Hugo de Garis

	2010
70		Hugo de Garis, Chen Xiaoxi, Yang Ye, Chen Shuo, Ben Goertzel, Ruiting Lian: Object/gesture recognition software in the "China Brain Project". IEEE ICCI 2010: 40-45
69		Yingxu Wang, Witold Pedrycz, George Baciu, Ping Chen, Hugo de Garis, Zhongzhi Shi, Guoyin Wang, Patrick Wang, Yiyu Yao: Perspectives on cognitive computing and applications: Summary of plenary Panel I of IEEE ICCI'10. IEEE ICCI 2010: 8-16
68		Hugo de Garis, Ben Goertzel: Guest Editorial: Special issue on artificial brains. Neurocomputing 74(1-3): 1-2 (2010)
67		Hugo de Garis, Shuo Chen, Ben Goertzel, Ruiting Lian: A world survey of artificial brain projects, Part I: Large-scale brain simulations. Neurocomputing 74(1-3): 3-29 (2010)
66		Ben Goertzel, Ruiting Lian, Itamar Arel, Hugo de Garis, Shuo Chen: A world survey of artificial brain projects, Part II: Biologically inspired cognitive architectures. Neurocomputing 74(1-3): 30-49 (2010)
	2009
65		Hugo de Garis, Ben Goertzel: Report on the First Conference on Artificial General Intelligence (AGI-08). AI Magazine 30(1): 121-123 (2009)
64		Hugo de Garis, Ben Goertzel: Report on the 2nd International Conference on Artificial General Intelligence (AGI-09). AI Magazine 30(4): 115-116 (2009)
	2008
63		Hugo de Garis, Jian Yu Tang, Zhiyong Huang, Lu Bai, Cong Chen, Shuo Chen, Junfei Guo, Xianjin Tan, Hao Tian, Xiaohan Tian, Xianjian Wu, Ye Xiong, Xiangqian Yu, Di Huang: The China-Brain Project: Building China's Artificial Brain Using an Evolved Neural Net Module Approach. AGI 2008: 107-121
62		Hugo de Garis: The Artilect War: Cosmists vs. Terrans. A Bitter Controversy Concerning Whether Humanity Should Build Godlike Massively Intelligent Machines. AGI 2008: 437-447
61		Hugo de Garis, Jian Yu Tang, Zhiyong Huang, Lu Bai, Cong Chen, Shuo Chen, Junfei Guo, Xianjin Tan, Tian Hao, Xiaohan Tian, Xianjian Wu, Ye Xiong, Yu Xianggian, Di Huang: The "China-brain" project A four year, 3 million RMB project to build a 15, 000 evolved neural net module artificial brain in China. IEEE Congress on Evolutionary Computation 2008: 503-510
60		Hugo de Garis: Artificial Brains: An Evolved Neural Net Module Approach. Computational Intelligence: A Compendium 2008: 797-848
	2007
59		Hugo de Garis, Jian Yu Tang, Di Huang: Artificial Brains - A Cheap Method for Speeding the Evolution of Neural Network Modules for Artificial Brain Building. IJCNN 2007: 2835-2839
58		Hui Shi, Sanyou Y. Zeng, Hui Wang, Gang Liu, Guang Chen, Hugo de Garis, Lishan Kang: A Novel Lower-Dimensional-Search Algorithm for Numerical Optimization. ISICA 2007: 214-223
	2006
57		Hugo de Garis: Hardware Accelerators for Evolving Building Block Modules for Artificial Brains. AHS 2006: 222-224
56		Sanyou Y. Zeng, Rui Wang, Hui Shi, Guang Chen, Hugo de Garis, Lishan Kang, Lixin X. Ding: Both robust computation and mutation operation in dynamic evolutionary algorithm are based on orthogonal design. GECCO 2006: 1437-1438
	2005
