Conference proceedings and presentations after year 2000

 

  1. M. Jaszuk, W. Pałka, M. Furgał, D. Darłak, J. A. Starzyk, Spatial scene representation and navigation in a mobile robot using RGB-D camera, In Robotics: Science and Systems, July 12-16, 2020.
  2. A. Horzyk and J.A. Starzyk, Associative Data Model in Search for Nearest Neighbors and Similar Patterns, In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019), IEEE Xplore, pp. 932-939, 2019.
  3. J. A. Starzyk, R. Niemiec, and A. HorzykFeature Significance in Wide Neural Networks, In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019), IEEE Xplore, pp. 908-915, 2019.
  4. A. Horzyk K. Gołdon, and J. A. Starzyk, Temporal Coding of Neural Stimuli, In: 28th International Conference on Artificial Neural Networks (ICANN 2019), Springer-Verlag, LNCS 11731, pp. 607-621, 2019, DOI: 10.1007/978-3-030-30493-5_56.
  5. A. Horzyk and J. A. Starzyk, “Associative Fine-Tuning of Biologically Inspired Active Neuro-Associative Knowledge Graphs”, IEEE Symposium Series on Computational Intelligence (SSCI 2018), Bengaluru, India, Nov. 18 – 21, 2018, pp. 2068-2075.
  6. P. Orzechowski, A. Horzyk, J. A. Starzyk, and J. H. Moore, “Retrieving Impressions from Semantic Memory Modeled with Associative Pulsing Neural Networks”, IEEE Symposium Series on Computational Intelligence (SSCI 2018), Bengaluru, India, Nov. 18 – 21, 2018, pp. 2060-2067.
  7. A. Horzyk, J. A. Starzyk, “Multi-Class and Multi-Label Classification Using Associative Pulsing Neural Networks”, World Congress on Computational Intelligence, IJCNN 2018, Rio de Janeiro, Brasil, July 2018.
  8. Basawaraj, J.A. Starzyk, A. Horzyk, “Lumped Mini-Column Associative Knowledge Graphs”, IEEE Symposium Series on Computational Intelligence, Honolulu, Hawaii, USA, Nov. 27- Dec.1, 2017.
  9. A. Horzyk, J. A. Starzyk, “Fast Neural Network Adaptation with Associative Pulsing Neurons”, IEEE Symposium Series on Computational Intelligence, Honolulu, Hawaii, USA, Nov. 27- Dec.1, 2017.
  10. A. Horzyk, J.A. Starzyk, Basawaraj, “Emergent creativity in declarative memories”, IEEE Symposium Series on Computational Intelligence, Athens, Greece, Dec. 6-9, 2016.
  11. J. A. Starzyk, J. Graham, A. Horzyk, “Trust in Motivated Learning Agents”, IEEE Symposium Series on Computational Intelligence, Athens, Greece, Dec. 6-9, 2016.
  12. J. Graham, J. A. Starzyk, Z. Ni, H. He, T-H. Teng, and A-H. Tan, “A Comparative Study between Motivated Learning and Reinforcement Learning,” The Int. Joint Conf. on Neural Networks, Killarney, Ireland, July 12 – 17, 2015.
  13. M. Jaszuk. G. Szostek and J. A. Starzyk, “Building 3D Object Representation Using SURF Local Features”, 23rd Int. Conf. on Computer Graphics, Visualization and Computer Vision, Pilsen, Czechy, June 8-12, 2015.
  14. J. A. Starzyk "Visual Saccades for Object Recognition" The 14th Int. Conf. on Artificial Intelligence and Soft Computing , June 14-18, Zakopane, 2015. 
  15. J. Graham, J. A. Starzyk, Z. Ni, and H. He, "Advancing Motivated Learning with Goal Creation", IEEE Symposium Series on Computational Intelligence, Orlando, FL, Dec. 9-12, 2014.
  16. J. A. Starzyk, J. Graham, L. Puzio, "Managing Machine’s Motivations" The 13th International Conference on Artificial Intelligence and Soft Computing, Zakopane, June 2-5, 2014.
  17. T-H. Teng, A-H. Tan, J. A. Starzyk, Y.-S. Tan and L.-N. TeowIntegrating Motivated Learning and k-Winner-Take-All to Coordinate Multi-Agent Reinforcement Learning”, Int. Joint Conf. on Web Intelligence and Intelligent Agent Technology (WI-IAT 2014), August 11-14, 2014, Warsaw, Poland.
  18. T.-H. Teng, A.-H. Tan, J. A. Starzyk, Y.-S. Tan and L.-N. Teow, "Integrating Self-Organizing Neural Network and Motivated Learning for Coordinated Multi-Agent Reinforcement Learning in Multi-Stage Stochastic Game", 2014 Int. Joint Conf. on Neural Networks, Beijing, China, July 6-11, 2014.
  19. X. Xu, J. Graham, Basawaraj, J. J. Zhu, J. A. Starzyk, P. Zhang, “A Cognitive System for the Entomopter - A Flight on Mars”, in AIAA Infotech@Aerospace 2013 Conference. Boston, MA, USA. 19 – 22 Aug. 2013.
  20. M. Jaszuk and J. A. Starzyk, “Building Internal Scene Representation in Cognitive Agents” Int. Conf. on Knowledge, Information and Creativity Support Systems, Krakow, Nov. 7-9, 2013.
  21. J. A. Starzyk, J. Graham, and L. Puzio, “Simulation of a Motivated Learning Agent”, 9th Int. Conf. on Artificial Intelligence Applications and Innovations, Paphos, Cyprus, Sep., 2013.
  22. J. A. Starzyk and Basawaraj, “Comparison of two memristor based neural network learning schemes for crossbar architecture”, Int. Work Conf. on Artificial Neural Networks, Puerto de la Cruz , Tenerife, 12-14 June 2013.

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, ZakopanePoland, 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, ZakopanePoland,  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).