| 2020 | ICAISC | A New Algorithm with a Line Search for Feedforward Neural Networks Training. | Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada |
| 2019 | IJCNN | On Correlation of Features Extracted by Deep Neural Networks. | Babajide O. Ayinde, Tamer Inanc, Jacek M. Zurada |
| 2017 | ICAISC | Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm. | Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada |
| 2016 | AAAI | Efficient Learning of Timeseries Shapelets. | Lu Hou, James T. Kwok, Jacek M. Zurada |
| 2016 | ICAISC | Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning. | Babajide O. Ayinde, Ehsan Hosseini-Asl, Jacek M. Zurada |
| 2016 | ICAISC | Application of the Givens Rotations in the Neural Network Learning Algorithm. | Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada |
| 2016 | ICONIP | A Conjugate Gradient-Based Efficient Algorithm for Training Single-Hidden-Layer Neural Networks. | Xiaoling Gong, Jian Wang, Yanjiang Wang, Jacek M. Zurada |
| 2016 | IJCNN | Clustering of receptive fields in Autoencoders. | Babajide O. Ayinde, Jacek M. Zurada |
| 2015 | ICAISC | Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks. | Jaroslaw Bilski, Jacek Smolag, Jacek M. Zurada |
| 2015 | ICIP | Automatic segmentation of pathological lung using incremental nonnegative matrix factorization. | Ehsan Hosseini-Asl, Jacek M. Zurada, Ayman El-Baz |
| 2014 | ICAISC | Nonnegative Matrix Factorization for Document Clustering: A Survey. | Ehsan Hosseini-Asl, Jacek M. Zurada |
| 2014 | ICAISC | Boundedness of Weight Elimination for BP Neural Networks. | Jian Wang, Jacek M. Zurada, Yanjiang Wang, Jing Wang, Guofang Xie |
| 2014 | ICIP | Lung segmentation based on Nonnegative Matrix Factorization. | Ehsan Hosseini-Asl, Jacek M. Zurada, Ayman El-Baz |
| 2014 | IJCNN | Stability condition for discrete time multi-valued recurrent neural networks in asynchronous update mode. | Wei Zhou, Jacek M. Zurada |
| 2014 | IJCNN | A new stability condition for discrete time recurrent neural networks with complex-valued linear threshold neurons. | Wei Zhou, Jacek M. Zurada |
| 2013 | FedCSIS | Nonnegative Matrix Factorization and Its Application to Pattern Analysis and Text Mining. | Jacek M. Zurada, Tolga Ensari, Ehsan Hosseini-Asl, Jan Chorowski |
| 2012 | ICANN | Correntropy-Based Document Clustering via Nonnegative Matrix Factorization. | Tolga Ensari, Jan Chorowski, Jacek M. Zurada |
| 2012 | ICMLA | Obtaining Full Regularization Paths for Robust Sparse Coding with Applications to Face Recognition. | Jan Chorowski, Jacek M. Zurada |
| 2012 | ICMLA | Occluded Face Recognition Using Correntropy-Based Nonnegative Matrix Factorization. | Tolga Ensari, Jan Chorowski, Jacek M. Zurada |
| 2012 | ISNN | Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks. | Jian Wang, Wei Wu, Jacek M. Zurada |
| 2011 | ICANN | Top-Down Induction of Reduced Ordered Decision Diagrams from Neural Networks. | Jan Chorowski, Jacek M. Zurada |
| 2011 | IJCNN | Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty. | Jian Wang, Wei Wu, Jacek M. Zurada |
| 2011 | PPAM | On the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise. | Piotr Duda, Jacek M. Zurada |
| 2011 | PPAM | Weak Convergence of the Recursive Parzen-Type Probabilistic Neural Network in a Non-stationary Environment. | Lena Pietruczuk, Jacek M. Zurada |
| 2011 | PPAM | 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 |
| 2010 | ICAISC | Intelligent E-Learning Systems for Evaluation of User's Knowledge and Skills with Efficient Information Processing. | Wojciech Kacalak, Maciej Majewski, Jacek M. Zurada |
| 2010 | ICCSA | Estimating Soil Parameters Using the Kernel Function. | Min-Jae Kang, Chang-Jin Boo, Ho-Chan Kim, Jacek M. Zurada |
