Adaptive Processing of Data Structures

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Books and book chapters:

[1]

Tsoi, A.C. and Zhang, S. and Hagenbuchner, M., Hierarchical Hidden Markov Models An Application to Health Insurance Data, Springer, chapter Data Mining: Theory, Methodology, Techniques, and Applications, 2006.
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[2]

Van Hulle, M.M., Self-organizing maps: Theory, design, and application, Tokyo: Kaibundo, 2001.
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[3]

Tsoi, A.C. and Back, A. and Principe, J. and Mozer, M., Memory Kernels, IEEE Press, chapter A Field Guide to Dynamical Recurrent Networks, pp. pp 39 - 54, 2001.
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[4]

Hagenbuchner, M. and Tsoi, A.C. and Sperduti, A., A supervised self-organising map for structured data, WSOM 2001 - Advances in Self-Organising Maps, Springer, editor Allison, N. and Yin, H. and Allison, L. and Slack, J., pp. 21-28, June, 2001.
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[5]

Van Hulle, M.M., Faithful representations and topological maps: From Distortion- to Information-Based Self-Organization, New York: John Wiley, 2000.
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[6]

A. Sperduti, Knowledge-Based Neurocomputing, Cloete, I., Zurada, J. M. (Eds.), The MIT Press, Cambridge, MA, editor I. Cloete and J. Zurada, chapter A Tutorial on Neurocomputing of Structures, pp. 117--152, 2000.
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[7]

T. Heskes, Energy functions for self-organizing maps, Kohonen Maps, Elsevier, editor S. Oja, E. & Kaski, pp. 303--316, Amsterdam, 1999.
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[8]

Leung, C. S. and Sum, P. F. and Tsoi, A. C. and Chan, L. W., Several aspects of pruning methods in recursive least square algorithms for neural networks, Springer Verlag, chapter Theoretical aspects of neural computation: a multidisciplinary perspective, pp. pp 71--80, 1998.
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[9]

Tsoi, A. C., Gradient Based Learning Methods, Springer, chapter Recurrent Neural Networks, 1998.
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[10]

Lawrence, S. and Burns, I. and Back, A.D. and Tsoi, A.C. and Giles, C. Lee, Neural Network Classification and Prior Class Probabilities, Springer-Verlag, chapter Tricks of the Trade, Lectures Notes in Computer Science, 1998.
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[11]

Tsoi, A. C. and Shaw, J., Emerging complex behaviours from multiple insect simulation and a simple reinforcement learning mechanism, World Scientific, chapter Evolutionary Computation, 1998.
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[12]

Tsoi, A. C., Recurrent Neural Network Architectures, An Overview, Springer, chapter Recurrent Neural Networks, 1998.
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[13]

Reenskaug, T. and Wold, P. and Lehne, O.A., Working with Objects. The OOram Software Engineering Method, Manning Publications Co., 1996.
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[14]

A. Sperduti and D. Majidi and A. Starita, Extended Cascade-Correlation for Syntactic and Structural Pattern Recognition, Advances in Structural and Syntactical Pattern Recognition, series Lecture notes in Computer Science, Springer-Verlag, editor P. Perner and P. Wang and A. Rosenfeld, Vol. 1121, pp. 90--99, 1996.
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[15]

Murray, James D. and William vanRyper, Encyclopedia of Graphics File Formats, O'Reilly and Associates, Inc., 2, 1996.
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[16]

Jain, R. and Rangachar, K. and Brian, G.S., Computer Vision, mcGraw Hill, Inc., 1995.
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[17]

Hansh, C. and Leo, A., Exploring QSAR, ACS Professional Reference Book, ACS, Washington, D.C., chapter 3, 1995.
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[18]

R. J. Williams and D. Zipser, Gradient-based learning algorithms for recurrent networks and their computational complexity, Back-propagation: Theory, Architectures and Applications, Lawrence Erlbaum Publishers, editor Y. Chauvin and D. E. Rumelhart, chapter 13, pp. 433--486, Hillsdale, N.J., 1995.
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[19]

Hassoun, M.H., Fundamentals of Artificial Neural Networks, MIT Press, 1995.
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[20]

Kohonen, T., Self-Organizing Maps, series Springer Series in Information Sciences, Springer, Vol. 30, Berlin, Heidelberg, 1995.
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[21]

Vapnik, V.N., The nature of statistical learning theory, Springer Verlag, Heidelberg, DE, 1995.
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[22]

Haykin, S., Neural Networks, A Comprehensive Foundation, Macmillan College Publishing Company, Inc., 866 Third Avenue, New York, New York 10022, 1994.
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[23]

M. Sonka and V. Hlavac and R. Boyle, Image Processing, Analysis and Machine Vision, Chapman and Hall Computing, 1993.
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[24]

Aho, A.V. and Ullman, J.D., Foundations of Computer Science, series pcss, csp, 1992.
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[25]

E. Rasmussen, Information Retrieval, Prentice Hall, Eaglewood Cliffs, N.J., editor W.B. Frakes and R. Baeza-Yates, chapter Clustering Algorithms, pp. 419--442, 1992,.
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[26]

Kohonen, T., Self-Organisation and Associative Memory, Springer, 3rd, 1990.
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[27]

T. H. Cormen and C. E. Leiserson and R. L. Rivest, Introduction to Algorithms, The MIT Press, 1990.
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[28]

J. B. Pollack, Implications of recursive distributed representations, Advances in Neural Information Processing Systems, Morgan Kaufman, editor D. S. Touretzky, pp. 527--536, San Mateo, CA, 1989.
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[29]

Gould, R., Graph Theory, The Benjamin/Cummings Publishing Company Inc., 1988.
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[30]

Rumelhart, D.E. and McClelland, J.L, Parallel Distributed Processing, MIT Press, Vol. 1, 1986.
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[31]

G. E. Hinton T. J. Sejnowski, Learning and relearning in Boltzmann machines, Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Cambridge, MA: MIT Press, editor D. E. Rumelhart and J. L. McClelland, Vol. 1, pp. 282--317, 1986.
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[32]

Rumelhart, D. and Hinton, G. and McClelland, J., Learning Internal Representations by Error Propagation, Parallel Distributed Processing: Explorations in the Microstructure of Cognition, series Computational Models of Cognition and Perception, MIT Press, Vol. 1, pp. 318-362, Cambridge, MA, 1986.
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[33]

P.Preparata, Franco and Ian Shamos, Michael, Computational Geometry An Inroduction, Springer Verlag, 1985.
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[34]

Martin, D. Davis and Elaine J. Weyuker., Computability, complexity, and languages : fundamentals of theoretical computer science, series Computer science and applied mathematics., New York : Academic Press, 1983.
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[35]

Hopcroft, John Edward, Introduction to automata theory, languages, and computation, series Addison-Wesley series in computer science., Reading, Mass. ; London [etc.] : Addison-Wesley, 1979.
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[36]

Gonzales, R.C. and Thomason, M.G., Syntactic Pattern Recognition, Addison-Wesley, 1978.
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[37]

Gonzalez, Rafael C. and Thomason, Michael G., Syntactic Pattern Recognition : An Introduction, series Applied mathematics and computation ; no. 14, Addison-Wesley Pub. Co., Advanced Book Program, 1978.
Bibtex Note Edit

[38]

Knuth, D.E., Semantics of context-free languages, Mathematical Systems Theory, chapter Math. Syst. Theory, Vol. 2, pp. 127-146, 1968.
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[39]

Tsoi, A.C. and To, P.K. and Hagenbuchner, M., Application of Text Mining Methodologies to Health Insurance Schedules, Information Science Publishing, chapter Practical Applications of Neural Networks, to appear in March 2006.
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[40]

, Syntactic and Structural Pattern Recognition : Theory and Applications, series Series in computer science ; v. 7., Singapore ; New Jersey : World Scientific, editor Bunke, H. and Sanfeliu, A., c1990.
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Journal papers:

[1]

Hagenbuchner, M. and Tsoi, A.C., A Supervised Training Algorithm for Self-Organizing Maps for Structures, Artificial Neural Networks in Pattern Recognition, Special Issue Pattern Recognition Letters, Vol. 26, No. 12, pp. 1874-1884, September, 2006.
Bibtex Pdf Edit

[2]

Tsoi, A.C. and Hagenbuchner, M. and Scarselli, F., Computing Personalized Page Ranks, ACM Transactions on Internet Technology, Vol. volume 6, No. number 4, November, 2006 (to appear).
Bibtex History Pdf Edit

[3]

Tsoi, A.C. and Zhang, S. and Hagenbuchner, M., Hierarchical Hidden Markov Models. An Application to Health Insurance Data, Data Mining: Theory, Methodology, Techniques, and Applications, Vol. Springer LNAI 3755, 2006.
Bibtex Pdf Edit

[4]

Tsoi, A.C. and Zhang, S. and Hagenbuchner, M., Pattern Discovery on Australian Medical Claims Data -- a systematic approach, IEEE Transactions on Knowledge and Data Engineering, April, 2005.
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[5]

Shilton, A. and Palaniswami, M. and Ralph, D. and Owens, B D and Tsoi, A C, Incremental Training of Support Vector Machines, IEEE Transactions on Neural Networks, Vol. Vol 16, No. No 1, pp. pp 114 - 131, 2005.
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[6]

Cho, S. Y. and Chi, Z. and Siu, W. C. and Tsoi, A. C., An improved algorithm for learning long-term dependency problem in adaptive processing of data structures, IEEE Transactions on Neural Networks, Vol. Vol 14, pp. pp 781-793, 2003.
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[7]

Wang, Z. and Chi, Z. and Feng, D. and Tsoi, A. C., Content based Image retrieval with relevance feedback using Adaptive processing of tree-structure Image representation, International Journal of Image and Graphics, 2003.
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[8]

Hagenbuchner, M. and Sperduti, A. and Tsoi, A.C., A Self-Organizing Map for Adaptive Processing of Structured Data, IEEE Transactions on Neural Networks, Vol. 14, No. 3, pp. 491-505, May, 2003.
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[9]

Hagenbuchner, M. and Gori, M. and Bunke, H. and Tsoi, A.C. and Irniger, C., Using attributed Plex Grammars for the generation of Image and Graph Databases, Special issue PRL-Graph-based Representations, editor Mario Vento, pp. pp 1081-1087, 2002.
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[10]

Lawrence, S. and Giles, L. and Tsoi, A. C., Rule extraction for financial prediction using recurrent neural networks, Machine Learning, Vol. Vol 44, pp. pp 161-183, 2001.
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[11]

R.C. Carrasco and M.L. Forcada, Simple Strategies to Encode Tree Automata in Sigmoid Recursive Neural Networks, IEEE TKDE, Vol. 13, No. 2, pp. 148-156, 2001.
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[12]

A.M. Bianucci and A. Micheli and A. Sperduti and A. Starita, Analysis of the Internal Representations Developed by Neural Networks for Structures Applied to Quantitative Structure-Activity Relationship Studies of Benzodiazepines, J. Chem. Inf. Comput. Sci., Vol. 41, No. 1, pp. 202-218, 2001.
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[13]

Leung, C. S. and Tsoi, A. C. and Chan, L. W., Two regularizers for recursive least squared algorithms in Feedforward neural networks, IEEE Trans Neural Networks, Vol. Vol 12, pp. pp 1314-1332, 2001.
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[14]

Yiu, K. F. C. and Wang, S. and Teo, K. L. and Tsoi, A C, Nonlinear system modelling viaknot-optimizing B-spline networks, IEEE Trans Neural Networks, Vol. Vol 12, pp. pp 1013-1022, 2001.
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[15]

