Yvan Saeys - Citegraph

Author Info

Name	Affiliation	Papers
YVAN SAEYS	Department of Plant Systems Biology, Ghent University, Flanders Interuniversity Institute for Biotechnology (VIB), Technologiepark 927, B-9052 Ghent, Belgium	71
Collaborators	Citations	PageRank
130	1981	87.58
Referers	Referees	References
5353	1888	960

Search Limit

1001000

Publications (71 rows)

Collaborators (100 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems	0	0.34	2022
The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data?	0	0.34	2022
Stable Topological Signatures For Metric Trees Through Graph Approximations & Nbsp;	0	0.34	2021
TinGa: fast and flexible trajectory inference with Growing Neural Gas.	0	0.34	2020
Robust unsupervised dimensionality reduction based on feature clustering for single-cell imaging data.	1	0.35	2020
Detecting adversarial manipulation using inductive Venn-ABERS predictors	0	0.34	2020
Mining Topological Structure In Graphs Through Forest Representations	0	0.34	2020
Graph Approximations To Geodesics On Metric Graphs	0	0.34	2020
Distillation of Deep Reinforcement Learning Models Using Fuzzy Inference Systems.	0	0.34	2019
Cost-Efficient Segmentation of Electron Microscopy Images Using Active Learning.	0	0.34	2019
Classification of Human White Blood Cells Using Machine Learning for Stain-Free Imaging Flow Cytometry.	1	0.35	2019
Weight Selection Strategies for Ordered Weighted Average Based Fuzzy Rough Sets	3	0.38	2019
Calibrated Multi-Probabilistic Prediction as a Defense against Adversarial Attacks.	0	0.34	2019
Mining the Enriched Subgraphs for Specific Vertices in a Biological Graph.	0	0.34	2019
Detecting adversarial examples with inductive Venn-ABERS predictors	0	0.34	2019
Distributed, Numerically Stable Distance and Covariance Computation with MPI for Extremely Large Datasets	0	0.34	2019
SpliceRover: Interpretable Convolutional Neural: Networks for Improved Splice Site Prediction.	1	0.36	2018
Bayesian deconvolution of scanning electron microscopy images using point-spread function estimation and non-local regularization.	0	0.34	2018
Multi-label classification using a fuzzy rough neighborhood consensus.	5	0.39	2018
On The Use Of Convolutional Neural Networks For Robust Classification Of Multiple Fingerprint Captures	5	0.41	2018
Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach.	9	0.44	2018
Tisrover: Convnets Learn Biologically Relevant Features For Effective Translation Initiation Site Prediction	0	0.34	2018
ConTra v3: a tool to identify transcription factor binding sites across species, update 2017.	0	0.34	2017
Interpretable Convolutional Neural Networks For Effective Translation Initiation Site Prediction	0	0.34	2017
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints.	0	0.34	2017
Lower bounds on the robustness to adversarial perturbations.	7	0.52	2017
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection.	7	0.48	2017
Decreasing Time Consumption of Microscopy Image Segmentation Through Parallel Processing on the GPU.	0	0.34	2016
Fuzzy rough classifiers for class imbalanced multi-instance data.	11	0.47	2016
Netter: re-ranking gene network inference predictions using structural network properties.	2	0.35	2016
Improving nearest neighbor classification using Ensembles of Evolutionary Generated Prototype Subsets.	4	0.38	2016
Fuzzy Rough Sets For Self-Labelling: An Exploratory Analysis	0	0.34	2016
Machine Learning Challenges for Single Cell Data.	0	0.34	2016
EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data.	2	0.36	2016
Fuzzy Multi-Instance Classifiers.	1	0.35	2016
Evolutionary Undersampling For Imbalanced Big Data Classification	4	0.39	2015
Unsupervised Trajectory Inference Using Graph Mining.	0	0.34	2015
Distributed fuzzy rough prototype selection for Big Data regression	0	0.34	2015
Applications of Fuzzy Rough Set Theory in Machine Learning: a Survey.	15	0.59	2015
Noise Analysis and Removal in 3D Electron Microscopy.	1	0.43	2014
SBFC: An Efficient Feature Frequency-Based Approach to Tackle Cross-Lingual Word Sense Disambiguation.	0	0.34	2012
Statistical interpretation of machine learning-based feature importance scores for biomarker discovery	11	0.63	2012
A greedy, graph-based algorithm for the alignment of multiple homologous gene lists.	3	0.54	2011
High-Precision Bio-molecular Event Extraction from Text Using Parallel Binary Classifiers.	5	0.44	2011
Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms	15	0.61	2011
Highlights of the BioTM 2010 workshop on advances in bio text mining	14	0.59	2010
Robust biomarker identification for cancer diagnosis with ensemble feature selection methods.	137	4.12	2010
Discriminative and informative features for biomolecular text mining with ensemble feature selection	12	0.53	2010
Event based text mining for integrated network construction	0	0.34	2010
Valued Constraint Satisfaction Problems Applied To Functional Harmony	0	0.34	2009

1
2
50 / page