Publications

• 2012
  • On the Fully Bayesian Treatment of Latent Gaussian Models using Stochastic Simulations
    Filippone, M., Zhong, M., Girolami, M. - DCS Technical Report Series (Dept of Computing Science, University of Glasgow, 36) (google scholar)
• 2011
  • Learning Bayesian Networks: Approaches and Issues
    Daly, R., Shen, Q., Aitken, S. - The Knowledge Engineering Review (Cambridge University Press, 99-157) (google scholar)
• 2010
  • Protein Interaction Detection in Sentences via Gaussian Processes: A preliminary evaluation
    Polajnar, T., Rogers, S., Girolami, M. - International Journal of Data Mining and Bioinformatics (google scholar)
  • Predictive response-relevant clustering of expression data provides insights into disease processes
    Hopcroft, L.E., McBride, M.W., Harris, K., Sampson, A.K., McClure, J.D., Graham, D., Young, G., Holyoake, T.L., Girolami, M.A., Dominiczak, A.F. - Nucleic Acids Research (google scholar)
  • A Framework For Evaluating Automatic Image Annotation Algorithms
    Athanasakos, K., Stathopoulos, V., Jose, J.M. - 32nd European Conference on Information Retrieval (Springer) (google scholar)
  • Analysis of SVM with Indefinite Kernels
    Ying, Y., Campbell, C., Girolami, M. - NIPS 2009 (MIT Press) (google scholar)
• 2009
  • Reversible Jump MCMC for Non-Negative Matrix Factorization
    Zhong, M., Girolami, M. - In D. Dyk and M. Welling, editors, Proceedings of the 12th International Conference on Artificial Intelligence and Statistics, volume 5, pages 663-670, 2009 (google scholar)
  • A Simulated Evaluation of Image Browsing Using High-Level Classication
    Leelanupab, T., Feng, Y., Stathopoulos, V., Jose, J.M. - 4th International Conference on Semantic and Digital Media Technologies, SAMT 2009 (google scholar)
  • Bayesian Methods to Detect Dye Labelled DNA Oligonucleotides in Multiplexed Raman Spectra
    Zhong, M., Girolami, M., Faulds, K., Graham, D. (google scholar)
  • Semi-Parametric Analysis of Multi-Rater Data
    Rogers, S., Girolami, M., Polajnar, T. - Statistics and Computing (Springer) (google scholar)
  • Bayesian Mixture Hierarchies for Automatic Image Annotation
    Stathopoulos, V., Jose, J.M. - European Conference on Information Retrieval (Springer) (google scholar)
  • Formal methods for biochemical signalling pathways
    Calder, M., Gilmore, S., Hillston, J., Vyshemirsky, V. - Formal Methods: State of the Art and New Directions (Springer) (google scholar)
  • Infinite Factorization of Multiple Non-parametric Views
    Rogers, S.D., Klami, A., Sinkkonen, J., Girolami, M.A., Kaski, S. - Machine Learning (Springer) (google scholar)
  • Combining Feature Spaces for Classification
    Damoulas, T., Girolami, M.A. - Pattern Recognition, Volume 42, Issue 11 (Elsevier Science, 2671-2683) (google scholar)
  • Estimating Bayes Factors via Thermodynamic Integration and Population MCMC
    Calderhead, B., Girolami, M. - Computational Statistics and Data Analysis 53 (2009). DOI information: 10.1016/j.csda.2009.07.025 (Elsevier Science, 4028-4045) (google scholar)
  • Probabilistic assignment of formulas to mass peaks in metabolomics experiments
    Rogers, S., Scheltema, R., Girolami, M.A., Breitling, R. - Bioinformatics, 25(4) (Oxford University Press, 512--518) (google scholar)
  • On Social Networks and Collaborative Recommendation
    Konstas, I., Stathopoulos, V., Jose, J.M. - 32nd Annual ACM SIGIR conference (ACM) (google scholar)
  • Riemannian Manifold Hamiltonian Monte Carlo
    Girolami, M., Calderhead, B., Chin, S. - DCS Technical Report Series (Dept of Computing Science, University of Glasgow, 35) (google scholar)
  • Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
    Calderhead, B., Girolami, M., Lawrence, N. - Advances in Neural Information Processing Systems 21 (2009) (MIT Press, 217-224) (google scholar)
  • Using Higher-Order Dynamic Bayesian Networks to Model Periodic Data from the Circadian Clock of Arabidopsis Thaliana
    Daly, R., Edwards, K.D., O'Neill, J.S., Aitken, S., Millar, A.J., Girolami, M. - Proceedings of the Fourth IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2009) (LNCS, Springer, 67--78) (google scholar)
