Precise Warfarin Management through Personalized Modeling and Control with Limited Clinical Data.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Adaptive Individualized Drug-Dose Response Modeling from a Limited Clinical Data: Case of Warfarin Management.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
IEEE Trans. Knowl. Data Eng., 2020
J. Artif. Intell. Soft Comput. Res., 2020
A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis.
Inf. Sci., 2020
3D U-Net for segmentation of pulmonary nodules in volumetric CT scans from multi-annotator truth estimation.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Proceedings of the Artificial Intelligence and Soft Computing, 2020
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
Neural Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Artificial Intelligence Applications and Innovations, 2019
2018
A Novel Pruning Algorithm for Smoothing Feedforward Neural Networks Based on Group Lasso Method.
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Unknown Input Method Based Observer Synthesis for a Discrete Time Uncertain T-S Fuzzy System.
IEEE Trans. Fuzzy Syst., 2018
Unknown Input-Based Observer Synthesis for a Polynomial T-S Fuzzy Model System With Uncertainties.
IEEE Trans. Fuzzy Syst., 2018
Neural Networks, 2018
Smooth group <i>L</i><sub>1/2</sub> regularization for input layer of feedforward neural networks.
Neurocomputing, 2018
Modeling the bursting behavior of the Hodgkin-Huxley neurons using genetic algorithm based parameter search.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018
2017
IEEE Trans. Evol. Comput., 2017
Nonredundant sparse feature extraction using autoencoders with receptive fields clustering.
Neural Networks, 2017
Convergence analyses on sparse feedforward neural networks via group lasso regularization.
Inf. Sci., 2017
Individualized drug dosing using RBF-Galerkin method: Case of anemia management in chronic kidney disease.
Comput. Methods Programs Biomed., 2017
IEEE Access, 2017
Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm.
Proceedings of the Artificial Intelligence and Soft Computing, 2017
2016
Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2016
Infant Brain Extraction in T1-Weighted MR Images Using BET and Refinement Using LCDG and MGRF Models.
IEEE J. Biomed. Health Informatics, 2016
IEEE Trans. Biomed. Eng., 2016
Boundedness and convergence analysis of weight elimination for cyclic training of neural networks.
Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
A Conjugate Gradient-Based Efficient Algorithm for Training Single-Hidden-Layer Neural Networks.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the Artificial Intelligence and Soft Computing, 2016
Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Self-Organizing Neural Networks Integrating Domain Knowledge and Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2015
IEEE Trans. Neural Networks Learn. Syst., 2015
A Survey on Artificial Intelligence-Based Modeling Techniques for High Speed Milling Processes.
IEEE Syst. J., 2015
New stability condition for discrete-time fully coupled neural networks with multivalued neurons.
Neurocomputing, 2015
Comput. Methods Programs Biomed., 2015
Automatic segmentation of pathological lung using incremental nonnegative matrix factorization.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2015
2014
IEEE J. Biomed. Health Informatics, 2014
Batch gradient method with smoothing L<sub>1/2</sub> regularization for training of feedforward neural networks.
Neural Networks, 2014
Convergence of online gradient method for feedforward neural networks with smoothing L<sub>1/2</sub> regularization penalty.
Neurocomputing, 2014
Neurocomputing, 2014
Cross-Layer Design of Joint Beamforming and Random Network Coding in Wireless Multicast Networks.
IEEE Commun. Lett., 2014
A new stability condition for discrete time recurrent neural networks with complex-valued linear threshold neurons.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Stability condition for discrete time multi-valued recurrent neural networks in asynchronous update mode.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the Artificial Intelligence and Soft Computing, 2014
Proceedings of the Artificial Intelligence and Soft Computing, 2014
2013
Nonnegative Matrix Factorization and Its Application to Pattern Analysis and Text Mining.
Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 2013
2012
Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty.
Neural Networks, 2012
Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Obtaining Full Regularization Paths for Robust Sparse Coding with Applications to Face Recognition.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
2011
IEEE Trans. Neural Networks, 2011
IEEE Trans. Neural Networks, 2011
Toward Better Understanding of Protein Secondary Structure: Extracting Prediction Rules.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
Deterministic convergence of conjugate gradient method for feedforward neural networks.
