Mark A. Girolami

Mark Girolami

	2009
72		Visakan Kadirkamanathan, Guido Sanguinetti, Mark A. Girolami, Mahesan Niranjan, Josselin Noirel: Pattern Recognition in Bioinformatics, 4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009. Proceedings Springer 2009
71		Keith Harris, Mark A. Girolami, Harald Mischak: Definition of Valid Proteomic Biomarkers: A Bayesian Solution. PRIB 2009: 137-149
70		Keith Harris, Lisa McMillan, Mark A. Girolami: Inferring Meta-covariates in Classification. PRIB 2009: 150-161
69		Tamara Polajnar, Mark A. Girolami: Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics. PRIB 2009: 270-281
68		Tamara Polajnar, Simon Rogers, Mark A. Girolami: Classification of Protein Interaction Sentences via Gaussian Processes. PRIB 2009: 282-292
67		Yiming Ying, Colin Campbell, Theodoros Damoulas, Mark A. Girolami: Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm. PRIB 2009: 427-438
66		Rónán Daly, Kieron D. Edwards, John S. O'Neill, J. Stuart Aitken, Andrew J. Millar, Mark A. Girolami: Using Higher-Order Dynamic Bayesian Networks to Model Periodic Data from the Circadian Clock of Arabidopsis Thaliana. PRIB 2009: 67-78
65		Simon Rogers, Richard A. Scheltema, Mark A. Girolami, Rainer Breitling: Probabilistic assignment of formulas to mass peaks in metabolomics experiments. Bioinformatics 25(4): 512-518 (2009)
64		Theodoros Damoulas, Mark A. Girolami: Combining feature spaces for classification. Pattern Recognition 42(11): 2671-2683 (2009)
63		Theodoros Damoulas, Mark A. Girolami: Pattern recognition with a Bayesian kernel combination machine. Pattern Recognition Letters 30(1): 46-54 (2009)
	2008
62		Ben Calderhead, Mark Girolami, Neil D. Lawrence: Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes. NIPS 2008: 217-224
61		Nicola Lama, Mark Girolami: vbmp: Variational Bayesian Multinomial Probit Regression for multi-class classification in R. Bioinformatics 24(1): 135-136 (2008)
60		Theodoros Damoulas, Mark A. Girolami: Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection. Bioinformatics 24(10): 1264-1270 (2008)
59		Vladislav Vyshemirsky, Mark Girolami: BioBayes: A software package for Bayesian inference in systems biology. Bioinformatics 24(17): 1933-1934 (2008)
58		Vladislav Vyshemirsky, Mark A. Girolami: Bayesian ranking of biochemical system models. Bioinformatics 24(20): 2421 (2008)
57		Simon Rogers, Mark A. Girolami, Walter Kolch, Katrina M. Waters, Tao Liu, Brian Thrall, H. Steven Wiley: Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models. Bioinformatics 24(24): 2894-2900 (2008)
56		Vladislav Vyshemirsky, Mark Girolami: Bayesian ranking of biochemical system models. Bioinformatics 24(6): 833-839 (2008)
55		Ian M. Overton, Gianandrea Padovani, Mark A. Girolami, Geoffrey J. Barton: ParCrys: a Parzen window density estimation approach to protein crystallization propensity prediction. Bioinformatics 24(7): 901-907 (2008)
54		Mingjun Zhong, Fabien Lotte, Mark A. Girolami, Anatole Lécuyer: Classifying EEG for brain computer interfaces using Gaussian processes. Pattern Recognition Letters 29(3): 354-359 (2008)
53		Mark Girolami: Bayesian inference for differential equations. Theor. Comput. Sci. 408(1): 4-16 (2008)
	2007
