Yvan Saeys - RankMe

117 papers A* 1A 3B 8C 3Misc 1Journal 65Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Feature subset weighting for distance-based supervised learning. Pattern Recognit. Adnan Theerens, Yvan Saeys, Chris Cornelis
2026	J	`jnl`	Scalable analysis of whole slide spatial proteomics with Harpy. Bioinform. Benjamin Rombaut, Arne Defauw, Frank Vernaillen, Julien Mortier, Evelien Van Hamme, Sofie Van Gassen, Ruth Seurinck, Yvan Saeys
2026	J	`jnl`	Triggering hallucinations in model-based MRI reconstruction via adversarial perturbations. CoRR Suna Bugday, Yvan Saeys, Jonathan Peck
2025	J	`jnl`	Evaluation of out-of-distribution detection methods for data shifts in single-cell transcriptomics. Briefings Bioinform. Lauren Theunissen, Thomas Mortier, Yvan Saeys, Willem Waegeman
2025	J	`jnl`	Feature Subset Weighting for Distance-based Supervised Learning through Choquet Integration. CoRR Adnan Theerens, Yvan Saeys, Chris Cornelis
2025	J	`jnl`	funkyheatmap: Visualising data frames with mixed data types. J. Open Source Softw. Robrecht Cannoodt, Louise Deconinck, Artuur Couckuyt, Nikolay S. Markov, Luke Zappia, Malte D. Lücken, Marta Interlandi, Yvan Saeys, Wouter Saelens
2024	J	`jnl`	An Introduction to Adversarially Robust Deep Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jonathan Peck, Bart Goossens, Yvan Saeys
2024	J	`jnl`	Efficient cytometry analysis with FlowSOM in Python boosts interoperability with other single-cell tools. Bioinform. Artuur Couckuyt, Benjamin Rombaut, Yvan Saeys, Sofie Van Gassen
2024	J	`jnl`	Evaluating feature attribution methods in the image domain. Mach. Learn. Arne Gevaert, Axel-Jan Rousseau, Thijs Becker, Dirk Valkenborg, Tijl De Bie, Yvan Saeys
2024	J	`jnl`	Incorporating Topological Priors Into Low-Dimensional Visualizations Through Topological Regularization. IEEE Access Edith Heiter, Robin Vandaele, Tijl De Bie, Yvan Saeys, Jefrey Lijffijt
2024	—	`conf`	Pattern or Artifact? Interactively Exploring Embedding Quality with TRACE. ECML/PKDD (8) Edith Heiter, Liesbet Martens, Ruth Seurinck, Martin Guilliams, Tijl De Bie, Yvan Saeys, Jefrey Lijffijt
2024	J	`jnl`	Pattern or Artifact? Interactively Exploring Embedding Quality with TRACE. CoRR Edith Heiter, Liesbet Martens, Ruth Seurinck, Martin Guilliams, Tijl De Bie, Yvan Saeys, Jefrey Lijffijt
2024	J	`jnl`	Uncertainty-aware single-cell annotation with a hierarchical reject option. Bioinform. Lauren Theunissen, Thomas Mortier, Yvan Saeys, Willem Waegeman
2024	J	`jnl`	Unifying Attribution-Based Explanations Using Functional Decomposition. CoRR Arne Gevaert, Yvan Saeys
2023	C	`conf`	Efficient Approximation of Asymmetric Shapley Values Using Functional Decomposition. CD-MAKE Arne Gevaert, Anna Saranti, Andreas Holzinger, Yvan Saeys
2023	J	`jnl`	GroupEnc: encoder with group loss for global structure preservation. CoRR David Novak, Sofie Van Gassen, Yvan Saeys
2023	J	`jnl`	Topologically Regularized Data Embeddings. CoRR Edith Heiter, Robin Vandaele, Tijl De Bie, Yvan Saeys, Jefrey Lijffijt
2022	—	`conf`	BioSegment: Active Learning segmentation for 3D electron microscopy imaging. IAL@PKDD/ECML Benjamin Rombaut, Joris Roels, Yvan Saeys
2022	B	`conf`	Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems. FUZZ-IEEE Arne Gevaert, Jonathan Peck, Yvan Saeys