Neurocomputing, 2011
Learning in a Time-Varying Environment by Making Use of the Stochastic Approximation and Orthogonal Series-Type Kernel Probabilistic Neural Network.
Proceedings of the Parallel Processing and Applied Mathematics, 2011
Weak Convergence of the Recursive Parzen-Type Probabilistic Neural Network in a Non-stationary Environment.
Proceedings of the Parallel Processing and Applied Mathematics, 2011
On the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise.
Proceedings of the Parallel Processing and Applied Mathematics, 2011
Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
2010
IEEE ACM Trans. Comput. Biol. Bioinform., 2010
Neural Comput., 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the Computational Science and Its Applications, 2010
Intelligent E-Learning Systems for Evaluation of User's Knowledge and Skills with Efficient Information Processing.
Proceedings of the Artifical Intelligence and Soft Computing, 2010
2009
Discrete-Time Recurrent Neural Networks With Complex-Valued Linear Threshold Neurons.
IEEE Trans. Circuits Syst. II Express Briefs, 2009
Neurocomputing, 2009
Building virtual community in computational intelligence and machine learning [Research Frontier].
IEEE Comput. Intell. Mag., 2009
A comparative study of database reduction methods for case-based computer-aided detection systems: preliminary results.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Evolutionary Optimization of Number of Gates in PLA Circuits Implemented in VLSI Circuits.
Proceedings of the Applications of Evolutionary Computing, 2009
2008
IEEE Trans. Neural Networks, 2008
Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance.
Neural Networks, 2008
IEEE Comput. Intell. Mag., 2008
Database decomposition of a knowledge-based CAD system in mammography: an ensemble approach to improve detection.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Proceedings of the Digital Mammography, 2008
Case-Specific Reliability Assessment for Improved False Positive Reduction with an Information-Theoretic CAD System.
Proceedings of the Digital Mammography, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008
2007
IEEE Trans. Syst. Man Cybern. Part B, 2007
The Hierarchical Fast Learning Artificial Neural Network (HieFLANN) - An Autonomous Platform for Hierarchical Neural Network Construction.
IEEE Trans. Neural Networks, 2007
IEEE Trans. Neural Networks, 2007
IEEE Trans. Fuzzy Syst., 2007
IEEE Trans. Circuits Syst. II Express Briefs, 2007
Adaptive neural network control of uncertain nonlinear systems with nonsmooth actuator nonlinearities.
Neurocomputing, 2007
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007
Particle swarm optimization of neural network CAD systems with clinically relevant objectives.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Differences in Input Space Stability Between Using the Inverted Output of Amplifier and Negative Conductance for Inhibitory Synapse.
Proceedings of the Advances in Neural Networks, 2007
Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis.
Proceedings of the International Joint Conference on Neural Networks, 2007
Adaptive Prediction of Patient Response to Erythropoietin using Neural Network Ensemble.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the Advances in Intelligent and Distributed Computing, 2007
Neural Networks with Complex-Valued Neurons for Recurrent and Feedforward Architectures.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007
Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN).
Proceedings of the Artificial Neural Networks, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Pattern Recognit., 2006
Confidence-based stratification of CAD recommendations with application to breast cancer detection.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the Artificial Intelligence and Soft Computing, 2006
Probabilistic Framework for Reliability Analysis of Information-Theoretic CAD Systems in Mammography.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
An energy function-based design method for discrete hopfield associative memory with attractive fixed points.
IEEE Trans. Neural Networks, 2005
Neural Networks, 2005
A novel technique for assessing the case-specific reliability of decisions made by CAD tools.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
A Hybrid Neuro-fuzzy Approach for Spinal Force Evaluation in Manual Materials Handling Tasks.
Proceedings of the Advances in Natural Computation, First International Conference, 2005
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005
2004
Editorial IEEE Transactions on Neural Networks: Editorial Report and Passing the Baton Jacek M. Zurada (left) and Marios M. Polycarpou.
IEEE Trans. Neural Networks, 2004
IEEE Trans. Neural Networks, 2004
An Approach to Multimodal Biomedical Image Registration Utilizing Particle Swarm Optimization.
IEEE Trans. Evol. Comput., 2004
Proc. IEEE, 2004
An information-theoretic approach to estimating ultrasound backscatter characteristics.
