Department of Engineering

Professor Mark Girolami - Publications

Number of items: 257.

Article

Monterrubio-Gómez, K and Roininen, L and Wade, S and Damoulas, T and Girolami, M (2020) Posterior inference for sparse hierarchical non-stationary models. Computational Statistics and Data Analysis, 148. ISSN 0167-9473

Menberg, K and Bidarmaghz, A and Gregory, A and Choudhary, R and Girolami, M (2020) Multi-fidelity approach to Bayesian parameter estimation in subsurface heat and fluid transport models. Science of The Total Environment, 745. p. 140846. ISSN 0048-9697

Wong, CY and Seshadri, P and Parks, GT and Girolami, M (2020) Embedded ridge approximations. Computer Methods in Applied Mechanics and Engineering, 372. ISSN 0045-7825

Povala, J and Virtanen, S and Girolami, M (2020) Burglary in London: insights from statistical heterogeneous spatial point processes. Journal of the Royal Statistical Society. Series C: Applied Statistics, 69. pp. 1067-1090. ISSN 0035-9254

Girolami, M and Febrianto, E and Yin, G and Cirak, F (2020) The statistical finite element method (statFEM) for coherent synthesis of observation data and model predictions. Computer Methods in Applied Mechanics and Engineering. ISSN 0045-7825 (Unpublished)

Kuok, SC and Yuen, KV and Roberts, S and Girolami, MA (2020) Propagative broad learning for nonparametric modeling of ambient effects on structural health indicators. Structural Health Monitoring. ISSN 1475-9217

Scalzo, R and Kohn, D and Olierook, H and Houseman, G and Chandra, R and Girolami, M and Cripps, S (2019) Efficiency and robustness in Monte Carlo sampling for 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success. Geoscientific Model Development, 12. pp. 2941-2960. ISSN 1991-959X

Osipenko, M and Ceriale, V and Gariano, G and Girolami, M and Cerchi, S and Nolte, R and Pirovano, E and Ripani, M and Trucchi, DM (2019) Calibration of a <sup>6</sup> Li diamond-sandwich spectrometer with quasi-monoenergetic neutrons. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 931. pp. 135-141. ISSN 0168-9002

Manderson, A and Rayson, MD and Cripps, E and Girolami, M and Gosling, JP and Hodkiewicz, M and Ivey, GN and Jones, NL (2019) Uncertainty quantification of density and stratification estimates with implications for predicting ocean dynamics. Journal of Atmospheric and Oceanic Technology, 36. pp. 1313-1330. ISSN 0739-0572

Mendoza, A and Roininen, L and Girolami, M and Heikkinen, J and Haario, H (2019) Accelerated whole-core analysis optimization with wellsite tomography instrumentation and Bayesian inversion. Petrophysics, 60. pp. 384-396. ISSN 1529-9074

Oates, CJ and Cockayne, J and Briol, FX and Girolami, M (2019) Convergence rates for a class of estimators based on Stein’s method. Bernoulli, 25. pp. 1141-1159. ISSN 1350-7265

Mendoza, A and Roininen, L and Girolami, M and Heikkinen, J and Haario, H (2019) Statistical methods to enable practical on-site tomographic imaging of whole-core samples. Geophysics, 84. D89-D100. ISSN 0016-8033

Gregory, A and Lau, FDH and Girolami, M and Butler, LJ and Elshafie, MZEB (2019) The synthesis of data from instrumented structures and physics-based models via Gaussian processes. Journal of Computational Physics, 392. pp. 248-265. ISSN 0021-9991

Briol, FX and Oates, CJ and Girolami, M and Osborne, MA and Sejdinovic, D (2019) Probabilistic integration: A role in statistical computation? Statistical Science, 34. pp. 1-22. ISSN 0883-4237

Briol, FX and Oates, CJ and Girolami, M and Osborne, MA and Sejdinovic, D (2019) Rejoinder: Probabilistic integration: A role in statistical computation? Statistical Science, 34. pp. 38-42. ISSN 0883-4237

Ranasinghe, GD and Lindgren, T and Girolami, M and Parlikad, AK (2019) A Methodology for Prognostics Under the Conditions of Limited Failure Data Availability. IEEE Access, 7. pp. 183996-184007.

Girolami, M and Ipsen, ICF and Oates, CJ and Owen, AB and Sullivan, TJ (2019) Editorial: special edition on probabilistic numerics. Statistics and Computing, 29. pp. 1181-1183. ISSN 0960-3174

Oates, CJ and Cockayne, J and Aykroyd, RG and Girolami, M (2019) Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment. Journal of the American Statistical Association, 114. pp. 1518-1531. ISSN 0162-1459

Cockayne, J and Oates, CJ and Sullivan, TJ and Girolami, M (2019) Bayesian probabilistic numerical methods. SIAM Review, 61. pp. 756-789. ISSN 0036-1445

Roininen, L and Girolami, M and Lasanen, S and Markkanen, M (2019) Hyperpriors for matérn fields with applications in bayesian inversion. Inverse Problems and Imaging, 13. pp. 1-29. ISSN 1930-8337

Barp, A and Briol, FX and Duncan, AB and Girolami, M and Mackey, L (2019) Minimum Stein discrepancy estimators. Advances in Neural Information Processing Systems, 32. ISSN 1049-5258

Hamelijnck, O and Damoulas, T and Wang, K and Girolami, MA (2019) Multi-resolution multi-task Gaussian processes. Advances in Neural Information Processing Systems, 32. ISSN 1049-5258

Livingstone, S and Betancourt, M and Byrne, S and Girolami, M (2019) On the geometric ergodicity of Hamiltonian Monte Carlo. Bernoulli, 25. pp. 3109-3138. ISSN 1350-7265

Dunlop, MM and Girolami, MA and Stuart, AM and Teckentrup, AL (2018) How deep are deep Gaussian processes? Journal of Machine Learning Research, 19. pp. 1-46. ISSN 1532-4435

Ellam, L and Girolami, M and Pavliotis, GA and Wilson, A (2018) Stochastic modelling of urban Structure. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 474. ISSN 1364-5021

Lau, FDH and Adams, NM and Girolami, MA and Butler, LJ and Elshafie, MZEB (2018) The role of statistics in data-centric engineering. Statistics and Probability Letters, 136. pp. 58-62. ISSN 0167-7152

Barp, A and Briol, FX and Kennedy, AD and Girolami, M (2018) Geometry and Dynamics for Markov Chain Monte Carlo. Annual Review of Statistics and Its Application, 5. pp. 451-471. ISSN 2326-8298

Mac Aodha, O and Gibb, R and Barlow, KE and Browning, E and Firman, M and Freeman, R and Harder, B and Kinsey, L and Mead, GR and Newson, SE and Pandourski, I and Parsons, S and Russ, J and Szodoray-Paradi, A and Szodoray-Paradi, F and Tilova, E and Girolami, M and Brostow, G and Jones, KE (2018) Bat detective—Deep learning tools for bat acoustic signal detection. PLoS Computational Biology, 14. ISSN 1553-734X

Osipenko, M and Bellucci, A and Ceriale, V and Corsini, D and Gariano, G and Gatti, F and Girolami, M and Minutoli, S and Panza, F and Pillon, M and Ripani, M and Trucchi, DM (2018) Upgrade of the compact neutron spectrometer for high flux environments. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 883. pp. 14-19. ISSN 0168-9002

Stathopoulos, V and Zamora-Gutierrez, V and Jones, KE and Girolami, M (2018) Bat echolocation call identification for biodiversity monitoring: a probabilistic approach. Journal of the Royal Statistical Society. Series C: Applied Statistics, 67. pp. 165-183. ISSN 0035-9254

Noonan, J and Asiala, SM and Grassia, G and MacRitchie, N and Gracie, K and Carson, J and Moores, M and Girolami, M and Bradshaw, AC and Guzik, TJ and Meehan, GR and Scales, HE and Brewer, JM and McInnes, IB and Sattar, N and Faulds, K and Garside, P and Graham, D and Maffia, P (2018) In vivo multiplex molecular imaging of vascular inflammation using surface-enhanced Raman spectroscopy. Theranostics, 8. pp. 6195-6209.