2022	J	`jnl`	Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems. CoRR Arne Gevaert, Jonathan Peck, Yvan Saeys
2022	J	`jnl`	Evaluating Feature Attribution Methods in the Image Domain. CoRR Arne Gevaert, Axel-Jan Rousseau, Thijs Becker, Dirk Valkenborg, Tijl De Bie, Yvan Saeys
2022	J	`jnl`	PDD-SHAP: Fast Approximations for Shapley Values using Functional Decomposition. CoRR Arne Gevaert, Yvan Saeys
2022	A	`conf`	The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data? AISTATS Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys
2022	A*	`conf`	Topologically Regularized Data Embeddings. ICLR Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys
2021	—	`conf`	A study on the calibration of fingerprint classifiers. IEEE BigData Daniel Peralta, Lin Tang, Maxim Lippeveld, Yvan Saeys
2021	J	`jnl`	SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments. Int. J. Comput. Intell. Syst. Francisco J. Baldán, Daniel Peralta, Yvan Saeys, José Manuel Benítez
2021	J	`jnl`	Stable topological signatures for metric trees through graph approximations. Pattern Recognit. Lett. Robin Vandaele, Bastian Rieck, Yvan Saeys, Tijl De Bie
2021	J	`jnl`	The Curse Revisited: a Newly Quantified Concept of Meaningful Distances for Learning from High-Dimensional Noisy Data. CoRR Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys
2021	J	`jnl`	Topologically Regularized Data Embeddings. CoRR Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys
2020	J	`jnl`	Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems. IEEE Access Andres Jesus Sanchez, Luis F. Romero, Daniel Peralta, Miguel Angel Medina-Pérez, Yvan Saeys, Francisco Herrera, Siham Tabik
2020	J	`jnl`	Detecting adversarial manipulation using inductive Venn-ABERS predictors. Neurocomputing Jonathan Peck, Bart Goossens, Yvan Saeys
2020	B	`conf`	Graph Approximations to Geodesics on Metric Graphs. ICPR Robin Vandaele, Yvan Saeys, Tijl De Bie
2020	J	`jnl`	Mining Topological Structure in Graphs through Forest Representations. J. Mach. Learn. Res. Robin Vandaele, Yvan Saeys, Tijl De Bie
2020	J	`jnl`	Regional Image Perturbation Reduces L CoRR Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem
2020	J	`jnl`	Robust unsupervised dimensionality reduction based on feature clustering for single-cell imaging data. Appl. Soft Comput. Daniel Peralta, Yvan Saeys
2020	J	`jnl`	TinGa: fast and flexible trajectory inference with Growing Neural Gas. Bioinform. Helena Todorov, Robrecht Cannoodt, Wouter Saelens, Yvan Saeys
2019	—	`conf`	Calibrated Multi-Probabilistic Prediction as a Defense against Adversarial Attacks. BNAIC/BENELEARN Jonathan Peck, Bart Goossens, Yvan Saeys
2019	—	`conf`	Calibrated Multi-probabilistic Prediction as a Defense Against Adversarial Attacks. BNAIC/BENELEARN (Selected Papers) Jonathan Peck, Bart Goossens, Yvan Saeys
2019	—	`conf`	Classification of Human White Blood Cells Using Machine Learning for Stain-Free Imaging Flow Cytometry. BNAIC/BENELEARN Maxim Lippeveld, Carly Knill, Emma Ladlow, Andrew Fuller, Louise J. Michaelis, Yvan Saeys, Andrew Filby, Daniel Peralta
2019	—	`conf`	Cost-Efficient Segmentation of Electron Microscopy Images Using Active Learning. BNAIC/BENELEARN Joris Roels, Yvan Saeys
