| Year |
Citation |
Score |
| 2020 |
Zhang H, Wang J, Sun Z, Zurada JM, Pal NR. Feature Selection for Neural Networks Using Group Lasso Regularization Ieee Transactions On Knowledge and Data Engineering. 32: 659-673. DOI: 10.1109/Tkde.2019.2893266 |
0.381 |
|
| 2020 |
Gao T, Gong X, Zhang K, Lin F, Wang J, Huang T, Zurada JM. A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis Information Sciences. 519: 273-288. DOI: 10.1016/J.Ins.2020.01.045 |
0.41 |
|
| 2019 |
Ayinde BO, Inanc T, Zurada JM. Redundant feature pruning for accelerated inference in deep neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 118: 148-158. PMID 31279285 DOI: 10.1016/J.Neunet.2019.04.021 |
0.371 |
|
| 2019 |
Ayinde BO, Inanc T, Zurada JM. Regularizing Deep Neural Networks by Enhancing Diversity in Feature Extraction. Ieee Transactions On Neural Networks and Learning Systems. PMID 30624232 DOI: 10.1109/Tnnls.2018.2885972 |
0.403 |
|
| 2019 |
Shi D, Zurada J, Karwowski W, Guan J, Çakıt E. Batch and data streaming classification models for detecting adverse events and understanding the influencing factors Engineering Applications of Artificial Intelligence. 85: 72-84. DOI: 10.1016/J.Engappai.2019.05.006 |
0.332 |
|
| 2018 |
Zhao J, Zurada JM, Yang J, Wu W. The convergence analysis of SpikeProp algorithm with smoothing Lregularization. Neural Networks : the Official Journal of the International Neural Network Society. 103: 19-28. PMID 29625353 DOI: 10.1016/J.Neunet.2018.03.007 |
0.363 |
|
| 2018 |
Li F, Zurada JM, Wu W. Sparse Representation Learning of Data by Autoencoders with L_1/2 Regularization Neural Network World. 28: 133-147. DOI: 10.14311/Nnw.2018.%%X |
0.378 |
|
| 2018 |
Vu V, Wang W, Chen H, Zurada JM. Unknown Input-Based Observer Synthesis for a Polynomial T–S Fuzzy Model System With Uncertainties Ieee Transactions On Fuzzy Systems. 26: 1447-1458. DOI: 10.1109/Tfuzz.2017.2724507 |
0.338 |
|
| 2018 |
Vu V, Wang W, Zurada JM, Chen H, Chiu C. Unknown Input Method Based Observer Synthesis for a Discrete Time Uncertain T–S Fuzzy System Ieee Transactions On Fuzzy Systems. 26: 761-770. DOI: 10.1109/Tfuzz.2017.2688388 |
0.347 |
|
| 2018 |
Li F, Zurada JM, Wu W. Smooth group L1/2 regularization for input layer of feedforward neural networks Neurocomputing. 314: 109-119. DOI: 10.1016/J.Neucom.2018.06.046 |
0.302 |
|
| 2017 |
Wang J, Xu C, Yang X, Zurada JM. A Novel Pruning Algorithm for Smoothing Feedforward Neural Networks Based on Group Lasso Method. Ieee Transactions On Neural Networks and Learning Systems. PMID 28961129 DOI: 10.1109/Tnnls.2017.2748585 |
0.399 |
|
| 2017 |
Ayinde BO, Zurada JM. Deep Learning of Constrained Autoencoders for Enhanced Understanding of Data. Ieee Transactions On Neural Networks and Learning Systems. PMID 28961128 DOI: 10.1109/Tnnls.2017.2747861 |
0.358 |
|
| 2017 |
Mirinejad H, Gaweda AE, Brier ME, Zurada JM, Inanc T. Individualized drug dosing using RBF-Galerkin method: Case of anemia management in chronic kidney disease. Computer Methods and Programs in Biomedicine. 148: 45-53. PMID 28774438 DOI: 10.1016/J.Cmpb.2017.06.008 |
0.66 |
|
| 2017 |
Ayinde BO, Zurada JM. Nonredundant sparse feature extraction using autoencoders with receptive fields clustering. Neural Networks : the Official Journal of the International Neural Network Society. 93: 99-109. PMID 28552509 DOI: 10.1016/J.Neunet.2017.04.012 |
