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• Beamforming with 1 × N Conformal Arrays

  Ullah, I., Braaten, B. D., Iftikhar, A., Nikolaou, S. & Anagnostou, D. E., 1 Sep 2022, In: Sensors. 22, 17, 6616.

  Research output: Contribution to journal › Article › peer-review

  Open Access

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  4 Downloads (Pure)

• Beam forming dielectric cylindrical EBG antenna

  Biancotto, C. & Record, P., 8 Dec 2009, Loughborough Antennas and Propagation Conference, LAPC 2009 - Conference Proceedings. p. 425-428 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Citations (Scopus)

• Beamforming design for full-duplex cellular and MIMO radar coexistence: A rate maximization approach

  Biswas, S., Singh, K., Taghizadeh, O., Ratnarajah, T. & Sellathurai, M., 13 Sep 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). IEEE, p. 3384-3388 5 p. (International Conference on Acoustics, Speech and Signal Processing).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Citations (Scopus)

• Beamforming-deconvolution: A novel concept of deconvolution for ultrasound imaging

  Chen, Z., Besson, A., Thiran, J-P. & Wiaux, Y., 2 Feb 2017, International Biomedical and Astronomical Signal Processing Frontiers Workshop 2017.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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  39 Downloads (Pure)

• Beam delivery systems

  Colles, M. J., 1989, In: Lasers in Medical Science. 4, SUPPL., p. 155-158 4 p.

  Research output: Contribution to journal › Article › peer-review

• Beam delivery characteristics of optical fibres for carbon monoxide lasers

  Somkuarnpanit, S., Su, D., Villarreal, F., Colley, A. D., Baker, H. J., Jones, J. D. C. & Hall, D. R., 1995, In: Optics and Lasers in Engineering. 23, 4, p. 221-231 11 p.

  Research output: Contribution to journal › Article › peer-review
  3 Citations (Scopus)

• Beam combination schemes and technologies for the Planet Formation Imager

  Minardi, S., Lacour, S., Berger, J. P., Labadie, L., Thomson, R. R., Haniff, C. & Ireland, M., 4 Aug 2016, Optical and Infrared Interferometry and Imaging V. Malbet, F., Creech-Eakman, M. J. & Tuthill, P. G. (eds.). SPIE, 99071N. (Proceedings of SPIE; vol. 9907).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  10 Citations (Scopus)

• Bdellovibrio: growth and development during the predatory cycle

  Lambert, C., Morehouse, K. A., Chang, C-Y. & Sockett, R. E., Dec 2006, In: Current Opinion in Microbiology. 9, 6, p. 639-644 6 p.

  Research output: Contribution to journal › Article › peer-review
  41 Citations (Scopus)

• BCB film based SAW humidity sensor

  Liu, Y., Wang, C. & Li, Y., 1 Sep 2011, In: Electronics Letters. 47, 18, p. 1012-1014 2 p.

  Research output: Contribution to journal › Article › peer-review
  5 Citations (Scopus)

• BCB-based wafer-level packaging of integrated CMOS/SOI piezoresistive MEMS sensors

  Weiland, D., Chaehoi, A., Ray, S., O'Connell, D., Begbie, M. & Wang, C., 2009, 2009 European Microelectronics and Packaging Conference, EMPC 2009.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  1 Citation (Scopus)

• BBC ALBA's contributions to Gaelic language planning efforts for reversing language shift

  Milligan, L., Chalmers, D., Danson, M. & Lang, A., 2011, In: Current Issues in Language Planning. 12, 3, p. 349-361 13 p.

  Research output: Contribution to journal › Article › peer-review
  7 Citations (Scopus)

• BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations

  Zhao, X., Huang, W., Huang, X., Robu, V. & Flynn, D., 2021, p. 887-896. 10 p.