2019	J	`jnl`	Cost-efficient segmentation of electron microscopy images using active learning. CoRR Joris Roels, Yvan Saeys
2019	B	`conf`	Detecting adversarial examples with inductive Venn-ABERS predictors. ESANN Jonathan Peck, Bart Goossens, Yvan Saeys
2019	—	`conf`	Distillation of Deep Reinforcement Learning Models Using Fuzzy Inference Systems. BNAIC/BENELEARN Arne Gevaert, Jonathan Peck, Yvan Saeys
2019	—	`conf`	Distributed, Numerically Stable Distance and Covariance Computation with MPI for Extremely Large Datasets. BigData Congress Daniel Peralta, Yvan Saeys
2019	—	`conf`	Domain Adaptive Segmentation In Volume Electron Microscopy Imaging. ISBI Joris Roels, Julian Hennies, Yvan Saeys, Wilfried Philips, Anna Kreshuk
2019	J	`jnl`	Mining the Enriched Subgraphs for Specific Vertices in a Biological Graph. IEEE ACM Trans. Comput. Biol. Bioinform. Pieter Meysman, Yvan Saeys, Ehsan Sabaghian, Wout Bittremieux, Yves Van de Peer, Bart Goethals, Kris Laukens
2019	J	`jnl`	Weight selection strategies for ordered weighted average based fuzzy rough sets. Inf. Sci. Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys
2018	J	`jnl`	Bayesian Deconvolution of Scanning Electron Microscopy Images Using Point-spread Function Estimation and Non-local Regularization. CoRR Joris Roels, Jan Aelterman, Jonas De Vylder, Hiep Luong, Yvan Saeys, Wilfried Philips
2018	J	`jnl`	Convolutional Neural Network Pruning to Accelerate Membrane Segmentation in Electron Microscopy. CoRR Joris Roels, Jonas De Vylder, Jan Aelterman, Yvan Saeys, Wilfried Philips
2018	J	`jnl`	Domain Adaptive Segmentation in Volume Electron Microscopy Imaging. CoRR Joris Roels, Julian Hennies, Yvan Saeys, Wilfried Philips, Anna Kreshuk
2018	J	`jnl`	Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach. Knowl. Inf. Syst. Sarah Vluymans, Alberto Fernández, Yvan Saeys, Chris Cornelis, Francisco Herrera
2018	—	`conf`	Local Topological Data Analysis to Uncover the Global Structure of Data Approaching Graph-Structured Topologies. ECML/PKDD (2) Robin Vandaele, Tijl De Bie, Yvan Saeys
2018	J	`jnl`	Multi-label classification using a fuzzy rough neighborhood consensus. Inf. Sci. Sarah Vluymans, Chris Cornelis, Francisco Herrera, Yvan Saeys
2018	J	`jnl`	On the use of convolutional neural networks for robust classification of multiple fingerprint captures. Int. J. Intell. Syst. Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
2018	J	`jnl`	SpliceRover: interpretable convolutional neural networks for improved splice site prediction. Bioinform. Jasper Zuallaert, Fréderic Godin, Mijung Kim, Arne Soete, Yvan Saeys, Wesley De Neve
2018	J	`jnl`	TISRover: ConvNets learn biologically relevant features for effective translation initiation site prediction. Int. J. Data Min. Bioinform. Jasper Zuallaert, Mijung Kim, Arne Soete, Yvan Saeys, Wesley De Neve
2017	J	`jnl`	ConTra v3: a tool to identify transcription factor binding sites across species, update 2017. Nucleic Acids Res. Lukasz Kreft, Arne Soete, Paco Hulpiau, Alexander Botzki, Yvan Saeys, Pieter J. De Bleser
2017	—	`conf`	Convolutional neural network pruning to accelerate membrane segmentation in electron microscopy. ISBI Joris Roels, Jonas De Vylder, Jan Aelterman, Yvan Saeys, Wilfried Philips
2017	J	`jnl`	Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. Knowl. Based Syst. Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
