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  • 165 km ultra-long Raman fibre laser in the C-band

    Karalekas, V., Kablukov, S. I., Harper, P., Ania-Castañón, J. D., Babin, S. A. & Turitsyn, S. K., 2008, 34th European Conference on Optical Communication, 2008. ECOC 2008. IEEE, Vol. 1.

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  • 40-Gbit/s dispersion-managed soliton transmission over 3000 km of standard fiber through optimization of the dispersion map parameters

    Govan, D. S., Turitsyn, S. K. & Doran, N. J., 2000, Pacific Rim Conference on Lasers and Electro-Optics, CLEO - Technical Digest. Piscataway, NJ, United States: IEEE, p. 238-239 2 p.

    Research output: Chapter in Book/Published conference outputChapter

  • A basis function approach to Bayesian inference in diffusion processes

    Shen, Y., Cornford, D. & Opper, M., 2009, IEEE/SP 15th Workshop on Statistical Signal Processing, 2009. SSP '09. IEEE, p. 365-368 4 p.

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  • A Bayesian approach to on-line learning

    Opper, M. & Winther, O., Jan 1999, On-line learning in neural networks. Saad, D. (ed.). Cambridge: Cambridge University Press, p. 363-378 16 p. (Publications of the Newton Institute; vol. 17).

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  • Adaptive back-propagation in on-line learning of multilayer networks

    West, A. H. L. & Saad, D., 1996, Proceedings of the neural information processing systems. Touretzky, D. S., Mozer, M. C. & Hasselmo, M. E. (eds.). Boston: MIT, Vol. 8.

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  • Analysing time series structure with hidden Markov models

    Azzouzi, M. & Nabney, I. T., 2 Sep 1998, Proceedings of the 1998 IEEE Signal Processing Society Workshop, Neural Networks for Signal Processing VIII, 1998. Constantinides, T., Kung, S. Y., Niranjan, M. & Wilson, E. (eds.). Cambridge, UK: IEEE, Vol. 8. p. 402-408 7 p. (Proceedings of the 1998 IEEE Signal Processing Society Workshop).

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  • An End-to-End Scalable Iterative Sequence Tagging with Multi-Task Learning

    Gui, L., Du, J., Zhao, Z., He, Y., Xu, R. & Fan, C., 14 Aug 2018, (E-pub ahead of print) CCF International Conference on Natural Language Processing and Chinese Computing. Springer, Vol. 11109. p. 288-298 (Natural Language Processing and Chinese Computing; vol. 11109).

    Research output: Chapter in Book/Published conference outputChapter

  • A novel neural network technique for exploratory data analysis

    Lowe, D. & Tipping, M. E., 1995, Proceedings of International Conference on Artificial Neural Networks '95. Paris: EC2 et Cie, Vol. 1. p. 339-344 6 p.

    Research output: Chapter in Book/Published conference outputChapter

  • Architectures for collective self-aware computing systems

    Diaconescu, A., Bellman, K. L., Esterle, L., Giese, H., Götz, S., Lewis, P. & Zisman, A., 21 Feb 2017, Self-Aware Computing Systems. Springer, p. 191-235 45 p.

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  • Assessing self-awareness

    Esterle, L., Bellman, K. L., Becker, S., Koziolek, A., Landauer, C. & Lewis, P., 21 Feb 2017, Self-Aware Computing Systems. Springer, p. 465-481 17 p.

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  • A truncated boundary integral based Newton-CG procedure for sound-soft shape reconstruction

    Johansson, B. T. & Sleeman, B. D., 2008, Spring conference of the Institute of Acoustics 2008: widening horizons in acoustics. Institute of Acoustics, p. 333-338 6 p. (Proceedings of the Institute of Acoustics Institute of Acoustics; vol. 30, no. 2).

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  • Capacity of the upstart algorithm

    West, A. H. L. & Saad, D., 1997, Mathematics of Neural Networks: Models, Algorithms and Applications. Ellacott, S. W., Mason, J. C. & Anderson, I. J. (eds.). Oxford: Kluwer, p. 372-378 7 p.

