Y. Liu, J. A. Starzyk, Z. Zhu, “Optimized Approximation Algorithm in Neural Network without Overfitting”, to be published in IEEE Trans. on Neural Networks, vol. 19, no. 2, March 2008.

J. A. Starzyk, and H. He, “Anticipation-Based Temporal Sequences Learning in Hierarchical Structure”, IEEE Trans. on Neural Networks, vol. 18,  no. 2,  March 2007, pp. 344 – 358.

J. A. Starzyk and H. He, “A Novel Low Power Logic Circuit Design Scheme,” IEEE Trans. Circuits Syst. II, vol. 54, no. 2, pp.176-180, Feb. 2007.

J. A. Starzyk, H. He, and Y. Li, “A Hierarchical Self-organizing Associative Memory for Machine Learning”, Lecture Notes in Computer Science 4491: pp. 413-423, 2007.

J. A. Starzyk, Y. Liu, D. Vogel, ”Sparse Coding in Sparse Winner Networks”, Lecture Notes in Computer Science 4492: pp. 534-541, 2007.

Z. Zhu, H. He, J.A. Starzyk, and C. Tseng “Self-Organizing Learning Array and its Application to Economic and Financial Problems” Elsevier Science, Information Sciences, vol. 177, no 5, 1 March 2007, Pages 1180-1192.

J. A. Starzyk, M. Ding, Y. Liu, ”Hybrid Pipeline Structure for Self-Organizing Learning Array”, Lecture Notes in Computer Science, 2007.

H. He, and J. A. Starzyk, “Online Dynamic Value System for Machine Learning”, Lecture Notes in Computer Science 4491: pp. 441-448, 2007.

J. A. Starzyk, Z. Zhu, and Y. Li, "Associative Learning in Hierarchical Self Organizing Learning Arrays“, IEEE Trans. Neural Networks, vol.17, no. 6, pp.1460-1470, Nov. 2006.

H. He and J. A. Starzyk, "A Self Organizing Learning Array System for Power Quality Classification based on Wavelet Transform", IEEE Trans. on Power Delivery, Jan. 2006.

J. A. Starzyk, Z. Zhu and T.-H. Liu "Self-Organizing Learning Array" IEEE Trans. on Neural Networks, vol. 16, no. 2, pp. 355-363, March 2005.  

J. A. Starzyk, Z. Zhu, and Y. Li, "Associative Learning in Hierarchical Self Organizing Learning Arrays", Artificial Neural Networks: Biological Inspirations. Lecture Notes in Computer Science 3696: pp. 91-96, 2005.

Janusz A. Starzyk, and Yue Li, David D. Vogel, "Neural Network with Memory and Cognitive Functions", Artificial Neural Networks: Biological Inspirations. Lecture Notes in Computer Science 3696: pp. 85-90, 2005.

J. A. Starzyk and F. Wang, "Dynamic Probability Estimator for Machine Learning" IEEE Trans. on Neural Networks, vol.15, no 2, March 2004, pp.298-308.  

D. E. Nelson, J. A. Starzyk, and D. D. Ensley, "Iterated wavelet transformation and signal discrimination for HRR radar target recognition",  IEEE Trans. on Systems, Man and Cybernetics, Part A  ,Vol. 33 , no.1 , Jan. 2003 , pp. 52 - 57.

J. A. Starzyk, D. E. Nelson, and K. Sturtz, " A Mathematical Foundation for Improved Reduct Generation in Information Systems", Journal of Knowledge and Information Systems, v. 2 n. 2, March 2000 p.131-146.

J. A. Starzyk, D. E. Nelson, and K. Sturtz, "Reduct Generation in Information Systems", Bulletin of International Rough Set Society, 1999, 3 (1/2).

J. A. Starzyk and X. Fang, "A CMOS Current Mode Winner-Take-All Circuit with both Excitatory and Inhibitory Feedback", Electronics Letters, 1993.

J. Starzyk and Z. Zhu, "Software Simulation of a Self-Organizing Learning Array System", The 6th IASTED Int. Conf. Artificial Intelligence & Soft Comp.(ASC 2002), July 17-19, 2002, Banff, Alberta, Canada.

J. A. Starzyk Y. Guo, "A Self Organized Classifier Based on Maximum Information Index and its Develpoment Using VHDL", 2002 IEEE Int. Symposium on Intelligent Signal Processing and Communication Systems, 21-24 November 2002, Kaohsiung, Taiwan, R.O.C. 2002.

J. A. Starzyk and L. Jing, "Analog Circuits for Self Organizing Neural Networks Based on Mutual Information" Proc. Southeastern Symposium on System Theory, (Athens, OH, 2001).

Y. Zeng and J. A. Starzyk, "Statistical Approach for Clustering in Pattern Recognition" Proc. Southeastern Symposium on System Theory, (Athens, OH, 2001).

D. E. Nelson and J. A. Starzyk, "High Range Resolution Radar Signal Classification: A Partitioned Rough Set Approach" Proc. Southeastern Symposium on System Theory, (Athens, OH, 2001).

