Tijl De Bie

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Nello CristianiniUniversity of BathVerified email at bath.ac.uk
Jefrey LijffijtProfessor of Data Science, Knowledge Discovery, and Visual AnalyticsVerified email at ugent.be
Raúl Santos-RodríguezUniversity of BristolVerified email at bristol.ac.uk
Bo KangGhent UniversityVerified email at ugent.be
Matt McVicarAppleVerified email at apple.com
De Moor BartKU Leuven ESAT-StadiusVerified email at esat.kuleuven.be
Eirini SpyropoulouNCSR, DemokritosVerified email at iit.demokritos.gr
Ilias FlaounasGoogleVerified email at google.com
Yizhao NIKaiser PermanenteVerified email at kp.org
Marco TurchiZoom Video CommunicationsVerified email at zoom.us
Matthew W. HahnDistinguished Professor of Biology and Computer Science, Indiana UniversityVerified email at indiana.edu
Jeff DemuthAssociate Professor of Biology, The University of Texas at ArlingtonVerified email at uta.edu
Omar AliPalantir TechnologiesVerified email at palantir.com
Gert LanckrietProfessor, UCSDVerified email at eng.ucsd.edu
Kleanthis-Nikolaos (Akis) KontonasiosBEATVerified email at thebeat.co
Alexandru Cristian MaraGhent UniversityVerified email at ugent.be
Rafael PoyiadzisUniversity of BristolVerified email at bristol.ac.uk
Vasileios LamposAssociate Professor, Department of Computer Science, University College LondonVerified email at ucl.ac.uk
William Stafford NobleProfessor of Genome Sciences, University of WashingtonVerified email at uw.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu

Tijl De Bie

Full Professor, Ghent University

Verified email at ugent.be - Homepage

data science artificial intelligence data visualization machine learning AI for the labor market


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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	1252	2006
A statistical framework for genomic data fusion GRG Lanckriet, T De Bie, N Cristianini, MI Jordan, WS Noble Bioinformatics 20 (16), 2626-2635, 2004	901	2004
Support vector machines N Cristianini, T De Bie Hodder Arnold, 2005	863	2005
The evolution of mammalian gene families JP Demuth, TD Bie, JE Stajich, N Cristianini, MW Hahn PloS one 1 (1), e85, 2006	369	2006
Flu detector-tracking epidemics on Twitter V Lampos, T De Bie, N Cristianini Joint European conference on machine learning and knowledge discovery in …, 2010	345	2010
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	305	2005
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	268	2020
Eigenproblems in pattern recognition T De Bie, N Cristianini, R Rosipal Handbook of Geometric Computing, 129-167, 2005	196*	2005
Kernel-based data fusion for gene prioritization T De Bie, LC Tranchevent, LMM van Oeffelen, Y Moreau Bioinformatics 23 (13), i125-i132, 2007	191	2007
Maximum entropy models and subjective interestingness: an application to tiles in binary databases T De Bie Data Mining and Knowledge Discovery, 1-40, 2011	167	2011
Convex methods for transduction T De Bie, N Cristianini Advances in neural information processing systems 16: proceedings of the …, 2004	165*	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	137	2006
An information theoretic framework for data mining T De Bie Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	130	2011
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	121*	2013
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	106	2014
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	92	2012
MINI: Mining informative non-redundant itemsets A Gallo, T De Bie, N Cristianini Knowledge Discovery in Databases: PKDD 2007, 438-445, 2007	77	2007
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	76	2011
Subjective interestingness in exploratory data mining T De Bie International Symposium on Intelligent Data Analysis, 19-31, 2013	75	2013
Fast SDP relaxations of graph cut clustering, transduction, and other combinatorial problems T De Bie, N Cristianini The Journal of Machine Learning Research 7, 1409-1436, 2006	73	2006

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