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  • CFD for the Modelling of Entrainment in Fluidised Bed Fast Pyrolysis of Biomass

    Gerhauser, H., Generalis, S. C., Hague, R. A. & Bridgwater, A. V., 7 Apr 2008, Progress in Thermochemical Biomass Conversion. Bridgwater, A. V. (ed.). Wiley-Blackwell, p. 1281-1295 15 p.

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  • Combining the wavelet transform and forecasting models to predict gas forward prices

    Nguyen, H. T. & Nabney, I. T., 11 Dec 2008, Seventh International Conference on Machine Learning and Applications, 2008. ICMLA '08. IEEE, p. 311-317 7 p.

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  • Computational methods and tools for decision support in biomedicine: an overview of algorithmic challenges

    Dimou, I. N., Zervakis, M. E., Lowe, D. & Tsiknakis, M., Apr 2009, Handbook of research on advanced techniques in diagnostic imaging and biomedical applications. Exarchos, T. P., Papadopoulos, A. & Fotiadis, D. I. (eds.). IGI Global, p. 1-17 17 p.

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  • Effect of fibre base and reflectors profile on the efficiency of ultra- long laser cavities

    Karalekas, V., Harper, P., El-Taher, A., Ania-Castañón, J. D., Shu, X., Bennion, I. & Turitsyn, S. K., 16 Oct 2009, 35th European Conference on Optical Communication, 2009. ECOC '09. IEEE

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  • Eigenvalue communications in nonlinear fiber channels

    Prilepsky, J. E. & Turitsyn, S. K., 24 Nov 2015, Odyssey of light in nonlinear optical fibers: theory and applications. Porsezian, K. & Ganapathy, R. (eds.). Boca Raton, FL (US): CRC Press, p. 459-490 31 p.

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  • Energy forward price prediction with a hybrid adaptive model

    Nguyen, H. T. & Nabney, I. T., 30 Mar 2009, IEEE Symposium on Computational Intelligence for Financial Engineering, 2009. CIFEr '09. IEEE, p. 66-71 6 p.

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  • Error-correcting codes on a Bethe-like lattice

    Vicente, R., Saad, D. & Kabashima, Y., Apr 2001, Advances in neural information processing systems. Leen, T. K., Tresp, V. & Dietterich, T. G. (eds.). MIT, Vol. 13. p. 322-328 7 p.

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  • Evaluating the effectiveness of Bayesian feature selection

    Nabney, I. T., Evans, D. J., Brule, Y. & Gordon, C., 2005, Applications of probabilistic modelling in medical informatics and bioinformatics. Dybowski, R., Husmeier, D. & Roberts, S. J. (eds.). Springer, p. 371-389 19 p. (Advanced information and knowledge processing).

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  • Evolution of competing strategies in a threshold model for task allocation

    Goldingay, H. & van Mourik, J., 2010, Software engineering, artificial intelligence, networking and parallel/distributed computing 2010: SNPD2010. Lee, R. (ed.). Berlin Heidelberg: Springer, p. 85-98 14 p. (Studies in computational Intelligence; vol. 295).

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  • Exchanging uncertainty: interoperable geostatistics?

    Williams, M., Cornford, D., Bastin, L. & Ingram, B. R., 2008, geoENV VII – Geostatistics for Environmental Applications. Springer, Vol. 16. p. 321-331 11 p.

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  • GIS-based data synthesis and visualization

    Rocchini, D., Garzon-Lopez, C. X., Barbosa, A. M., Delucchi, L., Olandi, J. E., Marcantonio, M., Bastin, L. & Wegmann, M., 21 Oct 2017, Ecological Informatics: Data Management and Knowledge Discovery: Third Edition. Springer, p. 273-286 14 p.

    Research output: Chapter in Book/Published conference outputChapter

  • Incorporating curvature information into on-line learning

    Rattray, M. & Saad, D., Jan 1999, On-line learning in neural networks. Saad, D. (ed.). Isaac Newton Institute, Cambridge: Cambridge University Press, p. 183-207 25 p. (Publications of the Newton Institute).

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  • Independent component analysis for domain independent watermarking

    Bounkong, S., Saad, D. & Lowe, D., 1 Jan 2002, Artificial Neural Networks — ICANN 2002. Dorronso, J. R. (ed.). Berlin: Springer, Vol. 2415. p. 510-515 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2415 LNCS).

