Dr. Antony Browne, AKA Antony Brown, Tony Browne,
Department of Computing,
School of Engineering and Physical Sciences,
University of Surrey,
Guildford, SURREY,
GU2 7XH, UK
a<dot>browne<at>surrey.ac.uk

I no longer work at the University of Surrey (though I am a visiting researcher and you can contact me at the above email address). I now perform consultancy in Neural Networks, other Machine Learning Techniques such as Support Vector Machines and Data Mining. Consultancy areas include credit scoring, fraud detection, financial forecasting (share prices, currency exchange rates) and predicting customer churn. Other areas include medical diagnosis, bioinformatics, drug discovery, toxicity prediction, signal processing, computer vision, machine health monitoring and fault detection.

 

Research Interests:

  • Neural networks for novelty detection, forecasting and prediction.
  • Structure and rule extraction from trained neural networks to solve data mining problems.
  • Computational models of psychiatric illness
  • Connectionist modelling of variable binding, inference and extrapolation.

 

Downloadable Technical Reports and Preprints:

Browne, A., Jakary, A. Vinogradov, S., Fu, Y. and R. F. Deicken Automatic Relevance Determination for Identifying Thalamic Regions Implicated in Schizophrenia. IEEE Transactions on Neural Networks Preprint here (pdf):

Abstract. There have been many theories about and computational models of the schizophrenic disease state. Brain imaging techniques have suggested that abnormalities of the thalamus may contribute to the pathophysiology of schizophrenia. Several studies have found the thalamus to be altered in schizophrenia, and the thalamus has connections with other brain structures implicated in thedisorder. This paper describes an experiment examining thalamic levels of the metabolite N-acetylaspartate (NAA), taken from schizophrenics and controls using in-vivo proton magnetic resonance spectroscopic imaging. Automatic relevance determination was performed on neural networks trained on this data, identifying NAA group differences in the pulvinar and mediodorsal nucleus, underscoring the importance of examining thalamic subregions in schizophrenia.

Browne, A., Hudson, B. D., Whitley, D. C., Ford, M. G. & Picton, P. (2004) Biological data mining with neural networks: Implementation and application of a flexible decision tree extraction algorithm to genomic problem domains. Neurocomputing, 57, 275-293. Elsevier - ISSN: 0925-2312. Preprint here (pdf):

Browne, A. (2002). Representation and extrapolation in multi-layer perceptrons. Neural Computation, 14(7), 1739-1754. ISSN: 0899-7667. Preprint here (pdf):

Browne, A. & R. Sun. (2001). Connectionist inference models. Neural Networks, 14(10), 1331-1355. ISSN: 0893-6080. Preprint here (pdf):

Selected Publications:

Textbooks:

  • Browne, A. (Ed.) (1997). Neural Network Perspectives on Cognition and Adaptive Robotics. Institute of Physics Press, Bristol, UK. ISBN 0-7503-0455-3.
  • Browne, A. (Ed.) (1997). Neural Network Analysis, Architectures and Algorithms. Institute of Physics Press, Bristol, UK. ISBN 0-7503-0499-5.

Journal Papers:

  • Hudson, B, Whitley, D., Browne, A., and Ford, M. (2005) Extraction of comprehensible logical rules from neural networks: Applications in Bio and Cheminformatics, Croatica Chemica Acta, 78, 557-561 ISSN: 0011-1643.
  • Bose, S., Kazemian, H., White, K. & Browne., A. (In Press) Use Of Neural Networks To Predict And Analyse Membrane Proteins In The Proteome. BMC Bioinformatics. ISSN 1471-2105.
  • Yang, S. and Browne, A. (2004) Neural Network Ensembles: Combining Multiple Models for Enhanced Performance Using a Multistage Approach. Expert Systems, 21(5), 279-288. Blackwells - ISSN: 0266-4720.
  • Browne, A., Hudson, B. D., Whitley, D. C. , Ford, M. G. and Picton, P. (2004) Biological data mining with neural networks: Implementation and application of a flexible decision tree extraction algorithm to genomic problem domains. Neurocomputing, 57, 275-293. Elsevier - ISSN: 0925-2312.
  • Browne, A. (2002). Representation and extrapolation in multi-layer perceptrons. Neural Computation, 14(7), 1739-1754. MIT Press - ISSN: 0899-7667.
  • Browne, A. & R. Sun. (2001). Connectionist inference models. Neural Networks, 14(10), 1331-1355. Elsevier - ISSN: 0893-6080.
  • Browne, A. & R. Sun (1999). Connectionist variable binding. Expert Systems, 16(3), 189-207. Blackwells - ISSN: 0266-4720.
  • Browne, A. & P. Picton (1999). Two analysis techniques for feed-forward networks. Behaviormetrika: Special Issue on Analysis of Knowledge Representations in Neural Network Models 26(1), 75-87. ISSN: 0385-7417.
  • Browne, A. (1998). Detecting systematic structure in distributed representations. Neural Networks 11(5), 815-824. Elsevier - ISSN: 0893-6080.
  • Browne, A. (1998). Performing a symbolic inference step on distributed representations. Neurocomputing 19, 23-34. Elsevier - ISSN: 0925-2312.
  • Browne, A. (1996). Measuring distribution in distributed representations. Neural Processing Letters, 3, 73-79. ISSN: 1370-4612.
  • Browne, A. & J. Pilkington (1994). Unification using a distributed representation. Association for Computing Machinery bulletin on Artificial Intelligence, 5(2), 5-7.