Hammer, B., Generalization Ability of Folding Networks, IEEE Trans Data and Knowledge Engineering, Vol. 13, No. 2, pp. 196-206, 2001.
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[16]

Bianucci, A.M. and Micheli, A. and Sperduti, A. and Starita, A., Application of Recursive Cascade-Correlation Networks for Structures to Chemistry, Applied Intelligence Journal, Special Issue on "Neural Networks and Structured Knowledge", Vol. (Vol. 12, Knowledge Extraction and Applications), pp. 115-145, 2000.
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[17]

Gori, M. and Kuchler, A. and Sperduti, A., On the implementation of frontier-to-root tree automata in recursive neural networks, IEEE Transactions on Neural Networks, Vol. 10, No. 6, pp. 1305 -1314, 1999.
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[18]

B. Hammer, On the learnability of recursive data, Mathematics of Control Signals and Systems, Vol. 12, pp. 62-79, 1999.
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[19]

Back, A. and Tsoi, A. C. and Horne, B. and Giles, L., Alternative Discrete-Time Operators: An Algorithm for Optimal Selection of Parameters, IEEE Trans Signal Processing, Vol. Vol 47, pp. pp 2612-2615, 1999.
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[20]

A.M. Bianucci and A. Micheli and A. Sperduti and A. Starita, Analysis of the Internal Representations Developed by Neural Networks for Structures Applied to QSAR Studies of Benzodiazepines, J. Chem. Inf. Comp. Sci., 1999.
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[21]

Zupan, J. and Novic, M., Optimization of structure representation for QSAR studies, Anal. Chim. Acta, Vol. 3, pp. 243-250, 1999.
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[22]

Scarselli, F. and Tsoi, A.C., Universal Approximation using Feedforward Neural Networks, A survey of some existing methods, and some new results, Neural Networks, Vol. Vol 11, pp. pp 15--37, 1998.
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[23]

Gori, M. and Scarselli, F. and Tsoi, A.C., On the closure of the set of functions that can be realised by a given multilayer perceptron, IEEE Trans Neural Networks, Vol. Vol 9, No. No. 6, pp. pp 1086 -- 1098, 1998.
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[24]

Gori, M. and Tsoi, A.C., Comments on Minima free conditions, IEEE Trans Neural Networks, Vol. Vol 9, No. No. 5, pp. pp 1051--1053, 1998.
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[25]

Back, A. D. and Tsoi, A. C., A Low Sensitivity Recurrent NeuralNetwork, Neural Computation, Vol. Vol 10, No. No 1, pp. pp 165 -- 188, 1998.
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[26]

Frasconi, P. and Gori, M. and Sperduti, A., A general framework for adaptive processing in data structures, IEEE Transactions on Neural Networks, Vol. Vol 9, No. 5, pp. 768-785, 1998.
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[27]

Jain, A.K. and Zhang, H.J. and Vailaya, On Image Classification: City Images vs. Landscapes, Pattern Recognition, Vol. 31, No. 12, pp. 1921-1935, 1998.
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[28]

Christoph Goller and Marco Gori, Feature Extraction and Learning Vector Quantization for Data Structures, ieee, 1998.
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[29]

Bishop, C.M. and Svensen, M. and Williams, C, Developments of the generative topographic mapping, Neurocomputing, Vol. 21, No. 1, pp. 203--224, 1998.
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[30]

A. Sperduti, On the Computational Power of Recurrent Neural Networks for Structures, Neural Networks, Vol. 10, No. 3, pp. 395--400, 1997.
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[31]

Tsoi, A. C. and Tan, S., Recurrent neural networks: A constructive algorithm, and its properties, Neurocomputing, Vol. Vol 15, pp. pp 309 - 326, June, 1997.
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[32]

Sperduti, A. and Starita, A., Supervised Neural Networks for the Classification of Structures, IEEE Transactions on Neural Networks, Vol. Vol. 8, No. No. 3, pp. 714-735, 1997.
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[33]

A. Sperduti, On the Computational Power of Recurrent Neural Networks for Structures, Neural Networks, Vol. 10, No. 3, pp. 395-400, 1997.
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[34]

Hagenbuchner, M. and Fulcher, J., Noise Removal in Ionograms by Neural Network, Neural Computing & Applications, No. 6, pp. pp.165-172, 1997.
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[35]

Lawrence, S. and Back, A.D. and Tsoi, A.C. and Giles, C.L., On the distribution of performance from Multiple Neural Network Trials, IEEE Trans Neural Networks, Vol. Vol 8, No. No 6, pp. pp 1507 --1517, 1997.
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[36]

Hazarika, N. and Tsoi, A. C. and Sergejew, A., Nonlinear considerations in EEG Signal Classification, IEEE TransSignal Processing, Vol. Vol 45, No. No 4, pp. pp 829 - 836, April, 1997.
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[37]

Hazarika, N. and Chen, J. Zhu and Tsoi, A. C. and Sergejew, A., Classification of EEG signals using Wavelet transform, Signal Processing, pp. pp 61 - 72, June, 1997.
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[38]

Murtagh, P. and Tsoi, A. C., A Reconfigurable Bit-Serial VLSI systolic array neuro-chip, Journal of Parallel and DistributedComputing, Vol. Vol 44, pp. pp 53 -- 70, 1997.
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[39]

Lovell, D. and Downs, T. and Tsoi, A. C., An Evaluation of the Neocognitron, IEEE Trans Neural Networks, Vol. Vol 8, pp. pp 1090 -- 1105, 1997.
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[40]

Lawrence, S. and Giles, C. L. and Tsoi, A. C. and Back, A. D., Face recognition: A convolutional neural network approach, IEEE Trans Neural Networks, Vol. Vol 8, No. No 1, pp. pp 98 - 113, 1997.
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[41]

Tsoi, A. C. and Back, A. D., Discrete time recurrent neural network architectures: A unifying review, Neurocomputing, Vol. Vol 15, pp. pp 183 - 223, June, 1997.
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[42]

Leung, C. S. and Wong, K. W. and Tsoi, A. C., Recursive algorithms for principal component extraction, Network: Computation in NeuralSystems, Vol. Vol 8, pp. pp 323 -- 334, 1997.
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[43]

Andersen, H.C. and Lotfi, A. and Tsoi, A.C., A new approach to adaptive fuzzy control: The controller output error method, IEEE Trans Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. Vol 27, No. No 4, pp. pp 686 - 691, August, 1997.
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[44]

Srihari, S.N. and Shin, Y.C. and Ramanaprasad, V. and Lee, D.S., A System to Read Names and Addresses on Tax Forms, PIEEE, Vol. 84, No. 7, pp. 1038-1049, July, 1996.
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[45]

Tsoi, A. C. and Back, A. D., Static and dynamic preprocessing methods in neural networks, Engineering Applicationsof Artificial Intelligence, 1996.
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[46]

Lotfi, A. and Andersen, H.C. and Tsoi, A.C., Interpretation Preservation of adaptive fuzzy inference systems, Intern.Journal of Approximate Reasoning, Vol. Vol 15, No. No 4, pp. pp 379--394, 1996.
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[47]

Lotfi, A. and Andersen, H.C. and Tsoi, A. C., Matrix formulation of fuzzyrule-based systems, IEEE Trans. on Systems, Man, and Cybernetics, Vol. vol 26, No. No 4, pp. pp 332--340, April, 1996.
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[48]

Back, A. D. and Tsoi, A. C., Nonlinear system identification using discrete Laguerre functions, Int Journal of Systems Engineering, Vol. Vol 6, No. No 3, pp. pp 194 -- 207, 1996.
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[49]

Lotfi, A. and Tsoi, A. C., Learning fuzzy inference systems using an adaptive membership function scheme, IEEE Trans. on Systems, Man, andCybernetics, Vol. vol 16, No. No 4, pp. pp 326--331, April, 1996.
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[50]

Alspan, D. and Towsey, M. and Ozdomar, O. and Tsoi, A. C. and Ghista, D. N., Neural Network Optimization for high generalisation in a biomedical signal classification task, NeuralNetworks, 1995.
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[51]

C. L. Giles and D. Chen and G. Z. Sun and H. H. Chen and Y. C. Lee and M. W. Goudreau, Constructive Learning of Recurrent Neural Networks: Limitations of Recurrent Casade Correlation and a Simple Solution, IEEE Transactions on Neural Networks, Vol. 6, No. 4, pp. 829--836, 1995.
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[52]

Sperduti, A., Stability Properties of Labeling Recursive Auto-Associative Memory, IEEE Transactions on Neural Networks, Vol. 6, No. 6, pp. 1452-1460, 1995.
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[53]

Lee, H. S. and Tsoi, A. C., Application of Multilayer Perceptron in estimating Speech/Noise characteristics for Speech Recognition in Noisy environment, Speech Communications, 1995.
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[54]

Yin, H. and Allinson, N.M., On the Distribution and Convergence of Feature Space in Self-Organizing Maps, Neural Computation, Vol. 7, pp. 1178-1187, 1995.
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[55]

Bengio, Y. and Simard, P. and Frasconi, P., Learning Long-Term Dependencies with Gradient Descent is Difficult, IEEE Transactions on Neural Networks, Vol. 5, No. 2, pp. 157--166, March, 1994.
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[56]

Teng, F. C. and Ledwich, G. F. and Tsoi, A. C., Extension of Dahlin-Higham controller to multivariable systems with delays, International Journal of Systems Science, Vol. Vol 25, No. No 2, pp. pp 337 - 350, 1994.
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[57]

Tsoi, A. C. and Back, A., Locally Recurrent Globally Feedforward Networks: A Critical Review of Architectures, IEEE Trans Neural Networks, Vol. (2), pp. pp 229 - 239, 1994.
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[58]

Dimitra Hadjipavlou-Litina and Corwin Hansch, Quantitative Structure-Activity Relationships of the Benzodiazepines. A Review and Reevaluation, Chemical Reviews, Vol. 94, No. 6, pp. 1483-1505, 1994.
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[59]

Andersen, H. and Teng, F. and Tsoi, A. C., Signal net indirect learning architecture, IEEE Trans Neural Networks, Vol. Vol 5, pp. pp 1003 - 1005, 1994.
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[60]

Andersen, H. and Tsoi, A. C., A Constructive Algorithm for the Training of a Multilayer Perceptron Based on the Genetic Algorithm, Complex Systems, 1994.
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[61]

Alspan, D. and Towsey, M. and Ozdomar, O. and Tsoi, A. C. and Ghista, D.N., Determining hearing threshold from brain stem evoked potentials. Optimizing a neural network to improve classification performances, IEEE Eng Med Biol, Vol. Vol 13, pp. pp 465 - 471, 1994.
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[62]

Qiu, L. and Tsoi, A. C., A Time varying model of non stationary signals and Wigner distribution, Signal Processing, Vol. Vol 32, No. No 3, pp. pp 305 - 314, 1993.
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[63]

Murtagh, P. and Tsoi, A.C. and Bergmann, N., Bit-serial systolic array implementation of a multilayer perceptron, Proc IEE, Vol. Vol 140, No. No 5, pp. pp 277 - 288, 1993.
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[64]

Gasteiger, J. and Zupan, J., Neural Networks in Chemistry, Angewandte Chemie, International Edition in English, 1993.
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[65]

Lovell, D. and Tsoi, A. C. and Downs, T, A note on a closed form training algorithm for theneocognitron, IEEE Trans Neural Networks, Vol. Vol 4, No. No 2, pp. pp 367 -368, 1993.
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[66]

G. Chappell and J. Taylor, The temporal Kohonen map, Neural Networks, Vol. 6, pp. 441--445, 1993.
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[67]