Conrad, PR and Girolami, M and Särkkä, S and Stuart, A and Zygalakis, K (2017) Statistical analysis of differential equations: introducing probability measures on numerical solutions. Statistics and Computing, 27. pp. 1065-1082. ISSN 0960-3174

Oates, CJ and Girolami, M and Chopin, N (2017) Control functionals for Monte Carlo integration. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 79. pp. 695-718. ISSN 1369-7412

Jensen, K and Soguero-Ruiz, C and Oyvind Mikalsen, K and Lindsetmo, RO and Kouskoumvekaki, I and Girolami, M and Olav Skrovseth, S and Magne Augestad, K (2017) Analysis of free text in electronic health records for identification of cancer patient trajectories. Scientific Reports, 7.

Beskos, A and Girolami, M and Lan, S and Farrell, PE and Stuart, AM (2017) Geometric MCMC for infinite-dimensional inverse problems. Journal of Computational Physics, 335. pp. 327-351. ISSN 0021-9991

Betancourt, M and Byrne, S and Livingstone, S and Girolami, M (2017) The geometric foundations of Hamiltonian Monte Carlo. Bernoulli, 23. pp. 2257-2298. ISSN 1350-7265

Ellam, L and Strathmann, H and Girolami, M and Murray, I (2017) A determinant-free method to simulate the parameters of large Gaussian fields. Stat, 6. pp. 271-281.

Koutsourelakis, PS and Zabaras, N and Girolami, M (2016) Special Issue: Big data and predictive computational modeling. Journal of Computational Physics, 321. pp. 1252-1254. ISSN 0021-9991

House, T and Ford, A and Lan, S and Bilson, S and Buckingham-Jeffery, E and Girolami, M (2016) Bayesian uncertainty quantification for transmissibility of influenza, norovirus and Ebola using information geometry. Journal of the Royal Society Interface, 13. ISSN 1742-5689

Epstein, M and Calderhead, B and Girolami, MA and Sivilotti, LG (2016) Bayesian Statistical Inference in Ion-Channel Models with Exact Missed Event Correction. Biophysical Journal, 111. pp. 333-348. ISSN 0006-3495

Banushi, B and Forneris, F and Straatman-Iwanowska, A and Strange, A and Lyne, AM and Rogerson, C and Burden, JJ and Heywood, WE and Hanley, J and Doykov, I and Straatman, KR and Smith, H and Bem, D and Kriston-Vizi, J and Ariceta, G and Risteli, M and Wang, C and Ardill, RE and Zaniew, M and Latka-Grot, J and Waddington, SN and Howe, SJ and Ferraro, F and Gjinovci, A and Lawrence, S and Marsh, M and Girolami, M and Bozec, L and Mills, K and Gissen, P (2016) Regulation of post-Golgi LH3 trafficking is essential for collagen homeostasis. Nature Communications, 7.

Oates, CJ and Papamarkou, T and Girolami, M (2016) The Controlled Thermodynamic Integral for Bayesian Model Evidence Evaluation. Journal of the American Statistical Association, 111. pp. 634-645. ISSN 0162-1459

Lan, S and Bui-Thanh, T and Christie, M and Girolami, M (2016) Emulation of higher-order tensors in manifold Monte Carlo methods for Bayesian Inverse Problems. Journal of Computational Physics, 308. pp. 81-101. ISSN 0021-9991

Ellam, L and Zabaras, N and Girolami, M (2016) A Bayesian approach to multiscale inverse problems with on-the-fly scale determination. Journal of Computational Physics, 326. pp. 115-140. ISSN 0021-9991

Chkrebtii, OA and Campbell, DA and Calderhead, B and Girolami, MA (2016) Bayesian solution uncertainty quantification for differential equations. Bayesian Analysis, 11. pp. 1239-1267. ISSN 1936-0975

Chkrebtii, OA and Campbell, DA and Calderhead, B and Girolami, MA (2016) o Rejoinder. BAYESIAN ANALYSIS, 11. pp. 1295-1299. ISSN 1931-6690

Gracie, K and Moores, M and Smith, WE and Harding, K and Girolami, M and Graham, D and Faulds, K (2016) Preferential Attachment of Specific Fluorescent Dyes and Dye Labeled DNA Sequences in a Surface Enhanced Raman Scattering Multiplex. Analytical Chemistry, 88. pp. 1147-1153. ISSN 0003-2700

Rondina, JM and Filippone, M and Girolami, M and Ward, NS (2016) Decoding post-stroke motor function from structural brain imaging. NeuroImage: Clinical, 12. pp. 372-380.

Virtanen, S and Rost, M and Morrison, A and Chalmers, M and Girolami, M (2016) Uncovering smartphone usage patterns with multi-view mixed membership models. Stat, 5. pp. 57-69.

Hennig, P and Osborne, MA and Girolami, M (2015) Probabilistic numerics and uncertainty in computations. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 471. ISSN 1364-5021

Schwentner, R and Papamarkou, T and Kauer, MO and Stathopoulos, V and Yang, F and Bilke, S and Meltzer, PS and Girolami, M and Kovar, H (2015) EWS-FLI1 employs an E2F switch to drive target gene expression. Nucleic Acids Research, 43. pp. 2780-2789. ISSN 0305-1048

Virtanen, S and Rost, M and Higgs, M and Morrison, A and Chalmers, M and Girolami, M (2015) Non-parametric Bayes to infer playing strategies adopted in a population of mobile gamers. Stat, 4. pp. 46-58.

Lan, S and Stathopoulos, V and Shahbaba, B and Girolami, M (2015) Markov Chain Monte Carlo from Lagrangian Dynamics. Journal of Computational and Graphical Statistics, 24. pp. 357-378. ISSN 1061-8600

Lyne, AM and Girolami, M and Atchadé, Y and Strathmann, H and Simpson, D (2015) On Russian Roulette estimates for Bayesian inference with doubly-intractable likelihoods. Statistical Science, 30. pp. 443-467. ISSN 0883-4237

Jiwaji, M and Sandison, ME and Reboud, J and Stevenson, R and Daly, R and Barkess, G and Faulds, K and Kolch, W and Graham, D and Girolami, MA and Cooper, JM and Pitt, AR (2014) Quantification of functionalised gold nanoparticle-targeted knockdown of gene expression in HeLa cells. PLoS ONE, 9. e99458-.

Byrne, S and Girolami, M (2014) Rejoinder: Geodesic Monte Carlo on embedded manifolds. Scandinavian Journal of Statistics, 41. pp. 19-21. ISSN 0303-6898

Filippone, M and Girolami, M (2014) Pseudo-marginal Bayesian inference for Gaussian processes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36. pp. 2214-2226. ISSN 0162-8828

Bui-Thanh, T and Girolami, M (2014) Solving large-scale PDE-constrained Bayesian inverse problems with Riemann manifold Hamiltonian Monte Carlo. Inverse Problems, 30. ISSN 0266-5611

Kramer, A and Stathopoulos, V and Girolami, M and Radde, N (2014) MCMC_CLIB-an advanced MCMC sampling package for ODE models. Bioinformatics (Oxford, England), 30. pp. 2991-2992.