0.318 |
|
| 2017 |
Hou Y, Ong Y, Feng L, Zurada JM. An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems Ieee Transactions On Evolutionary Computation. 21: 601-615. DOI: 10.1109/Tevc.2017.2664665 |
0.345 |
|
| 2017 |
Ayinde BO, Zurada JM. Discovery Through Constraints: Imposing Constraints on Autoencoders for Data Representation and Dictionary Learning Ieee Systems, Man, and Cybernetics Magazine. 3: 13-24. DOI: 10.1109/Msmc.2017.2701578 |
0.306 |
|
| 2017 |
Li F, Zurada JM, Liu Y, Wu W. Input Layer Regularization of Multilayer Feedforward Neural Networks Ieee Access. 5: 10979-10985. DOI: 10.1109/Access.2017.2713389 |
0.377 |
|
| 2017 |
Wang J, Cai Q, Chang Q, Zurada JM. Convergence analyses on sparse feedforward neural networks via group lasso regularization Information Sciences. 381: 250-269. DOI: 10.1016/J.Ins.2016.11.020 |
0.381 |
|
| 2016 |
Wang J, Ye Z, Gao W, Zurada JM. Boundedness and convergence analysis of weight elimination for cyclic training of neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 82: 49-61. PMID 27472447 DOI: 10.1016/J.Neunet.2016.06.005 |
0.352 |
|
| 2016 |
Fan Q, Wu W, Zurada JM. Convergence of batch gradient learning with smoothing regularization and adaptive momentum for neural networks. Springerplus. 5: 295. PMID 27066332 DOI: 10.1186/S40064-016-1931-0 |
0.382 |
|
| 2016 |
Wen Y, Wang J, Huang B, Zurada JM. Convergence Analysis of Inverse Iterative Neural Networks with L2 Penalty Journal of Applied Computer Science Methods. 8: 85-98. DOI: 10.1515/Jacsm-2016-0006 |
0.374 |
|
| 2015 |
Hosseini-Asl E, Zurada JM, Nasraoui O. Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints. Ieee Transactions On Neural Networks and Learning Systems. PMID 26529786 DOI: 10.1109/Tnnls.2015.2479223 |
0.386 |
|
| 2015 |
Teng TH, Tan AH, Zurada JM. Self-organizing neural networks integrating domain knowledge and reinforcement learning. Ieee Transactions On Neural Networks and Learning Systems. 26: 889-902. PMID 25881365 DOI: 10.1109/Tnnls.2014.2327636 |
0.331 |
|
| 2015 |
Chorowski J, Zurada JM. Learning understandable neural networks with nonnegative weight constraints. Ieee Transactions On Neural Networks and Learning Systems. 26: 62-9. PMID 25532156 DOI: 10.1109/Tnnls.2014.2310059 |
0.414 |
|
| 2015 |
Akabua E, Inanc T, Gaweda A, Brier ME, Kim S, Zurada JM. Individualized model discovery: the case of anemia patients. Computer Methods and Programs in Biomedicine. 118: 23-33. PMID 25459523 DOI: 10.1016/J.Cmpb.2014.10.001 |
0.667 |
|
| 2015 |
Wang J, Yang G, Liu S, Zurada JM. Convergence Analysis of Multilayer Feedforward Networks Trained with Penalty Terms: A Review Journal of Applied Computer Science Methods. 7: 89-103. DOI: 10.1515/Jacsm-2015-0011 |
0.352 |
|
| 2015 |
Torabi AJ, Er MJ, Li X, Lim BS, Zhai L, Oentaryo RJ, Peen GO, Zurada JM. A survey on artificial intelligence-based modeling techniques for high speed milling processes Ieee Systems Journal. 9: 1069-1080. DOI: 10.1109/Jsyst.2013.2282479 |
0.312 |
|
| 2015 |
Zhou W, Zurada JM. New stability condition for discrete-time fully coupled neural networks with multivalued neurons Neurocomputing. 166: 38-43. DOI: 10.1016/J.Neucom.2015.04.036 |