| 2010 | IJCNN | Evolutionary approach to ICA-R. | Swathi Kavuri Sri, Jacek M. Zurada, Jagath C. Rajapakse |
| 2009 | IJCNN | A class of discrete-time recurrent neural networks with multivalued neurons. | Wei Zhou, Jacek M. Zurada |
| 2008 | BIBE | Extracting decision rules in prediction of protein secondary structure. | Minh Ngoc Nguyen, Jacek M. Zurada, Jagath C. Rajapakse |
| 2008 | IJCNN | HieNet architecture using the K-Iterations Fast Learning artificial Neural Networks. | L. P. Tay, Jacek M. Zurada, Lai-Ping Wong |
| 2008 | IJCNN | Computational intelligence virtual community: Framework and implementation issues. | Jacek M. Zurada, Janusz Wojtusiak, Fahmida Chowdhury, James E. Gentle, Cedric J. Jeannot, Maciej A. Mazurowski |
| 2007 | CEC | Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms. | Maciej A. Mazurowski, Piotr A. Habas, Georgia D. Tourassi, Jacek M. Zurada |
| 2007 | CEC | Solving decentralized multi-agent control problems with genetic algorithms. | Maciej A. Mazurowski, Jacek M. Zurada |
| 2007 | ICANN | Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN). | Igor N. Aizenberg, Jacek M. Zurada |
| 2007 | ICMLA | Neural Networks with Complex-Valued Neurons for Recurrent and Feedforward Architectures. | Jacek M. Zurada |
| 2007 | IJCNN | Window Merge Neural Gas for Processing Pattern Sequences. | Pablo A. Estvez, Ricardo Zilleruelo-Ramos, Jacek M. Zurada |
| 2007 | IJCNN | Adaptive Prediction of Patient Response to Erythropoietin using Neural Network Ensemble. | Adam E. Gaweda, Mehmet Kerem Mezzinoglu, Jacek M. Zurada, Michael E. Brier |
| 2007 | IJCNN | Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis. | Maciej A. Mazurowski, Piotr A. Habas, Georgia D. Tourassi, Jacek M. Zurada |
| 2007 | IDC | Fully Coupled and Feedforward Neural Networks with Complex-Valued Neurons. | Jacek M. Zurada, Igor N. Aizenberg |
| 2007 | ISNN | Differences in Input Space Stability Between Using the Inverted Output of Amplifier and Negative Conductance for Inhibitory Synapse. | Min-Jae Kang, Ho-Chan Kim, Wang-Cheol Song, Junghoon Lee, Hee-Sang Ko, Jacek M. Zurada |
| 2006 | ICAISC | Chaotic Cellular Neural Networks with Negative Self-feedback. | Wen Liu, Haixiang Shi, Lipo Wang, Jacek M. Zurada |
| 2006 | IJCNN | Identification of Low Back Injury from EMG Signals using a Neural Network Model. | Yanfeng Hou, Jacek M. Zurada, Waldemar Karwowski, William S. Marras |
| 2006 | ISNN | Convergence Analysis of Continuous-Time Neural Networks. | Min-Jae Kang, Ho-Chan Kim, Farrukh Aslam Khan, Wang-Cheol Song, Jacek M. Zurada |
| 2005 | ICMLA | Incorporating prior knowledge into Q-learning for drug delivery individualization. | Adam E. Gaweda, Mehmet Kerem Mezzinoglu, George R. Aronoff, Alfred A. Jacobs, Jacek M. Zurada, Michael E. Brier |
| 2005 | ICNC | A Hybrid Neuro-fuzzy Approach for Spinal Force Evaluation in Manual Materials Handling Tasks. | Yanfeng Hou, Jacek M. Zurada, Waldemar Karwowski, William S. Marras |
| 2005 | IJCNN | Reinforcement learning approach to individualization of chronic pharmacotherapy. | Adam E. Gaweda, Mehmet K. Muezzinoglu, George R. Aronoff, Alfred A. Jacobs, Jacek M. Zurada, Michael E. Brier |
| 2005 | IJCNN | A fully approach for key variables identification of EMG evaluation signal. | Yanfeng Hou, Jacek M. Zurada, Waldemar Karwowski, William M. Marras |
| 2004 | ICAISC | Hybridization of Blind Source Separation and Rough Sets for Proteomic Biomarker Indentification. | Grzegorz M. Boratyn, Tomasz G. Smolinski, Jacek M. Zurada, Mariofanna G. Milanova, Sudeepa Bhattacharyya, Larry J. Suva |
| 2004 | ICAISC | Blind Signal Separation and Extraction: Recent Trends, Future Perspectives, and Applications. | Andrzej Cichocki, Jacek M. Zurada |