Girolami, MA (2014) Contribution by M. A. Girolami. Statistical Science, 29. 97-. ISSN 0883-4237

Livingstone, S and Girolami, M (2014) Information-Geometric Markov chain Monte Carlo methods using diffusions. Entropy, 16. pp. 3074-3102.

Xifara, T and Sherlock, C and Livingstone, S and Byrne, S and Girolami, M (2014) Langevin diffusions and the Metropolis-adjusted Langevin algorithm. Statistics and Probability Letters, 91. pp. 14-19. ISSN 0167-7152

Papamarkou, T and Mira, A and Girolami, M (2014) Zero variance differential geometric markov chain monte carlo algorithms. Bayesian Analysis, 9. pp. 97-128. ISSN 1936-0975

Marquand, AF and Filippone, M and Ashburner, J and Girolami, M and Mourao-Miranda, J and Barker, GJ and Williams, SCR and Leigh, PN and Blain, CRV (2013) Automated, High Accuracy Classification of Parkinsonian Disorders: A Pattern Recognition Approach. PLoS ONE, 8.

Diethe, T and Girolami, M (2013) Online learning with (multiple) kernels: A review. Neural Computation, 25. pp. 567-625. ISSN 0899-7667

Girolami, M and Mira, A (2013) Comment on article by Schmidl et al. Bayesian Analysis, 8. pp. 27-32. ISSN 1936-0975

Stathopoulos, V and Girolami, MA (2013) Markov chain monte carlo inference for markov jump processes via the linear noise approximation. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 371. 20110541-. ISSN 1364-503X

Byrne, S and Girolami, M (2013) Geodesic Monte Carlo on embedded manifolds. Scandinavian Journal of Statistics, 40. pp. 825-845. ISSN 0303-6898

Filippone, M and Zhong, M and Girolami, M (2013) A comparative evaluation of stochastic-based inference methods for Gaussian process models. Machine Learning, 93. pp. 93-114. ISSN 0885-6125

Mohamed, L and Calderhead, B and Filippone, M and Christie, M and Girolami, M (2012) Population MCMC methods for history matching and uncertainty quantification. Computational Geosciences, 16. pp. 423-436. ISSN 1420-0597

Yuan, K and Girolami, M and Niranjan, M (2012) Markov chain monte carlo methods for state-space models with point process observations. Neural Computation, 24. pp. 1462-1486. ISSN 0899-7667

Jiwaji, M and Daly, R and Gibriel, A and Barkess, G and McLean, P and Yang, J and Pansare, K and Cumming, S and McLauchlan, A and Kamola, PJ and Bhutta, MS and West, AG and West, KL and Kolch, W and Girolami, MA and Pitt, AR (2012) Unique Reporter-Based Sensor Platforms to Monitor Signalling in Cells. PLoS ONE, 7. e50521-.

Filippone, M and Marquand, AF and Blain, CRV and Williams, SCR and Mourão-Miranda, J and Girolami, M (2012) Probabilistic prediction of neurological disorders with a statistical assessment of neuroimaging data modalities. Annals of Applied Statistics, 6. pp. 1883-1905. ISSN 1932-6157

Zhong, M and Girolami, M and Faulds, K and Graham, D (2011) Bayesian methods to detect dye-labelled DNA oligonucleotides in multiplexed Raman spectra. Journal of the Royal Statistical Society. Series C: Applied Statistics, 60. pp. 187-206. ISSN 0035-9254

Girolami, M and Calderhead, B (2011) Riemann manifold Langevin and Hamiltonian Monte Carlo methods. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 73. pp. 123-214. ISSN 1369-7412

Filippone, M and Mira, A and Girolami, M (2011) Discussion of the paper: "sampling schemes for generalized linear dirichlet process random effects models" by M. Kyung, J. Gill, and G. Casella. Statistical Methods and Applications, 20. pp. 295-297. ISSN 1618-2510

Calderhead, B and Girolami, M (2011) Statistical analysis of nonlinear dynamical systems using differential geometric sampling methods. Interface Focus, 1. pp. 821-835. ISSN 2042-8898

Polajnar, T and Rogers, S and Girolami, MA (2011) Protein interaction detection in sentences via Gaussian Processes: a preliminary evaluation. Int. J. Data Min. Bioinform., 5. pp. 52-72.

Polajnar, T and Damoulas, T and Girolami, MA (2011) Protein interaction sentence detection using multiple semantic kernels. J. Biomed. Semant., 2. p. 1.

Mischak, H and Allmaier, G and Apweiler, R and Attwood, T and Baumann, M and Benigni, A and Bennett, SE and Bischoff, R and Bongcam-Rudloff, E and Capasso, G and Coon, JJ and D'Haese, P and Dominiczak, AF and Dakna, M and Dihazi, H and Ehrich, JH and Fernandez-Llama, P and Fliser, D and Frokiaer, J and Garin, J and Girolami, M and Hancock, WS and Haubitz, M and Hochstrasser, D and Holman, RR and Ioannidis, JPA and Jankowski, J and Julian, BA and Klein, JB and Kolch, W and Luider, T and Massy, Z and Mattes, WB and Molina, F and Monsarrat, B and Novak, J and Peter, K and Rossing, P and Sánchez-Carbayo, M and Schanstra, JP and Semmes, OJ and Spasovski, G and Theodorescu, D and Thongboonkerd, V and Vanholder, R and Veenstra, TD and Weissinger, E and Yamamoto, T and Vlahou, A (2010) Recommendations for biomarker identification and qualification in clinical proteomics. Science Translational Medicine, 2. ISSN 1946-6234

Xu, TR and Vyshemirsky, V and Gormand, A and Von Kriegsheim, A and Girolami, M and Baillie, GS and Ketley, D and Dunlop, AJ and Milligan, G and Houslay, MD and Kolch, W (2010) Inferring signaling pathway topologies from multiple perturbation measurements of specific biochemical species (Science Signaling (2010) 3, (er8)). Science Signaling, 3. ISSN 1945-0877

Bakker, BM and Krauth-Siegel, RL and Clayton, C and Matthews, K and Girolami, M and Westerhoff, HV and Michels, PAM and Breitling, R and Barrett, MP (2010) The silicon trypanosome. Parasitology, 137. pp. 1333-1341. ISSN 0031-1820

Molina, F and Dehmer, M and Perco, P and Graber, A and Girolami, M and Spasovski, G and Schanstra, JP and Vlahou, A (2010) Systems biology: Opening new avenues in clinical research. Nephrology Dialysis Transplantation, 25. pp. 1015-1018. ISSN 0931-0509

Xu, TR and Vyshemirsky, V and Gormand, A and Von Kriegsheim, A and Girolami, M and Baillie, GS and Ketley, D and Dunlop, AJ and Milligan, G and Houslay, MD and Kolch, W (2010) Inferring signaling pathway topologies from multiple perturbation measurements of specific biochemical species. Science Signaling, 3. ISSN 1945-0877

Xu, T-R and Vyshemirsky, V and Gormand, A and von Kriegsheim, A and Girolami, M and Baillie, GS and Ketley, D and Dunlop, AJ and Milligan, G and Houslay, MD and Kolch, W (2010) Inferring signaling pathway topologies from multiple perturbation measurements of specific biochemical species. Sci Signal, 3. ra20-.

