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 Browse by Research Fields, Courses and Disciplines The Research Fields, Courses and Disciplines (Australian Standard Research Classification) is published by the Australian Bureau of Statistics (ABS catalogue number 1297.0) 1998. ABS data is used with permission from the Australian Bureau of Statistics -> 280000 Information, Computing and Communication Sciences -> 280200 Artificial Intelligence and Signal and Image Processing -> 280212 Neural Networks, Genetic Alogrithms and Fuzzy Logic :

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  Abstract Views File Downloads Thomson Reuters Web of Science Citation Count Scopus Citation Count Altmetric Score
Ye, M., Fan, X. Q. and Li, X. (2006) A class of self-stabilizing MCA learning algorithms. IEEE Transactions On Neural Networks, 17 6: 1634-1638. doi:10.1109/TNN.2006.880979 85 2 7 Cited 14 times in Scopus14 0
Geard, N. L., Wiles, J. H., Hallinan, J. S., Tonkes, B. and Skellett, B. (2002). A comparison of neural landscapes: NK, NKp and NKq. In: D. Fogel and M. El-Sharkawi et al., Proceedings of the 2002 Congress on Evolutionary Computation. 2002 Congress on Evolutionary Computation, Hawaii, (205-210). 12-17 May, 2002. 73   6
Advanced Data Mining and Applications 1 ed. Edited by Li, X., Zaiane, R. and Li, Z. Heidelberg, Germany: Springer, 2006. 50  
Geard, Nicholas and Wiles, Janet (2005) A Gene Network Model for Developing Cell Lineages. Artificial Life, 11 3: 249-267. doi:10.1162/1064546054407202 276 874 15 Cited 20 times in Scopus20 3
Gallagher, Marcus and Yuan, Bo (2006) A general-purpose tunable landscape generator. IEEE Transactions On Evolutionary Computation, 10 5: 590-603. doi:10.1109/TEVC.2005.863628 106 4 16 Cited 22 times in Scopus22 0
Xu, Zhao, Dong, Zhao Yang and Wong, Kit Po (2006) A hybrid planning method for transmission networks in a deregulated environment. IEEE Transactions on Power Systems, 21 2: 925-932. doi:10.1109/TPWRS.2006.873134 169 281 16 Cited 30 times in Scopus30 0
Ye, M. and Li, X. (2007) An efficient measure of signal temporal predictability for blind source separation. Neural Processing Letters, 26 1: 57-68. doi:10.1007/s11063-007-9042-0 101   2 Cited 5 times in Scopus5 0
Gallagher, M. R. (2000). An empirical investigation of the user-parameters and performance of continuous PBIL algorithms. In: B. Widrow et al, Neural Networks for Signal Processing X: NNSP 2000. NNSP 2000, Sydney, (702-710). 11-13 December 2000. 73   1
Yeh, Y. and Gallagher, M. R. (2005). An empirical study of Hoelfding Racing for model selction in K-nearest neighbor classification. In: M. Gallagher, J. Hogan and F. Maire, Intelligent Data Engineering and Automated Learning - IDEAL2005: Proceedings of the 6th International Conference. Intelligent Data Engineering and Automated Learning - IDEAL205, Brisbane, Australia, (220-227). 6-8 July, 2005. 64   2
Bray, J., Verma, B,, Li, X. and He, W. (2006). A neural network based technique for automatic classification of road cracks. In: L. Wang, 2006 International Joint Conference on Neural Networks. International Joint conference on Neural Networks 2006 (IJCNN '06), Vancouver, Canada, (907-912). 16-21 July 2006. doi:10.1109/IJCNN.2006.246782 105 3 3 0
Ziemke, T., Carlsson, J. and Boden, M. (1999). An experimental comparison of weight evolution in neural control architectures for a 'Garbage-Collecting' Khepera robot. In: A. Loffler, F. Mondada and U. Ruckert, Proceedings of the 1st International Khepera Workshop. 1st International Khepera Workshop, Paderborn, Germany, (31-40). 10-11 December 1999. 40  