0.334 |
|
| 2014 |
Wu W, Fan Q, Zurada JM, Wang J, Yang D, Liu Y. Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 50: 72-8. PMID 24291693 DOI: 10.1016/J.Neunet.2013.11.006 |
0.311 |
|
| 2014 |
Li B, Li H, Zurada JM. Cross-layer design of joint beamforming and random network coding in wireless multicast networks Ieee Communications Letters. 18: 2173-2176. DOI: 10.1109/Lcomm.2014.2352297 |
0.332 |
|
| 2014 |
De Luca V, Hosseini-Asl E, Graziani S, Zurada JM. Neural modeling of relative humidity on IP2C vibrating transducer Procedia Engineering. 87: 424-427. DOI: 10.1016/J.Proeng.2014.11.290 |
0.37 |
|
| 2014 |
Fan Q, Zurada JM, Wu W. Convergence of online gradient method for feedforward neural networks with smoothing L1/2 regularization penalty Neurocomputing. 131: 208-216. DOI: 10.1016/J.Neucom.2013.10.023 |
0.32 |
|
| 2014 |
Chorowski J, Wang J, Zurada JM. Review and performance comparison of SVM- and ELM-based classifiers Neurocomputing. 128: 507-516. DOI: 10.1016/J.Neucom.2013.08.009 |
0.33 |
|
| 2012 |
Zhou W, Zurada JM. A competitive layer model for cellular neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 33: 216-27. PMID 22717448 DOI: 10.1016/J.Neunet.2012.05.005 |
0.396 |
|
| 2012 |
Wang J, Wu W, Zurada JM. Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty. Neural Networks : the Official Journal of the International Neural Network Society. 33: 127-35. PMID 22622263 DOI: 10.1016/J.Neunet.2012.04.013 |
0.342 |
|
| 2011 |
Nguyen MN, Zurada JM, Rajapakse JC. Toward better understanding of protein secondary structure: extracting prediction rules. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 8: 858-64. PMID 21393657 DOI: 10.1109/Tcbb.2010.16 |
0.308 |
|
| 2011 |
Chorowski J, Zurada JM. Extracting rules from neural networks as decision diagrams. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 22: 2435-46. PMID 21335310 DOI: 10.1109/Tnn.2011.2106163 |
0.384 |
|
| 2011 |
Wang J, Wu W, Zurada JM. Deterministic convergence of conjugate gradient method for feedforward neural networks Neurocomputing. 74: 2368-2376. DOI: 10.1016/J.Neucom.2011.03.016 |
0.378 |
|
| 2010 |
Zhou W, Zurada JM. Competitive layer model of discrete-time recurrent neural networks with LT neurons. Neural Computation. 22: 2137-60. PMID 20438335 DOI: 10.1162/Neco_A_00004-Zhou |
0.393 |
|
| 2009 |
Mazurowski MA, Zurada JM, Tourassi GD. An adaptive incremental approach to constructing ensemble classifiers: application in an information-theoretic computer-aided decision system for detection of masses in mammograms. Medical Physics. 36: 2976-84. PMID 19673196 DOI: 10.1118/1.3132304 |
0.332 |
|
| 2009 |
Mazurowski MA, Malof JM, Zurada JM, Tourassi GD. A comparative study of database reduction methods for case-based computer-aided detection systems: Preliminary results Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7260. DOI: 10.1117/12.812442 |
0.308 |
|
| 2009 |
Zhou W, Zurada JM. Discrete-time recurrent neural networks with complex-valued linear threshold neurons Ieee Transactions On Circuits and Systems Ii: Express Briefs. 56: 669-673. DOI: 10.1109/Tcsii.2009.2025625 |
0.353 |
|
| 2009 |