2017	J	`jnl`	Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints. CoRR Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
2017	J	`jnl`	Interpretable Convolutional Neural Networks for Effective Translation Initiation Site Prediction. CoRR Jasper Zuallaert, Mijung Kim, Yvan Saeys, Wesley De Neve
2017	—	`conf`	Interpretable convolutional neural networks for effective translation initiation site prediction. BIBM Jasper Zuallaert, Mijung Kim, Yvan Saeys, Wesley De Neve
2017	—	`conf`	Lower bounds on the robustness to adversarial perturbations. NIPS Jonathan Peck, Joris Roels, Bart Goossens, Yvan Saeys
2016	—	`conf`	Bayesian deconvolution of scanning electron microscopy images using point-spread function estimation and non-local regularization. EMBC Joris Roels, Jan Aelterman, Jonas De Vylder, Hiêp Quang Luong, Yvan Saeys, Wilfried Philips
2016	B	`conf`	Decreasing Time Consumption of Microscopy Image Segmentation Through Parallel Processing on the GPU. ACIVS Joris Roels, Jonas De Vylder, Yvan Saeys, Bart Goossens, Wilfried Philips
2016	J	`jnl`	EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data. Neurocomputing Sarah Vluymans, Isaac Triguero, Chris Cornelis, Yvan Saeys
2016	J	`jnl`	Fuzzy Multi-Instance Classifiers. IEEE Trans. Fuzzy Syst. Sarah Vluymans, Dánel Sánchez Tarragó, Yvan Saeys, Chris Cornelis, Francisco Herrera
2016	J	`jnl`	Fuzzy rough classifiers for class imbalanced multi-instance data. Pattern Recognit. Sarah Vluymans, Dánel Sánchez Tarragó, Yvan Saeys, Chris Cornelis, Francisco Herrera
2016	B	`conf`	Fuzzy rough sets for self-labelling: An exploratory analysis. FUZZ-IEEE Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys
2016	J	`jnl`	Improving nearest neighbor classification using Ensembles of Evolutionary Generated Prototype Subsets. Appl. Soft Comput. Nele Verbiest, Sarah Vluymans, Chris Cornelis, Nicolás García-Pedrajas, Yvan Saeys
2016	—	`conf`	Machine Learning Challenges for Single Cell Data. ECML/PKDD (3) Sofie Van Gassen, Tom Dhaene, Yvan Saeys
2016	J	`jnl`	Netter: re-ranking gene network inference predictions using structural network properties. BMC Bioinform. Joeri Ruyssinck, Piet Demeester, Tom Dhaene, Yvan Saeys
2015	J	`jnl`	Applications of Fuzzy Rough Set Theory in Machine Learning: a Survey. Fundam. Informaticae Sarah Vluymans, Lynn D'eer, Yvan Saeys, Chris Cornelis
2015	—	`conf`	Distributed fuzzy rough prototype selection for Big Data regression. NAFIPS/WConSC Sarah Vluymans, Hasan Asfoor, Yvan Saeys, Chris Cornelis, Matthew E. Tolentino, Ankur Teredesai, Martine De Cock
2015	B	`conf`	Evolutionary undersampling for imbalanced big data classification. CEC Isaac Triguero, Mikel Galar, Sarah Vluymans, Chris Cornelis, Humberto Bustince, Francisco Herrera, Yvan Saeys
2015	B	`conf`	Fuzzy Rough Set Prototype Selection for Regression. FUZZ-IEEE Sarah Vluymans, Yvan Saeys, Chris Cornelis, Ankur Teredesai, Martine De Cock
2015	—	`conf`	Semi-Supervised Fuzzy-Rough Feature Selection. RSFDGrC Richard Jensen, Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys
2015	—	`conf`	Unsupervised Trajectory Inference Using Graph Mining. CIBB Leen De Baets, Sofie Van Gassen, Tom Dhaene, Yvan Saeys
