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Yves Van de Peer
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Publications
- 2019
- [j60]Pieter Meysman, Yvan Saeys, Ehsan Sabaghian, Wout Bittremieux, Yves Van de Peer, Bart Goethals, Kris Laukens:
Mining the Enriched Subgraphs for Specific Vertices in a Biological Graph. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1496-1507 (2019) - 2011
- [j45]Jan Fostier, Sebastian Proost, Bart Dhoedt, Yvan Saeys, Piet Demeester, Yves Van de Peer, Klaas Vandepoele:
A greedy, graph-based algorithm for the alignment of multiple homologous gene lists. Bioinform. 27(6): 749-756 (2011) - [j42]Sofie Van Landeghem, Bernard De Baets, Yves Van de Peer, Yvan Saeys:
High-Precision Bio-molecular Event Extraction from Text Using Parallel Binary Classifiers. Comput. Intell. 27(4): 645-664 (2011) - [j41]Rubén Armañanzas, Yvan Saeys, Iñaki Inza, Miguel García-Torres, Concha Bielza, Yves Van de Peer, Pedro Larrañaga:
Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms. IEEE ACM Trans. Comput. Biol. Bioinform. 8(3): 760-774 (2011) - 2010
- [j40]Thomas Abeel, Thibault Helleputte, Yves Van de Peer, Pierre Dupont, Yvan Saeys:
Robust biomarker identification for cancer diagnosis with ensemble feature selection methods. Bioinform. 26(3): 392-398 (2010) - [j37]Sofie Van Landeghem, Thomas Abeel, Yvan Saeys, Yves Van de Peer:
Discriminative and informative features for biomolecular text mining with ensemble feature selection. Bioinform. 26(18) (2010) - [j36]Thomas Abeel, Sofie Van Landeghem, Roser Morante, Vincent Van Asch, Yves Van de Peer, Walter Daelemans, Yvan Saeys:
Highlights of the BioTM 2010 workshop on advances in bio text mining. BMC Bioinform. 11(S-5): I1 (2010) - [c14]Yvan Saeys, Sofie Van Landeghem, Yves Van de Peer:
Event based text mining for integrated network construction. MLSB 2010: 112-121 - 2009
- [j34]Thomas Abeel, Yves Van de Peer, Yvan Saeys:
Toward a gold standard for promoter prediction evaluation. Bioinform. 25(12) (2009) - [j32]Thomas Abeel, Yves Van de Peer, Yvan Saeys:
Java-ML: A Machine Learning Library. J. Mach. Learn. Res. 10: 931-934 (2009) - [c13]Sofie Van Landeghem, Yvan Saeys, Bernard De Baets, Yves Van de Peer:
Analyzing text in search of bio-molecular events: a high-precision machine learning framework. BioNLP@HLT-NAACL (Shared Task) 2009: 128-136 - 2008
- [j31]Rubén Armañanzas, Iñaki Inza, Roberto Santana, Yvan Saeys, Jose Luis Flores, José Antonio Lozano, Yves Van de Peer, Rosa Blanco, Víctor Robles, Concha Bielza, Pedro Larrañaga:
A review of estimation of distribution algorithms in bioinformatics. BioData Min. 1 (2008) - [j27]Michiel Van Bel, Yvan Saeys, Yves Van de Peer:
FunSiP: a modular and extensible classifier for the prediction of functional sites in DNA. Bioinform. 24(13): 1532-1533 (2008) - [c11]Thomas Abeel, Yvan Saeys, Pierre Rouzé, Yves Van de Peer:
ProSOM: core promoter prediction based on unsupervised clustering of DNA physical profiles. ISMB 2008: 24-31 - [c10]Yvan Saeys, Thomas Abeel, Yves Van de Peer:
Robust Feature Selection Using Ensemble Feature Selection Techniques. ECML/PKDD (2) 2008: 313-325 - [c9]Yvan Saeys, Huan Liu, Iñaki Inza, Louis Wehenkel, Yves Van de Peer:
Preface. FSDM 2008: 1-4 - [e1]Yvan Saeys, Huan Liu, Iñaki Inza, Louis Wehenkel, Yves Van de Peer:
Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, FSDM 2008, held at ECML-PKDD 2008, Antwerp, Belgium, September 15, 2008. JMLR Proceedings 4, JMLR.org 2008 [contents] - 2007
- [j26]Yvan Saeys, Pierre Rouzé, Yves Van de Peer:
In search of the small ones: improved prediction of short exons in vertebrates, plants, fungi and protists. Bioinform. 23(4): 414-420 (2007) - [j24]Tom Michoel, Steven Maere, Eric Bonnet, Anagha Joshi, Yvan Saeys, Tim Van den Bulcke, Koenraad Van Leemput, Piet van Remortel, Martin Kuiper, Kathleen Marchal, Yves Van de Peer:
Validating module network learning algorithms using simulated data. BMC Bioinform. 8(S-2) (2007) - [c8]Yvan Saeys, Thomas Abeel, Sven Degroeve, Yves Van de Peer:
Translation initiation site prediction on a genomic scale: beauty in simplicity. ISMB/ECCB (Supplement of Bioinformatics) 2007: 418-423 - [c7]Isis Bonet, María M. García, Yvan Saeys, Yves Van de Peer, Ricardo Grau Ábalo:
Predicting Human Immunodeficiency Virus (HIV) Drug Resistance Using Recurrent Neural Networks. IWINAC (1) 2007: 234-243 - 2006
- [c6]Isis Bonet, Yvan Saeys, Ricardo Grau Ábalo, María M. García, Robersy Sanchez, Yves Van de Peer:
Feature Extraction Using Clustering of Protein. CIARP 2006: 614-623 - [c5]Philippe Faes, Bram Minnaert, Mark Christiaens, Eric Bonnet, Yvan Saeys, Dirk Stroobandt, Yves Van de Peer:
Scalable hardware accelerator for comparing DNA and protein sequences. Infoscale 2006: 33 - [c4]Yvan Saeys, Yves Van de Peer:
Enhancing Coding Potential Prediction for Short Sequences Using Complementary Sequence Features and Feature Selection. KDECB 2006: 107-118 - [p1]Yvan Saeys, Sven Degroeve, Yves Van de Peer:
Feature Ranking Using an EDA-based Wrapper Approach. Towards a New Evolutionary Computation 2006: 243-257 - 2005
- [j23]Sven Degroeve, Yvan Saeys, Bernard De Baets, Pierre Rouzé, Yves Van de Peer:
SpliceMachine: predicting splice sites from high-dimensional local context representations. Bioinform. 21(8): 1332-1338 (2005) - 2004
- [j21]Yvan Saeys, Sven Degroeve, Dirk Aeyels, Pierre Rouzé, Yves Van de Peer:
Feature selection for splice site prediction: A new method using EDA-based feature ranking. BMC Bioinform. 5: 64 (2004) - [c3]Yvan Saeys, Sven Degroeve, Yves Van de Peer:
Digging into Acceptor Splice Site Prediction: An Iterative Feature Selection Approach. PKDD 2004: 386-397 - 2003
- [c2]Yvan Saeys, Sven Degroeve, Dirk Aeyels, Yves Van de Peer, Pierre Rouzé:
Fast feature selection using a simple estimation of distribution algorithm: a case study on splice site prediction. ECCB 2003: 179-188
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