Dakna, M and Harris, K and Kalousis, A and Carpentier, S and Kolch, W and Schanstra, JP and Haubitz, M and Vlahou, A and Mischak, H and Girolami, M (2010) Addressing the Challenge of Defining Valid Proteomic Biomarkers and Classifiers. BMC Bioinformatics, 11.

Hopcroft, LEM and McBride, MW and Harris, KJ and Sampson, AK and McClure, JD and Graham, D and Young, G and Holyoake, TL and Girolami, MA and Dominiczak, AF (2010) Predictive response-relevant clustering of expression data provides insights into disease processes. Nucleic Acids Research, 38. pp. 6831-6840. ISSN 0305-1048

Psorakis, I and Damoulas, T and Girolami, MA (2010) Multiclass relevance vector machines: Sparsity and accuracy. IEEE Transactions on Neural Networks, 21. pp. 1588-1598. ISSN 1045-9227

Rogers, S and Klami, A and Sinkkonen, J and Girolami, M and Kaski, S (2010) Infinite factorization of multiple non-parametric views. Machine Learning, 79. pp. 201-226. ISSN 0885-6125

Good, DM and Zürbig, P and Argilés, A and Bauer, HW and Behrens, G and Coon, JJ and Dakna, M and Decramer, S and Delles, C and Dominiczak, AF and Ehrich, JHH and Eitner, F and Fliser, D and Frommberger, M and Ganser, A and Girolami, MA and Golovko, I and Gwinner, W and Haubitz, M and Herget-Rosenthal, S and Jankowski, J and Jahn, H and Jerums, G and Julian, BA and Kellmann, M and Kliem, V and Kolch, W and Krolewski, AS and Luppi, M and Massy, Z and Melter, M and Neusüss, C and Novak, J and Peter, K and Rossing, K and Rupprecht, H and Schanstra, JP and Schiffer, E and Stolzenburg, JU and Tarnow, L and Theodorescu, D and Thongboonkerd, V and Vanholder, R and Weissinger, EM and Mischak, H and Schmitt-Kopplinr, P (2010) Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease. Molecular and Cellular Proteomics, 9. pp. 2424-2437. ISSN 1535-9476

Dominiczak, AF and Herget-Rosenthal, S and Delles, C and Fliser, D and Fournier, I and Graber, A and Girolami, M and Holmes, E and Lang, F and Molina, F and Nicholson, J and Remuzzi, G and Rossing, P and Rudolph, KL and Wolkenhauer, O and Xenarios, I and Zubarev, R and Zubov, D and Vlahou, A and Schanstra, JP (2010) Systems biology to battle vascular disease. Nephrology Dialysis Transplantation, 25. pp. 1019-1022. ISSN 0931-0509

Rogers, S and Girolami, MA and Polajnar, T (2010) Semi-parametric analysis of multi-rater data. Stat. Comput., 20. pp. 317-334.

Rogers, S and Scheltema, RA and Girolami, M and Breitling, R (2009) Probabilistic assignment of formulas to mass peaks in metabolomics experiments. Bioinformatics, 25. pp. 512-518. ISSN 1367-4803

Damoulas, T and Girolami, MA (2009) Combining feature spaces for classification. Pattern Recognition, 42. pp. 2671-2683. ISSN 0031-3203

Calderhead, B and Girolami, M (2009) Estimating Bayes factors via thermodynamic integration and population MCMC. Computational Statistics and Data Analysis, 53. pp. 4028-4045. ISSN 0167-9473

Damoulas, T and Girolami, MA (2009) Pattern recognition with a Bayesian kernel combination machine. Pattern Recognition Letters, 30. pp. 46-54. ISSN 0167-8655

Vyshemirsky, V and Girolami, M (2008) BioBayes: A software package for Bayesian inference in systems biology. Bioinformatics, 24. pp. 1933-1934. ISSN 1367-4803

Waddell, N and Ten Haaf, A and Marsh, A and Johnson, J and Walker, LC and Gongora, M and Brown, M and Grover, P and Girolami, M and Grimmond, S and Chenevix-Trench, G and Spurdle, AB (2008) BRCA1 and BRCA2 missense variants of high and low clinical significance influence lymphoblastoid cell line post-irradiation gene expression. PLoS Genetics, 4. ISSN 1553-7390

Damoulas, T and Girolami, MA (2008) Probabilistic multi-class multi-kernel learning: On protein fold recognition and remote homology detection. Bioinformatics, 24. pp. 1264-1270. ISSN 1367-4803

Overton, IM and Padovani, G and Girolami, MA and Barton, GJ (2008) ParCrys: A Parzen window density estimation approach to protein crystallization propensity prediction. Bioinformatics, 24. pp. 901-907. ISSN 1367-4803

Vyshemirsky, V and Girolami, MA (2008) Bayesian ranking of biochemical system models. Bioinformatics, 24. pp. 833-839. ISSN 1367-4803

Zhong, M and Lotte, F and Girolami, M and Lécuyer, A (2008) Classifying EEG for brain computer interfaces using Gaussian processes. Pattern Recognition Letters, 29. pp. 354-359. ISSN 0167-8655

Rogers, S and Girolami, M and Kolch, W and Waters, KM and Liu, T and Thrall, B and Wiley, SH (2008) Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models. Bioinformatics, 24. pp. 2894-2900. ISSN 1367-4803

Girolami, M (2008) Bayesian inference for differential equations. Theoretical Computer Science, 408. pp. 4-16. ISSN 0304-3975

Vyshemirsky, V and Girolami, MA (2008) Erratum: Bayesian ranking of biochemical system models (Bioinformatics (2008) vol. 24(6) (833-839)). Bioinformatics, 24. 2421-. ISSN 1367-4803

Lama, N and Girolami, M (2008) vbmp: Variational Bayesian Multinomial Probit Regression for multi-class classification in R. Bioinformatics, 24. pp. 135-136. ISSN 1367-4803

Rogers, S and Khanin, R and Girolami, M (2007) Bayesian model-based inference of transcription factor activity. BMC Bioinformatics, 8.

Fliser, D and Novak, J and Thongboonkerd, V and Argiles, A and Jankowski, V and Girolami, MA and Jankowski, J and Mischak, H (2007) Advances in urinary proteome analysis and biomarker discovery. Journal of the American Society of Nephrology, 18. pp. 1057-1071. ISSN 1046-6673

Mischak, H and Apweiler, R and Banks, RE and Conaway, M and Coon, J and Dominiczak, A and Ehrich, JHH and Fliser, D and Girolami, M and Hermjakob, H and Hochstrasser, D and Jankowski, J and Julian, BA and Kolch, W and Massy, ZA and Neusuess, C and Novak, J and Peter, K and Rossing, K and Schanstra, J and Semmes, OJ and Theodorescu, D and Thongboonkerd, V and Weissinger, EM and Van Eyk, JE and Yamamoto, T (2007) Clinical proteomics: A need to define the field and to begin to set adequate standards. Proteomics - Clinical Applications, 1. pp. 148-156. ISSN 1862-8346

Xing, D and Girolami, M (2007) Employing Latent Dirichlet Allocation for fraud detection in telecommunications. Pattern Recognition Letters, 28. pp. 1727-1734. ISSN 0167-8655

