Mark A. Girolami

Mark Girolami

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61EETheodoros Damoulas, Mark A. Girolami: Pattern recognition with a Bayesian kernel combination machine. Pattern Recognition Letters 30(1): 46-54 (2009)
60EEBen Calderhead, Mark Girolami, Neil D. Lawrence: Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes. NIPS 2008: 217-224
59EENicola Lama, Mark Girolami: vbmp: Variational Bayesian Multinomial Probit Regression for multi-class classification in R. Bioinformatics 24(1): 135-136 (2008)
58EETheodoros Damoulas, Mark A. Girolami: Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection. Bioinformatics 24(10): 1264-1270 (2008)
57EEVladislav Vyshemirsky, Mark Girolami: BioBayes: A software package for Bayesian inference in systems biology. Bioinformatics 24(17): 1933-1934 (2008)
56EEVladislav Vyshemirsky, Mark A. Girolami: Bayesian ranking of biochemical system models. Bioinformatics 24(20): 2421 (2008)
55EEVladislav Vyshemirsky, Mark Girolami: Bayesian ranking of biochemical system models. Bioinformatics 24(6): 833-839 (2008)
54EEIan 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)
53EEMingjun 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)
52EEMark Girolami: Bayesian inference for differential equations. Theor. Comput. Sci. 408(1): 4-16 (2008)
51EEOliver Sharma, Mark Girolami, Joseph S. Sventek: Detecting worm variants using machine learning. CoNEXT 2007: 2
50EEDongshan Xing, Mark Girolami: Employing Latent Dirichlet Allocation for fraud detection in telecommunications. Pattern Recognition Letters 28(13): 1727-1734 (2007)
49EES. Manocha, Mark Girolami: An empirical analysis of the probabilistic K-nearest neighbour classifier. Pattern Recognition Letters 28(13): 1818-1824 (2007)
48EEGavin C. Cawley, Nicola L. C. Talbot, Mark Girolami: Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation. NIPS 2006: 209-216
47EEMark Girolami, Mingjun Zhong: Data Integration for Classification Problems Employing Gaussian Process Priors. NIPS 2006: 465-472
46EERobert Jenssen, Torbjørn Eltoft, Mark Girolami, Deniz Erdogmus: Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm. NIPS 2006: 633-640
45EEAnna Szymkowiak-Have, Mark Girolami, Jan Larsen: Clustering via kernel decomposition. IEEE Transactions on Neural Networks 17(1): 256-264 (2006)
44EEMark Girolami, Simon Rogers: Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors. Neural Computation 18(8): 1790-1817 (2006)
43EESimon Rogers, Mark Girolami, Ronald Krebs, Harald Mischak: Disease Classification from Capillary Electrophoresis: Mass Spectrometry. ICAPR (1) 2005: 183-191
42EEMark Girolami, Simon Rogers: Hierarchic Bayesian models for kernel learning. ICML 2005: 241-248
41EELeif Azzopardi, Mark Girolami, Malcolm Crowe: Probabilistic hyperspace analogue to language. SIGIR 2005: 575-576
40EESimon Rogers, Mark Girolami: A Bayesian regression approach to the inference of regulatory networks from gene expression data. Bioinformatics 21(14): 3131-3137 (2005)
39EEMark Girolami, Ata Kabán: Sequential Activity Profiling: Latent Dirichlet Allocation of Markov Chains. Data Min. Knowl. Discov. 10(3): 175-196 (2005)
38EESimon 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)
37EEAli 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
36EELeif Azzopardi, Mark Girolami, Cornelis Joost van Rijsbergen: User biased document language modelling. SIGIR 2004: 542-543
35EEMark Girolami, Rainer Breitling: Biologically valid linear factor models of gene expression. Bioinformatics 20(17): 3021-3033 (2004)
34EEChao He, Mark Girolami, Gary Ross: Employing optimized combinations of one-class classifiers for automated currency validation. Pattern Recognition 37(6): 1085-1096 (2004)
33EEChao He, Mark Girolami: Novelty detection employing an L2 optimal non-parametric density estimator. Pattern Recognition Letters 25(12): 1389-1397 (2004)
32EEMark Girolami, Ata Kabán: Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles. NIPS 2003
31EELeif Azzopardi, Mark Girolami, Keith van Risjbergen: Investigating the relationship between language model perplexity and IR precision-recall measures. SIGIR 2003: 369-370
30EEMark Girolami, Ata Kabán: On an equivalence between PLSI and LDA. SIGIR 2003: 433-434
29EEMark 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)
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
26EEAta 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)
23EEMark 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)
21EEMark Girolami: Latent variable models for the topographic organisation of discrete and strictly positive data. Neurocomputing 48(1-4): 185-198 (2002)
20EEFabio 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)
19EEFabio Crestani, Mark Girolami: Report on the 24th European Colloquium on Information Retrieval Research. SIGMOD Record 31(3): 77-80 (2002)
18EEElla Bingham, Ata Kabán, Mark Girolami: Finding Topics in Dynamical Text: Application to Chat Line Discussions. WWW Posters 2001
17EEAta 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)
16EEMark 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)
14EERoman 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)
13EEMark Girolami, Alexei Vinokourov, Ata Kabán: The Organization and Visualization of Document Corpora: A Probabilistic Approach. DEXA Workshop 2000: 558-564
12EEMark Girolami: A generative model for sparse discrete binary data with non-uniform categorical priors. ESANN 2000: 1-6
11EEAlexei Vinokourov, Mark Girolami: Probabilistic Hierarchical Clustering Method for Organizing Collections of Text Documents. ICPR 2000: 2182-2185
10EEAta Kabán, Mark Girolami: Initialized and Guided EM-Clustering of Sparse Binary Data with Application to Text Based Documents. ICPR 2000: 2744-2747
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)
8EEMark 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)
5EEMark Girolami: A nonlinear model of the binaural cocktail party effect. Neurocomputing 22(1-3): 201-215 (1998)
4 Mark Girolami, Colin Fyfe: Independence is far from normal. ESANN 1997
3EEMark Girolami, Colin Fyfe: Stochastic ICA Contrast Maximisation Using Oja's Nonlinear PCA Algorithm. Int. J. Neural Syst. 8(5-6): 661-678 (1997)
2EEMark 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)
1 Mark Girolami, Colin Fyfe: A Temporal Model of Linear Anti-Hebbian Learning. Neural Processing Letters 4(3): 139-148 (1996)