55		Sanyou Y. Zeng, Hugo de Garis, Jun He, Lishan Kang: A novel evolutionary algorithm based on an orthogonal design for dynamic optimization problems (ODEA). Congress on Evolutionary Computation 2005: 1188-1195
54		Hugo de Garis, Thayne Batty, Wang Ce: FemtoComputing: New Architectural Ideas for Procedural and Evolutionary Computers Whose Components Switch in Femto-Seconds. Evolvable Hardware 2005: 301-306
53		Hugo de Garis: Conference Review: Evolvable Hardware 2005. Evolutionary Computation 13(4): 545-550 (2005)
	2004
52		Hugo de Garis, Thayne Batty: The Evolution of Robust, Reversible, Nano-Scale, Femto-Second-Switching Circuits. Evolvable Hardware 2004: 291-297
51		Hugo de Garis, Thayne Batty: Why Do Machine Learning Based Techniques Fail to Accelerate the Evolution of Neural Networks? KES 2004: 905-913
50		Hugo de Garis: Introduction to Evolutionary Computing. Evolutionary Computation 12(2): 269-271 (2004)
49		Hugo de Garis: Conference Review: Evolvable Hardware 2004. The 2004 NASA/DoD Conference on Evolvable Hardware. Ricardo S. Zebulum, David Gwaltney, Gregory Hornby, Didier Keymeulen, Jason Lohn, Adrian Stoica, eds., Seattle, Washington, USA. IEEE Computer Society Press, 2004, ISBN 0-7695-2145-2, pp 352). Evolutionary Computation 12(3): 397-402 (2004)
48		Zhuo Kang, Li Yan, Hugo de Garis, David Evans, Lishan Kang: Multi-modal function optimization with the ZEDS (zoomed evolutionary dual strategy) algorithmzoomed evolutionary algorithm. Int. J. Comput. Math. 81(6): 675-684 (2004)
47		Jonathan Dinerstein, Parris K. Egbert, Hugo de Garis, Nelson Dinerstein: Fast and learnable behavioral and cognitive modeling for virtual character animation. Journal of Visualization and Computer Animation 15(2): 95-108 (2004)
	2003
46		Jonathan Dinerstein, Nelson Dinerstein, Hugo de Garis: Automatic Multi-Module Neural Network Evolution in an Artificial Brain. Evolvable Hardware 2003: 283-286
45		Hugo de Garis, Amit Gaur, Ravichandra Sriram: Quantum versus Evolutionary Systems. Total versus Sampled Search. ICES 2003: 457-465
44		Hugo de Garis, Ravichandra Sriram: Building Artificial Brains at Universities Using a Purely Software Based Approach. MLMTA 2003: 192-196
	2002
43		Hugo de Garis, Jonathan Dinerstein, Ravichandra Sriram: Reversible Evolvable Networks: A Reversible Evolvable Boolean Network Architecture and Methodology to Overcome the Heat Generation Problem in Molecular Scale Brain Building. Evolvable Hardware 2002: 274-275
42		Jonathan Dinerstein, Hugo de Garis: "TiPo" - A "Timed Pointer" Neural Net Model with Superior Evolvabilities for Implementation in a Second-Generation Brain-Building Machine BM. Evolvable Hardware 2002: 276-278
41		Lishan Kang, Zhou Kang, Yan Li, Hugo de Garis: A Two Level Evolutionary Modeling System For Financial Data. GECCO 2002: 1113-1118
40		Sabra Dinerstein, Jonathan Dinerstein, Hugo de Garis, Nelson Dinerstein: A Data Streaming Approach to Pattern Recognition with Evolvable Neural Networks. GECCO Late Breaking Papers 2002: 104-108