Zhu, J. and Sutton, P. R. (2003). An FPGA Implementation of Kak's Instantaneously-Trained, Fast-Classification Neural Networks. In: K. Asada and M. Fujita, Proceedings of the 2003 IEEE International Conference on Field-Programmable Technology (FPT). The 2003 IEEE International Conference on Field-Programmable Technology (FPT), Tokyo, Japan, (126-133). 15-17 December, 2003. 2718 894
Hryshko, A. and Downs, T. (2003). An implementation of genetic algorithms as a basis for a trading system on the foreign exchange market. In: R. Sarker, R. Reynolds and H. Abbass et al., The 2003 Congress on Evolutionary Computation: CEC 2003. 2003 Congress on Evolutionary Computation (CEC '03), Canberra, Australia, (1695-1701). 8-12 December 2003. doi:10.1109/CEC.2003.1299877 125   2 Cited 7 times in Scopus7 0
Dia, H. F. (1999). An object-oriented neural network approach to short-term traffic forecasting. In: Proceedings of the 11th Mini-EURO conference on artificial intelligence in transportation systems & science, & the 7th EURO-working group meeting on transportation. The 11th Mini-EURO conference on artificial intelligence in transportation systems & science, Helsinki University of Technology, Espoo, Finland, (1-5). 2nd - 6th August, 1999. 82  
Stratton, Peter Gregory (2001). A situated cortical model exhibiting attention, learning ane memory : implications for cognition PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. 105 2
Majewski, H. (2001). A study of feature binding in artificial neural networks with sigmoid and complex activation functions PhD Thesis, School of Computer Science and Electrical Engineering, The University of Queensland. 99  
Hryshko, A. and Downs, T. (2004). A system for electricity trading using genetic algorithm and reinforcement learning. In: G. Walker, Proceedings of the Australasian Universities Power Engineering Conference 2004. The Australasian Universities Power Engineering Conference 2004, Brisbane, (1-7). 26-29 September, 2004. 197  
Gallagher, M. R., Wood, I., Keith, J. and Sofronov, G. (2007). Bayesian inference in estimation of distribution algorithms. In: K. C. Tan, Evolutionary Computation 2007 (CEC 2007). IEEE Congress on Evolutionary Computation (CEC 2007), Singapore, (127-133). 25-28 September 2007. doi:10.1109/CEC.2007.4424463 121   2 Cited 3 times in Scopus3 0
Chen, K., Dam, H., Lindsay, P.A. and Abbass, H.A. (2007). Biasing XCS with domain knowledge for planning flight trajectories in a moving sector free flight environment. In: Fogel, D., Proceedings of the 2007 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2007). 2007 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2007), Hawaii, (456-462). 1-5 April, 2007. doi:10.1109/ALIFE.2007.367830 72   Cited 2 times in Scopus2 0
Darwen, P. (2000). Black magic: Interdependence prevents principled parameter setting, self adapting costs too much computation. In: S. Halloy and T. Williams, Applied Complexity: From Neural Nets to Managed Landscapes. Complex Systems 2000 - Applied Complexity, Dunedin, New Zealand, (227-237). 19-22 November 2000. 47  
Ye, Mao, Gao, Zengan and Li, Xue (2007). Blind separation of positive signals by using genetic algorithm. In: Liu, D., Fei, S., Hou, Z., Zhang, H. and Sun, C., Advances in Neural Networks - ISNN 2007. 4th International Symposium on Neural Networks, ISNN 2007, Nanjing, China, (741-750). 3-7 June, 2007. 65 1 0
Wood, Ian Andrew. (2004). Boltzmann machine learning : analysis and improvements PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. 180 2
Navone, H. D., Cook, D., Downs, T. and Chen, D. (1999). Boosting naive-bayes classifiers to predict outcomes for Hip prostheses. In: J. S. Boswell, 1999 International Joint Conference on Neural Networks. IJCNN'99, Washington, DC, (1-5). 10-16 July 1999. 38  