Comput. Biol. Medicine, 2004
Proceedings of the Advances in Neural Networks, 2004
Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004
Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost Recovery.
Proceedings of the Artificial Intelligence and Soft Computing, 2004
Blind Signal Separation and Extraction: Recent Trends, Future Perspectives, and Applications.
Proceedings of the Artificial Intelligence and Soft Computing, 2004
Hybridization of Blind Source Separation and Rough Sets for Proteomic Biomarker Indentification.
Proceedings of the Artificial Intelligence and Soft Computing, 2004
2003
IEEE Trans. Neural Networks, 2003
IEEE Trans. Fuzzy Syst., 2003
Pharmacodynamic population analysis in chronic renal failure using artificial neural networks - a comparative study.
Neural Networks, 2003
Proceedings of the Parallel Processing and Applied Mathematics, 2003
Time Series Prediction using Rough Sets and Neural Networks Hybrid Approach.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2003
Scoring-Based Analysis of Protein Patterns for Identification of Myeloma Cancer.
Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, 2003
2002
IEEE Trans. Neural Networks, 2002
IEEE Trans. Neural Networks, 2002
IEEE Trans. Biomed. Eng., 2002
Neural Process. Lett., 2002
Temporal-to-spatial dynamic mapping, flexible recognition, and temporal correlations in an olfactory cortex model.
Biol. Cybern., 2002
Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity within the Rat's Barrel Cortex.
Proceedings of the Pattern Recognition with Support Vector Machines, 2002
Evolutionary Algorithms and Rough Sets-Based Hybrid Approach to Classificatory Decomposition of Cortical Evoked Potentials.
Proceedings of the Rough Sets and Current Trends in Computing, 2002
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002
Future Challenges in Soft Computing: Theory? Computational Paradigms? Applications?
Proceedings of the FSDK'02, 2002
2001
IEEE Trans. Neural Networks, 2001
Neural Networks, 2001
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001
2000
IEEE Trans. Neural Networks Learn. Syst., 2000
Proceedings of the 30th IEEE International Symposium on Multiple-Valued Logic, 2000
Time Series Prediction by a Neural Network Model Based on the Bi-Directional Computation Style.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the 1st IEEE International Symposium on Bioinformatics and Biomedical Engineering, 2000
1999
Proceedings of the International Joint Conference Neural Networks, 1999
Therapeutic drug dosing prediction using adaptive models and artificial neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
1998
IEEE Trans. Neural Networks, 1998
Neural Networks And Hybrid Intelligent Models: Foundations, Theory, And Applications.
IEEE Trans. Neural Networks, 1998
A Neural Network Controller for Optimal Temperature Control of Household Refrigerators.
Intell. Autom. Soft Comput., 1998
From Chaos to Organization: Neurodynamics of 2D Active Medium.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
1997
Neurocomputing, 1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
1996
IEEE Trans. Neural Networks, 1996
Generalized Hopfield networks for associative memories with multi-valued stable states.
Neurocomputing, 1996
Proceedings of International Conference on Neural Networks (ICNN'96), 1996
Reduction of neural network models for identification and control of nonlinear systems.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996
1995
Proceedings of the From Natural to Artificial Neural Computation, 1995
Proceedings of the From Natural to Artificial Neural Computation, 1995
Convergence Suppression and Divergence Facilitation: New Approach to Prune Hidden Layer and Weights of Feedforward Neural Networks.
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995
Feedforward Neural Networks for Estimating IC Parametric Yield and Device Characterization.
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995
Inverse control of nonlinear systems using neural network observer and inverse mapping approach.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995
On Performance Measures of Artificial Neural Networks Trained by Structural Learning with Forgetting.
Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995
1994
Sensitivity Analysis for Minimization of Input Data Dimension for Feedforward Neural Network.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994
Minimal Training Set Size Estimation for Neural Network-Based Function Approximation.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994
1993
Modified Hebbian learning rule for single layer learning.
Proceedings of the 1993 IEEE International Symposium on Circuits and Systems, 1993
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993
1990
Sufficient condition for convergence of a relaxation algorithm in actual single-layer neural networks.
IEEE Trans. Neural Networks, 1990