Zhou W, Zurada JM. A class of discrete-time recurrent neural networks with multivalued neurons Proceedings of the International Joint Conference On Neural Networks. 3555-3558. DOI: 10.1016/J.Neucom.2009.05.015 |
0.37 |
|
| 2008 |
Mazurowski MA, Zurada JM, Tourassi GD. Selection of examples in case-based computer-aided decision systems. Physics in Medicine and Biology. 53: 6079-96. PMID 18854606 DOI: 10.1088/0031-9155/53/21/013 |
0.309 |
|
| 2008 |
Pedrycz W, Rai P, Zurada J. Experience-consistent modeling for radial basis function neural networks. International Journal of Neural Systems. 18: 279-92. PMID 18763728 DOI: 10.1142/S0129065708001592 |
0.322 |
|
| 2008 |
Aizenberg I, Paliy DV, Zurada JM, Astola JT. Blur identification by multilayer neural network based on multivalued neurons. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 19: 883-98. PMID 18467216 DOI: 10.1109/Tnn.2007.914158 |
0.425 |
|
| 2008 |
Mazurowski MA, Habas PA, Zurada JM, Lo JY, Baker JA, Tourassi GD. Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance. Neural Networks : the Official Journal of the International Neural Network Society. 21: 427-36. PMID 18272329 DOI: 10.1016/J.Neunet.2007.12.031 |
0.338 |
|
| 2008 |
Mazurowski MA, Habas PA, Zurada JM, Tourassi GD. Decision optimization of case-based computer-aided decision systems using genetic algorithms with application to mammography. Physics in Medicine and Biology. 53: 895-908. PMID 18263947 DOI: 10.1088/0031-9155/53/4/005 |
0.303 |
|
| 2008 |
Majewski M, Zurada JM. Sentence recognition using artificial neural networks Knowledge-Based Systems. 21: 629-635. DOI: 10.1016/J.Knosys.2008.03.053 |
0.355 |
|
| 2007 |
Gaweda AE, Muezzinoglu MK, Aronoff GR, Jacobs AA, Zurada JM, Brier ME. Using clinical information in goal-oriented learning. Ieee Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society. 26: 27-36. PMID 17441606 DOI: 10.1109/Memb.2007.335580 |
0.764 |
|
| 2007 |
Habas PA, Zurada JM, Elmaghraby AS, Tourassi GD. Reliability analysis framework for computer-assisted medical decision systems. Medical Physics. 34: 763-72. PMID 17388194 DOI: 10.1118/1.2432409 |
0.347 |
|
| 2007 |
Hou Y, Zurada JM, Karwowski W, Marras WS, Davis K. Estimation of the dynamic spinal forces using a recurrent fuzzy neural network. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society. 37: 100-9. PMID 17278564 DOI: 10.1109/TSMCB.2006.881298 |
0.561 |
|
| 2007 |
Tay ALP, Zurada JM, Wong LP, Xu J. The hierarchical fast learning artificial neural network (HieFLANN) - An autonomous platform for hierarchical neural network construction Ieee Transactions On Neural Networks. 18: 1645-1657. DOI: 10.1109/Tnn.2007.900231 |
0.419 |
|
| 2007 |
Hou Y, Zurada JM, Karwowski W, Marras WS, Davis K. Identification of key variables using fuzzy average with fuzzy cluster distribution Ieee Transactions On Fuzzy Systems. 15: 673-685. DOI: 10.1109/Tfuzz.2006.889897 |
0.57 |
|
| 2007 |
Wang L, Liu W, Shi H, Zurada JM. Cellular neural networks with transient chaos Ieee Transactions On Circuits and Systems Ii: Express Briefs. 54: 440-444. DOI: 10.1109/Tcsii.2007.892399 |
0.359 |
|
| 2007 |
Gaweda AE, Muezzinoglu MK, Zurada JM, Brier ME. Adaptive prediction of patient response to erythropoietin using neural network ensemble Ieee International Conference On Neural Networks - Conference Proceedings. 2268-2270. DOI: 10.1109/IJCNN.2007.4371311 |
