Conference proceedings and presentations after year
2000
23. J.
A. Starzyk, and P. Raif, “Cognitive
Agent and its Implementation in the Blender Game Engine Environment” IEEE
Symposium Series on Computational Intelligence, Singapore, 16-19 April, 2013.
24. J.
Graham, and J. A. Starzyk, “Transitioning
From Motivated to Cognitive Agent Model” IEEE Symposium Series on
Computational Intelligence, Singapore, 16-19 April, 2013.
25. Vu-Anh Nguyen, Janusz A. Starzyk and Wooi-Boon
Goh, “Sequence
Recognition with Spatio-Temporal Long-Term Memory
Organization”, Int. Joint Conf. on Neural Networks, Brisbane, Australia, June
10-15, 2012.
26. Basawaraj, J. A.
Starzyk, and M. Jaszuk,
” A Question Answer Approach to Building Semantic Memory“, 11th Int. Conf.
on Artificial Intelligence and Soft Computing, Zakopane,Poland, Apr 29, May 3, 2012.
27. X.
Xu, J. Graham, Basawaraj, J.J. Zhu, J.A. Starzyk, P.
Zhang, “A Biopsychically Inspired Cognitive System for Intelligent Entomopters” in AIAA Infotech
@Aerospace 2012 Conference. Garden Grove, CA USA. 19 - 21 June 2012.
28. J.
Graham, J. A. Starzyk, D. Jachyra, “Opportunistic
Motivated Learning Agents”, 11th Int. Conf. on Artificial Intelligence and
Soft Computing, Zakopane,Poland,
LNCS 7268, Apr 29-May 3, pp. 442-449, 2012.
29. J.A.
Starzyk, “Mental
Saccades in Control of Cognitive Process”, Int. Joint Conf. on Neural
Networks, San Jose, CA, July 31 - August 5, 2011.
30. J.A.
Starzyk, P. Raif, “Motivated
Learning in Autonomous Systems”, Int. Joint Conf. on Neural Networks, San
Jose, CA, July 31 - August 5, 2011.
31. S.
Carpenter, X. Yu, M. Altun, J. Graham, J. J. Zhu, J.
A. Starzyk, “Vision
Guided Motion Control of a Biomimetic Elastic Cable Driven Quadruped Robot -The
RoboCat” IMECE, Int. Mechanical Engineering
Congress., Denver, CO, Nov. 11-17, 2011.
32. D.
K. Prasad, and J. A. Starzyk, “Object detection and
representation in motivated conscious”, Decade of the Mind VI Conf.,
Singapore, Oct. 18-22, 2010.
33. P.
Moghadam, J. A. Starzyk, and W. S. Wijesoma, “Computational
model of driver gaze direction”, Decade of the Mind VI Conf., Singapore,
Oct. 18-22, 2010.
34. D.
K. Prasad, and J. A. Starzyk, “A
Perspective on Machine Consciousness”, The Second Int. Conf. on Advanced
Cognitive Technologies and Applications, Lisbon, Portugal, Nov. 21-26, 2010.
35. J.A.
Starzyk, P. Raif, and A.-H. Tan, “Mental
Development and Representation Building through Motivated Learning” , WCCI
2010 - Special Session on Mental Architecture and Representation, Barcelona,
Spain, July 18-23, 2010.
36. J.
A. Starzyk and D. Prasad, “Machine
Consciousness: A Computational Model” Third International ICSC Symposium on
Models of Consciousness, BICS 2010, Madrid, Spain, 14-16 July, 2010.
37. W.
Wang, B. Subagdja, A.-H. Tan, and J.A. Starzyk, “A
Self-Organizing Approach to Episodic Memory Modeling”, The 2010 IEEE World
Congress on Computational Intelligence, Barcelona, Spain, July 18-23, 2010.
38. V.
A. Nguyen, J. A. Starzyk, A. L. P. Tay and W. B. Goh,
“Spatio-Temporal
Sequence Learning of Visual Place Cells for Robotic Navigation”, The
2010 IEEE World Congress on Computational Intelligence, Barcelona, Spain, July
18-23, 2010.