2014	B	`conf`	Complex Aggregates over Clusters of Elements. ILP Celine Vens, Sofie Van Gassen, Tom Dhaene, Yvan Saeys
2014	—	`conf`	Noise Analysis and Removal in 3D Electron Microscopy. ISVC (1) Joris Roels, Jan Aelterman, Jonas De Vylder, Hiêp Quang Luong, Yvan Saeys, Saskia Lippens, Wilfried Philips
2012	—	`conf`	SBFC: An Efficient Feature Frequency-Based Approach to Tackle Cross-Lingual Word Sense Disambiguation. TSD Dieter Mourisse, Els Lefever, Nele Verbiest, Yvan Saeys, Martine De Cock, Chris Cornelis
2012	J	`jnl`	Statistical interpretation of machine learning-based feature importance scores for biomarker discovery. Bioinform. Vân Anh Huynh-Thu, Yvan Saeys, Louis Wehenkel, Pierre Geurts
2011	J	`jnl`	A greedy, graph-based algorithm for the alignment of multiple homologous gene lists. Bioinform. Jan Fostier, Sebastian Proost, Bart Dhoedt, Yvan Saeys, Piet Demeester, Yves Van de Peer, Klaas Vandepoele
2011	Misc	`conf`	An alternative approach to avoid overfitting for surrogate models. WSC Huu Minh Nguyen, Ivo Couckuyt, Luc Knockaert, Tom Dhaene, Dirk Gorissen, Yvan Saeys
2011	J	`jnl`	High-Precision Bio-molecular Event Extraction from Text Using Parallel Binary Classifiers. Comput. Intell. Sofie Van Landeghem, Bernard De Baets, Yves Van de Peer, Yvan Saeys
2011	J	`jnl`	Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms. IEEE ACM Trans. Comput. Biol. Bioinform. Rubén Armañanzas, Yvan Saeys, Iñaki Inza, Miguel García-Torres, Concha Bielza, Yves Van de Peer, Pedro Larrañaga
2010	J	`jnl`	Discriminative and informative features for biomolecular text mining with ensemble feature selection. Bioinform. Sofie Van Landeghem, Thomas Abeel, Yvan Saeys, Yves Van de Peer
2010	—	`conf`	Event based text mining for integrated network construction. MLSB Yvan Saeys, Sofie Van Landeghem, Yves Van de Peer
2010	J	`jnl`	Highlights of the BioTM 2010 workshop on advances in bio text mining. BMC Bioinform. Thomas Abeel, Sofie Van Landeghem, Roser Morante, Vincent Van Asch, Yves Van de Peer, Walter Daelemans, Yvan Saeys
2010	J	`jnl`	Robust biomarker identification for cancer diagnosis with ensemble feature selection methods. Bioinform. Thomas Abeel, Thibault Helleputte, Yves Van de Peer, Pierre Dupont, Yvan Saeys
2010	A	`conf`	Towards an ASR-free objective analysis of pathological speech. INTERSPEECH Catherine Middag, Yvan Saeys, Jean-Pierre Martens
2009	—	`conf`	Analyzing text in search of bio-molecular events: a high-precision machine learning framework. BioNLP@HLT-NAACL (Shared Task) Sofie Van Landeghem, Yvan Saeys, Bernard De Baets, Yves Van de Peer
2009	J	`jnl`	Java-ML: A Machine Learning Library. J. Mach. Learn. Res. Thomas Abeel, Yves Van de Peer, Yvan Saeys
2009	J	`jnl`	Toward a gold standard for promoter prediction evaluation. Bioinform. Thomas Abeel, Yves Van de Peer, Yvan Saeys
2009	—	`conf`	Valued Constraint Satisfaction Problems Applied to Functional Harmony. IFSA/EUSFLAT Conf. Nele Verbiest, Chris Cornelis, Yvan Saeys
2008	J	`jnl`	A review of estimation of distribution algorithms in bioinformatics. BioData Min. 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
2008	—	`conf`	Comparing Distance Measures with Visual Methods. MICAI Isis Bonet, Abdel Rodríguez, Ricardo Grau Ábalo, María M. García, Yvan Saeys, Ann Nowé
