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An integrated analysis of miRNA and gene copy numbers in xenografts of Ewing's sarcoma

Journal of experimental & clinical cancer research, 2012-03, Vol.31 (1), p.24-24, Article 24

2012

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Focused multi-task learning in a Gaussian process framework

Machine learning, 2012-10, Vol.89 (1-2), p.157-182

2012

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The HLA diversity of the Anthony Nolan register

HLA, 2021-01, Vol.97 (1), p.15-29

2021

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Widespread non‐coding polymorphism in HLA class II genes of International HLA and Immunogenetics Workshop cell lines

HLA, 2022-04, Vol.99 (4), p.328-356

2022

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Transfer learning using a nonparametric sparse topic model

Neurocomputing (Amsterdam), 2013-07, Vol.112, p.124-137

2013

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Single molecule real‐time DNA sequencing of the full HLA‐E gene for 212 reference cell lines

HLA, 2020-06, Vol.95 (6), p.561-572

2020

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Focused multi-task learning in a Gaussian process framework: Selected Papers from ECML PKDD 2011

Machine learning, 2012, Vol.89 (1-2), p.157-182

2012

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Transfer learning using a nonparametric sparse topic model: Advances in artificial neural networks, machine learning, and computational intelligence: Selected papers from the 20th European Symposium on Artificial Neural Networks (ESSANN 2012)

Neurocomputing (Amsterdam), 2013, Vol.112, p.124-137

2013

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Two Methods for Sparsifying Probabilistic Canonical Correlation Analysis

Lecture notes in computer science, 2006, p.361-370

2006

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MicroRNA Expression Profiles in Kaposi’s Sarcoma

Pathology oncology research, 2014, Vol.20 (1), p.153-159

2014

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Gaussian processes for canonical correlation analysis

Neurocomputing (Amsterdam), 2008-10, Vol.71 (16), p.3077-3088

2008

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Special Issue on Learning from Multiple Sources

Machine learning, 2010, Vol.79 (1-2)

2010

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Guest Editorial: Learning from multiple sources

Machine learning, 2010-05, Vol.79 (1-2), p.1-3

2010

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The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis

Artificial Neural Networks – ICANN 2006, 2006, p.302-310

2006

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Automatic Choice of Control Measurements

Advances in Machine Learning, 2009, p.206-219

2009

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Focused Multi-task Learning Using Gaussian Processes

Machine Learning and Knowledge Discovery in Databases, 2011, p.310-325

2011

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Context assisted information extraction

Leen, Gayle

2008

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A stochastic process formulation of learning in cooperative agents

Multiagent and grid systems, 2008-01, Vol.4 (4), p.401-414

2008

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Agent Wars with Artificial Immune Systems

Entertainment Computing - ICEC 2004, 2004, Vol.3166, p.420-428

2004

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A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis

The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006, p.1073-1077

2006

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Maternal Alcohol and Caffeine Consumption and Spontaneous Abortion

Epidemiology (Cambridge, Mass.), 1998-09, Vol.9 (5), p.583-584

1998

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An integrated analysis of miRNA and gene copy numbers in xenografts of Ewing's sarcoma

Focused multi-task learning in a Gaussian process framework

The HLA diversity of the Anthony Nolan register

Widespread non‐coding polymorphism in HLA class II genes of International HLA and Immunogenetics Workshop cell lines

Transfer learning using a nonparametric sparse topic model

Single molecule real‐time DNA sequencing of the full HLA‐E gene for 212 reference cell lines

Focused multi-task learning in a Gaussian process framework: Selected Papers from ECML PKDD 2011

Transfer learning using a nonparametric sparse topic model: Advances in artificial neural networks, machine learning, and computational intelligence: Selected papers from the 20th European Symposium on Artificial Neural Networks (ESSANN 2012)

Two Methods for Sparsifying Probabilistic Canonical Correlation Analysis

MicroRNA Expression Profiles in Kaposi’s Sarcoma

Gaussian processes for canonical correlation analysis

Special Issue on Learning from Multiple Sources

Guest Editorial: Learning from multiple sources

The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis

Automatic Choice of Control Measurements

Focused Multi-task Learning Using Gaussian Processes

Context assisted information extraction

A stochastic process formulation of learning in cooperative agents

Agent Wars with Artificial Immune Systems

A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis

Maternal Alcohol and Caffeine Consumption and Spontaneous Abortion

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