39. 15. J.A. Starzyk, “Water Resource Planning and
Management using Motivated Machine Learning”, 10th Kovacs Colloquium UNESCO, Hydrocomplexity: New Tools for Solving Wicked Water, Paris,
France, July 2010, pp 214-220.
40. J.
A. Starzyk, P. Raif, A.-H. Tan, “Motivated
Learning as an Extension of Reinforcement Learning”, 4th Int. Conf. on
Cognitive Systems, ETH Zurich, Switzerland, Jan. 27-28, 2010.
41. J.
A. Starzyk and Basawaraj, “Self Organizing
Neural Network for Question Answering“ Thirteenth International Conference on Cognitive and
Neural Systems (ICCNS), Boston University, May 27-30, 2009.
42. J.
A. Starzyk and J. Graham “A Goal Creation System With Curiosity” Thirteenth International
Conference on Cognitive and Neural Systems (ICCNS), Boston University, May
27-30, 2009.
43. J.
A. Starzyk, Xinming Yu, “Correlation-based neural
network for active vision” Thirteenth International Conference on Cognitive and
Neural Systems (ICCNS), Boston University, May 27-30, 2009.
44. J.
A. Starzyk, P. Raif, “Motivated Learning Based On
Goal Creation in Cognitive Systems” Thirteenth International Conference on Cognitive
and Neural Systems (ICCNS), Boston University, May 27-30, 2009.
45. J.A.
Starzyk, “Motivated Machine Learning for Water Resource Management”, Workshop
on Integrated Modelling Approaches to Support Water Resource Decision Making:
Crossing the Chasm, UNESCO-Paris, 20-21 April 2009.
46. J.
A. Starzyk and Basawaraj, “Hierarchical
Neural Network for Text Based Learning”, Twelfth International Conference on
Cognitive and Neural Systems (ICCNS), Boston University, May 14-17, 2008.
47. J.
Graham and J. A. Starzyk, “Self-Organizing Hierarchical Neural Network with
Correlation Based Sparse Connections”, Twelfth International Conference on
Cognitive and Neural Systems (ICCNS), Boston University, May 14-17, 2008.
48. J.
A. Starzyk, Yinyin Liu, “Attention aided perception
in sparse-coding networks”, Twelfth International Conference on Cognitive and
Neural Systems (ICCNS), Boston University, May 14-17, 2008.
49. J.
A. Starzyk, Xinming Yu, “Active vision system for
embodied intelligence based on retina sampling model”, Twelfth International
Conference on Cognitive and Neural Systems (ICCNS), Boston University, May
14-17, 2008.
50. J.
Graham and J. A. Starzyk, “A
Hybrid Self-organizing Neural Gas Based Network”, IEEE World Congress on
Computational Intelligence, Hong Kong, June 2008.
51. H.
He, S. Chen, Y.
Cao, and J. A. Starzyk, “Incremental
Learning for Machine Intelligence”, Twelfth International Conference on
Cognitive and Neural Systems (ICCNS), Boston University, May 14-17, 2008.
52. Y.
Liu, J. A. Starzyk, and Z. Zhu, “Optimizing
number of hidden neurons in neural networks”, Proc. Int. Conf. Artificial
Intelligence and Applications, AIA’2007, Innsbruck, Austria, Feb. 12 – 14,
2007.
53. J.
A. Starzyk, Y. Liu, “Hierarchical
spatio-temporal memory for machine learning based on
laminar minicolumn structure,” Eleventh International Conf. on Cognitive
and Neural Systems, Boston University, May 16-19, 2007.
54. J.A.Starzyk, Yinyin Liu, and Haibo He, “Challenges
of Embodied Intelligence”, Proc. Int. Conf. on Signals and Electronic
Systems, ICSES'06, Lodz, Poland, Sep. 17-20, 2006.
55. S.
Kaya, H. Hamed and J. A. Starzyk, “Low-Power
Tuneable Analog Circuit Blocks Based on Nanoscale
Dual-Gate MOSFETs”, 6th IEEE Conf. on Nanotechnology – IEEE Nano 2006,
16-20 July, 2006, Cincinnati, OH, USA.
