Dr Andrew Back
Advance Queensland Fellow
School of Information Technology and Electrical Engineering
Book Chapters
Lawrence, Steve, Burns, Ian, Back, Andrew, Tsoi, Ah Chung and Giles, C. Lee (2012). Neural network classification and prior class probabilities. Neural networks: tricks of the trade. (pp. 295-309) edited by Grégoire Montavon, Geneviève B. Orr and Klaus-Robert Müller. London, United Kingdom: Springer. doi: 10.1007/978-3-642-35289-8_19
Back, Andrew D. (2001). Radial basis functions. Handbook of Neural Network Signal Processing. (pp. 3-1-3-23) CRC Press.
Journal Articles
Back, Andrew D. and Wiles, Janet (2022). Estimating sentence-like structure in synthetic languages using information topology. Entropy, 24 (7) 859, 1-25. doi: 10.3390/e24070859
Back, Andrew D. and Wiles, Janet (2022). An information theoretic approach to symbolic learning in synthetic languages. Entropy, 24 (2) 259, 259. doi: 10.3390/e24020259
Back, Andrew D. and Wiles, Janet (2021). Entropy estimation using a linguistic Zipf–Mandelbrot–Li model for natural sequences. Entropy, 23 (9) 1100. doi: 10.3390/e23091100
Sluis, Rachel A., Angus, Daniel, Wiles, Janet, Back, Andrew, Gibson, Tingting Amy, Liddle, Jacki, Worthy, Peter, Copland, David and Angwin, Anthony J. (2020). An automated approach to examining pausing in the speech of people with dementia. American Journal of Alzheimer's Disease and Other Dementias, 35, 1-8. doi: 10.1177/1533317520939773
Back, Andrew D., Angus, Daniel and Wiles, Janet (2019). Transitive entropy - a rank ordered approach for natural sequences. IEEE Journal on Selected Topics in Signal Processing, 14 (2) 8826273, 312-321. doi: 10.1109/JSTSP.2019.2939998
Back, Andrew D., Angus, Daniel and Wiles, Janet (2019). Determining the number of samples required to estimate entropy in natural sequences. IEEE Transactions On Information Theory, 65 (7) 8637972, 4345-4352. doi: 10.1109/TIT.2019.2898412
Trappenberg, Thomas, Ouyang, Jie and Back, Andrew (2006). Input variable selection: mutual information and linear mixing measures. IEEE Transactions on Knowledge and Data Engineering, 18 (1), 37-46. doi: 10.1109/tkde.2006.11
Back, Andrew D. and Chen, Tianping (2002). Universal approximation of multiple nonlinear operators by neural networks. Neural Computation, 14 (11), 2561-2566. doi: 10.1162/089976602760407964
Iannella, Nicolangelo and Back, Andrew D. (2001). A spiking neural network architecture for nonlinear function approximation. Neural Networks, 14 (6-7), 933-939. doi: 10.1016/S0893-6080(01)00080-6
Back, Andrew D. and Trappenberg, Thomas P. (2001). Selecting inputs for modeling using normalized higher order statistics and independent component analysis. IEEE Transactions On Neural Networks, 12 (3), 612-617. doi: 10.1109/72.925564
Back, Andrew D., Horne, Bill G., Tsoi, Ah Chung and Lee Giles, C. (1999). Alternative discrete-time operators: An algorithm for optimal selection of parameters. IEEE Transactions on Signal Processing, 47 (9), 2612-2615. doi: 10.1109/78.782226
Back, Andrew D. and Tsoi, Ah Chung (1998). A Low-Sensitivity Recurrent Neural Network. Neural Computation, 10 (1), 165-188. doi: 10.1162/089976698300017935
Lawrence, Steve, Back, Andrew D., Tsoi, Ah Chung and Giles, C. Lee (1997). On the distribution of performance from multiple neural-network trials. IEEE Transactions on Neural Networks, 8 (6), 1507-1517. doi: 10.1109/72.641472
Back, Andrew D. and Weigend, Andreas S. (1997). A first application of independent component analysis to extracting structure from stock returns. International Journal of Neural Systems, 8 (4), 473-484. doi: 10.1142/S0129065797000458
Tsoi, Ah Chung and Back, Andrew (1997). Discrete time recurrent neural network architectures: a unifying review. Neurocomputing, 15 (3-4), 183-223. doi: 10.1016/S0925-2312(97)00161-6
Lawrence, Steve, Giles, C. Lee, Tsoi, Ah Chung and Back, Andrew D. (1997). Face recognition: a convolutional neural-network approach. IEEE Transactions on Neural Networks, 8 (1), 98-113. doi: 10.1109/72.554195
Back, A. D. and Tsoi, A. C. (1996). Nonlinear system identification using discrete laguerre functions. Journal of Systems Engineering, 6 (3), 194-207.
