Yves Moreau

Orcid: 0000-0002-4647-6560

Affiliations:
  • Catholic University of Leuven, Belgium


According to our database1, Yves Moreau authored at least 130 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Smoothing unadjusted Langevin algorithms for nonsmooth composite potential functions.
Appl. Math. Comput., March, 2024

MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information.
J. Chem. Inf. Model., 2024

JINet: easy and secure private data analysis for everyone.
CoRR, 2024

Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity Models.
CoRR, 2024

Unlocking the Power of Real-World Data: A Framework for Sustainable Healthcare.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Model Based Clustering of Time Series Utilizing Expert ODEs.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Atom-Level Optical Chemical Structure Recognition with Limited Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
How good Neural Networks interpretation methods really are? A quantitative benchmark.
CoRR, 2023

Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023


2022
Editorial: Towards genome interpretation: Computational methods to model the genotype-phenotype relationship.
Frontiers Bioinform., 2022

Industry-Scale Orchestrated Federated Learning for Drug Discovery.
CoRR, 2022

SparseChem: Fast and accurate machine learning model for small molecules.
CoRR, 2022

Corrigendum to Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression: [Computer Methods and Programs in Biomedicine, Volume 208, (September 2021) 106180].
Comput. Methods Programs Biomed., 2022

Fast and accurate inference of gene regulatory networks through robust precision matrix estimation.
Bioinform., 2022

Augmenting THerapeutic Effectiveness Through Novel Analytics (ATHENA) - A Public and Private Partnership Project Funded by the Flemish Government (VLAIO).
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Topological Graph Neural Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Two-level preconditioning for Ridge Regression.
Numer. Linear Algebra Appl., 2021

Splitting chemical structure data sets for federated privacy-preserving machine learning.
J. Cheminformatics, 2021

Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression.
Comput. Methods Programs Biomed., 2021

A novel method for data fusion over entity-relation graphs and its application to protein-protein interaction prediction.
Bioinform., 2021

In silico prediction of in vitro protein liquid-liquid phase separation experiments outcomes with multi-head neural attention.
Bioinform., 2021

Expressive Graph Informer Networks.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Latent Convergent Cross Mapping.
Proceedings of the 9th International Conference on Learning Representations, 2021

Self-labeling of Fully Mediating Representations by Graph Alignment.
Proceedings of the Artificial Intelligence and Machine Learning, 2021

2020
Insight into the protein solubility driving forces with neural attention.
PLoS Comput. Biol., 2020

ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning.
J. Chem. Inf. Model., 2020

Longitudinal modeling of MS patient trajectories improves predictions of disability progression.
CoRR, 2020

Multilevel Gibbs Sampling for Bayesian Regression.
CoRR, 2020

A Central Limit Theorem for Martin-Löf Random Numbers.
CoRR, 2020

2019
Fast semi-supervised discriminant analysis for binary classification of large data sets.
Pattern Recognit., 2019

Graph Informer Networks for Molecules.
CoRR, 2019

Computational identification of prion-like RNA-binding proteins that form liquid phase-separated condensates.
Bioinform., 2019

GRNBoost2 and Arboreto: efficient and scalable inference of gene regulatory networks.
Bioinform., 2019

GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

SMURFF: A High-Performance Framework for Matrix Factorization Methods.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018
Deep Ensemble Tensor Factorization for Longitudinal Patient Trajectories Classification.
CoRR, 2018

Multilevel preconditioning for Ridge Regression.
CoRR, 2018

Simulation of the propagation of a cylindrical shear wave : non linear and dissipative modelling.
CoRR, 2018

Towards practical privacy-preserving genome-wide association study.
BMC Bioinform., 2018

Gene prioritization using Bayesian matrix factorization with genomic and phenotypic side information.
Bioinform., 2018

Ultra-fast global homology detection with Discrete Cosine Transform and Dynamic Time Warping.
Bioinform., 2018

pBRIT: gene prioritization by correlating functional and phenotypic annotations through integrative data fusion.
Bioinform., 2018

ECCB 2018: The 17th European Conference on Computational Biology.
Bioinform., 2018

2017
Privacy-Preserving Genome-Wide Association Study is Practical.
IACR Cryptol. ePrint Arch., 2017

Macau: Scalable Bayesian factorization with high-dimensional side information using MCMC.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2016
Highlights from the 11th ISCB Student Council Symposium 2015: Dublin, Ireland. 10 July 2015.
BMC Bioinform., February, 2016