52		Oliver Sharma, Mark Girolami, Joseph S. Sventek: Detecting worm variants using machine learning. CoNEXT 2007: 2
51		Simon Rogers, Raya Khanin, Mark Girolami: Bayesian model-based inference of transcription factor activity. BMC Bioinformatics 8(S-2): (2007)
50		Dongshan Xing, Mark Girolami: Employing Latent Dirichlet Allocation for fraud detection in telecommunications. Pattern Recognition Letters 28(13): 1727-1734 (2007)
49		S. Manocha, Mark Girolami: An empirical analysis of the probabilistic K-nearest neighbour classifier. Pattern Recognition Letters 28(13): 1818-1824 (2007)
	2006
48		Gavin C. Cawley, Nicola L. C. Talbot, Mark Girolami: Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation. NIPS 2006: 209-216
47		Mark Girolami, Mingjun Zhong: Data Integration for Classification Problems Employing Gaussian Process Priors. NIPS 2006: 465-472
46		Robert Jenssen, Torbjørn Eltoft, Mark Girolami, Deniz Erdogmus: Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm. NIPS 2006: 633-640
45		Anna Szymkowiak-Have, Mark Girolami, Jan Larsen: Clustering via kernel decomposition. IEEE Transactions on Neural Networks 17(1): 256-264 (2006)
44		Mark Girolami, Simon Rogers: Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors. Neural Computation 18(8): 1790-1817 (2006)
	2005
43		Simon Rogers, Mark Girolami, Ronald Krebs, Harald Mischak: Disease Classification from Capillary Electrophoresis: Mass Spectrometry. ICAPR (1) 2005: 183-191
42		Mark Girolami, Simon Rogers: Hierarchic Bayesian models for kernel learning. ICML 2005: 241-248
41		Leif Azzopardi, Mark Girolami, Malcolm Crowe: Probabilistic hyperspace analogue to language. SIGIR 2005: 575-576
40		Simon Rogers, Mark Girolami: A Bayesian regression approach to the inference of regulatory networks from gene expression data. Bioinformatics 21(14): 3131-3137 (2005)
39		Mark Girolami, Ata Kabán: Sequential Activity Profiling: Latent Dirichlet Allocation of Markov Chains. Data Min. Knowl. Discov. 10(3): 175-196 (2005)
38		Simon Rogers, Mark Girolami, Colin Campbell, Rainer Breitling: The Latent Process Decomposition of cDNA Microarray Data Sets. IEEE/ACM Trans. Comput. Biology Bioinform. 2(2): 143-156 (2005)
	2004
37		Ali Al-Shahib, Chao He, Aik Choon Tan, Mark Girolami, David Gilbert: An Assessment of Feature Relevance in Predicting Protein Function from Sequence. IDEAL 2004: 52-57
36		Leif Azzopardi, Mark Girolami, Cornelis Joost van Rijsbergen: User biased document language modelling. SIGIR 2004: 542-543
35		Mark Girolami, Rainer Breitling: Biologically valid linear factor models of gene expression. Bioinformatics 20(17): 3021-3033 (2004)
34		Chao He, Mark Girolami, Gary Ross: Employing optimized combinations of one-class classifiers for automated currency validation. Pattern Recognition 37(6): 1085-1096 (2004)
33		Chao He, Mark Girolami: Novelty detection employing an L2 optimal non-parametric density estimator. Pattern Recognition Letters 25(12): 1389-1397 (2004)
	2003
32		Mark Girolami, Ata Kabán: Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles. NIPS 2003
31		Leif Azzopardi, Mark Girolami, Keith van Rijsbergen: Investigating the relationship between language model perplexity and IR precision-recall measures. SIGIR 2003: 369-370
30		Mark Girolami, Ata Kabán: On an equivalence between PLSI and LDA. SIGIR 2003: 433-434