Tsoi, Ah Chung and Back, Andrew (1995). Static and dynamic preprocessing methods in neural networks. Engineering Applications of Artificial Intelligence, 8 (6), 633-642. doi: 10.1016/0952-1976(95)00047-X
Tsoi, Ah Chung and Back, A. D. (1994). Locally recurrent globally feedforward networks: a critical review of architectures. IEEE Transactions on Neural Networks, 5 (2), 229-239. doi: 10.1109/72.279187
Back, Andrew D. and Tso, Ah Chung (1993). A simplified gradient algorithm for IIR synapse multilayer perceptrons. Neural Computation, 5 (3), 456-462. doi: 10.1162/neco.1993.5.3.456
Back, Andrew D. and Tsoi, Ah Chung (1992). An Adaptive Lattice Architecture for Dynamic Multilayer Perceptrons. Neural Computation, 4 (6), 922-931. doi: 10.1162/neco.1992.4.6.922
Back, A. D. and Tsoi, A. C. (1991). FIR and IIR synapses, a new neural network architecture for time series modeling. Neural Computation, 3 (3), 375-385. doi: 10.1162/neco.1991.3.3.375
Conference Papers
Korte, Jessica, Bender, Axel, Gallasch, Guy, Wiles, Janet and Back, Andrew (2020). A plan for developing an Auslan communication technologies pipeline. ECCV 2020: Computer Vision – ECCV 2020 Workshops, Glasgow, Scotland, 23–28 August, 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-66096-3_19
Angus, Daniel, Yu, Yeyang, Vrbik, Paul, Back, Andrew and Wiles, Janet (2018). PauseCode: Computational conversation timing analysis. 4th Workshop on Multimodal Analyses Enabling Artificial Agents in Human-Machine Interaction, MA3HMI 2018 - In conjunction with ICMI 2018, Boulder, CO, United States, October 16, 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3279972.3279975
Trappenberg, Thomas P. and Back, Andrew D. (2000). A classification scheme for applications with ambiguous data. IEEE/INNS/ENNS International Joint Conference on Neural Networks (IJCNN 2000), Como, Italy, 24-27 July 2000. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/IJCNN.2000.859412
Back, A.D. and Cichocki, A. (1999). Input variable selection using independent component analysis and higher order statistics. First International Workshop on Independent Component Analysis and Signal Separation, ICA'99, Aussois, France, 11-15 January 1999.
Back, Andrew D. and Weigend, Andreas S. (1998). Discovering Structure in Finance Using Independent Component Analysis. Fifth International Conference Computational Finance, London, United Kingdom, 15-17 December 1997. Boston, MA United States: Springer. doi: 10.1007/978-1-4615-5625-1_24
Back, A. D. and Cichocki, A. (1998). Blind source separation and deconvolution of fast sampled signals. 1997 International Conference on Neural Information Processing and Intelligent Information Systems, Dunedin, New Zealand, September 1997. Singapore: Springer.