Conference Papers:

  • Bose, S., Kazemian ,H. ,White ,K & Browne., A. (2005) Use Of Neural Networks To Predict And Analyse Membrane Proteins In The Proteome. Proceedings of the Bioinformatics and Systems Biology Conference, Edinburgh, UK, 18.
  • Browne, A., Hudson, B., Whitley, D. & Ford, M. (2004) Neural networks for knowledge discovery from bioinformatic and cheminformatic datasets. Proceedings of the Fifth International Conference on Recent Advances in Soft Computing, Nottingham UK, pp. 74-79. ISBN 1-84233-110-8.
  • Bose ,S., Browne, A., Kazemian, H. & White, K. (2004) Applying Perl to data set creation for biological data mining. Poster at 12th International Conference on Intelligent Systems for Molecular Biology (ISMB) and 3rd European Conference on Computational Biology, Glasgow, UK.
  • Bose ,S., Browne, A., Kazemian, H. & White, K. (2004). Predicting membrane spanning regions with neural networks. Poster at Young Bioinformaticians' Forum at Royal Society of Chemistry Molecular Modeling Group, Oxford, UK. (ii)
  • Bose ,S., Browne, A., Kazemian, H. & White, K. (2004). Neural networks for membrane protein detection. Royal Society of Chemistry Symposium on Chemical Technologies in Pharmaceutical Industry, London, UK.
  • Bose, S., Browne, A., Kazemian, H. and White, K. (2003) Knowledge Discovery in Bioinformatics using Neural Networks. Proceedings Sixth International Conference on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 707-712. ISBN: 984-584-005-1.
  • Hudson, B. D., Whitley, D. C., Browne, A. and Ford, M. G. (2003) Rule Induction from Neural Networks. Application of TREPAN in Bio and Chemoinformatics Proceedings 18th International Conference on Mathematics and Computing in Chemistry, Dubrovnik, 23-29th June 2003. ISBN: 953-6690-27-6
  • Browne, A., Hudson, B., Whitley, D. and Picton, P. (2003) Knowledge extraction from neural networks. Proceedings of the 29 th Annual Conference of the IEEE Industrial Electronics Society, Roanoke, Virginia, USA, 1909-1913.
  • Browne, A., Hudson, B., & Whitley, D. (2002) Understanding splice junctions via knowledge extraction from a neural network. BBSRC Bioinformatics Workshop, Warwick, UK.
  • Yang, S. & Browne, A. (2002). Multistage neural networks: Adaptive combination of ensemble results. Proceedings of the Fourth International Conference on Recent Advances in Soft Computing (RASC2002), Nottingham, UK , pp. 55-60, ISBN: 1-84233-0764.
  • Hudson, B., Whitley, D., & Browne, A. (2002) Biological data mining: high fidelity rule extraction from trained neural networks. Proceedings of the Fourteenth European Symposium on Quantitative Structure-Activity Relationships, Bournemouth, UK. Blackwell Scientific, in press.
  • Browne, A. (2002). Modeling the extrapolation ability of multi-layer perceptrons. Proceedings of the Sixth World Conference on Systemics, Cybernetics and Informatics (SCI 2002), Orlando, FL, 429-433, ISBN: 980-07-8150-1 .
  • Yang, S. & Browne, A. (2002). Multistage Neural Network Ensembles. Proceedings of the Third International Workshop on Multiple Classifier Systems, Caligari, Italy, published as Lecture Notes in Computer Science 2364, Springer Verlag, Berlin, Heidelberg, 2002. ISBN: 3-540-43818-1.
  • D. Whitley, A. Browne, A. Azad & M. Ford (2001). Enhancing rule extraction from neural networks. BBSRC Bioinformatics Workshop, Hinxton, February.
  • A. Browne & H. B. Kazemian (2000). Data mining with neural networks. Proceedings of the Fourth World Multiconference on Systemics, Cybernetics and Informatics;
  • The Sixth International Conference on Information Systems, Analysis and Synthesis, SCI'2000 and ISAS'2000, Orlando, USA, 626-629.
  • M. Ford, A. Browne, D. Whitley & S. Chang (2000). Rule extraction from neural networks trained to model biological data. BBSRC Bioinformatics Workshop, Hinxton, February.
    S. A. Amin, D. Evans & A. Browne (1999). An Environment for Developing Low Level Image Processing on Parallel Computers. Proceedings of the 17th IASTED International Conference on Applied Informatics
    .
  • Ampratwum, C. S., P. D. Picton, A. A. Hopgood & A. Browne (1998). Hybridisation Techniques in Optical Emission Spectral Analysis. Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, pp. 347-356.
  • Ampratwum C. S., P. D. Picton & A. Browne (1998). Rule Extraction from Neural Network Models of Chemical Species in Optical Emission Spectra. Proceedings of the Workshop on Recent Advances in Soft Computing, pp. 53-6.
  • Browne, A., R. Pascalis & S. Amin (1996). Signal and Image Processing with Neural Networks. Proceedings of Circuits, Systems and Computers 96, Vol. 1, pp. 335-339.
  • Browne, A. & J. Pilkington (1994) Variable Binding in a Neural Network using a Distributed Representation. Proceedings of the European Symposium on Artificial Neural Networks, Brussels, April 20th-22nd 1994, (pp. 199-204), ISBN 29600049 1 4.
  • Browne, A. & J. Pilkington (1994). [Invited Paper] Performing Variable Binding with a Neural Network. Proceedings of the Seminar on Adaptive Computing and Information Processing, Brunel University, 25-27 January 1994 (pp. 758-770).
  • Browne, A. & J. Pilkington (1994). Variable Binding using a Distributed Representation: A case study of Unification. Proceedings of the IEE Colloquium on Symbolic and Neural Cognitive Engineering, 14th February 1994 (pp. 4.1-4.4).
  • Browne, A. & J. Pilkington (1994) Quantifying the amount of distribution present in a Distributed Representation. Proceedings of the Symposium on Artificial Intelligence and Neural Networks, Ankara , June 22nd -24th 1994 (pp. 321-326) ISBN 975 7679 07 0.
  • Browne, A. & J. Pilkington (1994) Performing Structure-Sensitive Processes on Distributed Representations. Proceedings of INNC 94, Dublin , Sept. 12th-13th 1994 (pp. 19-24).