56. S.
Kaya, H. Hamed and J. A. Starzyk, “Compact
Tunable Current-Mode Analog Circuits Using DGMOSFETs”, IEEE Int. SOI Conf.
Oct. 2–5, 2006, Niagara Falls, NY.
57. J.A.Starzyk,
M. Ding, H. He, "Optimized
Interconnections in Probabilistic Self-Organizing Learning", Proc.
IASTED Int. Conf. on Artificial Intelligence and Applications, Innsbruck,
Austria, Feb. 14-16, 2005.
58. J.
A. Starzyk, Y. Guo, and Z. Zhu, ”Dynamically Reconfigurable
Neuron Architecture for the Implementation of Self-Organizing Learning Array”,
Proc. 18th Int. Parallel and Distributed Processing Symposium, Santa Fe, New
Mexico, April 26– 30, 2004.
59. H.
He, J. A. Starzyk, "DesignPower
Quality Disturbances Analysis based on Wavelet Multiresolution Decomposition",
American Mathematical Society (AMS) Conf., Ohio University, Athens, OH, March
26-27, 2004.
60. J.
A. Starzyk, Y. Guo, Z. Zhu, “SOLAR and its hardware
development", Proc.
Computational Intelligence and Natural Computing, 2003 (CINC’03), 2003, Cary, North Carolina USA , Sept. 26-30,
2003.
61. J.
A. Starzyk, Zhen Zhu, H. He and Zhineng Zhu, "Self-Organizing Learning
Array and Its Application to Economic and Financial Problems,
"Proc. Joint Conference on
Information Systems, 2003, Cary, North Carolina USA, Sept. 26-30, 2003.
62. J.
A. Starzyk and T.-H. Liu, “Design of a
Self-Organizing Learning Array System”, Proc. IEEE Int. Symposium on
Circuits and Systems, May 26-29, Bangkok, Thailand, 2003.
63. J.
A. Starzyk and R. Mohn, “Cost-Oriented
Design of a 14-bit Current Steering DAC Macrocell”,Proc.
IEEE Int. Symposium on Circuits and Systems, May 26-29, Bangkok, Thailand,
2003.
64. Alaqeeli, J. A.
Starzyk, F. van Graas, “Real
Time Acquisition and Tracking for GPS Receiver”, Proc. IEEE Int. Symposium
on Circuits and Systems, May 26-29, Bangkok, Thailand, 2003.
65. J.
A. Starzyk, and Y. Guo, “Dynamically
Self-Reconfigurable Machine Learning Structure for FPGA Implementation”
Proc. Int. Conf. on Engineering of Reconfigurable Systems and Algorithms
(ERSA) Las Vegas, Nevada, USA, June 23 -
26, 2003.
66. J.
Pang and J.A. Starzyk, ”Fast
Direct GPS Signal Acquisition Using FPGA”, Proc. (Krakow, Poland, 2003).
67. J.
A. Starzyk, and Y. Guo, “A
Self-Organizing Learning Array and its Hardware-Software Co-Simulation”,
Proc. ECCTD, (Krakow, Poland, 2003).
68. J.
A. Starzyk and D. Liu, "A
Decomposition Method for Analog Fault Location", IEEE Int. Symposium
on Circuits and Systems, May 26-29, Scottsdale, Arizona, 2002.
69. J.
A. Starzyk and D. Liu, "Locating
Stuck-at Faults in Analog Circuits", IEEE Int. Symposium on Circuits
and Systems, May 26-29, Scottsdale, Arizona, 2002.
70. 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.
71. J.
Pang, J. A. Starzyk, "P-code Generator
FPGA Design for Direct GPS P(Y)-Code Acquisition", 12th International
Conference on Field Programmable Logic and Applications (FPLA), 2002.
72. M.
Ding, A. Alsolaim, and J. Starzyk, "Designing and
Mapping of a Turbo Decoder for 3G Mobile Systems Using Dynamically
Reconfigurable Architecture " Engineering of Reconfigurable Systems
and Algorithms, ERSA'02, The Int. Multi Conference in Computer Science, June
24-27, Las Vegas, Nevada, 2002.
73. 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.