Coauthor Index

1Ali Al-Shahib [37]
2Shun-ichi Amari [8]
3Leif Azzopardi [31] [36] [41]
4Geoffrey J. Barton [54]
5Ella Bingham [18] [28]
6Rainer Breitling [35] [38]
7Ben Calderhead [60]
8Colin Campbell [38]
9Gavin C. Cawley [48]
10Andrzej Cichocki [8] [14]
11Fabio Crestani [19] [20] [27]
12Malcolm Crowe [41]
13Theodoros Damoulas [58] [61]
14Torbjørn Eltoft [46]
15Deniz Erdogmus [46]
16Colin Fyfe [1] [2] [3] [4]
17David Gilbert (David R. Gilbert) [37]
18Chao He [29] [33] [34] [37]
19Robert Jenssen [46]
20Ata Kabán (Ata Kaban) [10] [13] [17] [18] [22] [25] [26] [28] [30] [32] [39]
21Ronald Krebs [43]
22Nicola Lama [59]
23Jan Larsen [45]
24Neil D. Lawrence [60]
25Anatole Lécuyer [53]
26Te-Won Lee [9]
27Fabien Lotte [53]
28S. Manocha [49]
29Harald Mischak [43]
30Ian M. Overton [54]
31Gianandrea Padovani [54]
32C. J. van Rijsbergen (Cornelis Joost van Rijsbergen, Keith van Rijsbergen) [20] [27] [36]
33Keith van Risjbergen [31]
34Simon Rogers [38] [40] [42] [43] [44]
35Roman Rosipal [14] [15]
36Gary Ross [34]
37Terrence J. Sejnowski [9]
38Oliver Sharma [51]
39Joseph S. Sventek (Joe Sventek) [51]
40Anna Szymkowiak-Have [45]
41Nicola L. C. Talbot [48]
42Aik Choon Tan [37]
43Peter Tiño (Peter Tino) [26]
44Leonard J. Trejo [14]
45Alexei Vinokourov [11] [13] [24]
46Vladislav Vyshemirsky [55] [56] [57]
47Dongshan Xing [50]
48Mingjun Zhong [47] [53]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)