Textbook Chapters:

  • Yang, S. Browne, A. & Picton, P. (2004) Multistage Neural Networks: Adaptive Combination of Ensemble Results. In by A. Lotfi (Editor), & J. Garibaldi (Eds.) Applications and Science in Soft Computing, Springer Verlag , Berlin. ISBN: 3540408568
  • Hudson, B., Whitley, D. & Browne, A (2003). Biological data mining: High fidelity rule extraction from trained neural networks. In M. Ford, D,. Livingstone, J. Dearden & H. Van de Waterbeemd (Eds.) Designing Drugs and Crop Protectants: Processes, Problems and Solutions. Blackwell Publishing, Oxford, UK. pp. 361-363. ISBN: 1-4051-2516-0.
  • Browne, A. & J. Pilkington (1995). Variable binding using a neural network. In Neural Networks by J. Taylor (Ed.). Alfred Waller Press. ISBN: 1-872474-27-6.
  • Browne, A. (1997). Challenges for Neural Computing. In A. Browne (Ed.) Neural Network Perspectives on Cognition and Adaptive Robotics. Institute of Physics Press, Bristol, UK. ISBN 0-7503-0455-3.

Guest Editorials:

  • Browne, A. (1999) Symbol processing - a challenge for neural networks? Expert Systems: The International Journal of Knowledge Engineering and Neural Networks 16(2), 58-59. ISSN: 0266-4720.
  • Edited a special issue in 2000 of ‘Expert Systems: The International Journal of Knowledge Engineering and Neural Networks’, 17 (1) on Performing Symbolic Processing with Neural Networks. ISSN: 0266-4720.