Back, A. and Tsoi, A. C., A simplified gradient algorithm for IIR synapse multilayer perceptrons, Neural Computation, Vol. Vol 5, No. No 3, pp. pp 456 - 462, 1993.
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[68]

M. Riedmiller, Untersuchungen zu konvergenz und generalisierungsverhalten überwachter lernverfahren mit dem SNNS, Proceedings of the SNNS, 1993.
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[69]

P. Gentric and H. C. A. M. Withagen, Constructive Methods for a New Classifier Based on a Radial-Basis-Function Neural Network Accelerated by a Tree, j-LECT-NOTES-COMP-SCI,, Vol. 686, pp. 125--??, 1993.
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[70]

Erwin, E. and Obermayer, K. and Schulten, K., Self-organizing maps: Ordering, convergence properties and energy functions, Biological Cybernetics, Vol. 67, pp. 47-55, 1992.
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[71]

Back, A. and Tsoi, A. C., An adaptive lattice algorithm for the IIRmultilayer perceptrons, Neural Computation, Vol. Vol 4, No. No 6, pp. pp 922 - 931, 1992.
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[72]

Murtagh, P. and Tsoi, A. C., Implementation issues on sigmoid function and its derivative for VLSI digital neural networks, Proc IEE, Vol. Vol 139, No. No 3, pp. pp 207 - 214, 1992.
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[73]

F. Burbello and S. B. Pollard and J. Porrill and J. E. W. Mayhew, Retrieval of high-level data structures from stereo vision data, Lecture Notes in Computer Science, Vol. 549, pp. 312--??, 1991.
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[74]

Back, A. and Tsoi, A. C., FIR and IIR synapses, a new neural network architecture for time series modelling, Neural Computation, Vol. Vol 3, No. No 3, pp. pp 375-385, 1991.
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[75]

Pretzel, Z. and Fuhrmann, P. and Tsoi, A. C., On self synchronization -- aspects of Flagellar and Ciliary Beating, Biorheology, Vol. Vol 27, pp. pp 125 - 134, 1990.
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[76]

T. Kohonen, The self-organizing map, Proceedings of the IEEE, Vol. 78, pp. 1464--1480, 1990.
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[77]

Dasgupta, S. and Anderson, B. and Tsoi, A. C., Input conditions for continuous time adaptive system problems, IEEE Transactions onAutomatic Control, Vol. Vol 35, pp. pp 78-82, 1990.
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[78]

J. L. Elman, Finding Structure in Time, Cognitive Science 14, pp. 179-211, 1990.
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[79]

Elman, J.L., Finding Structure in Time, Cognitive Science, Vol. 14, No. 2, pp. 179-211, 1990.
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[80]

Tsoi, A.C., Multi-layer perceptron trained using radial basis functions technique, Electronic Letter, Vol. Vol 25, pp. pp 1296 - 1297, 1989.
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[81]

K. Hornik and M. Stinchcombe and H. White, Multilayer feedforward networks are universal approximators, Neural Networks, Pergamon Press, Vol. 2, No. 5, pp. 359--366, 1989.
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[82]

Cheng, F.H. and Hsu, W.H. and Chen, M.Y., Recognition of Handwritten Chinese Characters by Modified hough Transform Techniques, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-11, No. 4, pp. 429--439, 1989.
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[83]

Moody and Darken, Fast learning in networks of locally-tuned processing units., Neural Computation, pp. 281--294, 1989.
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[84]

Tsoi, A.C., Discussions on an expert system based algorithm for short term load forecast by Rahman S,Bhatnagar R, IEEE Trans. Power Systems, Vol. Vol 3, pp. page 399, 1988.
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[85]

Kohonen, T., The 'neural' phonetic typewriter, Computer, Vol. 21, No. 3, 1988.
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[86]

Hinrichs, K. and Nievergelt, J. and Schorn, P, Plane-sweep solves the closest pair problem elegantly, Information Processing Letters, pp. pp. 255-261, 1987/88.
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[87]

Yeh, P.S. and Antoy, S. and Litcher, A. and Rosenfeld, A., Address Location on Envelopes, PR, Vol. 20, pp. 213-227, 1987.
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[88]

Pineda, F.~J., Generalization of back-propagation to recurrent neural networks, Physical Review Letters, Vol. 59, No. 19, pp. 2229-2232, 1987.
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[89]

Dasgupta, S. and Anderson, B. D. O. and Tsoi, A.C., Exponential convergence of a model reference adaptive control for plants with known high frequency gain, System and Control Letters, Vol. Vol 7, No. No 5, pp. pp 343-350, April, 1986.
Bibtex Edit

[90]

Bitmead, R.R and Tsoi, A.C. and Parker, P.J., A Kalman filtering approach to short-time Fourier analysis, IEEE Trans. Acoustics Speech & Signal Processing, Vol. Vol 34, pp. pp 1493-1500, December, 1986.
Bibtex Edit

[91]

J. J.~Hopfield and D. W.~Tank, Computing with neural circuits: A model, Science, Vol. 233, pp. 625--633, 1986.
Bibtex Edit

[92]

Kobe, M.U. and Tsoi, A.C., Modelling of domestic hot water heater load from on-line operating records, and some applications, Proc. IEE, Vol. Vol 133 Part C, pp. pp 336-346, 1986.
Bibtex Edit

[93]

Tsoi, A.C. and Patel, D.K., A speech entry data logger, Int. J. Electronics, Vol. Vol 61, pp. pp 169-190, May, 1986.
Bibtex Edit

[94]

E. M. Voorhees, Implementing agglomerative hierarchical clustering algorithms for use in docement retrieval, Information Processing and Managemeny, Vol. 22, pp. 465--476, 1986.
Bibtex Edit

[95]

Tsoi, A.C. and Anderson, B.D.O., d-step lattice-ladder predictor in terms of 1-step lattice-ladder predictors, IEEETrans. Aut. Control, pp. pp 464-465, April, 1984.
Bibtex Edit

[96]

Anderson, B.D.O. and Tsoi, A.C., Connecting forward and backward autoregressive models, IEEE Trans. Aut.Control, pp. pp 917-926, October, 1984.
Bibtex Edit

[97]

Gevers, M. and Tsoi, A.C., Structural identification of linear multivariable systems using overlapping forms: a new representation, Int. J. Control, Vol. Vol 40, No. No 5, pp. pp 971-481, 1984.
Bibtex Edit

[98]

Nagy, G. and Seth, S., Hierarchical Representation Of Optically Scanned Documents, Seventh international conference on pattern recognition, pp. 347-349, 1984.
Bibtex Edit

[99]

Prather,R.E., An axiomatic theory of software complexity research, The Computer Journal, Vol. 27, pp. 340-346, 1984.
Bibtex Edit

[100]

Tsoi, A.C., Distributed Process Control - an overview and some predictions, Automation and Control, January, 1983.
Bibtex Edit

[101]

Tsoi, A.C. and Kobe, M.U., Load forecasting in a power system from a supply authority point of view, ElectricPower System Research, Vol. vol 6, pp. pp 147-159, 1983.
Bibtex Edit

[102]

Tsoi, A.C., Adaptive prediction of an ARMA lattice, Electronics Letters, Vol. Vol 18, pp. pp 222 - 224, 1982.
Bibtex Edit

[103]

Bunke, H., Attributed graph grammars and their application to schematic diagram interpretation, IEEE Trans. PAMI 4, pp. 574-582, 1982.
Bibtex Edit

[104]

Tsoi, A.C., Inverse Jury-Blanchard table and its applications to the inverse stability problem, ElectronicsLetters, Vol. Vol 17, pp. pp 830-831, 1981.
Bibtex Edit

[105]

Shafi, M. and Tsoi, A.C., A correlator based on delta modulation for linear and nonlinear system identification, Int. J. Electronics, Vol. Vol 5, No. No 5, pp. 371 - 384, May, 1981.
Bibtex Edit

[106]

You, K.C. and Fu, K.S., Distorted shape recognition using attributed grammars and error-correcting techniques, Computer Graphics and Image Processing, Vol. 13, pp. 1-16, 1980.
Bibtex Edit

[107]

Tang, G.Y., A syntactic-semantic approach to image understanding and creation, IEEE Trans. PAMI 1, pp. 135-144, 1979.
Bibtex Edit

[108]

Tsoi, A.C., Inverse Routh Hurwitz array, solution to inverse stability problem, Electronics Letters, Vol. Vol 15, pp. 575-576, 1979.
Bibtex Edit

[109]

Pavlidis, T. and Ali, F., A hierarchical syntactic shape anaylser, IEEE Trans. PAMI 1, pp. 2-9, 1979.
Bibtex Edit

[110]

McCabe, A Complexity Measure, IEEE Transactions on Software Engineering, Vol. 2, pp. 308-320, 1976.
Bibtex Edit

[111]

Tsoi, A.C., Minimal realization of linear systems, Int. J. Control, Vol. Vol 23, pp. 575-585, 1976.
Bibtex Edit

[112]

Tsoi, A.C., An explicit solution of a class of neutral delay-differential equations, Int. J. Control, Vol. Vol 22, pp. 787-799, 1975.
Bibtex Edit

[113]

Tsoi, A.C., An explicit solution of a class of delay-differential equations, Int. J. Control, Vol. Vol 21, pp. 39-48, 1975.
Bibtex Edit

[114]

Tsoi, A.C., An explicit solution of a functional differential equation, Int. J. Control, Vol. Vol 22, pp. 869-875, 1975.
Bibtex Edit

[115]

Tsoi, A.C. and Power, H.M., A generalization of the Nyquist criterion to a class of nonlinear systems, IEEE Trans. Aut. Control, Vol. Vol AC-19, pp. 251-252, 1974.
Bibtex Edit

[116]

Tsoi, A.C. and Power, H.M., Improving the prediction of the circle criterion by combining quadratic forms, IEEE Trans. Aut. Control, Vol. Vol AC-18, pp. 65-67, 1973.
Bibtex Edit

[117]

Tsoi, A.C. and Power, H.M., Equivalent predictions of the circle criterion and an optimal quadratic form for a second order system, IEEE Trans. Aut. Control, Vol. Vol AC-17, pp. 565-566, 1972.
Bibtex Edit

[118]

Feder, T., Plex languages, Info. Sciences 3, pp. 225-241, 1971.
Bibtex Edit

[119]

Power, H.M. and Tsoi, A.C., Lyapunov matrix equation with complex matrices, Electronics Letters, Vol. Vol 6, pp. 248-249, 1970.
Bibtex Edit

[120]

W. Pitts W. S. McCulloch, A Logical Calculus of Ideas Immanent in Nervous Activity, Bulletin of Mathematical Biophysics, Vol. 5, pp. 115--133, 1943.
Bibtex Edit

[121]

A. Turing, On Computable Numbers, with an application to the Entscheidungsproblem, Proc. Lond. Math. Soc., pp. 230-265, 1936-7.
Bibtex Note Edit

[122]

Costa, F. and Frasconi, P. and Lombardo, V. and Soda, G., Towards Incremental Parsing of Natural Language using Recursive Neural Networks, Applied Intelligence, To appear.
Bibtex Edit

[123]

Lawrence, S. L. and Giles, C. L. and Back, A. D. and Tsoi, A. C., The Gamma MLP - Multiple Temporal Resolutions, the Curse of Dimensionality, and Gradient Descent Learning, NeuralComputation, to appear.
Bibtex Edit

[124]

Teng, F. C. and Tsoi, A. C., Real-Time Fuzzy Logic Control of Double Link Inverted Pendulum, Microprocessors & Microsystems, accepted for publications.
Bibtex Edit

Proceedings:

[1]

Aiolli, F. and Martino, G.D.S. and Sperduti, S. and Hagenbuchner, M., Kernelized Self-Organizing Maps for Structured Data, European Symposium on Artificial Neural Networks, 25-27 April, 2007.
Bibtex Note Edit