29		Mark Girolami, Chao He: Probability Density Estimation from Optimally Condensed Data Samples. IEEE Trans. Pattern Anal. Mach. Intell. 25(10): 1253-1264 (2003)
28		Ella Bingham, Ata Kabán, Mark Girolami: Topic Identification in Dynamical Text by Complexity Pursuit. Neural Processing Letters 17(1): 69-83 (2003)
	2002
27		Fabio Crestani, Mark Girolami, C. J. van Rijsbergen: Advances in Information Retrieval, 24th BCS-IRSG European Colloquium on IR Research Glasgow, UK, March 25-27, 2002 Proceedings Springer 2002
26		Ata Kabán, Peter Tiño, Mark Girolami: A General Framework for a Principled Hierarchical Visualization of Multivariate Data. IDEAL 2002: 518-523
25		Ata Kabán, Mark Girolami: A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams. J. Intell. Inf. Syst. 18(2-3): 107-125 (2002)
24		Alexei Vinokourov, Mark Girolami: A Probabilistic Framework for the Hierarchic Organisation and Classification of Document Collections. J. Intell. Inf. Syst. 18(2-3): 153-172 (2002)
23		Mark Girolami: Orthogonal Series Density Estimation and the Kernel Eigenvalue Problem. Neural Computation 14(3): 669-688 (2002)
22		Ata Kabán, Mark Girolami: Fast Extraction of Semantic Features from a Latent Semantic Indexed Text Corpus. Neural Processing Letters 15(1): 31-43 (2002)
21		Mark Girolami: Latent variable models for the topographic organisation of discrete and strictly positive data. Neurocomputing 48(1-4): 185-198 (2002)
20		Fabio Crestani, Mark Girolami, C. J. van Rijsbergen: Report on the 24th European colloquium on information retrieval research (ECIR 2002). SIGIR Forum 36(1): 6-9 (2002)
19		Fabio Crestani, Mark Girolami: Report on the 24th European Colloquium on Information Retrieval Research. SIGMOD Record 31(3): 77-80 (2002)
	2001
18		Ella Bingham, Ata Kabán, Mark Girolami: Finding Topics in Dynamical Text: Application to Chat Line Discussions. WWW Posters 2001
17		Ata Kabán, Mark Girolami: A Combined Latent Class and Trait Model for the Analysis and Visualization of Discrete Data. IEEE Trans. Pattern Anal. Mach. Intell. 23(8): 859-872 (2001)
16		Mark Girolami: A Variational Method for Learning Sparse and Overcomplete Representations. Neural Computation 13(11): 2517-2532 (2001)
15		Roman Rosipal, Mark Girolami: An Expectation-Maximization Approach to Nonlinear Component Analysis. Neural Computation 13(3): 505-510 (2001)
14		Roman Rosipal, Mark Girolami, Leonard J. Trejo, Andrzej Cichocki: Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression. Neural Computing and Applications 10(3): 231-243 (2001)
	2000
13		Mark Girolami, Alexei Vinokourov, Ata Kabán: The Organization and Visualization of Document Corpora: A Probabilistic Approach. DEXA Workshop 2000: 558-564
12		Mark Girolami: A generative model for sparse discrete binary data with non-uniform categorical priors. ESANN 2000: 1-6
11		Alexei Vinokourov, Mark Girolami: Probabilistic Hierarchical Clustering Method for Organizing Collections of Text Documents. ICPR 2000: 2182-2185
10		Ata Kabán, Mark Girolami: Initialized and Guided EM-Clustering of Sparse Binary Data with Application to Text Based Documents. ICPR 2000: 2744-2747
	1999
9		Te-Won Lee, Mark Girolami, Terrence J. Sejnowski: Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources. Neural Computation 11(2): 417-441 (1999)