  • Class Prediction from Disparate Biological Data Sources using an Iterative Multi-kernel Algorithm
    Ying, Y., Campbell, C., Damoulas, T., Girolami, M.A. - Lecture Notes in Bioinformatics, Proceedings of the 4th IAPR International Conference, Pattern Recognition in Bioinformatics 2009 (PRIB 2009) (Springer Verlag, 427-438) (google scholar)
  • Definition of Valid Proteomic Biomarkers: A Bayesian Solution
    Harris, K., Girolami, M., Mischak, H. - Pattern Recognition In Bioinformatics 2009 (Springer Verlag) (google scholar)
  • Inferring Meta-covariates in Classification
    Harris, K., Hopcroft, L.E., Girolami, M. - Pattern Recognition In Bioinformatics 2009 (Springer Verlag) (google scholar)
  • Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics
    Polajnar, T., Girolami, M. - Lecture Notes in Bioinformatics, Proceedings of the 4th IAPR International Conference, Pattern Recognition in Bioinformatics 2009 (Springer Verlag, 270–281) (google scholar)
  • Classification of Protein Interaction Sentences via Gaussian Processes
    Polajnar, T., Rogers, S., Girolami, M. - Lecture Notes in Bioinformatics, Proceedings of 4th IAPR International Conference, Pattern Recognition in Bioinformatics 2009 (Springer Verlag, 282–292) (google scholar)
  • Learning Bayesian Network Equivalence Classes with Ant Colony Optimization
    Daly, R., Shen, Q. - Journal of Artificial Intelligence Research (AAAI Press, 391--447) (google scholar)
• 2008
  • Classifying EEG for Brain Computer Interfaces Using Gaussian Processes
    Zhong, M., Lotte, F., Girolami, M., Lecuyer, A. - Pattern Recognition Letters (google scholar)
  • BRCA1 and BRCA2 Missense Variants of High and Low Clinical Significance Influence Lymphoblastoid Cell Line Post-Irradiation Gene Expression
    Waddell, N., Ten Haaf, A., Marsh, A., Johnson, J., Walker, L., Gongora, M., Brown, M., Grover, P., Girolami, M., Grimmond, S., Chenevix-Trench, G., Spurdle, A. - PLoS Genetics (google scholar)
  • Sloppy Parameters in Oscillatory Systems with Unobserved Species
    Calderhead, B., Girolami, M. - Proceedings of the Fifth International Workshop on Computational Systems Biology (google scholar)
  • Semantic Relationships in Multi-modal Graphs for Automatic Image Annotation
    Stathopoulos, V., Urban, J., Jose, J.M. - European Conference on Information Retrieval (Springer, 490-497) (google scholar)
  • Bayesian Inference for Differential Equations
    Girolami, M. - Theoretical Computer Science (Elsevier Science) (google scholar)
  • Pattern recognition with a Bayesian kernel combination machine
    Damoulas, T., Girolami, M. - Pattern Recognition Letters, Volume 30, Issue 1, (Elsevier Science) (google scholar)
  • vbmp: Variational Bayesian Multinomial Probit Regression for multi-class classification in R
    Lama, N., Girolami, M. - Bioinformatics (Oxford University Press) (google scholar)
  • Bayesian Ranking of Biochemical System Models
    Vyshemirsky, V., Girolami, M. - Bioinformatics (Oxford University Press) (google scholar)
  • ParCrys: A Parzen Window Density Estimation Approach to Protein Crystallisation Propensity Prediction
    Overton, I., Padovani, G., Girolami, M., Barton, G. - Bioinformatics (Oxford University Press) (google scholar)
  • Probabilistic multi-class multi-kernel learning: On protein fold recognition and remote homology detection
    Damoulas, T., Girolami, M. - Bioinformatics, 24(10) (Oxford University Press, 1264-70) (google scholar)
  • BioBayes: A Software Package for Bayesian Inference in Systems Biology
    Vyshemirsky, V., Girolami, M. - Bioinformatics (Oxford University Press) (google scholar)
  • Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models
    Rogers, S.D., Girolami, M.A., Kolch, W., Waters, K.M., Liu, T., Thrall, B., Wiley, H.S. - Bioinformatics, Volume 24, Number 24 (Oxford University Press, pages 2894–2900) (google scholar)
  • An Evaluation of Gaussian Processes for Sentence Classification and Protein Interaction Detection
