Department of Engineering

Professor Mark Girolami - Publications

Number of items: 37.

Article

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

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

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

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

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

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-.

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

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

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-.

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

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

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. Nephrol Dial Transplant, 25. pp. 1019-1022.

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

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

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

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

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

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

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

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

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

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

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

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

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.

Conference or Workshop Item

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..

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..

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

This list was generated on Sat Nov 16 01:40:22 2019 GMT.