| 2004 | ICAISC | Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost Recovery. | Tomasz G. Smolinski, Darrel L. Chenoweth, Jacek M. Zurada |
| 2004 | ICMLA | Prediction of dynamic forces on lumbar joint using a recurrent neural network model. | Yanfeng Jou, Jacek M. Zurada, Waldemar Karwowski |
| 2004 | IJCNN | Prediction of EMG signals of trunk muscles in manual lifting using a neural network model. | Yanfeng Hou, Jacek M. Zurada, Waldemar Karwowski |
| 2004 | IJCNN | Projection-based gradient descent training of radial basis function networks. | Mehmet Kerem Mezzinoglu, Jacek M. Zurada |
| 2004 | IJCNN | President's Welcome. | Jacek M. Zurada |
| 2004 | ISNN | Topography-Enhanced BMU Search in Self-Organizing Maps. | James S. Kirk, Jacek M. Zurada |
| 2003 | IJCNN | Artificial neural network-based pharmacodynamic population analysis in chronic renal failure. | Adam E. Gaweda, Alfred A. Jacobs, Michael E. Brier, Jacek M. Zurada |
| 2003 | IJCNN | A new design method for complex-valued multistate hopfield associative memory. | Mehmet Kerem Mezzinoglu, Cneyt Gzelis, Jacek M. Zurada |
| 2003 | PPAM | Systolic Architectures for Soft Computing Algorithms. | Jaroslaw Bilski, Jacek Smolag, Jacek M. Zurada |
| 2000 | BIBE | Classification and Estimation of Ultrasound Speckle Noise with Neural Networks. | Mark P. Wachowiak, Adel Said Elmaghraby, Renata Smolkova, Jacek M. Zurada |
| 2000 | IJCNN | Fuzzy Neural Network with Relational Fuzzy Rules. | Adam E. Gaweda, Jacek M. Zurada |
| 2000 | IJCNN | Time Series Prediction by a Neural Network Model Based on the Bi-Directional Computation Style. | Hiroshi Wakuya, Jacek M. Zurada |
| 1999 | IJCNN | Application of self-organizing network and MLP for fuzzy rule extraction. | Adam E. Gaweda, Jacek M. Zurada |
| 1999 | IJCNN | Therapeutic drug dosing prediction using adaptive models and artificial neural networks. | Peter Lada, Michael E. Brier, Jacek M. Zurada |
| 1999 | IJCNN | Hamiltonian vector field for the Lorenz invariant set. | Andrzej Lozowski, Rafal Komendarczyk, Jacek M. Zurada |
| 1998 | ICONIP | From Chaos to Organization: Neurodynamics of 2D Active Medium. | Jacek M. Zurada |
| 1995 | ISCAS | Feedforward Neural Networks for Estimating IC Parametric Yield and Device Characterization. | Gregory L. Creech, Jacek M. Zurada, Peter B. Aronhime |
| 1995 | ISCAS | Multivalued Neural Associative Memory. | Stanislaw Jankowski, Andrzej Lozowski, Jacek M. Zurada |
| 1995 | ISCAS | Capabilities and Limitations of Feedforward Neural Networks with Multilevel Neurons. | Aleksander Malinowski, Tomasz J. Cholewo, Jacek M. Zurada |
| 1995 | ISCAS | Convergence Suppression and Divergence Facilitation: New Approach to Prune Hidden Layer and Weights of Feedforward Neural Networks. | Syozo Yasui, Aleksander Malinowski, Jacek M. Zurada |
| 1995 | IWANN | Automatic Scaling using Gamma Learning for Feedforward Neural Networks. | Andries P. Engelbrecht, Ian Cloete, Jaco Geldenhuys, Jacek M. Zurada |
| 1995 | IWANN | Determining the Significance of Input Parameters using Sensitivity Analysis. | Andries P. Engelbrecht, Ian Cloete, Jacek M. Zurada |
| 1994 | ISCAS | Current-Mode Network Transformations. | Mehul Desai, Peter B. Aronhime, Jacek M. Zurada |
| 1994 | ISCAS | Minimal Training Set Size Estimation for Neural Network-Based Function Approximation. | Aleksander Malinowski, Jacek M. Zurada, Peter B. Aronhime |
| 1994 | ISCAS | Sensitivity Analysis for Minimization of Input Data Dimension for Feedforward Neural Network. | Jacek M. Zurada, Aleksander Malinowski, Ian Cloete |
| 1993 | ISCAS | Modified Hebbian learning rule for single layer learning. | Jacek M. Zurada, Aleksander Malinowski, P. Przestrzelski |