Sitte, J., Zhang, L. and Rueckert, U (2007) Characterization of Analog Local Cluster Neural Network Hardware for Control. IEEE Transactions on Neural Networks, 18 4: 1242-1253. doi:10.1109/TNN.2007.899518 86   1 Cited 1 times in Scopus1 0
Hanmandlu, Madasu, Madasu, Vamsi Krishna and Vasikarla, Shantaram (2003). Cluster Weighted Modeling as a Basis for Fuzzy Modeling. In: P. Srimani, Proceedings of the International Conference on Information Technology: Computers and Communications. International Conference on Information Technology - Coding and Computing, Las Vegas, USA, (627-634). 28-30 April, 2003. 174 165 2
Darwen, P. and Pollack, J. B. (1999). Co-evolutionary learning on noisy tasks. In: VW Porto, Proceedings of the 1999 Congress on Evolutionary Computation. CEC'99, Washington DC, (1724-1731). 6-9 July 1999. 27  
Atukorale, D. and Suganthan, P. N. (1999). Combining classifiers based on confidence values. In: Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR'99, Bangalore, India, (37-40). 20-22 September 1999. 31  
Yuan, B. and Gallagher, M. (2007). Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks. In Lobo, F. G., Lima, C. F. and Michalewicz, Z. (Ed.), Parameter Setting in Evolutionary Algorithms (pp. 121-142) Berlin, Heidelberg, Germany: Springer-Verlag. doi:10.1007/978-3-540-69432-8_6 78   Cited 5 times in Scopus5 0
Atukorale, D. and Suganthan, P. P. (2000). Comparing performances of supervised classifiers. In: The Sixth International Conference on Control, Automation, Robotics and Vision: ICARCV'2000. ICARCV'2000, Singapore, Marina Mandarin, (1-5). 5-8 December 2000. 38  
Davis, L., Hawkins, J. C., Maetschke, S. R. and Boden, M B (2006). Comparing SVM sequence kernels: A protein subcellular localization theme. In: M. Boden and T. Bailey, Proceedings of the 2006 Workshop on Intelligent Systems for Bioinformatics (WISB 2006). 2006 Workshop on Intelligent Systems for Bioinformatics (WISB 2006), Hobart, Tas, Australia, (39-47). 4 December, 2006. 59  
Darwen, P. (2000). Computationally intensive and noisy tasks: Co-evolutionary learning and temporal difference learning. In: 2000 Congress on Evolutionary Computation. 2000 Congress on Evolutionary Computation, La Jolla, California, (872-879). 16-19 July 2000. 35  
Kim, J. (2001). Connectionism: A new perspective for data mining for knowledge discovery. In: International Conference on Advance in Infrastructure for Electronic Business, Science, and Education on the Internet. SSGRR 2001, L'Aquila, Italy, (). 6-12 August 2001. 31  
Niklasson, L. and Boden, M. B. (1999). Content, context and connectionist networks. In: Proceedings of the 21st Annual Meeting of the Cognitive Science Society. 21st Annual Meeting of the Cognitive Science Society, Vancouver, (474-479). August 1999. 43   2
Djurisic, A. B., Rakic, A., Li, E. H., Majewski, M. L., Bundaleski, N. and Stanic, B. V. (1999). Continuous optimization using elite genetic algorithms with adaptive mutations. In: B. McKay, X. Yao, C. S. Newton, J-H. Kim and T. Furuhashi, Second Asia-Pacific Conference on Simulated Evolution and Learning. Simulated Evolution and Learning, 1998, Camberra, (365-372). November, 1998. 75   0
Drennan, P. G. (2004). Conversational agents: Creating natural dialogue between players and non-player characters. In Steve Rabin (Ed.), AI Game Programming Wisdom 2 (pp. 701-706) Hingham: Charles River Media. 74  
Geard, N. L. and Wiles, J. H. (2002). Diversity maintenance on neutral landscapes: An argument for recombination. In: D. Fogel and M. El-Sharkawi et al., Proceedings of the 2002 Congress on Evolutionary Computation. 2002 Congress on Evolutionary Computation, Hawaii, (211-213). 12-17 May, 2002. 40   0