Candidate gene prioritization with Endeavour.
Nucleic Acids Res., 2016

A Comprehensive Comparison of Two MEDLINE Annotators for Disease and Gene Linkage: Sometimes Less is More.
Proceedings of the Bioinformatics and Biomedical Engineering, 2016

Topic modeling of biomedical text.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Galahad: a web server for drug effect analysis from gene expression.
Nucleic Acids Res., 2015

Problems with the nested granularity of feature domains in bioinformatics: the eXtasy case.
BMC Bioinform., 2015

NGS-Logistics: data infrastructure for efficient analysis of NGS sequence variants across multiple centers.
BMC Bioinform., 2015

ISMB/ECCB 2015.
Bioinform., 2015

Gene prioritization through geometric-inspired kernel data fusion.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Easy Hyperparameter Search Using Optunity.
CoRR, 2014

Protein fold recognition using geometric kernel data fusion.
Bioinform., 2014

ECCB 2014: The 13<sup>th</sup> European Conference on Computational Biology.
Bioinform., 2014

Gene interaction networks boost genetic algorithm performance in biomarker discovery.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2014

A Self-Tuning Genetic Algorithm with Applications in Biomarker Discovery.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2013
Unraveling genomic variation from next generation sequencing data.
BioData Min., 2013

A Hybrid Approach to Feature Ranking for Microarray Data Classification.
Proceedings of the Engineering Applications of Neural Networks, 2013

A Genetic Algorithm for Pancreatic Cancer Diagnosis.
Proceedings of the Engineering Applications of Neural Networks, 2013

eXtasy simplified-towards opening the black box.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Optimized Data Fusion for Kernel k-Means Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

AliBiMotif: Integrating alignment and biclustering to unravel transcription factor binding sites in DNA sequences.
Int. J. Data Min. Bioinform., 2012

A bioinformatics e-dating story: computational prediction and prioritization of receptor-ligand pairs.
BMC Bioinform., 2012

ReLiance: a machine learning and literature-based prioritization of receptor - ligand pairings.
Bioinform., 2012

An unbiased evaluation of gene prioritization tools.
Bioinform., 2012

Towards Better Prioritization of Epigenetically Modified DNA Regions.
Proceedings of the Artificial Intelligence: Theories and Applications, 2012

A Simple Genetic Algorithm for Biomarker Mining.
Proceedings of the Pattern Recognition in Bioinformatics, 2012

Applying Kernel Methods on Protein Complexes Detection Problem.
Proceedings of the Engineering Applications of Neural Networks, 2012

2011
Kernel-based Data Fusion for Machine Learning - Methods and Applications in Bioinformatics and Text Mining
Studies in Computational Intelligence 345, Springer, ISBN: 978-3-642-19405-4, 2011

PINTA: a web server for network-based gene prioritization from expression data.
Nucleic Acids Res., 2011

Predicting Receptor-Ligand Pairs through Kernel Learning.
BMC Bioinform., 2011

Optimized data fusion for K-means Laplacian clustering.
Bioinform., 2011

A guide to web tools to prioritize candidate genes.
Briefings Bioinform., 2011

2010
Weighted hybrid clustering by combining text mining and bibliometrics on a large-scale journal database.
J. Assoc. Inf. Sci. Technol., 2010

Gene prioritization and clustering by multi-view text mining.
BMC Bioinform., 2010

L2-norm multiple kernel learning and its application to biomedical data fusion.
BMC Bioinform., 2010

Estimating the individualized HIV-1 genetic barrier to resistance using a nelfinavir fitness landscape.
BMC Bioinform., 2010

Candidate gene prioritization by network analysis of differential expression using machine learning approaches.
BMC Bioinform., 2010

Large-scale benchmark of Endeavour using MetaCore maps.
Bioinform., 2010

Biological knowledge bases using Wikis: combining the flexibility of Wikis with the structure of databases.
Bioinform., 2010

Network-Based Disease Candidate Gene Prioritization: Towards Global Diffusion in Heterogeneous Association Networks.
Proceedings of the 1st Workshop on Dynamic Networks and Knowledge Discovery, 2010

Towards Better Receptor-Ligand Prioritization: How Machine Learning on Protein-Protein Interaction Data Can Provide Insight Into Receptor-Ligand Pairs.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
An experimental loop design for the detection of constitutional chromosomal aberrations by array CGH.
BMC Bioinform., 2009

Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets.
Proceedings of the SIAM International Conference on Data Mining, 2009

Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis.
Proceedings of the ICDM Workshops 2009, 2009

2008
ENDEAVOUR update: a web resource for gene prioritization in multiple species.
Nucleic Acids Res., 2008

Estimation of an <i>in vivo</i> fitness landscape experienced by HIV-1 under drug selective pressure useful for prediction of drug resistance evolution during treatment.
Bioinform., 2008

Comparison of vocabularies, representations and ranking algorithms for gene prioritization by text mining.
Proceedings of the ECCB'08 Proceedings, 2008

2007
Estimating the Relative Contribution of dNTP Pool Imbalance and APOBEC3G/3F Editing to HIV Evolution <i>In Vivo</i>.
J. Comput. Biol., 2007

CATMA, a comprehensive genome-scale resource for silencing and transcript profiling of Arabidopsis genes.
BMC Bioinform., 2007

Query-driven module discovery in microarray data.
Bioinform., 2007

Kernel-based data fusion for gene prioritization.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

2006
Analysis of HIV-1 <i>pol</i> sequences using Bayesian Networks: implications for drug resistance.
Bioinform., 2006

KSinBIT 2006 PC Co-chairs' Message.
Proceedings of the On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops, 2006

Ontology Guided Data Integration for Computational Prioritization of Disease Genes.
Proceedings of the On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops, 2006

Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

2005
TOUCAN 2: the all-inclusive open source workbench for regulatory sequence analysis.
Nucleic Acids Res., 2005

arrayCGHbase: an analysis platform for comparative genomic hybridization microarrays.
BMC Bioinform., 2005

BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis.
Bioinform., 2005

Advances in Cluster Analysis of Microarray Data.
Proceedings of the Data Analysis and Visualization in Genomics and Proteomics, 2005

2004
Importing MAGE-ML format microarray data into BioConductor.
Bioinform., 2004

A genetic algorithm for the detection of new cis-regulatory modules in sets of coregulated genes.
Bioinform., 2004

Using literature and data to learn Bayesian networks as clinical models of ovarian tumors.
Artif. Intell. Medicine, 2004

2003
INCLUSive: a web portal and service registry for microarray and regulatory sequence analysis.
Nucleic Acids Res., 2003

Bioinformatics: Organisms from Venus, Technology from Jupiter, Algorithms from Mars.
Eur. J. Control, 2003

Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejection.
Artif. Intell. Medicine, 2003

Text-Based Gene Profiling with Domain-Specific Views.
Proceedings of SWDB'03, 2003

Evaluation of the Vector Space Representation in Text-Based Gene Clustering.
Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

Biclustering microarray data by Gibbs sampling.
Proceedings of the European Conference on Computational Biology (ECCB 2003), 2003

Computational detection of cis-regulatory modules.
Proceedings of the European Conference on Computational Biology (ECCB 2003), 2003

2002
Functional bioinformatics of microarray data: from expression to regulation.
Proc. IEEE, 2002

PlantCARE, a database of plant cis-acting regulatory elements and a portal to tools for in silico analysis of promoter sequences.
Nucleic Acids Res., 2002

A Gibbs Sampling Method to Detect Overrepresented Motifs in the Upstream Regions of Coexpressed Genes.
J. Comput. Biol., 2002

INCLUSive: INtegrated Clustering, Upstream sequence retrieval and motif Sampling.
Bioinform., 2002

Adaptive quality-based clustering of gene expression profiles.
Bioinform., 2002

Web-based Data Collection for Uterine Adnexal Tumors: A Case Study.
Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002), 2002

2001
A higher-order background model improves the detection of promoter regulatory elements by Gibbs sampling.
Bioinform., 2001

A Gibbs sampling method to detect over-represented motifs in the upstream regions of co-expressed genes.
Proceedings of the Fifth Annual International Conference on Computational Biology, 2001

Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors.
Proceedings of the Artificial Intelligence Medicine, 2001

1999
Embedding recurrent neural networks into predator-prey models.
Neural Networks, 1999

A hybrid system for fraud detection in mobile communications.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998
To stop learning using the evidence.
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

1997
Use of a Multi-Layer Perceptron to Predict Malignancy in Ovarian Tumors.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Detection of Mobile Phone Fraud Using Supervised Neural Networks: A First Prototype.
Proceedings of the Artificial Neural Networks, 1997

Composition methods for the integration of dynamical neural networks.
Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997

1996
Prediction of dynamical systems with composition networks.
Proceedings of the 4th European Symposium on Artificial Neural Networks, 1996


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