  Research output: Contribution to conference › Paper › peer-review
  11 Citations (Scopus)

• Bayesian unsupervised unmixing of hyperspectral images using a post-nonlinear model

  Altmann, Y., Dobigeon, N. & Tourneret, J-Y., 8 May 2014, 21st European Signal Processing Conference (EUSIPCO 2013). IEEE, 6811647. (European Signal Processing Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  2 Citations (Scopus)

• Bayesian Symbol Detection in Wireless Relay Networks via Likelihood-Free Inference

  Peters, G. W., Nevat, I., Sisson, S. A., Fan, Y. & Yuan, J., 1 Oct 2010, In: IEEE Transactions on Signal Processing. 58, 10, p. 5206-5218

  Research output: Contribution to journal › Article › peer-review
  6 Citations (Scopus)

• Bayesian stochastic mortality modeling for two populations

  Cairns, A. J. G., Blake, D., Dowd, K., Coughlan, G. D. & Khalaf-Allah, M., 2011, In: ASTIN Bulletin: The Journal of the IAA. 41, 1, p. 29-59 31 p.

  Research output: Contribution to journal › Article › peer-review
  158 Citations (Scopus)

• Bayesian Spectrum Analysis of Non-Linear Ultrasound Contrast Microbubble Signals

  Diamantis, K., Hopgood, J. R. & Sboros, V., 20 Dec 2018, 2018 IEEE International Ultrasonics Symposium (IUS). IEEE, 8580134. (IEEE International Ultrasonics Symposium (IUS)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

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  27 Downloads (Pure)

• Bayesian spectral estimation applied to echo signals from nonlinear ultrasound scatterers

  Yan, Y., Hopgood, J. R. & Sboros, V., 2011, In: EURASIP Journal on Advances in Signal Processing. 10 p., 146175.

  Research output: Contribution to journal › Article › peer-review

  Open Access

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  4 Citations (Scopus)

  192 Downloads (Pure)

• Bayesian spatiotemporal segmentation of combined PET-CT data using a bivariate poisson mixture model

  Irace, Z. & Batatia, H., 13 Nov 2014, 2014 22nd European Signal Processing Conference (EUSIPCO). IEEE, p. 2095-2099 5 p. (European Signal Processing Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  1 Citation (Scopus)

• Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks

  Xiang, Q., Nevat, I. & Peters, G., 2020, In: IEEE Transactions on Signal Processing. 68, p. 4336-4351 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

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  1 Citation (Scopus)

  24 Downloads (Pure)

• Bayesian Solution Uncertainty Quantification for Differential Equations

  Dass, S. C., Dec 2016, In: Bayesian Analysis. 11, 4, p. 1275-1277 3 p.

  Research output: Contribution to journal › Editorial › peer-review
  1 Citation (Scopus)

• Bayesian segmentation of chest tumors in pet scans using a Poisson-Gamma mixture model

  Irace, Z., Pereyra, M. A., Dobigeon, N. & Batatia, H., 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP). p. 809-812 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Citations (Scopus)

• Bayesian Risk Measures for Derivatives via Random Esscher Transform

  Siu, T. K., Tong, H. & Yang, H., 2001, In: North American Actuarial Journal. 5, 3, p. 78-91 14 p.

  Research output: Contribution to journal › Article › peer-review

  20 Citations (Scopus)

• Bayesian restoration of reflectivity and range profiles from subsampled single-photon multispectral lidar data

  Altmann, Y., Tobin, R., Maccarone, A., Ren, X., McCarthy, A., Buller, G. S. & McLaughlin, S., 26 Oct 2017, 25th European Signal Processing Conference (EUSIPCO). IEEE, p. 1410-1414 5 p. (European Signal Processing Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access
  4 Citations (Scopus)

• Bayesian Restoration of high-dimensional photon-starved images

  Tachella, J., Altmann, Y., Pereyra, M., McLaughlin, S. & Tourneret, J-Y., 3 Dec 2018, 2018 26th European Signal Processing Conference (EUSIPCO). IEEE, p. 747-751 5 p. (European Signal Processing Conference (EUSIPCO)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File
  4 Citations (Scopus)

  97 Downloads (Pure)

• Bayesian reservoir history matching considering model and parameter uncertainties

  Elsheikh, A. H., Jackson, M. D. & Laforce, T. C., 1 Jul 2012, In: Mathematical Geosciences. 44, 5, p. 515-543 29 p.