[2]

Trentini, F. and Hagenbuchner, M. and Sperduti, A. and Scarselli, F. and Tsoi, A.C., A Self-Organising Map Approach for Clustering of XML Documents, International Joint Conference on Neural Networks, 2006.
Bibtex Edit

[3]

Hagenbuchner, M. and Sperduti, A. and Tsoi, A.C. and Trentini, F. and Scarselli, F. and Gori, M., Clustering XML Documents using Self-Organizing Maps for Structures, Lecture Notes in Computer Science, Springer, 2006.
Bibtex Pdf Edit

[4]

Yong, S.L. and Hagenbuchner, M. and Tsoi, A.C. and Scarselli, F. and Gori, M., XML Document Mining using Graph Neural Network, INitiative for the Evaluation of XML Retrieval (INEX), Workshop at Schloss Dagstuhl, Germany, 18-20 December, 2006.
Bibtex Edit

[5]

KC, M. and Hagenbuchner, M. and Tsoi, A.C. and Scarselli, F. and Gori, M. and Sperduti, S., XML Document Mining using Contextual Self-Organizing Maps for Structures, INitiative for the Evaluation of XML Retrieval (INEX), Workshop at Schloss Dagstuhl, Germany, 18-20 December, 2006.
Bibtex Edit

[6]

Gori, M. and Hagenbuchner, M. and Scarselli, F. and Tsoi, A.C. and Pucci, A., Applications of Graph Neural Networks to Large-Scale Recommender Systems, Some Results, International Symposium Advances in Artificial Intelligence and Applications, Wisla, Poland, November, 2006.
Bibtex Edit

[7]

Hagenbuchner, M. and Sperduti, A. and Tsoi, A.C., Contextual Processing of Graphs using Self-Organizing Maps, European symposium on Artificial Neural Networks, series Poster track, Bruges, Belgium, 27 - 29 April, 2005.
Bibtex Abstract Pdf Poster Edit

[8]

Tsoi, A.C. and Scarselli, F. and Gori, M. and Hagenbuchner, M and Yong, S.L., A Neural Network Approach to Web Graph Processing, The Seventh Asia Pacific Web Conference, series Lecture Notes in Computer Science, Springer Verlag, editor Zhang, Y. and Tanaka, K. and Yu, J. X. and Wang, S. and Li, M., pp. pp 27 - 38, Shanghai, China, March 29, 2005.
Bibtex Note Edit

[9]

Scarselli, F. and Yong, S.L. and Hagenbuchner, M. and Tsoi, A.C., Adaptive Page Ranking with Neural Networks, 14th International World Wide Web conference, series Alternate track papers and posters, pp. 936-937, Chiba city, Japan, May, 2005.
Bibtex Note Abstract Pdf Poster Edit

[10]

Chiang, W.T. and Hagenbuchner, M. and Tsoi, A.C., The WT10G dataset and the evolution of the Web, 14th International World Wide Web conference, series Alternate track papers and posters, pp. 938-939, Chiba city, Japan, May, 2005.
Bibtex Abstract Pdf Poster Edit

[11]

Hagenbuchner, M. and Sperduti, A. and Tsoi, A.C., Contextual Self-Organizing Maps for Structured Domains, Workshop on Relational Machine Learning, 2005.
Bibtex Pdf Slides Edit

[12]

Scarselli, F. and Yong, S.L. and Gori, M. and Hagenbuchner, M. and Tsoi, A.C. and Maggini, M., Graph Neural Networks for Ranking Web Pages, Web Intelligence Conference, 2005.
Bibtex Abstract Pdf Edit

[13]

Trentini, F. and Hagenbuchner, M. and Sperduti, A. and Tsoi, A.C. and Scarselli, F. and Gori, M., Clustering XML Documents using Self-Organizing Maps for Structures, INitiative for the Evaluation of XML Retrieval (INEX), http://xmlmining.lip6.fr/articles.html, 28-30 November, 2005.
Bibtex Edit

[14]

Scarselli, F. and Tsoi, A.C. and Hagenbuchner, M., Computing Personalized PageRanks, The 13th International World Wide Web Conference, series Alternate track papers and posters, pp. 382, New York City, USA, May, 2004.
Bibtex Abstract Pdf Poster Edit

[15]

Ma, L. S. and Tsoi, A. C., A continuous time balanced parameterization approach to multichannel blind deconvolution, Independent Component Analysis and Blond Signal Separation, series Lecture Notes in Computer Science, Springer Verlag, editor C. G. Puntonelt, A. Prieto, Vol. Vol 3195, pp. pp 516 - 523, 2004.
Bibtex Edit

[16]

Tsoi, A.C. and Zhang, S. and Hagenbuchner, M., Building a Hierarchical Hidden Markov Model An Application of Health Insurance Data, 3rd Australasian Data Mining Conference, pp. 215-230, December, 2004.
Bibtex Abstract Pdf Edit

[17]

Hagenbuchner, M. and Tsoi, A.C., A Supervised Self-Organizing Map for Structures, International Joint Conference on Neural Networks, Vol. 3, pp. 1923-1928, Budapest, Hungary, 25-29 July, 2004.
Bibtex Abstract Pdf Edit

[18]

Franco Scarselli and Ah Chung Tsoi and Marco Gori and Markus Hagenbuchner, Graphical-Based Learning Environments for Pattern Recognition., SSPR/SPR, pp. 42-56, August, 2004.
Bibtex Note Pdf Edit

[19]

Ma, L. S. and Tsoi, A. C., Multichannel blind deconvolution using a generalised exponential source model, Proc Independent Component Analysis Conference, ICA2003, Nara, Japan, April, 2003.
Bibtex Edit

[20]

Tsoi, A. C. and Ma, L. S., Blind deconvolution of dynamical systems using a balanced parameterised state space approach, Proc Intern. Conf. on Acoustics, Speech and Signal Processing, Hong Kong, April, 2003.
Bibtex Edit

[21]

Tsoi, A. C. and Ma, L. S., Flexible Multichannel Blind Deconvolution, An Investigation, IEEE Neural Network for Signal Processing, Toulouse, France, September, 2003.
Bibtex Edit

[22]

Diligenti, M and Gori, M and Maggini, M and Scarselli, F and Tsoi, A C, An introduction to learning in web domains, Proc European Symposium on Artificial Neural Networks, April, 2003.
Bibtex Edit

[23]

Hagenbuchner, M and Tsoi, A. C., A supervised self-organizing map for structures, Artificial Neural Networks for Pattern Recognition, an International workshop, Florence, Italy, September, 2003.
Bibtex Pdf Edit

[24]

Tsoi, A.C. and Forsali, D. and Gori, M. and Hagenbuchner, M. and Scarselli, F., A Simple Focused Crawler, The Twelfth International World Wide Web Conference, Budapest, Hungary, May, 2003.
Bibtex Abstract Html Edit

[25]

Tsoi, A.C. and Morini, G. and Scarselli, F. and Hagenbuchner, M. and Maggini, M., Adaptive Ranking of Web Pages, The Twelfth International World Wide Web Conference, Budapest, Hungary, May, 2003.
Bibtex Abstract Html Edit

[26]

Frasconi, P. and Soda, G. and Vullo, A., Hidden Markov Models for Text Categorization in Multi-Page Documents, Journal of Intelligent Information Systems, (special issue on Automated Text Categorization, series 18, No. 2/3, pp. 195--217, 2002.
Bibtex Edit

[27]

Wang, Z. and Hagenbuchner, M. and Tsoi, A.C. and Cho, S.Y. and Chi, Z., Image Classification with Structured Self-Organizing Map, IJCNN, Vol. 2, pp. 1918-1923, Honolulu, Hawaii, USA, May 12-17, 2002.
Bibtex Abstract Edit

[28]

Diligenti, M. and Gori, M. and Maggini, M. and Martinelli, E., Adaptive graphical pattern recognition for the classification of company logos, Pattern Recognition, Vol. 34(10), pp. 2049-2061, 2001.
Bibtex Edit

[29]

Tsoi, A. C., Structure of the Internet?, Proc of International Symposium on Intelligent Multimedia, Video and Speech Processing, pp. pp 449-452, Hong Kong, May 2-4, 2001.
Bibtex Edit

[30]

Foggia, P. and Sansone, C. and Vento, M., A Database of Graphs for Isomorphism and Sub-Graph Isomorphism Benchmarking, Workshop on Graph-based Representations in Pattern Recognition, editor Jolion, J.M. and Kropatsch, W.G. and Vento, M., pp. 176-187, 2001.
Bibtex Edit

[31]

Bianchini, M. and Gori, M. and Scarselli, F., Processing directed acyclic graphs with recursive neural networks, IEEE Transactions on Neural Networks, Vol. 12, no. 6, pp. 1464-1470, 2001.
Bibtex Edit

[32]

A. Micheli and A. Starita and A. Sperduti and A.M. Bianucci, Design of New Biologically Active Molecules by Recursive Neural Networks, IJCNN'2001 - Proceedings of the INNS-IEEE International Joint Conference on Neural Networks, Vol. 4,, pp. 2732--2737, 2001.
Bibtex Edit

[33]

Appiani, E. and Cesarini, F. and Colla, A.M. and Diligenti, M. and Gori, M. and Soda, G., Automatic document classification and indexing in high-volume applications, IJDAR, Vol. 4(2), pp. 69-83, 2001.
Bibtex Edit

[34]

Hagenbuchner, M. and Gori, M. and Bunke, H. and Tsoi, A.C. and Irniger, C., Generation of Image Databases using Attributed Plex Grammars, 3rd Workshop on Graph-based Representations in Pattern Recognition, editor Jolion, J.M. and Kropatsch, W.G. and Vento, M., pp. 200-209, 2001.
Bibtex Abstract Pdf Edit

[35]

T. Voegtlin, Context Quantization and Contextual Self-Organizing Maps, Proc. Int. Joint Conf. on Neural Networks, Vol. VI, pp. 20-25, 2000.
Bibtex Edit

[36]

Tsoi, A.C. and Hagenbuchner, M. and Micheli, A., Building MLP Networks by Construction, IJCNN'2000 - Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IEEE Computer Society Press), Vol. Volume: 4, pp. pp. 549-554, July, 2000.
Bibtex Abstract Pdf Edit

[37]

Barlow, M. and Watson, B. and Tsoi, A. C. and Downs, T., A priori selection of cohort sets for a speaker verification system: issues and insights, Eighth Australian International Conference on Speech Science & Technology, Canberra, Australia, December, 2000.
Bibtex Edit

[38]

Bianchini, M. and Gori, M. and Scarselli, F., Computation Capabilities of Linear Recursive Networks, Proceedings of KES 2000, pp. 462-465, Brighton (UK), 2000.
Bibtex Edit

[39]

Frasconi, P. and Costa, F. and Soda, G., A Topological Transformation for Hidden Recursive Models, European Symposium on Artificial Neural Networks ESANN, 1999.
Bibtex Edit

[40]

Hagenbuchner, M. and Tsoi, A.C., A Benchmark for Testing Adaptive Systems on Structured Data, 7th European Symposium on Artificial Neural Networks, series ISBN 2-9600049-9-X, D-Facto, editor Michel Verleysen, pp. pp. 63-68, Bruges, Belgium, April, 1999.
Bibtex Abstract Pdf Edit

[41]

H. A. Kestler and S. Simon and A. Baune and M. Hagenbuchner and F. Schwenker and G. Palm, A Hierarchical Neural Object Classifier for Subsymbolic-Symbolic Coupling, Mustererkennung 1999, series DAGM Symposium, Springer, Vol. 21, pp. 27--35, September, 1999.
Bibtex Annotation Edit