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  • Magnetization enumerator for LDPC codes - a statistical physics approach

    van Mourik, J., Saad, D. & Kabashima, Y., 2002, Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on. IEEE, p. 256-256 1 p.

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  • Modelling conditional probability distributions for periodic variables

    Nabney, I. T., Bishop, C. M. & Legleye, C., 26 Jun 1995, Fourth International Conference on Artificial Neural Networks. IEEE, Vol. 4. p. 177-182 6 p.

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  • Modelling conditional probability distributions for periodic variables

    Nabney, I. T. & Bishop, C. M., 1995, Proceedings International Conference on Artificial Neural Networks ICANN'95. Fougelman-Soulie, F. & Gallinari, P. (eds.). Paris (FR): EC2 et Cie, Vol. 2. p. 209-214 6 p.

    Research output: Chapter in Book/Published conference outputChapter

  • Modelling financial time series with switching state space models

    Azzouzi, M. & Nabney, I. T., 1999, Proceedings of the IEEE/IAFE 1999 Conference on Computational Intelligence for Financial Engineering. Port Jefferson, NY: IEEE, p. 240-249 10 p.

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  • Modelling of non-stationary processes using radial basis function networks

    Lowe, D. & McLachlan, A., 26 Jun 1995, Proceedings of the 4th IEE International Conference on Artificial Neural Networks. Cambridge: IEEE, p. 300-305 6 p.

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  • Mode-locking in 25-km fibre laser

    Ivanenko, A., Turitsyn, S. K., Kobtsev, S. & Dubov, M., Dec 2010, ECOC 2010 – 36th European Conference and Exhibition on Optical Communication: proceedings. IEEE, Vol. 1-2. 3 p. Tu.5.D.1

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  • Natural gradient matrix momentum

    Scarpetta, S., Rattray, M. & Saad, D., 7 Sep 1999, Ninth International Conference on Artificial Neural Networks, ICANN 99. Edinburgh UK: IEEE, Vol. 1. p. 43-48 6 p. (Conference Publication; vol. 470).

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  • Nonlinear Waves in Multimode Fibers

    Chekhovskoy, I. S., Sidelnikov, O. S., Reduyk, A. A., Rubenchik, A. M., Shtyrina, O. V., Fedoruk, M. P., Turitsyn, S. K., Zlobina, E. A., Kablukov, S. I., Babin, S. A., Krupa, K., Couderc, V., Tonello, A., Barthélémy, A., Millot, G. & Wabnitz, S., 12 Dec 2017, Handbook of Optical Fibers. Peng, G-D. (ed.). p. 1-55

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  • Online approximations for wind-field models

    Csató, L., Cornford, D. & Opper, M., 1 Jan 2001, Artificial Neural Networks — ICANN 2001. Springer, Vol. 2130. p. 300-307 8 p. (Lecture Notes in Computer Science).

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  • On-line learning in multilayer neural networks

    Saad, D. & Solla, S. A., 1997, Proceedings of the first international conference on mathematics of neural networks : models, algorithms and applications: models, algorithms and applications. Oxford: Kluwer

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  • Parallel geostatistics for sparse and dense datasets

    Ingram, B. R. & Cornford, D., 2008, geoENV VII – Geostatistics for Environmental Applications. Springer, Vol. 16. p. 371-381 11 p.

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  • Pattern competition in homogeneously heated fluid layers

    Cartland Glover, G. & Generalis, S. C., May 2008, Eurotherm 2008: 5th European Thermal-Sciences Conference 18-22 May 2008. Stoffels, G. M. M., van der Meer, T. H. & van Steenhoven, A. A. (eds.). Eindhoven (NL): Eindhoven University of Technology, p. THP_18

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  • Populations of RNA molecules as computational model for evolution

    Stich, M., Briones, C., Lázaro, E. & Manrubia, S. C., 2010, Evolutionary Biology - Concepts, Molecular and Morphological Evolution: 13th meeting 2009. Pontarotti, P. (ed.). Berlin (DE): Springer, p. 67-79 13 p.

