Yvan Saeys
Orcid: 0000-0002-0415-1506
According to our database1,
Yvan Saeys
authored at least 94 papers
between 2003 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on psb.ugent.be
On csauthors.net:
Bibliography
2024
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024
2023
Proceedings of the Machine Learning and Knowledge Extraction, 2023
2022
CoRR, 2022
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2022), 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022
The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data?
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Pattern Recognit. Lett., 2021
SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments.
Int. J. Comput. Intell. Syst., 2021
The Curse Revisited: a Newly Quantified Concept of Meaningful Distances for Learning from High-Dimensional Noisy Data.
CoRR, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
J. Mach. Learn. Res., 2020
Neurocomputing, 2020
Regional Image Perturbation Reduces L<sub>p</sub> Norms of Adversarial Examples While Maintaining Model-to-model Transferability.
CoRR, 2020
Bioinform., 2020
Robust unsupervised dimensionality reduction based on feature clustering for single-cell imaging data.
Appl. Soft Comput., 2020
Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems.
IEEE Access, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Inf. Sci., 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019
Classification of Human White Blood Cells Using Machine Learning for Stain-Free Imaging Flow Cytometry.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019
Distributed, Numerically Stable Distance and Covariance Computation with MPI for Extremely Large Datasets.
Proceedings of the 2019 IEEE International Congress on Big Data, 2019
2018
Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach.
Knowl. Inf. Syst., 2018
Inf. Sci., 2018
On the use of convolutional neural networks for robust classification of multiple fingerprint captures.
Int. J. Intell. Syst., 2018
TISRover: ConvNets learn biologically relevant features for effective translation initiation site prediction.
Int. J. Data Min. Bioinform., 2018
SpliceRover: interpretable convolutional neural networks for improved splice site prediction.
Bioinform., 2018
Local Topological Data Analysis to Uncover the Global Structure of Data Approaching Graph-Structured Topologies.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
2017
ConTra v3: a tool to identify transcription factor binding sites across species, update 2017.
Nucleic Acids Res., 2017
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection.
Knowl. Based Syst., 2017
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints.
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Convolutional neural network pruning to accelerate membrane segmentation in electron microscopy.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Interpretable convolutional neural networks for effective translation initiation site prediction.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Pattern Recognit., 2016
EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data.
Neurocomputing, 2016
Netter: re-ranking gene network inference predictions using structural network properties.
BMC Bioinform., 2016
Improving nearest neighbor classification using Ensembles of Evolutionary Generated Prototype Subsets.
Appl. Soft Comput., 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
Bayesian deconvolution of scanning electron microscopy images using point-spread function estimation and non-local regularization.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Decreasing Time Consumption of Microscopy Image Segmentation Through Parallel Processing on the GPU.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2016
2015
Fundam. Informaticae, 2015
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014
Proceedings of the Inductive Logic Programming - 24th International Conference, 2014
2012
Statistical interpretation of machine learning-based feature importance scores for biomarker discovery.
Bioinform., 2012
SBFC: An Efficient Feature Frequency-Based Approach to Tackle Cross-Lingual Word Sense Disambiguation.
Proceedings of the Text, Speech and Dialogue - 15th International Conference, 2012
2011
Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
High-Precision Bio-molecular Event Extraction from Text Using Parallel Binary Classifiers.
Comput. Intell., 2011
Bioinform., 2011
Proceedings of the Winter Simulation Conference 2011, 2011
2010
Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010
BMC Bioinform., 2010
Discriminative and informative features for biomolecular text mining with ensemble feature selection.
Bioinform., 2010
Robust biomarker identification for cancer diagnosis with ensemble feature selection methods.
Bioinform., 2010
Proceedings of the INTERSPEECH 2010, 2010
2009
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
Analyzing text in search of bio-molecular events: a high-precision machine learning framework.
Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task, BioNLP@HLT-NAACL 2009, 2009
2008
Proceedings of the Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, 2008
FunSiP: a modular and extensible classifier for the prediction of functional sites in DNA.
Bioinform., 2008
BioData Min., 2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008
ProSOM: core promoter prediction based on unsupervised clustering of DNA physical profiles.
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008
2007
BMC Bioinform., 2007
In search of the small ones: improved prediction of short exons in vertebrates, plants, fungi and protists.
Bioinform., 2007
Predicting Human Immunodeficiency Virus (HIV) Drug Resistance Using Recurrent Neural Networks.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007
2006
Proceedings of the Knowledge Discovery and Emergent Complexity in Bioinformatics, 2006
Enhancing Coding Potential Prediction for Short Sequences Using Complementary Sequence Features and Feature Selection.
Proceedings of the Knowledge Discovery and Emergent Complexity in Bioinformatics, 2006
Proceedings of the 1st International Conference on Scalable Information Systems, 2006
Proceedings of the Progress in Pattern Recognition, 2006
Proceedings of the Towards a New Evolutionary Computation, 2006
2005
SpliceMachine: predicting splice sites from high-dimensional local context representations.
Bioinform., 2005
2004
Feature selection for splice site prediction: A new method using EDA-based feature ranking.
BMC Bioinform., 2004
Digging into Acceptor Splice Site Prediction: An Iterative Feature Selection Approach.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004
2003
Fast feature selection using a simple estimation of distribution algorithm: a case study on splice site prediction.
Proceedings of the European Conference on Computational Biology (ECCB 2003), 2003