	1998
8		Mark Girolami, Andrzej Cichocki, Shun-ichi Amari: A common neural-network model for unsupervised exploratory data analysis and independent component analysis. IEEE Transactions on Neural Networks 9(6): 1495-1501 (1998)
7		Mark Girolami: An Alternative Perspective on Adaptive Independent Component Analysis Algorithms. Neural Computation 10(8): 2103-2114 (1998)
6		Mark Girolami: The Latent Variable Data Model for Exploratory Data Analysis and Visualisation: A Generalisation of the Nonlinear Infomax Algorithm. Neural Processing Letters 8(1): 27-39 (1998)
5		Mark Girolami: A nonlinear model of the binaural cocktail party effect. Neurocomputing 22(1-3): 201-215 (1998)
	1997
4		Mark Girolami, Colin Fyfe: Independence is far from normal. ESANN 1997
3		Mark Girolami, Colin Fyfe: Stochastic ICA Contrast Maximisation Using Oja's Nonlinear PCA Algorithm. Int. J. Neural Syst. 8(5-6): 661-678 (1997)
2		Mark Girolami, Colin Fyfe: An extended exploratory projection pursuit network with linear and nonlinear anti-hebbian lateral connections applied to the cocktail party problem. Neural Networks 10(9): 1607-1618 (1997)
	1996
1		Mark Girolami, Colin Fyfe: A Temporal Model of Linear Anti-Hebbian Learning. Neural Processing Letters 4(3): 139-148 (1996)

Coauthor Index

1	J. Stuart Aitken	[66]
2	Ali Al-Shahib	[37]
3	Shun-ichi Amari	[8]
4	Leif Azzopardi	[31] [36] [41]
5	Geoffrey J. Barton	[55]
6	Ella Bingham	[18] [28]
7	Rainer Breitling	[35] [38] [65]
8	Ben Calderhead	[62]
9	Colin Campbell	[38] [67]
10	Gavin C. Cawley	[48]
11	Andrzej Cichocki	[8] [14]
12	Fabio Crestani	[19] [20] [27]
13	Malcolm Crowe	[41]
14	Rónán Daly	[66]
15	Theodoros Damoulas	[60] [63] [64] [67]
16	Kieron D. Edwards	[66]
17	Torbjørn Eltoft	[46]
18	Deniz Erdogmus	[46]
19	Colin Fyfe	[1] [2] [3] [4]
20	David Gilbert (David R. Gilbert)	[37]
21	Keith Harris	[70] [71]
22	Chao He	[29] [33] [34] [37]
23	Robert Jenssen	[46]
24	Ata Kabán (Ata Kaban)	[10] [13] [17] [18] [22] [25] [26] [28] [30] [32] [39]
25	Visakan Kadirkamanathan	[72]
26	Raya Khanin	[51]
27	Walter Kolch	[57]
28	Ronald Krebs	[43]
29	Nicola Lama	[61]
30	Jan Larsen	[45]
31	Neil D. Lawrence	[62]
32	Anatole Lécuyer	[54]
33	Te-Won Lee	[9]
34	Tao Liu	[57]
35	Fabien Lotte	[54]
36	S. Manocha	[49]
37	Lisa McMillan	[70]
38	Andrew J. Millar	[66]
39	Harald Mischak	[43] [71]
40	Mahesan Niranjan	[72]
41	Josselin Noirel	[72]
42	John S. O'Neill	[66]
43	Ian M. Overton	[55]
44	Gianandrea Padovani	[55]
45	Tamara Polajnar	[68] [69]
46	C. J. van Rijsbergen (Cornelis Joost van Rijsbergen, Keith van Rijsbergen)	[20] [27] [31] [36]
47	Simon Rogers	[38] [40] [42] [43] [44] [51] [57] [65] [68]
48	Roman Rosipal	[14] [15]
49	Gary Ross	[34]
50	Guido Sanguinetti	[72]
51	Richard A. Scheltema	[65]
52	Terrence J. Sejnowski	[9]
53	Oliver Sharma	[52]
54	Joseph S. Sventek (Joe Sventek)	[52]
55	Anna Szymkowiak-Have	[45]
56	Nicola L. C. Talbot	[48]
57	Aik Choon Tan	[37]
58	Brian Thrall	[57]
59	Peter Tiño (Peter Tino)	[26]
60	Leonard J. Trejo	[14]
61	Alexei Vinokourov	[11] [13] [24]
62	Vladislav Vyshemirsky	[56] [58] [59]
63	Katrina M. Waters	[57]
64	H. Steven Wiley	[57]
65	Dongshan Xing	[50]
66	Yiming Ying	[67]
67	Mingjun Zhong	[47] [54]

Colors in the list of coauthors