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Tijl De Bie
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CAFE: a computational tool for the study of gene family evolution
T De Bie, N Cristianini, JP Demuth, MW Hahn
Bioinformatics 22 (10), 1269-1271, 2006
14932006
A statistical framework for genomic data fusion
GRG Lanckriet, T De Bie, N Cristianini, MI Jordan, WS Noble
Bioinformatics 20 (16), 2626-2635, 2004
9202004
FACE: feasible and actionable counterfactual explanations
R Poyiadzi, K Sokol, R Santos-Rodriguez, T De Bie, P Flach
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 344-350, 2020
4332020
The evolution of mammalian gene families
JP Demuth, TD Bie, JE Stajich, N Cristianini, MW Hahn
PloS one 1 (1), e85, 2006
3922006
Flu detector-tracking epidemics on Twitter
V Lampos, T De Bie, N Cristianini
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010
3682010
Estimating the tempo and mode of gene family evolution from comparative genomic data
MW Hahn, T De Bie, JE Stajich, C Nguyen, N Cristianini
Genome Research 15 (8), 1153-1160, 2005
3362005
Eigenproblems in pattern recognition
T De Bie, N Cristianini, R Rosipal
Handbook of Geometric Computing, 129-167, 2005
209*2005
Kernel-based data fusion for gene prioritization
T De Bie, LC Tranchevent, LMM van Oeffelen, Y Moreau
Bioinformatics 23 (13), i125-i132, 2007
1922007
Maximum entropy models and subjective interestingness: an application to tiles in binary databases
T De Bie
Data Mining and Knowledge Discovery, 1-40, 2011
1852011
Convex methods for transduction
T De Bie, N Cristianini
Advances in neural information processing systems 16: proceedings of the …, 2004
170*2004
Inferring transcriptional modules from ChIP-chip, motif and microarray data
K Lemmens, T Dhollander, T De Bie, P Monsieurs, K Engelen, B Smets, ...
Genome biology 7 (5), R37, 2006
1362006
Research methods in the age of digital journalism: Massive-scale automated analysis of news-content—topics, style and gender
I Flaounas, O Ali, T Lansdall-Welfare, T De Bie, N Mosdell, J Lewis, ...
Digital journalism 1 (1), 102-116, 2013
135*2013
An information theoretic framework for data mining
T De Bie
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
1352011
Automatic chord estimation from audio: A review of the state of the art
M McVicar, R Santos-Rodríguez, Y Ni, T De Bie
IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (2), 556-575, 2014
1172014
An end-to-end machine learning system for harmonic analysis of music
Y Ni, M Mcvicar, R Santos-Rodriguez, T De Bie
IEEE Transactions on Audio, Speech, and Language Processing 20 (6), 2012
1002012
Subjective interestingness in exploratory data mining
T De Bie
International Symposium on Intelligent Data Analysis, 19-31, 2013
882013
Hit song science once again a science
Y Ni, R Santos-Rodriguez, M Mcvicar, T De Bie
4th International Workshop on Machine Learning and Music, 2011
852011
Debayes: a bayesian method for debiasing network embeddings
M Buyl, T De Bie
International Conference on Machine Learning, 1220-1229, 2020
842020
MINI: Mining informative non-redundant itemsets
A Gallo, T De Bie, N Cristianini
Knowledge Discovery in Databases: PKDD 2007, 438-445, 2007
772007
Semi-supervised learning using semi-definite programming
T De Bie, N Cristianini
Semi-supervised learning. MIT Press, Cambridge-Massachussets, 2006
772006
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