0.786 |
|
| 2007 |
Zhou J, Joo Er M, Zurada JM. Adaptive neural network control of uncertain nonlinear systems with nonsmooth actuator nonlinearities Neurocomputing. 70: 1062-1070. DOI: 10.1016/J.Neucom.2006.09.009 |
0.358 |
|
| 2006 |
Muezzinoglu MK, Zurada JM. RBF-based neurodynamic nearest neighbor classification in real pattern space Pattern Recognition. 39: 747-760. DOI: 10.1016/J.Patcog.2005.10.026 |
0.739 |
|
| 2006 |
Karwowski W, Gaweda A, Marras WS, Davis K, Zurada JM, Rodrick D. 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 International Journal of Industrial Ergonomics. 36: 847-859. DOI: 10.1016/J.Ergon.2006.06.006 |
0.678 |
|
| 2005 |
Gaweda AE, Muezzinoglu MK, Aronoff GR, Jacobs AA, Zurada JM, Brier ME. Individualization of pharmacological anemia management using reinforcement learning. Neural Networks : the Official Journal of the International Neural Network Society. 18: 826-34. PMID 16109475 DOI: 10.1016/J.Neunet.2005.06.020 |
0.773 |
|
| 2005 |
Müezzinoglu MK, Güzeliş C, Zurada JM. An energy function-based design method for discrete Hopfield associative memory with attractive fixed points. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 16: 370-8. PMID 15787144 DOI: 10.1109/Tnn.2004.841775 |
0.705 |
|
| 2005 |
Gaweda AE, Muezzinoglu MK, Aronoff GR, Jacobs AA, Zurada JM, Brier ME. Reinforcement learning approach to individualization of chronic pharmacotherapy Proceedings of the International Joint Conference On Neural Networks. 5: 3290-3295. DOI: 10.1109/IJCNN.2005.1556455 |
0.783 |
|
| 2005 |
Muezzinoglu MK, Zurada JM. A recurrent RBF network model for nearest neighbor classification Proceedings of the International Joint Conference On Neural Networks. 1: 343-348. DOI: 10.1109/IJCNN.2005.1555854 |
0.729 |
|
| 2005 |
Gaweda AE, Muezzinoglu MK, Aronoff GR, Jacobs AA, Zurada JM, Brier ME. Incorporating prior knowledge into Q-learning for drug delivery individualization Proceedings - Icmla 2005: Fourth International Conference On Machine Learning and Applications. 2005: 207-217. DOI: 10.1109/ICMLA.2005.40 |
0.767 |
|
| 2004 |
Smolíková R, Wachowiak MP, Zurada JM. An information-theoretic approach to estimating ultrasound backscatter characteristics. Computers in Biology and Medicine. 34: 355-70. PMID 15121005 DOI: 10.1016/S0010-4825(03)00072-6 |
0.757 |
|
| 2004 |
Lysetskiy M, Zurada JM. Bifurcating neuron: computation and learning. Neural Networks : the Official Journal of the International Neural Network Society. 17: 225-32. PMID 15036340 DOI: 10.1016/J.Neunet.2003.09.003 |
0.317 |
|
| 2004 |
Wachowiak MP, Smolíková R, Zheng Y, Zurada JM, Elmaghraby AS. An approach to multimodal biomedical image registration utilizing particle swarm optimization Ieee Transactions On Evolutionary Computation. 8: 289-301. DOI: 10.1109/Tevc.2004.826068 |
0.747 |
|
| 2004 |
Muezzinoglu MK, Zurada JM. Projection-based gradient descent training of radial basis function networks Ieee International Conference On Neural Networks - Conference Proceedings. 2: 1297-1302. DOI: 10.1109/IJCNN.2004.1380131 |
0.706 |
|
| 2004 |