[42]

C. Goller and M. Gori and M. Maggini, Feature Extraction from Data Structures with Unsupervised Recursive Neural Networks, Proceedings of the International Joint Conference on Neural network IJCNN'99, pp. 425--432, Washington,DC USA, July, 1999.
Bibtex Abstract Edit

[43]

Tsoi, A. C., Adaptive Processing of Data Structures, International Conf on Intelligent Systems, and Multimedia, Delhi, September, 1999.
Bibtex Edit

[44]

Gori, M. and Küchler, A. and Soda, G., On the implementation of frontier-to-root tree automata in recursive neural networks., IEEE Transactions on Neural Networks, Vol. 10(6), pp. 1305-1314, November, 1999.
Bibtex Edit

[45]

Wong, P.K. and Chan, C., Off-Line Handwritten Chinese Character Recognition as a Compound Bayes Decision Problem, Pattern Analysis and Machine Intelligence, Vol. 20 No. 9, September, 1998.
Bibtex Edit

[46]

T. Schmitt and C. Goller, Relating chemical structure to activity with the structure processing neural folding architecture, In Engineering Applications of Neural Networks, 1998.
Bibtex Edit

[47]

P. Indyk and R. Motwani, Approximate Nearest Neighbors: Towards Removing the Curse of Dimensionality, Proc. 30th Symposium on Theory of Computing (STOC'98), pp. 604--613, 1998.
Bibtex Edit

[48]

M. Diligenti and M. Gori and M. Maggini and E. Martinelli, Adaptive Graphical Pattern Recognition: the Joint Role of Structure and Learning, Proceedings of the International Conference on Adavances in Pattern Recognition ICAPR98, Springer, pp. 425--432, Plymouth, UK, November, 1998.
Bibtex Abstract Edit

[49]

A.M. Bianucci and A. Micheli and A. Sperduti and A. Starita, Quantitative Structure-Activity Relationships of Benzodiazepines by Recursive Cascade Correlation, IEEE Processing of IJCNN'98- IEEE World Congress on Computational Intelligence, pp. 117-122, Anchorage, Alaska, May, 1998.
Bibtex Edit

[50]

Tsoi, A. C., Application of game theory to the electricity pricing problem, Proc ARC Workshop on Emerging Issues and Methods in the Restructuring of the Electric Power Industry, editor K P Wong, pp. pp 175--184, 1998.
Bibtex Edit

[51]

Hammer, B., On the Approximation Capability of Recurrent Neural Networks, Proc. of the International ICSC/IFAC Symposium on Neural Computation, pp. 512-518, 1998.
Bibtex Edit

[52]

Bishop, C.M. and Svensén, M. and Williams, C.K.I., GTM: The Generative Topographic Mapping, Neural Computation, pp. 215-234, January, 1998.
Bibtex Edit

[53]

Back, A. D. and Horne, B. and Tsoi, A. C. and Giles, C. L., Low sensitivity time delay neural networks with cascade form structure, Neural Network for Signal Processing VII, Proceedings of 1997 Workshop, pp. pp 44 -- 53, 1997.
Bibtex Edit

[54]

D. Merkl, Exploration of text collections with hierarchical feature maps, Proc. 20th. Ann. Int. ACM/SIGIR Conf. on R & D In Information Retrieval, pp. 186--195, 1997.
Bibtex Edit

[55]

Lawrence, S. and Back, A. D. and Tsoi, A. C. and Giles, C. L., The gamma MLP using multiple temporal resolutions for improved classifications, Neural Network for Signal Processing VII, Proceedings of 1997 Workshop, pp. pp 256 -- 265, 1997.
Bibtex Edit

[56]

Giles, C. L. and Lawrence, S. and Tsoi, A. C., Rule extraction for financial prediction using recurrent neural networks, Proc IEEE/IAFE Conf on Computational Intelligence for Financial Engineering, IEEE Press, pp. pp 253, 1997.
Bibtex Edit

[57]

T. Kohonen, Exploration of very large databases by self-organizing maps, IEEE International Conference on Neural Networks, pp. 1--6, 1997.
Bibtex Edit

[58]

A.I. Gonzalez and M. Graña and A. D'Anjou and F.X. Albizuri and M. Cottrell, A sensitivity analysis of the Self Organizing Map as an Adaptive One-pass Non-stationary Clustering algorithm: the case of Color Quantization of image sequences, Neural Processing Letters, Vol. 6, pp. 77-89, 1997.
Bibtex Edit

[59]

P. Frasconi and M. Gori and A. Sperduti, On the Efficient Classification of Data Structures by Neural Networks, IJCAI, pp. 1066-1071, 1997.
Bibtex Edit

[60]

M. Varsta and J. Del and R. Millan and J. Heikkonen, A recurrent Self-Organizing Map for temporal sequence processing, Proc. 7th Int. Conf. Artificial Neural Networks, ICANN'97, pp. 421--426, 1997.
Bibtex Edit

[61]

B. Hammer and V. Sperschneider, Neural Networks can approximate Mappings on Structured Objects, Proc. 2nd International Conference on Computational Intelligence and Neuroscience (ICCIN'97), Vol. VOL. 2, pp. 211-214, 1997.
Bibtex Edit

[62]

P. Colantoni and B. Laget, Color image segmentation using region adjacency graphs, Proceedings of the sixth conference on Image Processing and its Applications, series IEE, Vol. 443, pp. 698-702, Dublin, July, 1997.
Bibtex Edit

[63]

Frasconi, P. and Francesconi, E. and Gori, M. and Marinai, S. and Sheng, J.Q. and Soda, G. and Sperduti A., Logo Recognition by Recursive Neural Networks, Second International Workshop on Graphics Recognition, GREC`97, Springer-Verlag, editor Kasturi, R. and K. Tombre, LNCS, pp. 104-117, 1997.
Bibtex Edit

[64]

Schulz, S. and Küchler, A. and Goller, C., Some Experiments on the Applicability of Folding Architecture Networks to Guide Theorem Proving, Proceedings of the 10th FLAIRS Conference, Daytona Beach, editor D.D. II, pp. 377-381, 1997.
Bibtex Edit

[65]

P. Frasconi and M. Gori and M. Maggini and E. Martinelli and G. Soda, Inductive Inference of Tree Automata by Recursive Neural Networks, Proceedings of the Fifth Congress of the Italian Association for Artificial Intelligence, Springer-Verlag, pp. 36--47, Rome, Italy, September, 1997.
Bibtex Abstract Edit

[66]

A. Jain and N. Ratha and S. Lakshmanan, Object detection using Gabor filters, Pattern Recognition, Vol. 30, pp. 295-309, 1997.
Bibtex Edit

[67]

Hammer, B. and Sperschneider, V., Neural Networks can Approximate Mappings on Structured Objects, Second International Conference on Computational Intelligence and Neuroscience, March, 1997.
Bibtex Edit

[68]

Sperduti, A. and Starita, A., A Memory Model Based on LRAAM for Associative Access of Structures, Proceedings of IEEE International Conference on Neural Networks, Vol. 1, pp. 543--548, June 2-6, 1996.
Bibtex Edit

[69]

Teng, F. C. and Tsoi, A. C., Parameter Optimization Based Decouplers, Proc 1996 IEEE International Conference on Systems, Man and Cybernetics, Vol. Vol 3, pp. pp 2417 - 2421, October, 1996.
Bibtex Edit

[70]

Lawrence, S. and Tsoi, A. C. and Back, A. D., Function approximation with neural networks and local methods: Bias, Variance and Smoothness, Proc Aust Conf on Neural Networks, pp. pp 16 - 21, Canberra, Australia, 1996.
Bibtex Edit

[71]

Lawrence, S. and Tsoi, A. C. and Giles, C. L., Correctness, Efficiency, Extendability and Maintainability in Neural Network Simulation, Proc International Conf on Neural Networks, pp. pp 474 - 47, Washington, 1996.
Bibtex Edit

[72]

Back, A. D. and Tsoi, A.C., A new robust recurrent neural network structure, Proc Seventh Aust Conf on Neural Networks, pp. pp 138 -- 143, Canberra, Australia, 1996.
Bibtex Edit

[73]

Back, A. D. and Tsoi, A. C., Aspects of adaptive learning algorithms for FIR feedforward networks, Proc International Conf on Neural Information Processing, Vol. Vol 2, pp. pp 1311-- 1316, 1996.
Bibtex Edit

[74]

Back, A. D. and Tsoi, A. C., A cascade neural network model with nonlinear poles and zeros, Proc of 1996 International Conf on Neural Information Processing, Vol. Vol 1, pp. pp 486 -- 491, 1996.
Bibtex Edit

[75]

Chan, A. K. and Tsoi, A. C. and Back, A. D., A new worst case training algorithm for RBF neural networks, Proc of 1996 Int Conf on Neural Information Processing Conference, Hong Kong, 1996.
Bibtex Edit

[76]

Goller, C. and Küchler, A., Learning Task-Dependent Distributed Representations by Backpropagation Through Structure, Proceedings of the IEEE International Conference on Neural Networks (ICNN'96), pp. 347-352, 1996.
Bibtex Edit

[77]

Lawrence, S. and Tsoi, A. C. and Giles, C. L., Local Minima and Generalization, Proc International Conference on Neural Networks, pp. pp 371 - 376, Washington, 1996.
Bibtex Edit

[78]

Goller, Christoph and Küchler, Andreas, Learning Task-Dependent Distributed Representations by Backpropagation Through Structure, Proceedings of the IEEE International Conference on Neural Networks (ICNN'96), pp. 347--352, 1996.
Bibtex Edit

[79]

N. Dunkin, J. Shawe-Taylor, P. Koiran, A New Incremental Learning Technique, WIRN VIETRI- 96 Springer, pp. pp 112-118, 1996.
Bibtex Edit

[80]

Sperduti, A., Neural Networks for the Classification of Structures, ECAI'96, series Workshop on Neural Networks and Structured Knowledge (NNSK) in Budapest, Aug. 12, 1996.
Bibtex Edit

[81]

Küchler, A. and Goller, C., Learning task-dependent distributed structure representation by backpropagation through structure, IEEE International Conference on Neural Networks, pp. 347-352, 1996.
Bibtex Edit

[82]

Lawrence, S. and Giles, C. L. and Tsoi, A. C., Convolutional Neural Networks for Face Recognition, Proc Computer Vision and Pattern recognition., pp. pp 217 - 222, Washington, 1996.
Bibtex Edit

[83]

Lawrence, S. and Tsoi, A. C. and Back, A. D., Gamma networks for phoneme recognition, Advances in Neural Information Processing Systems, MIT Press, Vol. Vol 8, pp. pp 785--791, 1995.
Bibtex Edit

[84]

Tsoi, A. C., The role of self organization in evolutionary computing, Proc First Korea - Australia Joint Workshop on Evolutionary Computation, KAIST, Korea, 26 - 29 September, 1995.
Bibtex Edit

[85]

Tsoi, A. C., The role of self organization in evolutionary computing, Proc Aust Korea Joint Workshop on Evolutionary Computation, September, 1995.
Bibtex Edit

[86]

Teng, F. C. and Tsoi, A. C., Extended forward modelling controller, Proc Neural Parallel & Scientific Computations, Dynamic Publishers Inc USA (PO Box 48654, Atlanta, Georgia, 30362-0654, editor Atiyah, S.K. and Grujic, L.T. and Hathaway, R.J. and Ladde, G.J. and Medhin, N. andSambandham, M, Vol. Vol 1, pp. pp 453 - 458, 1995.
Bibtex Note Edit

[87]