39		Hugo de Garis, Jonathan Dinerstein, Ravichandra Sriram: A Reversible Evolvable Network Architecture and Methodology to Overcome the Heat Generation Problem in Molecular Scale Brain Building. GECCO Late Breaking Papers 2002: 83-90
38		Jonathan Dinerstein, Hugo de Garis, Sabra Dinerstein, Nelson Dinerstein: TiPo - A New Dynamic Neural Net Model for Implementation in a Brain Building Machine. GECCO Late Breaking Papers 2002: 99-103
37		Yan Li, Lishan Kang, Hugo de Garis, Zhuo Kang, Pu Liu: A Robust Algorithm for Solving Nonlinear Programming Problems. Int. J. Comput. Math. 79(5): 523-536 (2002)
36		Pu Liu, Lishan Kang, Hugo de Garis, Yuping Chen: An asynchronous parallel evolutionary algorithm (APEA) for solving complex non-linear real world optimization problems. Neural Parallel & Scientific Comp. 10: 179-188 (2002)
35		Hugo de Garis: Special issue on Evolutionary Neural Systems. Neurocomputing 42(1-4): 1-8 (2002)
34		Hugo de Garis, Michael Korkin: The CAM-Brain Machine (CBM): an FPGA-based hardware tool that evolves a 1000 neuron-net circuit module in seconds and updates a 75 million neuron artificial brain for real-time robot control. Neurocomputing 42(1-4): 35-68 (2002)
	2001
33		Hugo de Garis, Leo de Penning, Andrzej Buller, Derek Decesare: Early Experiments On The Cam-Brain Machine (Cbm). Evolvable Hardware 2001: 211-222
32		Hugo de Garis, Andrzej Buller, Leo de Penning, Tomasz Chodakowski, Derek Decesare: Initial Evolution Results on CAM-Brain Machines (CBMs). ICANN 2001: 814-819
31		Hugo de Garis, Michael Korkin, Gary Fehr: The CAM-Brain Machine (CBM): An FPGA Based Tool for Evolving a 75 Million Neuron Artificial Brain to Control a Lifesized Kitten Robot. Auton. Robots 10(3): 235-249 (2001)
30		Hugo de Garis: The second NASA/DoD workshop on evolvable hardware. IEEE Trans. Evolutionary Computation 5(3): 298-302 (2001)
	2000
29		Hugo de Garis, Andrzej Buller, Thierry Dob, Jean Honlet, Padma Guttikonda, Derek Decesare: Building Multimodule Systems with Unlimited Evolvable Capacities from Modules with Limited Evolvable Capacities (MECs). Evolvable Hardware 2000: 225-236
28		Hugo de Garis, Michael Korkin, Padma Guttikonda, Donald H. Cooley: Simulating the Evolution of 2D Pattern Recognition on the CAM-Brain Machine, an Evolvable Hardware Tool for Building a 75 Million Neuron Artificial Brain. IJCNN (6) 2000: 606-612
27		Hongqing Cao, Lishan Kang, Tao Guo, Yuping Chen, Hugo de Garis: A two-level hybrid evolutionary algorithm for modeling one-dimensional dynamic systems by higher-order ODE models. IEEE Transactions on Systems, Man, and Cybernetics, Part B 30(2): 351-357 (2000)
26		Hugo de Garis, Michael Korkin: The CAM-Brain Machine (CBM): Real Time Evolution and Update of a 75 Million Neuron FPGA-Based Artificial Brain. VLSI Signal Processing 24(2-3): 241-262 (2000)
	1999
25		Hugo de Garis, Norberto Eiji Nawa, Andrzej Buller, Michael Korkin, Felix A. Gers, Michael Hough: ATR's Artificial Brain ("Cam-Brain") Project a Sample of what Individual "CoDi-1Bit" Model Evolved Neural Net Modules can do with Digital and Analog I/O. Evolvable Hardware 1999: 102-110