Darwen, P. and Yao, X. (2000) Does extra genetic diversity maintain escalation in a co-evolutionary arms race. International Journal of Knowledge-Based Intelligent Engineering Systems, 4 3: 191-200. 49  
Hallinan, J. S., Bradley, D R, Mattick, J S and Wiles, J H (2006). Effects of an RNA control layer on the state space of boolean models of genetic regulatory networks. In: 2006 IEEE Congress on Evolutionary Computation. 2006 IEEE Congress on Evolutionary Computation, Vancouver, Canada, (2551-2555). 16-21 July, 2006. 60 3 Cited 0 times in Scopus0
Gallagher, Marcus, Downs, Tom and Wood, Ian (2002) Empirical evidence for ultrametric structure in multi-layer perceptron error surfaces. Neural Processing Letters, 16 2: 177-186. doi:10.1023/A:1019956303894 63   0 Cited 0 times in Scopus0 0
Wiles, J. H. and Hallinan, J. S. (2003). Evolutionary computation and cognitive science. In D. B. Fogel and C. J. Robinson (Ed.), Computational Intelligence: The Experts Speak 1st ed. (pp. 179-189) San Diego, USA: IEEE Press. 58  
Tonkes, B., Blair, A. D. and Wiles, J. H. (2000). Evolving learnable language. In: Solla, Leen and Muller, Advances in Neural Info Processing Systems 12. Advances in NIPS 12, Denver, (66-72). December 1999. 35   2
Gallagher, M. and Ledwich, M. (2007). Evolving pac-man players: Can we learn from raw input?. In: Fogel, D., Proceedings of the 2007 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2007). 2007 IEEE Symposium Series on Computational Intelligence and Games (IEEE SSCI 2007), Honolulu, Hawaii, (282-287). 1-5 April, 2007. doi:10.1109/CIG.2007.368110 85   0 Cited 15 times in Scopus15 0
Gallagher, M. R. (2001). Fitness distance correlation of neural network error surfaces: A scalable, continuous optimization problem. In: L. De Raedt and P. Flach, Proceedings of the Twelfth European Conference on Machine Learning. Twelfth European Conference on Machine Learning, Freiburg, Germany, (157-166). 3-7 September, 2001. 52  
Dia, H. F. (1999). Freeway travel time estimation using neural networks. In: Smart Solutions at work - Intelligent Transport Systems Australia. Smart Soultions at work - Intelligent Transport Systems Australia, Adelaide Convention Centre, Adelaide, (1-14). 18-21 May 1999. 32  
Fuzzy Systems and Knowledge Discovery (2006) . Edited by L. Wang, J. Licheng, G. Shi, X. Li and J. Liu. Fuzzy Systems and Knowledge Discovery Third International Conference, FSKD 2006, September 24-28, 2006, Xi’an, China. 49  
Boden, Mikael (2004) Generalization by symbolic abstraction in cascaded recurrent networks. Neurocomputing, 57 87-104. doi:10.1016/j.neucom.2004.01.006 47   5 Cited 6 times in Scopus6 0
Hong, Y. and Dong, Z. Y. (2004) Genetic algorithms with applications in wireless communications. International Journal of Systems Science, 35 13-14: 751-762. doi:10.1080/00207720412331303649 87   5 Cited 4 times in Scopus4 0
Madasu, Vamsi K., Lovell, Brian C. and Hanmandlu, Madasu (2005). Hand Printed Character Recognition Using Neural Networks. In: International Conference on Cognition and Recognition, Mysore, India, (506-513). 22-23 December, 2005. 1131 1653
Atukorale, D. A. and Suganthan, P. P. (2000) Hierarchicl overlapped neural gas network with application to pattern classification. Neurocomputing, 35 2000: 165-176. doi:10.1016/S0925-2312(00)00315-5 28   8 Cited 9 times in Scopus9 0
Xin, Y. and Darwen, P. (1999). How important is your reputation in a multi-agent environment. In: Proceedings of the 1999 IEEE Conference on Systems, Man, and Cybernetics. SMC'99, Tokyo, (575-580). 13-15 October 1999. 21  

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