Back, A. D. and Tsoi, A. C., Constrained Pole-Zero Filters as Discrete-Time Operators for System Approximation, IEEE Workshop on Neural Networks for Signal Processing, pp. pp 191 -- 200, Cambridge MA, 1995.
Bibtex Edit

[88]

Back, A. D. and Tsoi, A. C., A comparison of discrete-time operator models for nonlinear system identification, Advances in Neural Information Processing Systems 7, MIT Press, editor G. Tesauro, D. S. Touretzky and T. K. Leen, pp. pp 883 -- 890, Cambridge MA, 1995.
Bibtex Edit

[89]

Lotfi, A. and Andersen, H.C. and Tsoi, A.C., Constrained adaptive fuzzy inference systems, International Discourse on Fuzzy Logic, and Management of Complexity (FLAMOC'96), Vol. Vol 2, Sydney, Australia, December, 1995.
Bibtex Edit

[90]

Back, A. C. and Tsoi, A. C., Identification of nonlinear processes using Laguerre functions, Proc. Intern. Conf. on Engineering Applications of Neural Networks, Helsinki, Finland, 1995.
Bibtex Edit

[91]

Back, A. D. and Tsoi, A.C., Preprocessing in models for time series prediction and estimation, Machine that Learn (Neural Networks for Computing), Snowbird, Utah, April 4-7, 1995.
Bibtex Edit

[92]

Sergejew, A. and Tsoi, A. C., Markovian Analysis of EEG Signal Dynamics in Obsessive-Compulsive Disorder, Proc Bat Sheva Conf., editor I Gath, Technion, Israel, March, 1995.
Bibtex Edit

[93]

Srihari, S.N. and Shin, Y.C. and Ramanaprasad, V. and Lee, D.S., Name and Address Block Reader System for Tax Form Processing, ICDAR95, pp. 5-10, 1995.
Bibtex Edit

[94]

Sperduti, A. and Starita A. and Goeller, C., Learning distributed representations for the classification of terms, Proceedings of the International Joint Conference on Artificial Intelligence, pp. 509-515, 1995.
Bibtex Edit

[95]

Lotfi, A. and Andersen, H.C. and Tsoi, A.C., Towards matrix formulation of fuzzy rule--based systems, Soft computing; Rough sets, Fuzzy logic, Neural Networks, Uncertainty Management and Knowledge Discovery, editor Lin, T.Y. and Wildberger, A.M., pp. pp 146--149, 1995.
Bibtex Note Edit

[96]

A. Sperduti and A. Starita, A General Learning Framework for the RAAM Family, 7th Italian Workshop on Neural Networks (WIRN), Vietri sul Mare, World Scientific, editor M. Marinaro and R. Tagliaferri, pp. 136-141, 1995.
Bibtex Edit

[97]

Tsoi, A. C. and Back, A. D., The role of orthogonal polynomials in neural network application to system identification., Proc 1995 International Symposium on Artificial Neural Networks, pp. pp IS-32 to IS-37, Taiwan, December, 1995.
Bibtex Note Edit

[98]

A. Sperduti and A. Starita and C. Goller, Learning Distributed Representations for the Classification of Terms, Proceedings of the International Joint Conference on Artificial Intelligence, pp. 509--515, 1995.
Bibtex Edit

[99]

A. Sperduti, Encoding of Labeled Graphs by Labeling RAAM, Advances in Neural Information Processing Systems 6, San Mateo, CA: Morgan Kaufmann, editor J. D. Cowan and G. Tesauro and J. Alspector, pp. 1125--1132, 1994.
Bibtex Edit

[100]

Cherqaoui, D. and Villemin, J., Use of a Neural Network to Determine the Boiling Point of Alkanes, Journal of the Chemical Society Faraday Transactions, pp. 97-102, 1994.
Bibtex Edit

[101]

Gerlache, M. de and Sperduti, A. and Starita, A., Encoding Conceptual Graphs by Labeling RAAM, International Conference on Artificial Neural Networks, Sorrento, Italy, pp. 272-275, 1994.
Bibtex Edit

[102]

Lotfi, A. and Andersen, H.C. and Tsoi, A. C., Towards matrix formulation of fuzzy rule-based systems, Proceeding of the Third International Workshop on Rough Sets and Soft Computing, pp. pp 252-261, San Jose State University, San Jose, CA, November, 1994.
Bibtex Edit

[103]

Back, A. D. and Tsoi, A. C., Alternative discrete-time operators in neural networks for nonlinear prediction, Proc. Second Australian and New Zealand Conference on Intelligent Information Systems, IEEE Press, editor J Sitte et al., pp. pp 14 -- 17, 1994.
Bibtex Edit

[104]

Back, A. D. and Wan, E. and Lawrence, S. and Tsoi, A. C., A unifying view of some training algorithms for multilayer perceptrons with FIR filter synapses, Neural Networks for Signal Processing 4, IEEE Press, editor J. Vlontzos, J. Hwang and E. Wilson, pp. pp 146-154, 1994.
Bibtex Edit

[105]

Tsoi, A C and Back, A D, Discrete Time Operator Models for recurrent Neural Networks, IFAC Workshop on Safety, Reliability and Applications of Emerging Intelligent Control Technologies, Hong Kong, December, 1994.
Bibtex Edit

[106]

Tsoi, A.C. and Shrimpton, D. and Watson, B. and Back, A.D., Application of Artificial Neural Network Techniques to Speaker Verification, Proc. ESCA Workshop on Automatic Speaker Recognition, Identification, and Verification, April, 1994.
Bibtex Edit

[107]

Tsoi, A. C. and Back, A. D., Static and dynamic preprocessing methods in neural networks, IFAC Workshop on Emerging Intelligent Control Techniques, Hong Kong, 1994.
Bibtex Note Edit

[108]

K. Saarinen, Color image segmentation by a watershed algorithm and region adjacency graph processing, International Conference on Image Processing, pp. 1021-1025, 1994.
Bibtex Edit

[109]

Back, A. D. and Tsoi, A. C., Blind deconvolution of signals using a complex recurrent network, Neural Networks for Signal Processing 4, IEEE Press, editor J. Vlontzos, J. Hwang and E. Wilson, pp. pp 565-574, 1994.
Bibtex Edit

[110]

A. Sperduti, Labeling RAAM, Connection Science, series 6, No. 4, pp. 429-459, 1994.
Bibtex Edit

[111]

Back, A. D. and Tsoi, A. C., On the backpropagation algorithm: paralysis in multilayer perceptrons, Proc Australian Conference on Neural Networks, pp. pp 102-104, 1994.
Bibtex Edit

[112]

Lotfi, A. and Tsoi, A. C., Importance of membership functions: A comparative study on different learning methods for fuzzy inference systems, Proceeding of the Third IEEE International Conference on Fuzzy Systems, pp. pp 1791-1796, Orlando, Florida, June, 1994.
Bibtex Edit

[113]

Sontag, E., Neural Networks for Control, In Essay on Control: Perspectives in the Theory and its Applications, Ed. Birkhauser, Boston, editor Trentelman, H.L. and Willems, J.C., pp. pp. 339-380, 1993.
Bibtex Edit

[114]

A. Sperduti and A. Starita, An Example of Neural Code: Neural Trees Implemented by LRAAMs, Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, Springer, editor N .C. Steele R. F. Albrecht, C. R. Reeves, pp. 33--39, Innsbruck, Austria, feb,, 1993.
Bibtex Edit

[115]

Lotfi, A. and Tsoi, A.C., Redundant rule elimination using an adaptive membership function scheme through expert knowledge and exemplars, Proceedings Australia and New Zealand Conf on Intelligent Information Systems (ANZIIS'93), pp. pp 448--452, Perth, Western Australia, December, 1993.
Bibtex Edit

[116]

Lotfi, A. and Tsoi, A.C., Adaptive membership function scheme for fuzzy inference systems, Proceedings of the First Asian Fuzzy Systems Symposium, pp. pp 628--636, Inst of System Sciences, National Univ of Singapore, Singapore, November, 1993.
Bibtex Edit

[117]

Lotfi, A. and Tsoi, A. C., Adaptive membership function scheme for fuzzy inference systems, Proceeding of the First Asian Fuzzy Systems Symposium, pp. pp 628-636, ISS, National University of Singapore, Singapore, November, 1993.
Bibtex Edit

[118]

Lotfi, A. and Tsoi, A. C., Redundant rule elimination using an adaptive membership function scheme through expert knowledge and exemplars, Proceeding Australia and New Zealand conference on Intelligent Information Systems (ANZIIS93), pp. pp 448-452, Perth, WA, December, 1993.
Bibtex Edit

[119]

Tsoi, A. C. and Tan, C. N. W. and Lawrence, S., Financial Time Series Forecasting, Application of Recurrent Artificial Neural Network Techniques, Proc of First International Workshop Neural Network in the Capital Market, London Business School, editor A. N. Refenes, London United Kingdom, Nov 18-19, 1993.
Bibtex Edit

[120]

Tsoi, A. C. and Tan, C. and Lawrence, S., Financial Time Series Forecasting: Application of Artificial Neural Network Techniques, Proc Intern Symp on Nonlinear Theory and its applications, pp. pp 1039 - 1044, Hawaii, December, 1993.
Bibtex Edit

[121]

Ma, M. and Tsoi, A. C., Error bounds for approximation by feedforward neural networks, Proc Fourth Aust Conf on Neural Networks, pp. pp 94 -97, Melborne, Australia, February, 1993.
Bibtex Edit

[122]

Lovell, D. and Simon, D. and Tsoi, A C, Improving the performance of the neocognitron, Fourth Aust Conf on Neural Networks, pp. pp 22 - 25, Melborne, Australia, February, 1993.
Bibtex Edit

[123]

Riedmiller, M. and Braun H., A direct adaptive method for faster backpropagation learning: The RPROP algorithm, In Proceedings of the IEEE International Conference on Neural Networks, pp. 586-591, 1993.
Bibtex Ps Edit

[124]

H. T. Siegelmann and E. D. Sontag, On the Computational Power of Neural Nets, Proceedings of the Fifth ACM Workshop on Computational Learning Theory, ACM, pp. 440--449, New York, N.Y., 1992.
Bibtex Edit

[125]

D. R. Cutting and D. R. Karger and J. O. Pedersen and J. W. Tukey, Scatter/Gather: a cluster-based approach to browsing large document collections, Proc. 15th. Ann. Int. ACM/SIGIR Conf. on R & D In Information Retrieval, pp. 318--329, 1992.
Bibtex Edit

[126]

Werbos, P., Backpropagation through time: what it does and how to do it., Proceedings in IEEE special issue on neural networks, Vol. 2, pp. 1550-1560, 1992.
Bibtex Edit

[127]

Kootsookos, P. and Tsoi, A. C. and Lovell, B., Speech Enhancement for robust speaker verification, Proc 4th Aust Intern Conf on Speech Science and Tech., pp. pp 521 - 526, Brisbane, Australia, December, 1992.
Bibtex Edit

[128]

Watson, B. and Tsoi, A. C., Second order hidden Markov models for speech recognition, Proc 4th Aust Conf on Speech Science and Tech., pp. pp 146 - 151, Brisbane, Australia, December, 1992.
Bibtex Edit

[129]

Tsoi, A. C. and Sergejew, A., An application of artificial neural network technique in EEG signal analysis: Evidence of global disconnection in schizophrenia, Pan Pacific Workshop on Brain Electric and Magnetic Topography, Vol. Vol 5, no 65, Melbourne, Australia, February, 1992.
Bibtex Note Edit

[130]