Boratyn GM, Smolinski TG, Zurada JM, Milanova M, Bhattacharyya S, Suva LJ. Hybridization of blind source separation and rough sets for proteomic biomarker identification Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 3070: 486-491. |
0.707 |
|
| 2003 |
Muezzinoglu MK, Guzelis C, Zurada JM. A new design method for the complex-valued multistate Hopfield associative memory. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 14: 891-9. PMID 18238068 DOI: 10.1109/Tnn.2003.813844 |
0.713 |
|
| 2003 |
Gaweda AE, Jacobs AA, Brier ME, Zurada JM. Pharmacodynamic population analysis in chronic renal failure using artificial neural networks--a comparative study. Neural Networks : the Official Journal of the International Neural Network Society. 16: 841-5. PMID 12850042 DOI: 10.1016/S0893-6080(03)00084-4 |
0.657 |
|
| 2003 |
Karwowski W, Gaweda A, Marras WS, Davis K, Zurada J. Estimation of EMG Activity of Trunk Muscles in Manual Lifting Tasks Based on Trunk Dynamics Using the Fuzzy Relational Rule Network Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 47: 1208-1212. DOI: 10.1177/154193120304701022 |
0.645 |
|
| 2003 |
Gaweda AE, Zurada JM. Data-driven linguistic modeling using relational fuzzy rules Ieee Transactions On Fuzzy Systems. 11: 121-134. DOI: 10.1109/Tfuzz.2002.803491 |
0.684 |
|
| 2003 |
Gaweda AE, Jacobs AA, Brier ME, Zurada JM. Artificial Neural Network-Based Pharmacodynamic Population Analysis in Chronic Renal Failure Proceedings of the International Joint Conference On Neural Networks. 1: 71-74. |
0.665 |
|
| 2003 |
Boratyn GM, Smolinski TG, Milanova M, Zurada JM, Bhattacharyya S, Suva LJ. Bayesian approach to analysis of protein patterns for identification of myeloma cancer International Conference On Machine Learning and Cybernetics. 2: 1217-1221. |
0.717 |
|
| 2003 |
Boratyn GM, Smolinski TG, Milanova M, Zurada JM, Bhattacharyya S, Suva LJ. 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 Sciences. 60-65. |
0.708 |
|
| 2002 |
Wachowiak MP, Smolíková R, Zurada JM, Elmaghraby AS. Estimation of K distribution parameters using neural networks. Ieee Transactions On Bio-Medical Engineering. 49: 617-20. PMID 12046708 DOI: 10.1109/Tbme.2002.1001977 |
0.76 |
|
| 2002 |
Setiono R, Leow WK, Zurada JM. Extraction of rules from artificial neural networks for nonlinear regression Ieee Transactions On Neural Networks. 13: 564-577. DOI: 10.1109/Tnn.2002.1000125 |
0.4 |
|
| 2002 |
Smolinski TG, Boratyn GM, Milanova M, Zurada JM, Wrobel A. Evolutionary algorithms and rough sets-based hybrid approach to classificatory decomposition of cortical evoked potentials Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2475: 621-628. DOI: 10.1007/3-540-45813-1_82 |
0.759 |
|
| 2002 |
Milanova M, Smolinski TG, Boratyn GM, Zurada JM, Wrobel A. Sparse correlation kernel analysis and evolutionary algorithm-based modeling of the sensory activity within the rat’s barrel cortex Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2388: 198-212. DOI: 10.1007/3-540-45665-1_16 |
0.751 |
|
| 2002 |
Gaweda AE, Zurada JM, Aronhime PB. Efficient data-driven modeling with fuzzy relational rule network Ieee International Conference On Fuzzy Systems. 1: 174-178. |
0.684 |
|
| 2001 |
Wakuya H, Zurada JM. Bi-directional computing architecture for time series prediction Neural Networks. 14: 1307-1321. PMID 11718428 DOI: 10.1016/S0893-6080(01)00087-9 |