Manocha, S and Girolami, MA (2007) An empirical analysis of the probabilistic K-nearest neighbour classifier. Pattern Recognition Letters, 28. pp. 1818-1824. ISSN 0167-8655

Girolami, M and Rogers, S (2006) Variational Bayesian multinomial probit regression with gaussian process priors. Neural Computation, 18. pp. 1790-1817. ISSN 0899-7667

Kote-Jarai, Z and Matthews, L and Osorio, A and Shanley, S and Giddings, I and Moreews, F and Locke, I and Evans, DG and Eccles, D and Williams, RD and Girolami, M and Campbell, C and Eeles, R (2006) Accurate prediction of BRCA1 and BRCA2 heterozygous genotype using expression profiling after induced DNA damage. Clinical Cancer Research, 12. pp. 3896-3901. ISSN 1078-0432

Carrivick, L and Rogers, S and Clark, J and Campbell, C and Girolami, M and Cooper, C (2006) Identification of prognostic signatures in breast cancer microarray data using Bayesian techniques. Journal of the Royal Society Interface, 3. pp. 367-381. ISSN 1742-5689

Girolami, M and Mischak, H and Krebs, R (2006) Analysis of complex, multidimensional datasets. Drug Discovery Today: Technologies, 3. pp. 13-19. ISSN 1740-6749

Szymkowiak-Have, A and Girolami, MA and Larsen, J (2006) Clustering via kernel decomposition. IEEE Transactions on Neural Networks, 17. pp. 256-264. ISSN 1045-9227

Rogers, S and Girolami, M (2005) A Bayesian regression approach to the inference of regulatory networks from gene expression data. Bioinformatics, 21. pp. 3131-3137. ISSN 1367-4803

Girolami, M and Kabán, A (2005) Sequential activity profiling: Latent dirichlet allocation of Markov chains. Data Mining and Knowledge Discovery, 10. pp. 175-196. ISSN 1384-5810

Rogers, S and Girolami, M and Campbell, C and Breitling, R (2005) The latent process decomposition of cDNA microarray data sets. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2. pp. 143-156. ISSN 1545-5963

He, C and Girolami, M (2004) Novelty detection employing an L<inf>2</inf> optimal non-parametric density estimator. Pattern Recognition Letters, 25. pp. 1389-1397. ISSN 0167-8655

He, C and Girolami, M and Ross, G (2004) Employing optimized combinations of one-class classifiers for automated currency validation. Pattern Recognition, 37. pp. 1085-1096. ISSN 0031-3203

Girolami, M and Breitling, R (2004) Biologically valid linear factor models of gene expressions. Bioinformatics, 20. pp. 3021-3033. ISSN 1367-4803

Bingham, E and Kabán, A and Girolami, M (2003) Topic identification in dynamical text by complexity pursuit. Neural Processing Letters, 17. pp. 69-83. ISSN 1370-4621

Mark, G and Schuchmann, H-P and Schuchmann, MN and Prager, L and von Sonntag, C (2003) Electron-beam treatment of aromatic hydrocarbons that can be air-stripped from contaminated groundwater. 1. Model studies in aqueous solution. Environ Sci Technol, 37. pp. 372-378. ISSN 0013-936X

Prager, L and Mark, G and Mätzing, H and Paur, H-R and Schubert, J and Frimmel, FH and Hesse, S and Schuchmann, H-P and Schuchmann, MN and von Sonntag, C (2003) Electron-beam treatment of aromatic hydrocarbons that can be air-stripped from contaminated groundwater. 2. Gas-phase studies. Environ Sci Technol, 37. pp. 379-385. ISSN 0013-936X

Girolami, M and He, C (2003) Probability density estimation from optimally condensed data samples. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25. pp. 1253-1264. ISSN 0162-8828

Maira-Litrán, T and Kropec, A and Abeygunawardana, C and Joyce, J and Mark, G and Goldmann, DA and Pier, GB (2002) Immunochemical properties of the staphylococcal poly-N-acetylglucosamine surface polysaccharide. Infect Immun, 70. pp. 4433-4440. ISSN 0019-9567

Girolami, M (2002) Mercer kernel-based clustering in feature space. IEEE Transactions on Neural Networks, 13. pp. 780-784. ISSN 1045-9227

Girolami, M (2002) Orthogonal series density estimation and the kernel eigenvalue problem. Neural Computation, 14. pp. 669-688. ISSN 0899-7667

Kabán, A and Girolami, MA (2002) A dynamic probabilistic model to visualise topic evolution in text streams. Journal of Intelligent Information Systems, 18. pp. 107-125. ISSN 0925-9902

Vinokourov, A and Girolami, M (2002) A probabilistic framework for the hierarchic organisation and classification of document collections. Journal of Intelligent Information Systems, 18. pp. 153-172. ISSN 0925-9902

Kabán, A and Girolami, MA (2002) Fast extraction of semantic features from a latent semantic indexed text corpus. Neural Processing Letters, 15. pp. 31-43. ISSN 1370-4621

Jackson, KB and Mark, G and Helms, J and Mueller, J and Behr, R (2002) An auditory brainstem implant system. Am J Audiol, 11. pp. 128-133. ISSN 1059-0889

Becker, G and Müller, A and Braune, S and Büttner, T and Benecke, R and Greulich, W and Klein, W and Mark, G and Rieke, J and Thümler, R (2002) Early diagnosis of Parkinson's disease. J Neurol, 249 Su. III/40-III/48. ISSN 0340-5354

Girolami, M (2002) Latent variable models for the topographic organisation of discrete and strictly positive data. Neurocomputing, 48. pp. 185-198. ISSN 0925-2312

Marchetti, PG and Bartolozzi, P and Binazzi, R and Vaccari, V and Girolami, M and Impallomeni, C and Morici, F and Bevoni, R (2002) Preoperative reduction of spondylolisthesis. La Chirurgia degli organi di movimento, 87. pp. 203-215. ISSN 0009-4749

Chan, TW and Mark, G and Huynh, H (2001) Induction of mammary epithelial cell differentiation and inhibition of dimethylbenz(A)anthracene-induced mammary tumour by co-administration of a pure antiestrogen ICI 182,780 and testosterone enanthate. Int J Oncol, 19. pp. 263-269. ISSN 1019-6439

Kabán, A and Girolami, M (2001) A combined latent class and trait model for the analysis and visualization of discrete data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23. pp. 859-872. ISSN 0162-8828

Bianco, V and Di Girolamo, B and Pignatelli, E and Speranza, I and Florio, G and Gemma, D and Girolami, M and Vietri, F and Marchei, P (2001) Gemcitabine as single agent therapy in advanced non small cell lung cancer and quality of life in the elderly. Panminerva Medica, 43. pp. 15-19. ISSN 0031-0808

Rosipal, R and Girolami, M (2001) An expectation-maximization approach to nonlinear component analysis. Neural Computation, 13. pp. 505-510. ISSN 0899-7667

Walliser, M and Beer, S and Mark, G (2001) [Anterior interosseous nerve syndrome as differential diagnosis of closed isolated flexor tendon lesion]. Swiss Surg, 7. pp. 218-221. ISSN 1023-9332

Girolami, M (2001) The topographic organization and visualization of binary data using multivariate-Bernoulli latent variable models. IEEE Transactions on Neural Networks, 12. pp. 1367-1374. ISSN 1045-9227

Girolami, M (2001) A variational method for learning sparse and overcomplete representations. Neural Computation, 13. pp. 2517-2532. ISSN 0899-7667