24		Hugo de Garis, Andrzej Buller, Michael Korkin, Felix A. Gers, Norberto Eiji Nawa, Michael Hough: ATR's Artificial Brain ("CAM-Brain") Project: A Sample of What Individual "CoDi-1Bit" Model Evolved Neural Net Modules Can Do with Digital and Analog I/O. GECCO 1999: 1233
23		Hugo de Garis: Proceedings of the first NASD/DoD workshop on evolvable hardware. IEEE Trans. Evolutionary Computation 3(4): 304-306 (1999)
	1998
22		Michael Korkin, Norberto Eiji Nawa, Hugo de Garis: A ``Spike Interval Information Coding'' Representation for ATR's CAM-Brain Machine (CBM). ICES 1998: 256-267
21		Norberto Eiji Nawa, Michael Korkin, Hugo de Garis: Digital Spikes: Information Representation in ATR's CAM-Brain Machine. ICONIP 1998: 93-96
	1997
20		Felix A. Gers, Hugo de Garis, Michael Korkin: CoDi-1Bit: A Simplified Cellular Automata Based Neuron Model. Artificial Evolution 1997: 315-334
19		Hugo de Garis, Lishan Kang, Qiming He, Zhengjun Pan, Masahiro Ootani, Edmund M. A. Ronald: Million Module Neural Systems Evolution - The Next Step in ATR's Billion Neuron Artificial Brain (``CAM-Brain'') Project. Artificial Evolution 1997: 335-347
	1996
18		Felix A. Gers, Hugo de Garis: CAM-Brain: A New Model for ATR's Cellular Automata Based Artificial Brain Project. ICES 1996: 437-452
17		Hugo de Garis: Cam-Brain: ATR's Billion Neuron Artificial Brain Project - A Three Year Progress Report. International Conference on Evolutionary Computation 1996: 886-891
	1995
16		Hitoshi Iba, Taisuke Sato, Hugo de Garis: Temporal Data Processing Using Genetic Programming. ICGA 1995: 279-286
15		Hugo de Garis: "CAM-BRAIN" ATR's Billion Neuron Artificial Brain Project - A Three Year Progress Report. IEEE/Nagoya-University World Wisepersons Workshop 1995: 215-243
14		Hugo de Garis: CAM-BRAIN: The Evolutionary Engineering of a Billion Neuron Artificial Brain by 2001 Which Grows/Evolves at Electronic Speeds Inside a Cellular Automata Machine (CAM). Towards Evolvable Hardware 1995: 76-98
13		Hitoshi Iba, Hugo de Garis, Taisuke Sato: A Numerical Approach to Genetic Programming for System Identification. Evolutionary Computation 3(4): 417-452 (1995)
	1994
12		Hugo de Garis: The Genetic Programming of an Artificial Brain Which Grows/Evolves at Electronic Speeds in a Cellular Automata Machine. International Conference on Evolutionary Computation 1994: 337-339
11		Hitoshi Iba, Taisuke Sato, Hugo de Garis: System Identification Approach to Genetic Programming. International Conference on Evolutionary Computation 1994: 401-406
10		Hitoshi Iba, Hugo de Garis, Taisuke Sato: Genetic Programming with Local Hill-Climbing. PPSN 1994: 302-311
9		Hugo de Garis: An Artificial Brain: ATR's CAM-Brain Project Aims to Build/Evolve an Artificial Brain with a Million Neural Net Modules Inside a Trillion Cell Cellular Automata Machine. New Generation Comput. 12(2): 215-221 (1994)
	1993
8		William M. Spears, Kenneth A. De Jong, Thomas Bäck, David B. Fogel, Hugo de Garis: An Overview of Evolutionary Computation. ECML 1993: 442-459