    Polajnar, T., Rogers, S., Girolami, M. - DCS Technical Report Series (Dept of Computing Science, University of Glasgow) (google scholar)
  • Inference in a Gene Regulatory Network with Transcriptional Time Delay
    Higham, C.F. - DCS Technical Report Series (Dept of Computing Science, University of Glasgow) (google scholar)
  • Inferring Sparse Kernel Combinations and Relevance Vectors: An application to subcellular localization of proteins
    Damoulas, T., Ying, Y., Girolami, M., Campbell, C. - International Conference on Machine Learning and Applications, (IEEE) (google scholar)
• 2007
  • Multi-class semi-supervised learning with the e-truncated multinomial probit Gaussian process
    Rogers, S., Girolami, M. - Proceeding of the Gaussian Processes in Practice Workshop, 2006 (google scholar)
  • Bayesian model-based inference of transcription factor activity
    Rogers, S., Khanin, R., Girolami, M. - BMC Bioinformatics (google scholar)
  • An empirical analysis of the probabilistic k-nearest neighbour classifier
    Manocha, S., Girolami, M. - Pattern Recognition Letters, Volume 28, Number 13 (Elsevier Science, 1818-1824) (google scholar)
  • Detecting Worm Variants using Machine Learning
    Sharma, O., Girolami, M., Sventek, J.S. - Proceedings of the 3rd International Conference on emerging Networking EXperiments and Technologies (CoNEXT), New York, NY, USA, December 2007 (ACM) (google scholar)
  • Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm
    Jensen, R., Eltoft, T., Girolami, M., Erdogmus, D. - Twentieth Annual Conference on Neural Information Processing Systems - NIPS 2006 (MIT Press) (google scholar)
  • Data Integration for Classification Problems Employing Gaussian Process Priors
    Girolami, M., Zhong, M. - Twentieth Annual Conference on Neural Information Processing Systems - NIPS 2006 (MIT Press) (google scholar)
  • Sparse Multinomial Logistic Regression via Bayesian Regularisation using a Laplace Prior
    Cawley, G., Talbot, N., Girolami, M. - Twentieth Annual Conference on Neural Information Processing Systems - NIPS 2006 (MIT Press) (google scholar)
• 2006
  • Identification of Prognostic Signatures in Breast Cancer Microarray Data using Bayesian Techniques
    Carrivick, L., Rogers, S., Clark, J., Campbell, C., Girolami, M., Cooper, C. - Journal of the Royal Society Interface, Vol.3, No.8. (google scholar)
  • Accurate Prediction of BRCA1 and BRCA2 heterozygous genotype using expression profiling after induced DNA damage
    Kote-Jarai, Z., Matthews, L., Osorio, A., Shanley, S., Giddings, I., Moseews, F., Locke, I., Evans, G., Girolami, M., Williams, R., Campbell, C. - Clinical Cancer Research, Vol. 12, No. 13, pp. 3896 - 3901 (google scholar)
  • A Bayesian analysis of the ERK signalling pathway
    Vyshemirsky, V., Girolami, M., Gormand, A., Kolch, W. - Department of Computing Science Technical Reports (google scholar)
  • Computational methodologies for modelling, analysis and simulation of signalling networks
    Gilbert, D., Fuß, H., Gu, X., Orton, R., Robinson, S., Vyshemirsky, V., Kurth, M.J., Downes, C.S., Dubitzky, W. - Briefings in Bioinformatics (Oxford University Press) (google scholar)
  • Clustering via Kernel Decomposition
    Szymkowiak-Have, A., Girolami, M., Larsen, J., - IEEE Transactions on Neural Networks, Vol. 17, No. 1, pp. 256-264 (IEEE) (google scholar)
  • Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors
    Girolami, M.A., Rogers, S. - Neural Computation, Volume 18, Number 8, pages 1790 - 1817. (MIT Press, 28) (google scholar)
  • Analysis of Signalling Pathways using Continuous Time Markov Chains
    Calder, M., Vyshemirsky, V., Gilbert, D., Orton, R. - Trans.on Computat. Syst. Biol. VI, volume 4220 (Springer Verlag, 44-67) (google scholar)
• 2005
  • Hierarchic Bayesian Models for Kernel Learning
    Girolami, M., Rogers, S. (google scholar)
  • Hierarchic Bayesian Models for Kernel Learning
    Girolami, M., Rogers, S., - Proceedings of 22nd International Conference on Machine Learning (google scholar)
  • Disease Classification with Capillary Electrophoresis:Mass Spectrometry