Rosahl, SK and Mark, G and Herzog, M and Pantazis, C and Gharabaghi, F and Matthies, C and Brinker, T and Samii, M (2001) Far-field responses to stimulation of the cochlear nucleus by microsurgically placed penetrating and surface electrodes in the cat. Journal of Neurosurgery, 95. pp. 845-852. ISSN 0022-3085

Rosipal, R and Girolami, M and Trejo, LJ and Cichocki, A (2001) Kernel PCA for feature extraction and de-noising in nonlinear regression. Neural Computing and Applications, 10. pp. 231-243. ISSN 0941-0643

Reichmann, H and Sommer, U and Fuchs, G and Hefter, H and Mark, G and Müller, T and Thümler, R and Ulm, G and Vieregge, P (2000) Workshop IV: drug treatment guidelines for the long-term management of Parkinson's disease. J Neurol, 247 Su. IV/40-IV/41. ISSN 0340-5354

Lee, TW and Girolami, M and Bell, AJ and Sejnowski, TJ (2000) A unifying information-theoretic framework for independent component analysis. Computers and Mathematics with Applications, 39. pp. 1-21. ISSN 0898-1221

Palumbo, P and Piermattei, MA and Gargiulo, A and Girolami, M and Lavalle, G and Vietri, F (2000) The diagnostic activity within the compass of a day hospital surgical unit: a proposed organizational model. Il Giornale di chirurgia, 21. pp. 79-82. ISSN 0391-9005

Soavi, R and Girolami, M and Loreti, I and Bragonzoni, L and Monti, C and Visani, A and Marcacci, M (2000) The mobility of the proximal tibio-fibular joint. A Roentgen stereophotogrammetric analysis on six cadaver specimens. Foot and Ankle International, 21. pp. 336-342. ISSN 1071-1007

Girolami, M and Vinokourov, A and Kabán, A (2000) The organisation and visualisation of document corpora: A probabilistic approach. Proceedings - International Workshop on Database and Expert Systems Applications, DEXA, 2000-J. pp. 558-564. ISSN 1529-4188

Liang, X and Munshi, S and Shendure, J and Mark, G and Davies, ME and Freed, DC and Montefiori, DC and Shiver, JW (1999) Epitope insertion into variable loops of HIV-1 gp120 as a potential means to improve immunogenicity of viral envelope protein. Vaccine, 17. pp. 2862-2872. ISSN 0264-410X

Lee, TW and Lewicki, MS and Girolami, M and Sejnowski, TJ (1999) Blind source separation of more sources than mixtures using overcomplete representations. IEEE Signal Processing Letters, 6. pp. 87-90. ISSN 1070-9908

Lee, TW and Girolami, M and Sejnowski, TJ (1999) Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources. Neural Computation, 11. pp. 417-441. ISSN 0899-7667

Girolami, M and Cichocki, A and Amari, SI (1998) A common neural-network model for unsupervised exploratory data analysis and independent component analysis. IEEE Transactions on Neural Networks, 9. pp. 1495-1501. ISSN 1045-9227

Girolami, M (1998) A nonlinear model of the binaural cocktail party effect. Neurocomputing, 22. pp. 201-215. ISSN 0925-2312

Girolami, M (1998) An Alternative Perspective on Adaptive Independent Component Analysis Algorithms. Neural Computation, 10. pp. 2103-2114. ISSN 0899-7667

Girolami, M (1998) The Latent Variable Data Model for Exploratory Data Analysis and Visualisation: A Generalisation of the Nonlinear Infomax Algorithm. Neural Processing Letters, 8. pp. 27-39. ISSN 1370-4621

Girolami, M (1997) Symmetric adaptive maximum likelihood estimation for noise cancellation and signal separation. Electronics Letters, 33. pp. 1437-1438. ISSN 0013-5194

Girolami, M and Fyfe, C (1997) An extended exploratory projection pursuit network with linear and nonlinear anti-hebbian lateral connections applied to the cocktail party problem. Neural Networks, 10. pp. 1607-1618. ISSN 0893-6080

Girolami, M and Fyfe, C (1997) Extraction of independent signal sources using a deflationary exploratory projection pursuit network with lateral inhibition. IEE Proceedings: Vision, Image and Signal Processing, 144. pp. 299-306. ISSN 1350-245X

Girolami, M and Fyfe, C (1997) Stochastic ICA contrast maximisation using OJA's nonlinear PCA algorithm. International journal of neural systems, 8. pp. 661-678. ISSN 0129-0657

Girolami, M and Fyfe, C (1996) A temporal model of linear anti-Hebbian learning. Neural Processing Letters, 4. pp. 139-148. ISSN 1370-4621

Cockayne, J and Oates, C and Ipsen, I and Girolami, M A Bayesian Conjugate Gradient Method. (Unpublished)

Moores, M and Gracie, K and Carson, J and Faulds, K and Graham, D and Girolami, M Bayesian modelling and quantification of Raman spectroscopy. (Unpublished)

Li, J and Zhou, MX and Yang, H and Mark, G Confiding in and Listening to Virtual Agents: The Effect of Personality. (Unpublished)

Oates, CJ and Papamarkou, T and Girolami, M The Controlled Thermodynamic Integral for Bayesian Model Comparison. (Unpublished)

Wynne, G and Briol, F-X and Girolami, M Convergence Guarantees for Gaussian Process Means with Misspecified Likelihoods and Smoothness. (Unpublished)

Byrne, S and Girolami, M and Diaconis, P and Seiler, C and Holmes, S and Dryden, IL and Kent, JT and Pereyra, M and Shahbaba, B and Lan, S and Streets, J and Simpson, D Discussion of "Geodesic Monte Carlo on Embedded Manifolds". Scandinavian Journal of Statistics (2014) 41 (1), pages 1-21. (Unpublished)

Oates, CJ and Simpson, D and Girolami, M Discussion of "Sequential Quasi-Monte Carlo" by Mathieu Gerber and Nicolas Chopin. (Unpublished)

Vancsó, P and Márk, GI and Lambin, P and Mayer, A and Hwang, C and Biró, LP Effect of the disorder in graphene grain boundaries: A wave packet dynamics study. (Unpublished)

Incze, PN and Vancsó, P and Osváth, Z and Mark, GI and Jin, X and Kim, YS and Hwang, C and Lambin, P and Chapelier, C and Biró, LP Electronic states of disordered grain boundaries in graphene prepared by chemical vapor deposition. (Unpublished)

Vancsó, P and Márk, GI and Lambin, P and Mayer, A and Kim, Y-S and Hwang, C and Biró, LP Electronic transport through ordered and disordered graphene grain boundaries. (Unpublished)

Betancourt, MJ and Girolami, M Hamiltonian Monte Carlo for Hierarchical Models. (Unpublished)

Barp, A and Kennedy, A and Girolami, M Hamiltonian Monte Carlo on Symmetric and Homogeneous Spaces via Symplectic Reduction. (Unpublished)

Karvonen, T and Oates, CJ and Girolami, M Integration in reproducing kernel Hilbert spaces of Gaussian kernels. (Unpublished)

Choudhury, MD and Monroy-Hernández, A and Mark, G "Narco" Emotions: Affect and Desensitization in Social Media during the Mexican Drug War. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (CHI 2014). ACM, New York, NY, USA, pages 3563-3572. (Unpublished)

Briol, F-X and Oates, CJ and Cockayne, J and Chen, WY and Girolami, M On the Sampling Problem for Kernel Quadrature. PMLR, 70. pp. 586-595. (Unpublished)