7		Hitoshi Iba, Takio Kurita, Hugo de Garis, Taisuke Sato: System Identification using Structured Genetic Algorithms. ICGA 1993: 279-286
6		Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisuke Sato: Evolutionary Learning Strategy using Bug-Based Search. IJCAI 1993: 960-966
	1992
5		Hugo de Garis, Hitoshi Iba, Tatsumi Furuya: Differentiable Chromosomes: The Genetic Programming of Switchable Shape-Genes. PPSN 1992: 495-504
	1990
4		Hugo de Garis: Genetic Programming: Evolution of a Time Dependent Neural Network Module which Teaches a Pair of Stick Legs to Walk. ECAI 1990: 204-206
3		Hugo de Garis: Genetic Programming. ML 1990: 132-139
2		Hugo de Garis: Genetic Programming: Artificial Nervous Systems, Artificial Embryos and Embryological Electronics. PPSN 1990: 117-123
	1989
1		Hugo de Garis: What If AI Succeeds? The Rise of the Twenty-First Century Artilect. AI Magazine 10(2): 17-22 (1989)

Coauthor Index

1	Itamar Arel	[66]
2	George Baciu	[69]
3	Thomas Bäck	[8]
4	Lu Bai	[61] [63]
5	Thayne Batty	[51] [52] [54]
6	Andrzej Buller	[24] [25] [29] [32] [33]
7	Hongqing Cao	[27]
8	Wang Ce	[54]
9	Cong Chen	[61] [63]
10	Guang Chen	[56] [58]
11	Ping Chen	[69]
12	Shuo Chen	[61] [63] [66] [67]
13	Yuping Chen	[27] [36]
14	Tomasz Chodakowski	[32]
15	Donald H. Cooley	[28]
16	Derek Decesare	[29] [32] [33]
17	Jonathan Dinerstein	[38] [39] [40] [42] [43] [46] [47]
18	Nelson Dinerstein	[38] [40] [46] [47]
19	Sabra Dinerstein	[38] [40]
20	Lixin X. Ding	[56]
21	Thierry Dob	[29]
22	Parris K. Egbert	[47]
23	David Evans	[48]
24	Gary Fehr	[31]
25	David B. Fogel	[8]
26	Tatsumi Furuya	[5]
27	Amit Gaur	[45]
28	Felix A. Gers	[18] [20] [24] [25]
29	Ben Goertzel	[64] [65] [66] [67] [68] [70]
30	Junfei Guo	[61] [63]
31	Tao Guo	[27]
32	Padma Guttikonda	[28] [29]
33	Tian Hao	[61]
34	Jun He	[55]
35	Qiming He	[19]
36	Tetsuya Higuchi	[6]
37	Jean Honlet	[29]
38	Michael Hough	[24] [25]
39	Di Huang	[59] [61] [63]
40	Zhiyong Huang	[61] [63]
41	Hitoshi Iba	[5] [6] [7] [10] [11] [13] [16]
42	Kenneth A. De Jong	[8]
43	Lishan Kang	[19] [27] [36] [37] [41] [48] [55] [56] [58]
44	Zhou Kang	[41]
45	Zhuo Kang	[37] [48]
46	Michael Korkin	[20] [21] [22] [24] [25] [26] [28] [31] [34]
47	Takio Kurita	[7]
48	Yan Li	[37] [41]
49	Ruiting Lian	[66] [67] [70]
50	Gang Liu	[58]
51	Pu Liu	[36] [37]
52	Norberto Eiji Nawa	[21] [22] [24] [25]
53	Masahiro Ootani	[19]
54	Zhengjun Pan	[19]
55	Witold Pedrycz	[69]
56	Leo de Penning	[32] [33]
57	Edmund M. A. Ronald	[19]
58	Taisuke Sato	[6] [7] [10] [11] [13] [16]
59	Hui Shi	[56] [58]
60	Zhongzhi Shi	[69]
61	Chen Shuo	[70]
62	William M. Spears	[8]
63	Ravichandra Sriram	[39] [43] [44] [45]
64	Xianjin Tan	[61] [63]
65	Jian Yu Tang	[59] [61] [63]
66	Hao Tian	[63]
67	Xiaohan Tian	[61] [63]
68	Guoyin Wang	[69]
69	Patrick Wang	[69]
70	Rui Wang	[56]
71	Yingxu Wang	[69]
72	Hui Wang	[58]
73	Xianjian Wu	[61] [63]
74	Yu Xianggian	[61]
75	Chen Xiaoxi	[70]
76	Ye Xiong	[61] [63]
77	Li Yan	[48]
78	Yiyu Yao (Y. Y. Yao)	[69]
79	Yang Ye	[70]
80	Xiangqian Yu	[63]
81	Sanyou Y. Zeng	[55] [56] [58]

Colors in the list of coauthors

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