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  • Practical 3D reconstruction based on photometric stereo

    Vogiatzis, G. & Hernández, C., 2010, Computer vision: detection, recognition and reconstruction. Cipolla, R., Battiato, S. & Farinella, G. M. (eds.). Berlin (US): Springer, p. 313-345 33 p. (Studies in Computational Intelligence; vol. 285).

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  • Practical assessment of neural network applications

    Nabney, I. T., Paven, M. J. S., Eldridge, R. C. & Lee, C., 1997, SafeComp 97: Proceedings of the 16th International Conference on Computing Safety, Reliability and Security. Daniel, P. (ed.). London: Springer, p. 357-368 12 p.

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  • Prediction of paroxysmal atrial fibrillation

    Woodcock, D. & Nabney, I. T., 2005, Proceedings of the 2nd International Conference on Computational Intelligence in Medicine and Healthcare (CIMED2005). Plymouth: BIOPATTERN Network of Excellence, p. 376-382 7 p.

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  • Projection and interpolation based techniques for structured and impulsive noise filtering

    Lamichhane, B. & Rebollo - Neira, L., 1 Oct 2008, New Signal Processing Research. Maeda, T. (ed.). Nova science, p. 127-158 32 p.

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  • Random distributed feedback Raman fiber lasers

    Babin, S. A., Kablukov, S. I., Zlobina, E. A., Podivilov, E. V., Abdullina, S. R., Lobach, I. A., Kuznetsov, A. G., Vatnik, I. D., Churkin, D. V. & Turitsyn, S. K., 7 Oct 2017, Springer Series in Optical Sciences. Springer, Vol. 207. p. 273-354 82 p. (Springer Series in Optical Sciences; vol. 207).

    Research output: Chapter in Book/Published conference outputChapter

  • Range of validity of weakly non-linear theory in Rayleigh-Bénard convection

    Generalis, S. C. & Fujimura, K., May 2008, Proceedings 5th European Thermal-Sciences Conference. Stoffels, G. G. M., van der Meer, T. H. & van Steenhoven, A. A. (eds.). Eindhoven (NL): Eindhoven University of Technology, p. NCV_2

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  • Reconstruction of acoustically sound-hard obstacles from the far field using a boundary integral equation method

    Ivanyshyn, O. & Johansson, B. T., 2008, Advanced topics in scattering and biomedical engineering: proceedings of the 8th international workshop on mathematical methods in scattering theory and biomedical engineering. Charalambopoulos, A., Fotiadis, D. I. & Polyzos, D. (eds.). London (UK): World Scientific, p. 47-56 10 p.

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  • Recursive self-organizing map as a contractive iterative function system

    Tiňo, P., Farkaš, I. & van Mourik, J., 20 Jun 2005, Intelligent Data Engineering and Automated Learning - IDEAL 2005. Gallagher, M., Hogan, J. & Maire, F. (eds.). Berlin (DE): Springer, p. 327-334 8 p. (Lecture Notes in Computer Science; vol. 3578).

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  • Reference scenarios for self-aware computing

    Kephart, J. O., Maggio, M., Diaconescu, A., Giese, H., Hoffmann, H., Kounev, S., Koziolek, A., Lewis, P., Robertsson, A. & Spinner, S., 21 Feb 2017, Self-Aware Computing Systems. Springer, p. 87-106 20 p.

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  • Robust automatic mapping algorithms in a network monitoring scenario

    Ingram, B. R., Cornford, D. & Csató, L., 29 May 2010, geoENV VII – Geostatistics for Environmental Applications: proceedings of the seventh European Conference on Geostatistics for Environmental Applications. Springer, Vol. 16. p. 359-370 12 p.

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  • Rule induction for data exploration

    Nabney, I. T. & Grasl, O., 1991, Proceedings of Avignon 91: Expert systems and their applications. EC2 et Cie, Vol. 1. p. 329-341 13 p.

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  • Self-adaptation in Collective Self-aware Computing Systems

    Kephart, J. O., Diaconescu, A., Giese, H., Robertsson, A., Abdelzaher, T., Lewis, P., Filieri, A., Esterle, L. & Frey, S., 21 Feb 2017, Self-Aware Computing Systems. Springer, p. 401-435 35 p.

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