Oates, CJ and Cockayne, J and Prangle, D and Sullivan, TJ and Girolami, M Optimality Criteria for Probabilistic Numerical Methods. Radon Series on Computational and Applied Mathematics, 27. pp. 65-88. (Unpublished)

Betancourt, MJ and Byrne, S and Girolami, M Optimizing The Integrator Step Size for Hamiltonian Monte Carlo. (Unpublished)

Oates, CJ and Barp, A and Girolami, M Posterior Integration on a Riemannian Manifold. (Unpublished)

Cockayne, J and Oates, C and Sullivan, T and Girolami, M Probabilistic Numerical Methods for Partial Differential Equations and Bayesian Inverse Problems. (Unpublished)

Conrad, PR and Girolami, M and Särkkä, S and Stuart, A and Zygalakis, K Probability Measures for Numerical Solutions of Differential Equations. (Unpublished)

Barp, A and Oates, CJ and Porcu, E and Girolami, M A Riemann-Stein Kernel Method. (Unpublished)

Girolami, M and Calderhead, B and Chin, SA Riemannian Manifold Hamiltonian Monte Carlo. (Unpublished)

South, LF and Karvonen, T and Nemeth, C and Girolami, M and Oates, CJ Semi-Exact Control Functionals From Sard's Method. (Unpublished)

Andrieu, C and Barthelme, S and Chopin, N and Cornebise, J and Doucet, A and Girolami, M and Kosmidis, I and Jasra, A and Lee, A and Marin, J-M and Pudlo, P and Robert, CP and Sedki, M and Singh, SS Some discussions of D. Fearnhead and D. Prangle's Read Paper "Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation". (Unpublished)

Briol, F-X and Barp, A and Duncan, AB and Girolami, M Statistical Inference for Generative Models with Maximum Mean Discrepancy. (Unpublished)

Xiao, Z and Zhou, MX and Liao, QV and Mark, G and Chi, C and Chen, W and Yang, H Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys with Open-ended Questions. (Unpublished)

Strathmann, H and Sejdinovic, D and Girolami, M Unbiased Bayes for Big Data: Paths of Partial Posteriors. (Unpublished)

Carson, J and Pollock, M and Girolami, M Unbiased local solutions of partial differential equations via the Feynman-Kac Identities. (Unpublished)

Scillitoe, A and Seshadri, P and Girolami, M Uncertainty Quantification for Data-driven Turbulence Modelling with Mondrian Forests. (Unpublished)

Book

Stumpf, MPH and Balding, DJ and Girolami, M (2011) Handbook of Statistical Systems Biology. UNSPECIFIED, pp. 1-508.

Honkela, T and Duch, W and Girolami, M and Kaski, S (2011) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface. UNSPECIFIED.

Rogers, S and Girolami, M (2011) A first course in machine learning. UNSPECIFIED, pp. 1-284.

Girolami, M and Kadirkamanathan, V and Niranjan, M and Noirel, J and Sanguinetti, G (2009) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface. UNSPECIFIED.

Book Section

Hopcroft, LEM and Calderhead, B and Gallipoli, P and Holyoake, TL and Girolami, MA (2015) Bayesian inference for model selection: An application to aberrant signalling pathways in chronic myeloid leukaemia. In: Systems Genetics: Linking Genotypes and Phenotypes. UNSPECIFIED, pp. 161-190.

Achcar, F and Fadda, A and Haanstra, JR and Kerkhoven, EJ and Kim, DH and Leroux, AE and Papamarkou, T and Rojas, F and Bakker, BM and Barrett, MP and Clayton, C and Girolami, M and Krauth-Siegel, RL and Matthews, KR and Breitling, R (2014) The Silicon Trypanosome. A Test Case of Iterative Model Extension in Systems Biology. In: Advances in Microbial Physiology. UNSPECIFIED, pp. 115-143.

Calderhead, B and Epstein, M and Sivilotti, L and Girolami, M (2013) Bayesian approaches for mechanistic ion channel modeling. In: UNSPECIFIED UNSPECIFIED, pp. 247-272.

Paredes, R and Girolami, M (2011) On the use of diagonal and class-dependent weighted distances for the probabilistic k-nearest neighbor. In: UNSPECIFIED UNSPECIFIED, pp. 265-272.

Stathopoulos, V and Girolami, M (2011) Manifold MCMC for mixtures. In: Mixtures: Estimation and Applications. UNSPECIFIED, pp. 255-276.

Ying, Y and Campbell, C and Damoulas, T and Girolami, M (2009) Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm. In: UNSPECIFIED UNSPECIFIED, pp. 427-438.

Harris, K and Girolami, M and Mischak, H (2009) Definition of valid proteomic biomarkers: A bayesian solution. In: UNSPECIFIED UNSPECIFIED, pp. 137-149.

Harris, K and McMillan, L and Girolami, M (2009) Inferring meta-covariates in classification. In: UNSPECIFIED UNSPECIFIED, pp. 150-161.

Rogers, S and Girolami, M and Krebs, R and Mischak, H (2005) Disease classification from capillary electrophoresis: Mass spectrometry. In: UNSPECIFIED UNSPECIFIED, pp. 183-191.

Al-Shahib, A and He, C and Tan, AC and Girolami, M and Gilbert, D (2004) An assessment of feature relevance in predicting protein function from sequence. In: UNSPECIFIED UNSPECIFIED, pp. 52-57.

Campbell, DR and Fyfe, C and Girolami, M (2002) Artificial intelligence systems techniques and applications in speech processing. In: Intelligent Systems: Technology and Applications, Six Volume Set. UNSPECIFIED, III-1-III-48-.

Conference or Workshop Item

Virtanen, S and Girolami, M (2019) Precision-recall balanced topic modelling. In: UNSPECIFIED.

Chen, WY and Barp, A and Briol, FX and Gorham, J and Girolami, M and Mackey, L and Oates, CJ (2019) Stein point Markov chain Monte Carlo. In: UNSPECIFIED pp. 1737-1767..

Ye, C and Butler, L and Calka, B and Iangurazov, M and Lu, Q and Gregory, A and Girolami, M and Middleton, C (2019) A digital twin of bridges for structural health monitoring. In: UNSPECIFIED pp. 1619-1626..

Xi, X and Briol, FX and Girolami, M (2018) Bayesian quadrature for multiple related integrals. In: UNSPECIFIED pp. 8533-8564..

Mendoza, A and Roininen, L and Girolami, M and Heikkinen, J and Haario, H (2018) Statistical methods to enable practical on-site tomographic imaging of whole-core samples. In: UNSPECIFIED.

Cockayne, J and Oates, C and Sullivan, T and Girolami, M (2017) Probabilistic numerical methods for PDE-constrained Bayesian inverse problems. In: UNSPECIFIED.

Briol, FX and Oates, CJ and Cockayne, J and Chen, WY and Girolami, M (2017) On the sampling problem for Kernel quadrature. In: UNSPECIFIED pp. 949-968..

Oates, CJ and Niederer, S and Lee, A and Briol, FX and Girolami, M (2017) Probabilistic models for integration error in the assessment of functional cardiac models. In: UNSPECIFIED pp. 110-118..

Oates, CJ and Girolami, M (2016) Control functionals for quasi-monte carlo integration. In: UNSPECIFIED pp. 56-65..