Back, A. D. and Chen, T. P. (1998). Approximation of hybrid systems by neural networks. 1997 International Conference on Neural Information Processing and Intelligent Information Systems, Dunedin, New Zealand, September 1997. Singapore: Springer.
Lawrence, S., Tsoi, A.C. and Back, A.D. (1996). The Gamma MLP for speech phoneme recognition. 9th Annual Conference on Neural Information Processing Systems (NIPS), Denver, CO United States, 27-30 November 1995. Cambridge, MA United States: M I T Press.
A.D. Back and A.C. Tsoi (1995). A comparison of discrete-time operator models for nonlinear system identification. Advances in Neural Information Processing Systems 7, Denver, CO United States, 28 November - 1 December 1994. Cambridge, MA United States: M I T Press.
Back, Andrew D. and Tsoi, Ah Chung (1995). Constrained pole-zero filters as discrete-time operators for system approximation. Proceedings of the 5th IEEE Workshop on Neural Networks for Signal Processing (NNSP'95), Cambridge, MA United States, 31 August - 2 September 1995. Piscataway, NJ United States: IEEE. doi: 10.1109/nnsp.1995.514893
Tsoi, Ah Chung, Shrimpton, David, Watson, Brett and Back, Andrew (1994). Application of artificial neural network techniques to speaker verification. ESCA Workshop on Automatic Speaker Recognition, Identification, and Verification, ASRIV 1994, Martigny, Switzerland, 7-9 April 1994. Baixas, France: International Speech Communication Association.
Back, Andrew D. and Tsoi, Ah Chung (1994). Alternative discrete-time operators in neural networks for nonlinear prediction. Proceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems, Brisbane, QLD Australia, 29 November - 2 December 1994. Piscataway, NJ United States: IEEE. doi: 10.1109/anziis.1994.396959
Back, Andrew D. and Tsoi, Ah Chung (1994). Blind deconvolution of signals using a complex recurrent network. Proceedings of the 4th IEEE Workshop on Neural Networks for Signal Processing (NNSP'94), Ermioni, Greece, 6-8 September 1994. Piscataway, NJ United States: IEEE. doi: 10.1109/nnsp.1994.366009
Back, Andrew, Wan, Eric A., Lawrence, Steve and Tsoi, Ah Chung (1994). Unifying view of some training algorithms for multilayer perceptrons with FIR filter synapses. Proceedings of the 4th IEEE Workshop on Neural Networks for Signal Processing (NNSP'94), Ermioni, Greece, 6-8 September 1994. Piscataway, NJ United States: IEEE. doi: 10.1109/nnsp.1994.366054
Back, Andrew D. and Tsoi, Ah Chung (1992). Nonlinear system identification using multilayer perceptrons with locally Recurrent synaptic structure. Neural Networks for Signal Processing II, Helsingoer, Denmark, 31 August 1992 - 2 September 1992. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/NNSP.1992.253668
Back, Andrew and Tsoi, Ah Chung (1992). Internal representation of data in multilayer perceptrons with IIR synapses. 1992 IEEE International Symposium on Circuits and Systems, San Diego, CA United States, 10-13 May 1992. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ISCAS.1992.229938
Back, A.D. and Tsoi, A.C. (1992). Stabilization Properties of Multilayer Feedforward Networks with Time-Delay Synapses. 1992 International Conference on Artificial Neural Networks (ICANN–92), Brighton, United Kingdom, 4–7 September 1992. Amsterdam, Netherlands: Elsevier. doi: 10.1016/b978-0-444-89488-5.50060-9
Back, Andrew and Tsoi, Ah Chung (1992). Representational capabilities of multilayer feedforward networks with time-delay synapses. Publ by American Automatic Control Council. doi: 10.23919/acc.1992.4792711
Back, A.D. and Tsoi, A.C. (1991). Analysis of hidden layer weights in a dynamic locally recurrent network. International Conf On Artificial Neural Networks ( Icann-91 ), Espoo, Finland, 24-28 June 1991. Amsterdam, Netherlands: Elsevier.