Hugo Ceulemans

According to our database1, Hugo Ceulemans authored at least 10 papers between 2017 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023

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

2020
Industry-scale application and evaluation of deep learning for drug target prediction.
J. Cheminformatics, 2020

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

ExCAPE-DB: An Integrated Large Scale Dataset Facilitating Big Data Analysis in Chemogenomics.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 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

2017
Erratum to: ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics.
J. Cheminformatics, 2017

ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics.
J. Cheminformatics, 2017

Scaling machine learning for target prediction in drug discovery using Apache Spark.
Future Gener. Comput. Syst., 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


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