  Research output: Contribution to journal › Article › peer-review
  41 Citations (Scopus)

• Bayesian reconstruction of hyperspectral images by using compressed sensing measurements and a local structured prior

  Mejia, Y., Arguello, H., Costa, F., Tourneret, J-Y. & Batatia, H., 19 Jun 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, p. 3116-3120 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Bayesian quantum phase estimation on an integrated Silicon photonic device

  Paesani, S., Gentile, A. A., Santagati, R., Wang, J., Wiebe, N., Miki, S., Yamashita, T., Terai, H., Fujiwara, M., Sasaki, M., Tanner, M. G., Natarajan, C. M., Hadfield, R. H., Tew, D., O’Brien, J. L. & Thompson, M. G., 2016, Frontiers in Optics 2016. OSA Publishing, FTu3G.5

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Bayesian prediction of disability insurance frequencies using economic indicators

  Donnelly, C. & Wuethrich, M., 1 Sep 2012, In: Annals of Actuarial Science. 6, 2, p. 381-400 20 p.

  Research output: Contribution to journal › Article › peer-review

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  32 Downloads (Pure)

• Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks: Online Environmental Field Reconstruction in Space and Time

  Xu, Y., Choi, J., Dass, S. & Maiti, T., 2016, 1 ed. (SpringerBriefs in Control, Automation and Robotics)

  Research output: Book/Report › Book

• Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks

  Xu, Y., Choi, J., Dass, S. & Maiti, T., 18 Aug 2011, Proceedings of the 2011 American Control Conference. IEEE, p. 4195-4200 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  8 Citations (Scopus)

• Bayesian portfolio mean-variance efficiency test with sharpe ratio’s sampling error

  Kao, L-J., Soo, H. C. & Lee, C. F., 2020, Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning. World Scientific Publishing, Vol. 3. p. 3241-3261 21 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  1 Citation (Scopus)

• Bayesian phylogenetics of bryozoa

  Hayward, P., Porter, J., Skibinski, D. O. F. & Tsyganov-Bodounov, A., 2009, In: Molecular Phylogenetics and Evolution. 52, p. 904-910 7 p.

  Research output: Contribution to journal › Article

  Open Access

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  18 Citations (Scopus)

  398 Downloads (Pure)

• Bayesian Optimization for Sparse Artificial Neural Networks: Application to Change Detection in Remote Sensing

  Fakhfakh, M., Bouaziz, B., Batatia, H. & Chaari, L., 21 Apr 2022, Proceedings of International Conference on Information Technology and Applications. ICITA 2021. Ullah, A., Gill, S., Rocha, Á. & Anwar, S. (eds.). Springer, p. 39-49 11 p. (Lecture Notes in Networks and Systems; vol. 350).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Bayesian optimization algorithm applied to uncertainty quantification

  Abdollahzadeh, A., Reynolds, A., Christie, M. A., Corne, D., Davies, B. & Williams, G., May 2011, p. 14 pp. 14 p.

  Research output: Contribution to conference › Paper

• Bayesian optimization algorithm applied to uncertainty quantification

  Abdollahzadeh, A., Reynolds, A., Christie, M. A., Corne, D., Davies, B. & Williams, G., Sep 2012, In: SPE Journal. 17, 3, p. 865-873 9 p.

  Research output: Contribution to journal › Article › peer-review
  22 Citations (Scopus)

• Bayesian nonlinear hyperspectral unmixing with spatial residual component analysis

  Altmann, Y., Pereyra, M. & McLaughlin, S., Sep 2015, In: IEEE Transactions on Computational Imaging. 1, 3, p. 174 - 185

  Research output: Contribution to journal › Article › peer-review

  Open Access

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  39 Downloads (Pure)

• Bayesian network modelling for supply chain risk propagation

  Ojha, R., Ghadge, A., Tiwari, M. K. & Bititci, U. S., 4 May 2018, (E-pub ahead of print) In: International Journal of Production Research.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  139 Citations (Scopus)

  152 Downloads (Pure)

• Bayesian multiple target tracking in forward scan sonar images using the PHD filter

  Clark, D. E. & Bell, J., Oct 2005, In: IEE Proceedings - Radar, Sonar and Navigation. 152, 5, p. 327-334 8 p.