0.364 |
|
| 2001 |
Tan Y, Wang J, Zurada JM. Nonlinear blind source separation using a radial basis function network Ieee Transactions On Neural Networks. 12: 124-134. DOI: 10.1109/72.896801 |
0.43 |
|
| 2001 |
Gaweda AE, Zurada JM. Data-driven design of fuzzy system with relational input partition Ieee International Conference On Fuzzy Systems. 2: 610-613. |
0.664 |
|
| 2001 |
Gaweda AE, Zurada JM. Equivalence between neural networks and fuzzy systems Proceedings of the International Joint Conference On Neural Networks. 2: 1334-1339. |
0.678 |
|
| 2001 |
Gaweda AE, Zurada JM, Setiono R. Input selection in data-driven fuzzy modeling Ieee International Conference On Fuzzy Systems. 3: 1251-1254. |
0.65 |
|
| 2000 |
Wachowiak MP, Elmaghraby AS, Smolikova R, Zurada JM. Classification and estimation of ultrasound speckle noise with neural networks Proceedings - Ieee International Symposium On Bio-Informatics and Biomedical Engineering, Bibe 2000. 245-252. DOI: 10.1109/BIBE.2000.889614 |
0.761 |
|
| 2000 |
Li Y, Wang J, Zurada JM. Blind extraction of singularly mixed source signals Ieee Transactions On Neural Networks. 11: 1413-1422. DOI: 10.1109/72.883467 |
0.33 |
|
| 1999 |
Creech GL, Zurada JM. Neural network modeling of GaAs IC material and MESFET device characteristics International Journal of Rf and Microwave Computer-Aided Engineering. 9: 241-253. DOI: 10.1002/(Sici)1099-047X(199905)9:3<241::Aid-Mmce8>3.0.Co;2-P |
0.352 |
|
| 1998 |
Miller DA, Zurada JM. A dynamical system perspective of structural learning with forgetting. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 9: 508-15. PMID 18252474 DOI: 10.1109/72.668892 |
0.363 |
|
| 1997 |
Zurada JM, Malinowski A, Usui S. Perturbation method for deleting redundant inputs of perceptron networks Neurocomputing. 14: 177-193. DOI: 10.1016/S0925-2312(96)00031-8 |
0.405 |
|
| 1996 |
Kadah YM, Farag AA, Zurada JM, Badawi AM, Youssef AM. Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images. Ieee Transactions On Medical Imaging. 15: 466-78. PMID 18215928 DOI: 10.1109/42.511750 |
0.36 |
|
| 1996 |
Jankowski S, Lozowski A, Zurada JM. Complex-valued multistate neural associative memory Ieee Transactions On Neural Networks. 7: 1491-1496. DOI: 10.1109/72.548176 |
0.356 |
|
| 1996 |
Zurada JM, Cloete I, Van Der Poel E. Generalized Hopfield networks for associative memories with multi-valued stable states Neurocomputing. 13: 135-149. DOI: 10.1016/0925-2312(96)00086-0 |
0.344 |
|
| 1995 |
Brier ME, Zurada JM, Aronoff GR. Neural Network Predicted Peak and Trough Gentamicin Concentrations Pharmaceutical Research: An Official Journal of the American Association of Pharmaceutical Scientists. 12: 406-412. PMID 7617529 DOI: 10.1023/A:1016260720218 |
0.338 |
|
| 1990 |
Zurada JM, Shen W. Sufficient Condition for Convergence of a Relaxation Algorithm in Actual Single-Layer Neural Networks Ieee Transactions On Neural Networks. 1: 300-303. DOI: 10.1109/72.80268 |
0.361 |
|
| 1989 |
Zurada JM, Kang MJ. Computational circuits using the neural optimization concept International Journal of Electronics. 67: 311-320. DOI: 10.1080/00207218908921084 |
0.362 |
|
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