PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Tijl De Bie

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Number of EPrints submitted by this user: 28

Bounding the k-family-wise error rate using resampling methods
Tijl De Bie and John Shawe-Taylor
In: Type I and type II errors for Multiple Simultaneous Hypothesis Testing, 15-16 May 2007, Paris, France.

Kernel-based data fusion for gene prioritization
Tijl De Bie, Leon-Charles Tranchevent Tranchevent, Liesbeth van Oeffelen and Yves Moreau
Bioinformatics Volume 23, Number 13, pp. 25-32, 2007.

Modeling Sequence Evolution with Kernel Methods
Margherita Bresco, Marco Turchi, Tijl De Bie and Nello Cristianini
Computational Optimization and Applications Volume 38, Number 2, pp. 281-298, 2007.

The Evolution of Mammalian Gene Families
Jeffery Demuth, Tijl De Bie, Jason Stajich, Nello Cristianini and Matthew Hahn
PLoS ONE Volume 1, Number 1, 2006.

Inferring transcriptional module networks from ChIP-chip-, motif- and microarray data
Karen Lemmens, Thomas Dhollander, Tijl De Bie, Pieter Monsieurs, Kristof Engelen, Joris Winderickx, Bart De Moor and Kathleen Marchal
Genome Biology Volume 7, Number R37, 2006.

CAFE: a computational tool for the study of gene family evolution
Tijl De Bie, Nello Cristianini, Jeffery Demuth and Matthew Hahn
Bioinformatics Volume 22, Number 10, pp. 1269-1271, 2006.

Discriminative Sequence Labeling by Z-score Optimization
elisa ricci, Tijl De Bie and Nello Cristianini
In: ECML 2007, Warsaw, Poland(2007).

MINI: Mining Informative Non-redundant Itemsets
arianna gallo, Tijl De Bie and Nello Cristianini
In: PKDD 2007, Warsaw, Poland(2007).

Learning to align: a statistical approach
elisa ricci, Tijl De Bie and Nello Cristianini
In: IDA 2007, 6-8 Sep 2007, Ljubljana, Slovenia.

Deploying SDP for machine learning
Tijl De Bie
In: ESANN 2007, Bruges, Belgium(2007).

A metamorphosis of Canonical Correlation Analysis into Multivariate Maximum Margin Learning
Sandor Szedmak, Tijl De Bie and David Hardoon
In: ESANN 2007, Bruges, Belgium(2007).

Data mining, data fusion, and information management
John Shawe-Taylor, Tijl De Bie and Nello Cristianini
IEE Proceedings - Intelligent Transport Systems Volume 153, Number 3, pp. 221-229, 2006. ISSN 1748-0248

Detecting the bias in media with statistical learning methods
Blaz Fortuna, Carolina Galleguillos and Nello Cristianini
In: Text Mining: Theory and Applications (2008) Taylor and Francis Publisher .

DISTILLER: a data integration framework to reveal condition dependency of complex regulons in Escherichia coli
Karen Lemmens, Tijl De Bie, Thomas Dhollander, Sigrid De Keersmaecker, Inge Thijs, Geert Schoofs, Ami De Weerdt, Bart De Moor, Jozef Vanderleyden, Julio Collado-Vides, Kristof Engelen and Kathleen Marchal
Genome Biology Volume 10, Number R27, 2009.

A Kernel Canonical Correlation Analysis for Learning the Semantics of Text
Blaz Fortuna, Nello Cristianini and John Shawe-Taylor
In: Kernel Methods in Bioengineering, Signal and Image Processing (2007) Idea Group Publishing .

Kernel methods
Nello Cristianini, John Shawe-Taylor and Craig Saunders
In: Kernel Methods in Bioengineering, Signal and Image Processing (2007) Idea Group Publishing .

Magic Moments for Structured Output Prediction
elisa ricci, Tijl De Bie and Nello Cristianini
Journal of Machine Learning Research Volume 9, pp. 2803-2846, 2008.

ModuleDigger: an itemset mining framework for the detection of cis-regulatory modules
Hong Sun, Tijl De Bie, Valerie Storms, Qiang Fu, Thomas Dhollander, Karen Lemmens, Mieke Verstuyf, Bart De Moor and Kathleen Marchal
BMC Bioinformatics Volume 10, Number S30, 2009.

Integrating Microarray and Proteomics Data to Predict the Response of Cetuximab in Patients with Rectal Cancer
Anneleen Daemen, Olivier Gevaert, Tijl De Bie, Annelies Debucquoy, Jean-Pascal Machiels, Bart De Moor and Karin Haustermans
In: Pacific Symposium on Biocomputing (PSB), Hawaii(2008).

Found in Translation
Marco Turchi, Ilias Flaounas, omar ali, Tijl De Bie and Nello Cristianini
In: ECML/PKDD 2009 (Demo session), 7-11 Sep 2009, Bled.

An Intelligent Agent that Autonomously Learns how to Translate
Marco Turchi, Tijl De Bie and Nello Cristianini
In: WI-IAT 2009, 15-18 Sep 2009, Milano.

Inference and Validation of Networks
Ilias Flaounas, Marco Turchi, Tijl De Bie and Nello Cristianini
In: ECML/PKDD 2009, 7-11 Sep 2009, Bled.

Explicit probabilistic models for databases and networks
Tijl De Bie
(2009) Technical Report. University of Bristol.

Finding interesting itemsets using a probabilistic model for binary databases
Tijl De Bie
(2009) Technical Report. University of Bristol.

Machine Learning with Labeled and Unlabeled Data
Tijl De Bie, Thiago Turchetti Maia and Antonio Braga
In: ESANN 2009, 28-30 April 2009, Bruges, Belgium.

The Condition-Dependent Transcriptional Network in Escherichia coli
Karen Lemmens, Tijl De Bie, Thomas Dhollander, Pieter Monsieurs, Bart De Moor, Julio Collado-Vides, Kristof Engelen and Kathleen Marchal
Annals of the New York Academy of Sciences Volume 1158, Number 1, pp. 29-35, 2009.

Maximum entropy models and subjective interestingness: an application to tiles in binary databases
Tijl De Bie
Data Mining and Knowledge Discovery Volume Online first, 0010.

A Framework for Mining Interesting Pattern Sets
Tijl De Bie, Kleanthis-Nikolaos Kontonasios and Eirini Spyropoulou
SIGKDD Explorations Volume 12, Number 2, 2010.