Briol, FX and Oates, CJ and Girolami, M and Osborne, MA (2015) Frank-Wolfe Bayesian quadrature: Probabilistic integration with theoretical guarantees. In: UNSPECIFIED pp. 1162-1170..

Virtanen, S and Girolami, M (2015) Ordinal mixed membership models. In: UNSPECIFIED pp. 588-596..

Stathopoulos, V and Zamora-Gutierrez, V and Jones, KE and Girolami, M (2014) Bat call identification with Gaussian process multinomial probit regression and a dynamic time warping kernel. In: UNSPECIFIED pp. 913-921..

Andrei, O and Calder, M and Higgs, M and Girolami, M (2014) Probabilistic model checking of DTMC Models of user activity patterns. In: UNSPECIFIED pp. 138-153..

Aodha, OM and Stathopoulos, V and Brostow, GJ and Terry, M and Girolami, M and Jones, KE (2014) Putting the Scientist in the Loop - Accelerating Scientific Progress with Interactive Machine Learning. In: UNSPECIFIED pp. 9-17..

Higgs, M and Morrison, A and Girolami, M and Chalmers, M (2013) Analysing User Behaviour Through Dynamic Population Models. In: UNSPECIFIED pp. 271-276..

Hopcroft, LEM and Pellicano, F and Aspinall-O'Dea, M and Girolami, MA and Whetton, AD and Holyoake, TL (2012) Identification of the key survival pathways underlying CML stem cell resistance to TKIs. In: UNSPECIFIED p. 2..

Zhong, M and Girolami, M (2012) A Bayesian approach to approximate joint diagonalization of square matrices. In: UNSPECIFIED pp. 647-654..

Lawrence, N and Girolami, M (2012) Preface. In: UNSPECIFIED.

Lehrach, H and Subrak, R and Boyle, P and Pasterk, M and Zatloukal, K and Müller, H and Hubbard, T and Brand, A and Girolami, M and Jameson, D and Bruggeman, FJ and Westerhoff, HV (2011) ITFoM - The IT future of medicine. In: UNSPECIFIED pp. 26-29..

McBride, M and Hopcroft, L and Harris, K and McClure, JD and Graham, D and Girolami, MA and Dominiczak, AF (2010) INSIGHTS INTO SALT-SENSITIVE HYPERTENSION USING RESPONSE-RELEVANT CLUSTERING. In: UNSPECIFIED E342-E342..

Mohamed, L and Calderhead, B and Filippone, M and Christie, M and Girolami, M (2010) Population MCMC methods for history matching and uncertainty quantification. In: UNSPECIFIED.

Girolami, M (2009) Reversible Jump MCMC for Non-Negative matrix factorization with application to Raman spectral decomposition. In: UNSPECIFIED.

Calderhead, B and Girolami, M and Lawrence, ND (2009) Accelerating Bayesian inference over nonlinear differential equations with Gaussian processes. In: UNSPECIFIED pp. 217-224..

Ying, Y and Campbell, C and Girolami, M (2009) Analysis of SVM with indefinite kernels. In: UNSPECIFIED pp. 2205-2213..

Zhong, M and Girolami, M (2009) Reversible jump MCMC for non-negative matrix factorization. In: UNSPECIFIED pp. 663-670..

Polajnar, T and Rogers, S and Girolami, MA (2009) Classification of Protein Interaction Sentences via Gaussian Processes. In: UNSPECIFIED pp. 282-292..

Polajnar, T and Girolami, MA (2009) Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics. In: UNSPECIFIED pp. 270-281..

Daly, R and Edwards, KD and O'Neill, JS and Aitken, S and Millar, AJ and Girolami, M (2009) Using Higher-Order Dynamic Bayesian Networks to Model Periodic Data from the Circadian Clock of Arabidopsis Thaliana. In: UNSPECIFIED pp. 67-78..

Damoulas, T and Ying, Y and Girolami, MA and Campbell, C (2008) Inferring sparse kernel combinations and relevance vectors: An application to subcellular localization of proteins. In: UNSPECIFIED pp. 577-582..

Girolami, M and Zhong, M (2007) Data integration for classification problems employing Gaussian process priors. In: UNSPECIFIED pp. 465-472..

Sharma, O and Girolami, M and Sventek, J (2007) Detecting worm variants using machine learning. In: UNSPECIFIED.

Jenssen, R and Eltoft, T and Girolami, M and Erdogmus, D (2007) Kernel maximum entropy data transformation and an enhanced spectral clustering algorithm. In: UNSPECIFIED pp. 633-640..

Cawley, GC and Talbot, NLC and Girolami, M (2007) Sparse multinomial logistic regression via Bayesian L1 regularisation. In: UNSPECIFIED pp. 209-216..

Girolami, M and Rogers, S (2005) Hierarchic bayesian models for kernel learning. In: UNSPECIFIED pp. 241-248..

Azzopardi, L and Girolami, M and Crowe, M (2005) Probabilistic hyperspace analogue to language. In: UNSPECIFIED pp. 575-576..

Girolami, M (2004) Statistical and probabilistic fundamentals of ICA. In: UNSPECIFIED 3-..

Azzopardi, L and Girolami, M and Van Rijsbergen, CJ (2004) Topic based language models for ad hoc Information Retrieval. In: UNSPECIFIED pp. 3281-3286..

Azzopardi, L and Girolami, M and Van Rijsbergen, CJ (2004) User biased document language modelling. In: UNSPECIFIED pp. 542-543..

Girolami, M and Kabán, A (2004) Simplicial mixtures of markov chains: Distributed modelling of dynamic user profiles. In: UNSPECIFIED.

Azzopardi, L and Girolami, M and Van Risjbergen, K (2003) Investigating the Relationship between Language Model Perplexity and IR Precision-Recall Measures. In: UNSPECIFIED pp. 369-370..

Girolami, M and Kabán, A (2003) On an Equivalence between PLSI and LDA. In: UNSPECIFIED pp. 433-434..

Crestani, F and Girolami, M and Van Rijsbergen, K (2002) Report on the 24th European Colloquium on information retrieval research (ECIR 2002). In: UNSPECIFIED pp. 77-80..

Crestani, F and Girolami, M and van Rijsbergen, K (2002) Preface. In: UNSPECIFIED V-VI..

Kabán, A and Tiňo, P and Girolami, M (2002) A general framework for a principled hierarchical visualization of multivariate data. In: UNSPECIFIED pp. 518-523..

Kabán, A and Girolami, M (2000) Initialized and guided EM-clustering of sparse binary data with application to text based documents. In: UNSPECIFIED pp. 744-747..

Vinokourov, A and Girolami, M (2000) A probabilistic hierarchical clustering method for organising collections of text documents. In: UNSPECIFIED pp. 182-185..

Rosipal, R and Girolami, M (1999) Adaptive support vector regression filter: A signal detection application. In: UNSPECIFIED pp. 603-607..

Girolami, M (1998) Noise reduction and speech enhancement via temporal anti-Hebbian learning. In: UNSPECIFIED pp. 1233-1236..

Girolami, M and Fyfe, C (1997) Generalised independent component analysis through unsupervised learning with emergent bussgang properties. In: UNSPECIFIED pp. 1788-1791..

Girolami, M and Fyfe, C (1997) Kurtosis extrema and identification of independent components: A neural network approach. In: UNSPECIFIED pp. 3329-3332..

Girolami, MA and Blaikie, J (1995) Chasing microns in an unconstrained manufacturing environment. In: UNSPECIFIED.

This list was generated on Tue Nov 24 05:53:54 2020 GMT.