    Rogers, S., Girolami, M., Krebs, R., Mischak, H., - International Conference for Advances in Pattern Recognition, Bath 2005 (google scholar)
  • Computational Modelling of the Receptor Tyrosine Kinase Activated MAPK Pathway
    Orton, R.J., Sturm, O., Vyshemirsky, V., Calder, M., Gilbert, D.R., Kolch, W., - Biochemical Journal, Volume 392 (google scholar)
  • Probabilistic Hyperspace Analogue to Language
    Azzopardi, L., Girolami, M., Crowe, M. - Proceedings of the 28th Annual ACM Conference on Research and Development in Infomration Retrieval (SIGIR 2005) (google scholar)
  • The Latent Process Decomposition of cDNA Microarray Datasets
    Rogers, S., Girolami, M., Campbell, C., Breitling, R., - IEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume 2, Number 2. (IEEE Computer Society Press, 143-156) (google scholar)
  • A Bayesian Regression Approach to the Inference of Regulatory Networks from Gene Expression Data
    Rogers, S., Girolami, M., - Bioinformatics, Vol 21, Nos 14, pp 313 - 3137. (Oxford University Press) (google scholar)
  • Sequential Activity Profiling : Latent Dirichlet Allocation of Markov Chains
    Girolami, M., Kaban, A., - Data Mining and Knowledge Discovery, Vol 10, pp 175 - 196. (Kluwer) (google scholar)
  • Analysis of Signalling Pathways using the Prism Model Checker
    Calder, M., Vyshemirsky, V., Gilbert, D., Orton, R., - Proceedings of Third International CMSB 2005 (Computational Methods in Systems Biology). (University of Edinburgh, 179-190) (google scholar)
• 2004
  • User Biased Document Language Modelling
    Azzopardi, L., Girolami, M., van Rijsbergen, C.J., (google scholar)
  • Topic Based Language Models for Ad Hoc Information Retrieval
    Azzopardi, L., Girolami, M., van Rijsbergen, C.J. - Proceedings of the International Joint Conference in Neural Networks (IJCNN 2004) (google scholar)
  • Employing Optimised Combinations of One-Class Classifiers for Automated Currency Validation
    He, C., Girolami, M., Ross, G., - Pattern Recognition Vol 37, Nos 6 (Elsevier Science, 1085-1096) (google scholar)
  • Novelty Detection Employing an L2 Optimal Nonparametric Density Estimator
    He, C., Girolami, M., - Pattern Recognition Letters, Vol 25, Nos 12, pp 1389-1397. (Elsevier Science) (google scholar)
  • Biologically Valid Linear Factor Models of Gene Expression
    Girolami, M., Breitling, R., - Bioinformatics, Vol 20, Nos 17, pp 3021 - 3033. (Oxford University Press, 26) (google scholar)
  • Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles
    Girolami, M., Kaban, A., - Advances in Neural Information Processing Systems 16, eds Sebastian Thrun and Lawrence Saul and Bernhard Scholkopf, MIT Press (MIT Press, 9 - 16) (google scholar)
• 2003
  • A Process for Automated Currency Validation
    Girolami, M., He, C., Ross, G., (google scholar)
  • On an Equivalence between PLSI and LDA
    Girolami, M., Kaban, A., - 26th ACM Conference on Research and Development in Information Retrieval, SIGIR (google scholar)
  • Investigating the Relationship between Language Model Perplexity and IR Precision-Recall Measures
    Azzopardi, L., Girolami, M., van Rijsbergen, C.J., - 26th ACM Conference on Research and Development in Ingormation Retrieval, SIGIR (google scholar)
  • Probability Density Estimation from Optimally Condensed Data Samples
    Girolami, M., He, C., - IEEE Transactions Pattern Analysis and Machine Intelligence (IEEE, v.25 no.10 1253-1264) (google scholar)
• 2002
  • A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams
    Kaban, A., Girolami, M., - Journal of Intelligent Information Systems (google scholar)
  • A Probabilistic Framework for the Hierachic Organisation & Classification of Document Collections
    Vinokourov, A., Girolami, M., - Journal of Intelligent Information Systems (google scholar)
  • Fast extraction of Semantic features from a Latent Semantic Indexed Text Corpus
    Kaban, A., Girolami, M., - Neural Processing Letters (google scholar)
  • Topic Indentification in Chat line Discussions by Extracting Independent Minimum Complexity Time Components.