Sergejew, A. and Tsoi, A. C., How many electrodes are enough? Insights from the application of the zero-delay frequency wavenumber spectral analysis of EEG and AEP, Pan Pacific Workshop on Brain Electric and Magnetic Topography, Vol. Vol 5, no 65, Melbourne, Australia, February, 1992.
Bibtex Note Edit

[131]

Downs, T. and Tsoi, A. C. and Schulz, M. and Lovell, B. and Barlow, M. and Booth, I. and Shrimpton, D. and Watson, B., An overview of the speaker verification project at the University of Queensland, Proc 4th Aust Conf on Speech Science and Tech., pp. pp 62 - 66, Brisbane, Australia, December, 1992.
Bibtex Edit

[132]

Wang, Y. J. and Kubik, K. K. and Tsoi, A. C., Predicting DGPS correction time series with Neural Networks, National Conf on GPS surveying, Sydney, Australia, June, 1992.
Bibtex Edit

[133]

Lovell, D. R. and Tsoi, A. C. and Downs, T., A comparison of transfer functions for feature extracting layers in the neocognitron, Proc Third Aust Conf on Neural Networks, pp. pp 202 - 205, Canberra, Australia, February, 1992.
Bibtex Edit

[134]

Tsoi, A. C. and Sergejew, A., An application of artificial neural network technique in EEG signal analysis: evidence of global disconnection in schizophrenia, Pan Pacific Workshop on Brain Electric and Magnetic Topography, Melbourne, Australia, February, 1992.
Bibtex Edit

[135]

Sergejew, A. and Tsoi, A. C., How many electrodes are enough? Insights from the application of zero-delay frequency wavenumber spectral analysis of EEG and AEP, Pan Pacific Workshop on Brain Electric and Magnetic Topography, Melbourne, Australia, February, 1992.
Bibtex Edit

[136]

Tsoi, A. C., Application of neural network methodology to the modelling of the yield strength in a steel rolling plate mill, Advances in Neural Information Processing Systems, Morgan Kaufmann Publishers, editor Moody, J. and Hansen, S. and Lippmann, R., Vol. Vol 4, 1992.
Bibtex Edit

[137]

Sergejew, A. and Tsoi, A. C., A Markovian analysis of EEG state transitions in obsessive-compulsive disorder, Australasian Psychophysiology Conference, Nelson Bay, Australia, December, 1992.
Bibtex Edit

[138]

Back, A. D. and Tsoi, A. C., Stabilisation properties of multilayer feedforward networks with time-delay synapses, Artificial Neural Networks, Elsevier Science Publishers B.V., editor Il Aleksander and J. Taylor, Vol. Vol. 2, pp. pp 1113-1116, 1992.
Bibtex Edit

[139]

Back, A. D. and Tsoi, A. C., Nonlinear system identification using multilayer perceptrons with locally recurrent synaptic structure, Neural Networks for Signal Processing 2, IEEE Press, editor Kung et. al., pp. pp 444- 453, 1992.
Bibtex Edit

[140]

Back, A. D. and Tsoi, A. C., Nonlinear adaptive control using IIR MLP, Proc Third Australian Conf on Neural Networks, pp. pp 155 -158, Canberra, Australia, 1992.
Bibtex Edit

[141]

Back, A. D. and Tsoi, A. C., Representational capabilities of multilayer feedforward networks with time-delay synapses, Proc. for American Control Conf, pp. pp 3064-3065, Chicago, 1992.
Bibtex Edit

[142]

Back, A. D. and Tsoi, A. C., Modelling robustness of FIR and IIR synapse multilayer perceptrons, Proc Third Aust Conf on Neural Networks, pp. pp 72 - 76, Canberra, Australia, 1992.
Bibtex Edit

[143]

Back, A. D. and Tsoi, A. C., Internal representation of data in multilayer perceptron with IIR synapses, Proc. IEEE Intern Symposium on Circuits and Systems, San Diego, 1992.
Bibtex Edit

[144]

X. Lin and D. Soergel and G. Marchionini, A Self-organizing Semantic Map for Information Retrieval, Proc. 14th. Ann. Int. ACM/SIGIR Conf. on R & D In Information Retrieval, pp. 262--269, 1991.
Bibtex Edit

[145]

S.E. Fahlman, The Recurrent Cascade-Correlation Architecture, Advances in Neural Information Processing Systems~3, Morgan Kaufmann Publishers, editor R.P. Lippmann and J.E. Moody and D.S. Touretzky, pp. 190-196, San Mateo, CA, 1991.
Bibtex Edit

[146]

Zell, A. and Mache, N. and Sommer, T. and Korb, T., The SNNS Neural Network Simulator., GWAI-91, 15. Fachtagung für künstliche Intelligenz, series Informatik-Fachberichte 285, Springer Verlag, pp. 254-263, 1991.
Bibtex Edit

[147]

Back, A. D. and Tsoi, A. C., IIR neural networks for time series modelling, Proc. Second Australian Conference on Neural Networks, pp. pp 98-101, 1991.
Bibtex Edit

[148]

Tsoi, A. C., Comparison of three classification techniques, CART, C4.5, Multi-layer perceptrons, Advances in Neural Information Processing Systems, editor D Touretzky, Morgan Kaufmann, Vol. Vol 3, 1991.
Bibtex Edit

[149]

Back, A. D. and Tsoi, A. C., An adaptive lattice architecture for dynamic multilayer perceptrons, Proc Int AMSE Conf Neural Networks, pp. pp 141 - 150, San Diego, 1991.
Bibtex Edit

[150]

Shaw, J. and Tsoi, A. C. and Downs, T., Neurobackgammon - an alternative approach, Proc ACNN 91 Conf, 1991.
Bibtex Edit

[151]

Back, A. and Tsoi, A.C., Analysis of Hidden Layer Weights in a dynamic locally recurrent network, Artificial Neural Networks, Elsevier Science Publishers B.V., editor Kohonen, T. and Makisara, K. and Simula, O. and Kangas, J., pp. pp 961-966, North Holland, 1991.
Bibtex Edit

[152]

Lovell, B. and Tsoi, A. C., An Artificial Neural Network for Speaker Verification, Proc ACNN 91 Conf, 1991.
Bibtex Edit

[153]

Bunke, H., String Grammars for Syntactic Pattern Recognition, Syntactic and Structural Pattern Recognition, Theory and Applications, Ed. World Scientific, Singapore, editor Bunke, H. and Sanfeliu, A., pp. pp29-55, 1990.
Bibtex Edit

[154]

Kohonen, T., Improved Versions of Learning Vector Quantization, Proc. IJCNN-90, International Joint Conference on Neural Networks, San Diego, IEEE Service Center, Vol. I, pp. 545--550, Piscataway, NJ, 1990.
Bibtex Edit

[155]

Pollack, J. B., Recursive Distributed Representations., Artificial Intelligence, series 1, No. 46, pp. 77-105, 1990.
Bibtex Edit

[156]

S. E. Fahlman, The Cascade-Correlation Learning Architecture, Advances in Neural Information Processing Systems~2, Morgan Kaufmann Publishers, editor D. S. Touretzky, pp. 524--532, San Mateo, CA, 1990.
Bibtex Edit

[157]

R.J. Williams and J. Peng, An efficient gradient-based algorithm for on-line training of recurrent network trajectories, Neural Computation, Vol. 2(4), pp. 490-501, 1990.
Bibtex Edit

[158]

Back, A. D. and Tsoi, A. C., A time series modelling methodology using FIR and IIR synapses, Proc. Workshop on Neural Networks for Statistical and Economic Data, editor F. Murtagh, pp. pp 187 - 194, Dublin, DOSES, Statistical Office of European Communities, 1990.
Bibtex Edit

[159]

R.J. Williams and D. Zipser, A learning algorithm for continually running fully recurrent neural networks, Neural Computation, Vol. 1(2), pp. 270-280, 1989.
Bibtex Edit

[160]

Srihari, S. N. and Cohen, E. and Hull, J.J and Kuan, L., A system to locate and recognize ZIP codes in handwritten addresses, International Journal of Research and Engineering - Postal Applications, pp. 37-56, 1989.
Bibtex Edit

[161]

Tsoi, A.C., Application of Backpropagation method to speech recognition, Australian Symposium on Signal Proc. and Applications, 1989.
Bibtex Edit

[162]

Tsoi, A.C., A simple derivation of the constraints on the pattern vectors of a Little Hopfield network, Int. Joint Conf. on Neural Networks, Washington DC, June, 1989.
Bibtex Edit

[163]

Tsoi, A.C., A review of neural networks, IEEE Int. Conf. on Control, Jerusalem, April, 1989.
Bibtex Edit

[164]

Tsoi, A.C., Counter propagation network, an interpretation, Int. Joint Conf. on Neural Networks, Washington DC, June, 1989.
Bibtex Edit

[165]

Tsoi, A.C. and White, L. and Boashash, B., Application of singular value decomposition and Wigner-Ville distribution to EEG to signal processing, Australian Symposium on Signal Proc. and Applications, 1989.
Bibtex Edit

[166]

Jenkinson, T. and Tsoi, A.C., Application of Expert System Techniques to Signal Processing, Australian Symposium on Signal Proc. and Applications, 1989.
Bibtex Edit

[167]

Zyda, Michael J., A Decomposable Algorithm for Contour Surface Display Generation, ACM Transactions on Graphics, Vol. 7, Number 2, April, 1988.
Bibtex Edit

[168]

Tsoi, A.C., Parameterization of electroencephalogram signals, a possible methodology, IFAC Symp. Identification and System Parameter Estimation, Vol. Vol 3, pp. pp 1369- 1376, Beijing, China, August, 1988.
Bibtex Edit

[169]

Tsoi, A.C. and Lim, M., Improved Simulated Annealing Techniques, Proc. IEEE 1988 Int. Conf. on System Man and Cybernetics, Vol. Vol 1, pp. pp 594-597, 1988.
Bibtex Edit

[170]

Fahlman, S.E., Faster-learning variations on back-propagation: An empirical study., Connectionist Models Summer School, Morgan Kaufmann, editor T.J. Sejnowski G.E. Hinton and D.S. Touretzky, San Mateo, CA, 1988.
Bibtex Edit

[171]

Tsoi, A. C., A new method for analysing electroencephalogram (EEG) signals, Proc International Symp on Signal Proc and its Applic., Vol. Vol 2, pp. pp 803-807, Brisbane, Australia, August, 1987.
Bibtex Edit

[172]

Kobe, M.U. and Tsoi, A.C., Removal of seasonal effects in an electricity load time-series, Electric Energy Conference, Brisbane, Australia, October, 1986.
Bibtex Edit

[173]

Wang, C.H. and Srihari, S. N., Object Recognition in Structured and Random Environments: Locating Address Blocks on Mail Pieces, Proc. of AAAI-86, pp. 1133-1137, Philadelphia, PA, 1986,.
Bibtex Edit

[174]

Tsoi, A.C. and Sharaf, M.M., A practical method for pseudo-stationary time-series analysis, IFAC Symposium on Stochastic Control, Vilinius, USSR, May, 1986.
Bibtex Edit

[175]

Gevers, M.R. and Tsoi, A.C., A new and wider class of overlapping forms for the representation of multivariable systems, 7th IFAC Symp. on Identification and Parameter Estimation, Vol. vol 1, pp. pp 743-748, York UK, July, 1985.
Bibtex Edit

[176]

Tsoi, A.C. and Chan, C.Y., Comparison of routing strategies in a public data network, First Pan Pacific Computer Conference, Vol. vol 1, pp. pp 754-780, Melbourne, Australia, September, 1985.
Bibtex Edit

[177]

Tsoi, A.C. and Simmons, B., A simple load management guideline, Electric Energy Conference, pp. pp 118-124, Newcastle, Australia, October, 1985.
Bibtex Edit