2008	J	`jnl`	FunSiP: a modular and extensible classifier for the prediction of functional sites in DNA. Bioinform. Michiel Van Bel, Yvan Saeys, Yves Van de Peer
2008	—	`conf`	Preface. FSDM Yvan Saeys, Huan Liu, Iñaki Inza, Louis Wehenkel, Yves Van de Peer
2008	A	`conf`	ProSOM: core promoter prediction based on unsupervised clustering of DNA physical profiles. ISMB Thomas Abeel, Yvan Saeys, Pierre Rouzé, Yves Van de Peer
2008	—	`conf`	Robust Feature Selection Using Ensemble Feature Selection Techniques. ECML/PKDD (2) Yvan Saeys, Thomas Abeel, Yves Van de Peer
2008	—	`ed.`	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 FSDM Yvan Saeys, Huan Liu, Iñaki Inza, Louis Wehenkel, Yves Van de Peer
2007	J	`jnl`	A review of feature selection techniques in bioinformatics. Bioinform. Yvan Saeys, Iñaki Inza, Pedro Larrañaga
2007	J	`jnl`	In search of the small ones: improved prediction of short exons in vertebrates, plants, fungi and protists. Bioinform. Yvan Saeys, Pierre Rouzé, Yves Van de Peer
2007	—	`ed.`	Knowledge Discovery and Emergent Complexity in Bioinformatics, First International Workshop, KDECB 2006, Ghent, Belgium, May 10, 2006. Revised Selected Papers KDECB Karl Tuyls, Ronald L. Westra, Yvan Saeys, Ann Nowé
2007	—	`conf`	Predicting Human Immunodeficiency Virus (HIV) Drug Resistance Using Recurrent Neural Networks. IWINAC (1) Isis Bonet, María M. García, Yvan Saeys, Yves Van de Peer, Ricardo Grau Ábalo
2007	—	`conf`	Translation initiation site prediction on a genomic scale: beauty in simplicity. ISMB/ECCB (Supplement of Bioinformatics) Yvan Saeys, Thomas Abeel, Sven Degroeve, Yves Van de Peer
2007	J	`jnl`	Validating module network learning algorithms using simulated data. BMC Bioinform. 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
2006	—	`conf`	Enhancing Coding Potential Prediction for Short Sequences Using Complementary Sequence Features and Feature Selection. KDECB Yvan Saeys, Yves Van de Peer
2006	C	`conf`	Feature Extraction Using Clustering of Protein. CIARP Isis Bonet, Yvan Saeys, Ricardo Grau Ábalo, María M. García, Robersy Sanchez, Yves Van de Peer
2006	—	`ch.`	Feature Ranking Using an EDA-based Wrapper Approach. Towards a New Evolutionary Computation Yvan Saeys, Sven Degroeve, Yves Van de Peer
2006	—	`conf`	Knowledge Discovery and Emergent Complexity in Bioinformatics. KDECB Ronald L. Westra, Karl Tuyls, Yvan Saeys, Ann Nowé
2006	—	`conf`	Scalable hardware accelerator for comparing DNA and protein sequences. Infoscale Philippe Faes, Bram Minnaert, Mark Christiaens, Eric Bonnet, Yvan Saeys, Dirk Stroobandt, Yves Van de Peer
2005	J	`jnl`	SpliceMachine: predicting splice sites from high-dimensional local context representations. Bioinform. Sven Degroeve, Yvan Saeys, Bernard De Baets, Pierre Rouzé, Yves Van de Peer
2004	—	`conf`	Digging into Acceptor Splice Site Prediction: An Iterative Feature Selection Approach. PKDD Yvan Saeys, Sven Degroeve, Yves Van de Peer
2004	J	`jnl`	Feature selection for splice site prediction: A new method using EDA-based feature ranking. BMC Bioinform. Yvan Saeys, Sven Degroeve, Dirk Aeyels, Pierre Rouzé, Yves Van de Peer
2003	C	`conf`	Fast feature selection using a simple estimation of distribution algorithm: a case study on splice site prediction. ECCB Yvan Saeys, Sven Degroeve, Dirk Aeyels, Yves Van de Peer, Pierre Rouzé