    Bingham, E., Kaban, A., Girolami, M., - Neural Processing Letters (google scholar)
  • A General Framework for Principled Hierachical Visulisation of Multivariate Data
    Kaban, A., Tino, P., Girolami, M., - Third International Conference on Intelligent Data Engineering and Automated Learnind (IDEAL`02) (google scholar)
  • "Artificial Intelligence Systmes Techniques and Applications in Speech Processing"
    Campbell, D.R., Fyfe, C., Girolami, M., - Intelligence Systems Technology and Applications, Vol.III Signal, Image and Speech processing, 1-48, Ed: C T Leondes (CRC Press, V.III 1-48) (google scholar)
  • Mercer Kernel Based Clustering in Feature Space
    Girolami, M., - IEEE Transactions on Neural Networks (IEEE, v.13, No.4, 780-784) (google scholar)
  • Orthogonal Series Density Estimation and the Kernel Eigenvalue Problem
    Girolami, M., - Neural Computation (MIT Press, v.13 No.4 669-668) (google scholar)
  • Advances in Infomration Retrieval
    Crestani, F., Girolami, M., van Rijsbergen, C., - 24th BCS-IRSG European Colloquium on IR Research, Glasgow, UK, 2002 (Springer Verlag) (google scholar)
• 2001
  • Kernel PCA for Feature Extraction and De-Noising in Non-Linear Regression
    Rosipal, R., Girolami, M., Trejo, L., - Neural Computing and Applications (google scholar)
  • Document classification employing the Fisher kernel derived from probabilistic hierachic corpus representations
    Vinolourov, A., Girolami, M., (google scholar)
  • Document classification employing the Fisher kernel derived from probabilistic hierachic corpus representations
    Vinolourov, A., Girolami, M., - 23rd European Colloquium on IR Research (google scholar)
  • Finding topics in dynamical text: application to chat line discussions
    Bingham, E., Kaban, A., Girolami, M., - 10th International World Wide Web Conference (WWW10) (google scholar)
  • A Combined Latent Class and Trait Model for the Analysis and Visualisation of Discrete Data
    Kaban, A., Girolami, M., - IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE Computer Society Press, v.23, no.8 859-872) (google scholar)
  • The Topographic Organisation and Visulisation of Binary Data using Mutivariate-Bernoulli Latent Variable Models
    Girolami, M., - IEEE Transactions on Neural Networks (IEE Publications, v.12, no.6, 1367-1374) (google scholar)
  • Latent Variable Models for the Topographic Organisation of Discrete and Strictly Positive Data
    Girolami, M., - Neural Computation (MIT Press, v.48, no.1-4, 185-198) (google scholar)
  • A Variational Method for Learning Sparse and Overcomplete Representations
    Girolami, M., - Neural Computation (MIT Press, v.13, no.11, 2517-2532) (google scholar)
  • An Expectation Maximisation Approach to Nonlinear Component Analysis
    Rosipal, R., Girolami, M., - Neural Computation (MIT Press) (google scholar)
  • `ICA: Principles and Practice'
    Girolami, M., - Latent Class and Trait Models for Data Classification and Visulisation. Editors Stephen Roberts (Oxford University) & Richard Everson (Exeter University). (Cambridge University Press) (google scholar)
• 2000
  • A Unifying Information Theoretic Framework for Independent Component Anylasis
    Lee, T.W., Girolami, M., Bell, A.J., Sejnowski, T. - International Journal on Mathematical and Computer Modellling (google scholar)
  • A Unifying Information Theoretic Framework for Independent Component Analysis
    Lee, T.W., Girolami, M., Bell, A.J., Sejnowski, T.A., - International Journal on Mathematical and Computer Modelling (google scholar)
  • The Organisation and Visualisation of Document Corpoar: A Probabilistic Approach
    Girolami, M., Vinokourov, A., Kaban, A., - Invited paper, DEXA, 2000. 11'th International Conference and Workshop on Database and Expert Systems Applications (google scholar)