[178]

Tsoi, A.C. and Varcoe, N.W., Toeplitz solver, some architectural considerations, 4th Aust. Microelectronics Conference, pp. pp 217-224, Sydney, May, 1985.
Bibtex Edit

[179]

Tsoi, A.C. and Nicholls, N.J., Simulation of a packet switching network, Proc. Int. Conference on Computer Comm., Sydney, Australia, 1983.
Bibtex Edit

[180]

Dasgupta, S. and Anderson, B.D.O. and Tsoi, A.C., Input conditions for continuous time adaptive system problems, Proc. 22nd Conference on Decision and Control, San Antonio, Texas, December, 1983.
Bibtex Edit

[181]

Tsoi, A.C. and Bitmead, R.R., Input conditions for hybrid adaptive identification and control, Proc. 22nd Conference and Decision and Control, San Antonio, Texas, December, 1983.
Bibtex Edit

[182]

Rissanen, J., A Universal Prior for Integers and Estimation by Minimum Description Length, Ann. Statist., Vol. 11, pp. 416-431, 1983.
Bibtex Edit

[183]

Anderson, B.D.O. and Tsoi, A.C., Connecting forward and backward autoregressive models, Proc. 21st Conference on Decision and Control, Orlando, Florida, December, 1982.
Bibtex Edit

[184]

Tsoi, A.C. and Wakefield, B.W. and Kobe, M.U., Application of a recursive estimation technique to short term load forecasting, Second Conference on Eng. Control, Institute of Engineers, Australia, August, 1982.
Bibtex Edit

[185]

Tsoi, A.C., System reduction - an overview, Second Conference on Eng. Control, Institute of Engineers, Australia, August, 1982.
Bibtex Edit

[186]

Martin, D.J. and Tsoi, A.C., Determination of the steady-state waiting time distribution, ACIS Conference, May, 1981.
Bibtex Edit

[187]

Tsoi, A.C. and Shafi, M., A comparison of the performance and the planning objectives for analog and digital radio relay links, NZIE Conference, February, 1981.
Bibtex Edit

[188]

Tsoi, A.C., Detection of incidents on motorways based on dynamic model techniques, NZIE Conference, February, 1981.
Bibtex Edit

[189]

Mardle, K.J. and McMillan, J.R. and Tsoi, A.C. and Gatland, H.B., Microprogramming and microprogrammed control - a tutorial, NZIE Conference, February, 1981.
Bibtex Edit

[190]

Tsoi, A.C. and Yeoh, W.K. and Chan, C.M., Microprocessor implementation of two popular adaptive digital filtering algorithms, NELCON Conference, Dunedin, New Zealand, 1981.
Bibtex Edit

[191]

Tsoi, A.C. and Toeh, E.K., Application of the Stackelberg game theory, ACIS Conference, May, 1981.
Bibtex Edit

[192]

Wong, S.L.J. and Tsoi, A.C., Simple variable structure controller designs, ACIS Conference, May, 1981.
Bibtex Edit

[193]

Eccles, J.P. and Tsoi, A.C., Detection of incidents on a motorway, ACIS Conference, May, 1981.
Bibtex Edit

[194]

Tsoi, A.C. and Shafi, M., Adaptive equalisation - a brief review of the major results, ACIS Conference, May, 1981.
Bibtex Edit

[195]

Tsoi, A.C. and Symons, R.E., Nonlinear system identification in the frequency domain, ACIS Conference, May, 1981.
Bibtex Edit

[196]

Y. Linde and A. Buzo and R. Gray, An algorithm for vector quantization design, IEEE Trans. on Communication, 1980.
Bibtex Note Edit

[197]

Tsoi, A.C. and Kobe, M.U., Load forecasting of a power system, Proc. Electrical Supply Conference, Sydney, Australia, October, 1979.
Bibtex Edit

[198]

Tsoi, A.C., Identification of nonlinear systems in both the time and frequency domain, 49th ANZAAS Congress, Auckland, New Zealand, January, 1979.
Bibtex Edit

[199]

Tsoi, A.C., Survey of nonlinear system identification techniques, Australian Conference on Control Engineering, Melbourne, June, 1979.
Bibtex Edit

[200]

Tsoi, A.C., Recent advances in algebraic theory of delay-differential equations, Proc IMA Conference on recent theoretical developments in Control, Academic Press, editor M. Gregson, pp. pp 67-127, Leicester, England, September, 1978.
Bibtex Edit

[201]

Tsoi, A.C., Some aspects of synthesis of electrical networks, UNESCO Special Publications, editor P. Mbaeyi, 1978.
Bibtex Edit

[202]

Shafi, M. and Tsoi, A.C., Identification of nonlinear systems, NELCON Conference, New Zealand, 1978.
Bibtex Edit

[203]

Schwarz, G., Estimate the Dimension of a model, The Anals of Statistics, Vol. 6, pp. 461-464, 1978.
Bibtex Edit

[204]

Tsoi, A.C., Some aspects of the synthesis of electrical networks, NELCON Conference, Auckland, New Zealand, 1978.
Bibtex Edit

[205]

Akaike, H., A new look at the statistical model identification, IEEE Trans. Auto. Cont., Vol. 19, pp. 716-723, 1974.
Bibtex Edit

[206]

P. Frasconi and M. Gori and A. Sperduti, Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations, Proceedings of the European Conference on Artificial Intelligence, ECAI 2000, pp. 301--305, 200.
Bibtex Edit

[207]

KC, M. and Hagenbuchner, M. and Tsoi, A.C. and Scarselli, F. and Gori, M. and Sperduti, S., XML Document Mining using Contextual Self-Organizing Maps for Structures, Lecture Notes in Computer Science, Springer-Verlag Berlin Heidelberg, February 2007 (submitted).
Bibtex Edit

[208]

Zell, A. and Mache, N. and Sommer, T. and Korb, T., Recent Developments of the SNNS Neural Network Simulator, Proc. Applications of Neural Networks Conf., SPIE, Aerospace Sensing Intl. Symposium, Vol. 1469, pp. 708-719, Orlando Florida, 1991.
Bibtex Edit

[209]

Yong, S.L. and Hagenbuchner, M. and Tsoi, A.C. and Scarselli, F. and Gori, M., Document Mining using Graph Neural Network, Lecture Notes in Computer Science, Springer-Verlag Berlin Heidelberg, February 2007 (submitted).
Bibtex Edit

[210]

Zell, A. and Mache, N. and Sommer, T. and Korb, T., Design of the SNNS neural network simulator, Östreichische Artificial-Intelligence-Tagung, series Informatik-Fachberichte 287, Springer Verlag, pp. 93-102, Wien 1991.
Bibtex Edit

Reports:

[1]

Markus Hagenbuchner, Unsupervised Learning of Data-Structures. An Expository Overview and Comments, University of Wollongong, Australia, and University of Siena, Italy, markus@uow.edu.au, 1999.
Bibtex Pdf Edit

[2]

Gori, M. and Hagenbuchner, M. and Tsoi, A.C., The Traffic Policeman Benchmark, University of Wollongong, Australia, December, 1998.
Bibtex Edit

[3]

Frasconi, P. and Gori, M. and Sperduti, A., A general framework for adaptive processing in data structures, No. 15/97, Dipartimento di Sistemi e Informatica, Universita' di Firenze, 1997.
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Orr, M.J.L., Introduction to radial basis function networks, Institute for Adaptive and Neural Computation, Division of Informatics, Edinburgh University, www.anc.ed.ac.uk/~mjo/papers/intro.ps, 1996.
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[5]

Sperduti, A. and Starita, A., Supervised Neural Networks for the Classification of Structures, No. TR-16/95, University of Pisa, 1995.
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[6]

Sperduti, A., Labeling RAAM, No. TR-93-029, International Computer Science Institute, Berkeley, CA, may,, 1993.
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[7]

Sperduti, A., On Some Stability Properties of the LRAAM Model, No. TR-93-031, International Computer Science Institute, Berkeley, CA, jun,, 1993.
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[8]

Sperduti, A., Exploitation of Structured Gating Connections for the Normalization of a Visual Pattern, No. TR-93-038, International Computer Science Institute, Berkeley, CA, jul,, 1993.
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S. E. Fahlman, The Recurrent Cascade-Correlation Architecture, No. CMU-CS-91-100, School of Computer Science, Carnegie Mellon, Pittsburgh, PA, 1991.
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Thrun S.B., The monk's problem, Carnegie Mellon University, 1991.
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Kohonen, T. and Kangas, J and Laaksoonen, J. and Torkkola, K., Lvq_pak learning vector quantization program package., Laboratory of Computer and Information Science Rakentajanaukio 2 C, 1991 - 1992.
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S.B. Thrun and et al., The MONK's Problems, A Performance Comparison of Different Learning Algorithms, No. CMU-CS-91-197, Carnegie Mellon University, December, 1991.
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J.L. Elman, Finding Structure in Time, No. CRL Tech Report 8801, Center for Research in Language, University of California at San Diego, La Jolla, CA, 1988.
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M.I. Jordan, Serial Order: A Parallel Distributed Processing Approach, No. ICS Report 8604, University of California, Institute for Cognitive Science, La Jolla, CA, May, 1986.
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Kohonen, T., Learning Vector Quantization for Pattern Recognition, No. TKK-F-A601, Helsinki University of Technology, 1986.
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Manuals:

[1]

Zell, A. and Mache, N. and Sommer, T. and Korb, T., Stuttgart Neural Network Simulator manual and source, http://www.informatik.uni-stuttgart.de/ipvr/bv/projekte/snns/, 1997.
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Miscellaneous:

[1]

Hagenbuchner, Markus, The Traffic Policemen Benchmark Software Package, http://artificial-neural.net, 1999.
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[2]

T. Voegtlin, Contextual Self-Organizing Maps: An adaptive representation of context for sequence learning, 1998.
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[3]

Goller, C., A Connectionist Approach for Learning Search-Control Heuristics for Automated Deduction Systems, Technical University Munich, Computer Science, 1997.
Bibtex Edit

[4]

B. Ellingsen, Connectionist-based analogical mapping of objectoriented specifications: A representational scheme, 1997.
Bibtex Edit

[5]

Hagenbuchner, Markus, The PicIt image processing toolbox, http://www.artificial-neural.net/picit.html, 1997-1999.
Bibtex Edit

[6]

Reddy, Martin, em graphic file formats, http://www.dcs.ed.ac.uk/%7Emxr/gfx/, 1997.
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[7]

T. Onoda, Neural network information criterion for the optimal number of hidden units, 1995.
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[8]

Poskanzer, Jef, em ppm - portable pixmap file format, http://www.dcs.ed.ac.uk/~mxr/gfx/2d/PPM.txt, 1991.
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[9]

E. Sontag, Feedforward nets for interpolation and classification, 1990.
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[10]

M. L. Minsky, Neural-Analog Networks and the Brain-Model Problem, Princeton University, 1954.
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[11]

Kohonen, T. and Hynninen, J. and Kangas, J. and Laaksoonen, J. and Torkkola, K., http://www.cis.hut.fi/nnrc/nnrc-programs.html.
Bibtex Edit

[12]

, Adaptive Processing of Data Structure (APoDS) Software Archive in Italia, http://www-dii.ing.unisi.it/~apods/simulator.html.
Bibtex Edit

[13]

, Adaptive Processing of Data Structure (APoDS) FTP Software Archive, ftp://pc40a8.cs.uow.edu.au/pub/apods/software.
Bibtex Edit

[14]

, Adaptive Processing of Data Structure (APODS) Software Archive in Australia, http://www.artificial-neural.net/simulator.html.
Bibtex Edit

404 records found in total