J. A. Starzyk and Y. Guo, "An Entropy-based Learning Hardware Organization Using FPGA" Proc. Southeastern Symposium on System Theory, (Athens, OH, 2001).

D. E. Nelson and J. A. Starzyk, "High Range Resolution Radar - Extensions to Rough Set Theory for Automatic Target Recognition", SPIE 15th Annual Int. Symp. on Aerospace/Defense Sensing Simulation and Controls, (Orlando FL, April 2001) Best Paper award.

J. A. Starzyk and Y. Guo, "Reconfigurable Self-Organizing NN Design Using Virtex FPGA", Proc. Int. Conf. on Engineering of Reconfigurable Systems and Algorithms (ERSA) (Las Vegas, NV, June 2001).

X. S. Song and J. A. Starzyk, "Feature Selection using Mutual Information and Statistical Techniques", MILCOM 2001 Security Conference.

Y. Zeng and J. Starzyk, "Piecewise Linear Approach: a New Approach in Automatic Target Recognition," SPIE 14th Annual Int. Symp. on Aerospace/Defense Sensing Simulation and Controls, (Orlando FL, April 2000).

D. E. Nelson and J. A. Starzyk "Fusing Marginal Reducts for HRR Target Identification" 4th World Multi-Conference on Systems, Cybernetics and Informatics (SCI2000), (Orlando, Florida, July 2000), pp. 452-460 Best Paper award.

J. Starzyk and J. Pang, "Evolvable Binary Artificial Neural Network for Data Classification", the 2000 Int. Conf. on Parallel and Distributed Processing Techniques and Apllications, (Las Vegas, NV, June 2000).

J. A. Starzyk, D. E. Nelson, and K. Sturtz, "Reduct Generation in Information Systems", The Sixth Int. Workshop on Rough Sets, Data Mining and Granular Computing, at JCIS'98, (Research Triangle Park, NC), Oct. 1998.

D. E. Nelson and J. A. Starzyk, "Advanced Feature Selection Methodology for Automatic Target Recognition", Proc. Southeastern Symposium on System Theory, (Coolville, TN, 1997).

J. A. Starzyk and M. El-Gamal, "Artificial Neural Network for Testing Analog Circuits", Proc. IEEE Int. Symp. Circuits and Systems (New Orleans, LA, 1990).

J. A. Starzyk and X. Wu, "Approximation Using Linear Fitting Neural Network", Proc. Artificial Neural Networks in Engineering Conf. (St. Louis, MO, 1991).

J. A. Starzyk, "Neural Networks in Analog Fault Diagnosis", VII Riunione Annuale Dei Ricercatori, (Trani, Italy, 1991).

J. A. Starzyk and N. Ansari, "Feedforward Neural Network for Handwritten Character Recognition", Proc. IEEE Int. Symp. Circuits and Systems (San Diego, CA, 1992).

J. A. Starzyk and S.K. Chai, "Vector Contour Representation for Object Recognition in Neural Networks", IEEE Int. Conf. Systems, Man, and Cybernetics, (Chicago, IL, 1992).

J. A. Starzyk and N. Ansari, "Distance Field Approach to Handwritten Character Recognition", Proc. Fifth Conf. on Neural Networks and Parallel Distributed Processing, (Fort Wayne, IN, 1992).

X. Fang and J. Starzyk, "A novel winner-take-all circuit", the World Conf. on Neural Networks, (Portland, OR, 1993).

J. A. Starzyk and X. Fang, "System level design of a complex neural network for target recognition", IEEE Int. Conf. on Neural Network Applications to Signal Processing, (Singapore, 1993).

X. Fang and J. A. Starzyk, "VLSI design of neural network based image processor", Proc. Southeastern Symposium on System Theory, (Athens, OH, 1994).

J. A. Starzyk and Y-W. Jan, "Algorithm and architecture for feature extraction in image processong", Proc. Southeastern Symposium on System Theory, (Athens, OH, 1994).

J. A. Starzyk and S. Chai, "Supervised learning with potentials for neural network- based object recognition", Proc. Southeastern Symposium on System Theory, (Athens, OH, 1994).

J. A. Starzyk and S. Chai, "Object representation using Fourier descriptors in pattern classification", Proc. Artificial Neural Networks in Engineering Conf. (St. Louis, MO, 1995).

J. A. Starzyk and Ying-Wei Jan, "Low Power Voltage Based Winner Takes All Circuit for Analog Neural Networks", OAI Neural Network Symposium, (Athens, OH, 1995).

J. A. Starzyk and Xingyuan Lee, "Rapid Object Identification Based on Fourier Descriptors", OAI Neural Network Symposium, (Athens, OH, 1995).

J. A. Starzyk and Ying-Wei Jan, "A Voltage Based Winner Takes All Circuit for Analog Neural Networks", Proc. Midwest Symp. on Circuits and Systems (Ames, Iowa, 1996).

J. A. Starzyk and D. Nelson, "Independent Classifiers in Ontogenic Neural Networks for ATR", Adaptive Distributed Parallel Computing Symposium (Fairborn, OH, 1996)