  • Implementing Decisions in Binary Decision Trees Using Independent Component Analysis
    Pajunen, P., Girolami, M., - 2'nd International Workshop on Independent Component Analysis and Blind Source Separation, ICA'2000, Helsinki (google scholar)
  • Clustering of Text Documents by Skewness Maximisation
    Kaban, A., Girolami, M., - 2'nd International Workshop on Independent Component Analysis and Blind Source Separation, ICA'2000, Helsinki (google scholar)
  • Kernel PCA Feature Extracton of Event-Related Potentials for Human Signal Detection Performance
    Rosipa, R., Girolami, M., Trejo, L., - In proceedings of International Conference on Artificial Neural Networks in Medicine Biology. Editors Malmgen, Borga and Niklasson (google scholar)
  • Extraction of Sleep-Spindles from the Electroencephalogram
    Barros, A., Rosipal, R., Girolami, M., Doerfner, G., - In proceedings of International Conference on Artificial Neural Networks in Medicine and Biology. Editors Malmgren, Borga and Niklasson (google scholar)
  • A Generative Model for Sparse Discrete Binary Data with Non-Uniform Categorical Priors
    Girolami, M., - In proceedings of ESANN'00, European Symposium on Artificial Neural Networks (google scholar)
  • Perspective in Neural Computation
    Girolami, M., - Advances in Independent Component Analysis. Editor J.Taylor (Springer Verlag) (google scholar)
• 1999
  • Stochastic ICA Contrast Maximisation Using Oja's Nonlinear PCA Algorithm
    Girolami, M., Fyfe, C., - International Journal of Neural Systems (google scholar)
  • Independent Component Analysis using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources
    Lee, T.W., Girolami, M., Sejnowski, T., - Neural Computation (google scholar)
  • Blind Source Separation of More Sources Using Overcomplete Representations
    Lee, T.W., Lewicki, M.S., Girolami, M., Sejnowski, T., - IEEE Signal Processing Letters (IEE, v.1, no.4 87-90) (google scholar)
  • Self-Organising Neural Networks: Independent Component Analysis and Blind Signal Separation
    Girolami, M., - Perspectives in Neural Computatation, Editor J.Taylor (Springer Verlag) (google scholar)
• 1998
  • An Alternative Perspective on Adaptive Independent Component Analysis Algorithms
    Girolami, M., - Neural Computation (google scholar)
  • The Latent Variable Data Model for Expolartory Data Analysis and Visualisation: A Generalisation of the Nonlinear Infomax Algorithm
    Girolami, M., - Neural Processing Letters (google scholar)
  • A Nonlinear Model of the Binaural Cocktail Party Effect
    Girolami, M., - Neurocomputing (google scholar)
  • A Common Neural Network Model for Exploratory Data Analysis and Independent Component Analysis
    Girolami, M., Cichocki, A., Amari, S.I., - IEEE Transactions on Neural Networks (IEEE, V 9, No.6 1495 -1501) (google scholar)
• 1997
  • Symmetric Adaptive Maximum Likelihood Estimation for Noise Cancellation and Signal Separation
    Girolami, M., - Electronics Letters (google scholar)
  • Extraction of Independent Signal Sources using a Deflationary Exploratory Projection Persuit Network with Lateral Inhibition
    Girolami, M., Fyfe, C., - I.E.E. Proceedings on Vision, Image and Signal Processing (google scholar)
  • An Extended Exploratory Projection Persuit Network with Linear and Nonlinear Anti-Hebbian Connections Applied to the Cocktail Party Problem
    Girolami, M., Fyfe, C., - Neural Networks (google scholar)
  • Adaptive Processing Schemes Inspired by Binaural Unmasking for Enhancement of Speech Corrupted with Noise and Reverberation
    Shields, P., Girolami, M., Campbell, D., Fyfe, C., - Neuromorphic Systems: Engineering Silicon for Neurobiology, Editors L.S.Smith and A.Hamilton (World Scientific, 61-74) (google scholar)
• 1996
  • A Temporal Model of Linear Anti-Hebbian Learning
    Girolami, M., Fyfe, C., - Neural Processing Letters (google scholar)