74. J.A.
Starzyk and D. Liu, "A new
approach to multiple fault diagnosis in linear analog circuits,"
Proceeding of the 7th IEEE International Mixed Signal Testing Workshop (IMSTW),
Atlanta, GA, Jun. 2001.
75. 51. J. A. Starzyk* and D. Liu, "A
Method for Multiple Fault Diagnosis in Analog Circuits" Proc.
Southeastern Symposium on System Theory, (Athens, OH, 18-20, March 2001), pp. 65 - 68
76. 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).
77. Y.
Zeng and J. A. Starzyk, "Statistical
Approach for Clustering in Pattern Recognition" Proc. Southeastern
Symposium on System Theory, (Athens, OH, 2001).
78. A.
Alaqeeli and J. A. Starzyk, "Hardware
Implementation of Fast Convolution for GPS Signal Acquisition Using FPGA"
Proc. Southeastern Symposium on System Theory, (Athens, OH, 2001).
79. A.Alsolaim and J. A.
Starzyk, "Dynamically
Reconfigurable Solution in the Digital Baseband Processing for Future Mobile
Radio Devices" Proc. Southeastern Symposium on System Theory, (Athens,
OH, 2001).
80. 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).
81. J.
A. Starzyk and Y. Guo, "An
Entropy-based Learning Hardware Organization Using FPGA" Proc.
Southeastern Symposium on System Theory, (Athens, OH, 2001).
82. J.
A. Starzyk and D. Liu, "Multiple
Fault Diagnosis of Analog Circuits Based on Large Change Sensitivity Analysis"
Proc. ECCTD, (Espoo, Finland, Aug. 2001).
83. 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.
84. J.
A. Starzyk and D. Liu, "Multiple
Fault Diagnosis of Analog Circuits by Locating Ambiguity Groups in Test
Equation", Proc. IEEE Int. Symp. Circuits
and Systems (Sydney, Australia, 2001). 6-9 May 2001, pp. 199 - 202 vol. 5
85. J.
A. Starzyk and Z. Zhu, "Averaging
Correlation for C/A Code Acquisition and Tracking in Frequency Domain",
Proc. Midwest Symp. on Circuits and Systems (Dayton,
OH, Aug. 2001).
86. 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).
87. X.
S. Song and J. A. Starzyk, "Feature
Selection using Mutual Information and Statistical Techniques", Proc.
2001 IEEE Military Communications Conf. (MILCOM’2001), Washington D.C, October
2001.
88. Zhou
Q., Chelberg, D., Zeng Y., and Starzyk, J. “Robust Optical
Flow Estimation Using Invariant Feature”, Proc. Southeastern Symp. on System Theory, (Athens, OH, 2001), Mar 2001, pp. 263 – 267.
89. A.
Alsolaim, J. Becker, M. Glesner,
and J. Starzyk, "A Dynamically Reconfigurable
System-on-a chip Architecture for Future Mobile Digital Signal Processing",
The European Signal Processing Conference EUSIPCO, (Sept. 5 - 8, 2000, Tampere,
Finland).
90. J.
Becker, M. Glesner, A. Alsolaim,
J. Starzyk, "Fast
Communication Mechanisms in Coarse-grained Dynamically Reconfigurable Array
Architectures", the 2000 Int. Conf. on Parallel and Distributed
Processing Techniques and Apllications, (Las Vegas,
NV, June 2000).
91. A.
Alsolaim, J. Becker, M. Glesner,
J. Starzyk. "Dynamically
Reconfigurable Array Architecture for Future Mobile Digital Baseband Processing."
2000 IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM
2000), April 16-19, 2000, Napa Valley, California.
92. 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).
93. J.
Starzyk, J. Pang, "Fault
Diagnosis in Analog and Mixed Mode Low Testability Systems", Proc.
IEEE Int. Symp. Circuits and Systems (Geneva,
Switzerland, 2000).
94. 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.
95. G.
N. Stenbakken, D. Liu J. Starzyk, and B. C. Waltrip, "Nonrandom
Quatization Errors in Timebases",
Proc. IEEE Instrumentation and Measurement Technology Conference (Baltimore, MD
May 2000).
96. 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).