  Research output: Contribution to journal › Article › peer-review
  85 Citations (Scopus)

• Bayesian Multiple Target Filtering Using Random Finite Sets

  Vo, B. N., Vo, B. T. & Clark, D. E., 2013, Integrated Tracking, Classification, and Sensor Management: Theory and Applications. Wiley, p. 75-126 52 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  5 Citations (Scopus)

• Bayesian multi-object filtering with amplitude feature likelihood for unknown object snr

  Clark, D., Ristić, B., Vo, B. N. & Vo, B. T., Jan 2010, In: IEEE Transactions on Signal Processing. 58, 1, p. 26-37 12 p., 5208232.

  Research output: Contribution to journal › Article › peer-review
  87 Citations (Scopus)

• Bayesian multifractal analysis of multi-temporal images using smooth priors

  Combrexelle, S., Wendt, H., Toumeret, J. Y., Abry, P. & McLaughlin, S., 25 Aug 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 7551847

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Bayesian Model Selection for Unsupervised Image Deconvolution with Structured Gaussian Priors

  Harroue, B., Giovannelli, J-F. & Pereyra, M., 19 Aug 2021, 2021 IEEE Statistical Signal Processing Workshop (SSP). IEEE, p. 241-245 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Bayesian Model Selection for Complex Geological Structures Using Polynomial Chaos Proxy

  Bazargan, H. & Christie, M. A., Jun 2017, In: Computational Geosciences. 21, 3, p. 533–551 19 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  2 Citations (Scopus)

  98 Downloads (Pure)

• Bayesian model selection and parameter estimation in penalized regression model using SMC samplers

  Nguyen, T. L. T., Septier, F., Peters, G. W. & Delignon, Y., 8 May 2014, 21st European Signal Processing Conference (EUSIPCO 2013). IEEE, 6811777

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Citations (Scopus)

• Bayesian modelling of the time delay between diagnosis and settlement for Critical Illness Insurance using a Burr generalised-linear-type model

  Ozkok, E., Streftaris, G., Waters, H. R. & Wilkie, D., Mar 2012, In: Insurance: Mathematics and Economics. 50, 2, p. 266-279 14 p.

  Research output: Contribution to journal › Article › peer-review
  6 Citations (Scopus)

• Bayesian Modelling of the Consistency of Symptoms Reported During Hypoglycaemia for Individual Patients

  Zulkafli, H. S., Streftaris, G., Gibson, G. J. & Zammitt, N. N., Mar 2016, In: Malaysian Journal of Mathematical Sciences. 10, S, p. 27-39

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  2 Citations (Scopus)

  76 Downloads (Pure)

• Bayesian modelling of an epidemic of severe acute respiratory syndrome

  McBryde, E. S., Gibson, G., Pettitt, A. N., Zhang, Y., Zhao, B. & McElwain, D. L. S., May 2006, In: Bulletin of Mathematical Biology. 68, 4, p. 889-917 29 p.

  Research output: Contribution to journal › Article › peer-review
  21 Citations (Scopus)

• Bayesian Modelling, Monte Carlo Sampling and Capital Allocation of Insurance Risks

  Peters, G., Targino, R. & Wüthrich, M., 20 Dec 2017, In: Risks. 5, 4, p. 53

  Research output: Contribution to journal › Article › peer-review

  Open Access
  5 Citations (Scopus)

• Bayesian methods for estimating pathogen prevalence within groups of animals from faecal-pat sampling

  Clough, H. E., Clancy, D., O'Neill, P. D. & French, N. P., 15 May 2003, In: Preventive Veterinary Medicine. 58, 3-4, p. 145-169 25 p., 12706055.

  Research output: Contribution to journal › Article › peer-review
  13 Citations (Scopus)

• Bayesian joint estimation of the multifractality parameter of image patches using gamma Markov Random Field priors

  Combrexelle, S., Wendt, H., Altmann, Y., Tourneret, J-Y., McLaughlin, S. & Abry, P., 19 Aug 2016, 2016 IEEE International Conference on Image Processing (ICIP). IEEE, p. 4468-4472 5 p. (IEEE International Conference on Image Processing).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)