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Hugo Ceulemans
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2020 – today
- 2024
- [j6]Wouter Heyndrickx
, Lewis H. Mervin
MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information. J. Chem. Inf. Model. 64(7): 2331-2344 (2024) - [c5]Muhammad Arslan Masood
Balancing Imbalanced Toxicity Models: Using MolBERT with Focal Loss. AIDD@ICANN 2024: 82-97 - 2023
- [c4]Martijn Oldenhof
Industry-Scale Orchestrated Federated Learning for Drug Discovery. AAAI 2023: 15576-15584 - 2022
- [i2]Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway
Industry-Scale Orchestrated Federated Learning for Drug Discovery. CoRR abs/2210.08871 (2022) - 2020
- [j5]Noé Sturm, Andreas Mayr, Thanh Le Van, Vladimir I. Chupakhin
Industry-scale application and evaluation of deep learning for drug target prediction. J. Cheminformatics 12(1): 26 (2020)
2010 – 2019
- 2019
- [j4]Joris Tavernier
Fast semi-supervised discriminant analysis for binary classification of large data sets. Pattern Recognit. 91: 86-99 (2019) - [c3]Tom Vander Aa, Imen Chakroun, Tom Ashby, Jaak Simm, Adam Arany, Yves Moreau, Thanh Le Van, José Felipe Golib Dzib, Jörg K. Wegner, Vladimir I. Chupakhin, Hugo Ceulemans, Roel Wuyts, Wilfried Verachtert:
SMURFF: A High-Performance Framework for Matrix Factorization Methods. BNAIC/BENELEARN 2019 - [c2]Jiangming Sun, Nina Jeliazkova, Vladimir I. Chupakhin, José Felipe Golib Dzib, Lars Carlsson, Jörg K. Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay T. Kochev, Thomas J. Ashby, Hongming Chen:
ExCAPE-DB: An Integrated Large Scale Dataset Facilitating Big Data Analysis in Chemogenomics. BNAIC/BENELEARN 2019 - 2017
- [j3]Dries Harnie
Scaling machine learning for target prediction in drug discovery using Apache Spark. Future Gener. Comput. Syst. 67: 409-417 (2017) - [j2]Jiangming Sun, Nina Jeliazkova
ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics. J. Cheminformatics 9(1): 17:1-17:9 (2017) - [j1]Jiangming Sun, Nina Jeliazkova, Vladimir I. Chupakhin, José Felipe Golib Dzib, Ola Engkvist
Erratum to: ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics. J. Cheminformatics 9(1): 41:1 (2017) - [c1]Jaak Simm, Adam Arany, Pooya Zakeri, Tom Haber, Jörg K. Wegner, Vladimir I. Chupakhin
Macau: Scalable Bayesian factorization with high-dimensional side information using MCMC. MLSP 2017: 1-6 - [i1]Joris Tavernier, Jaak Simm, Karl Meerbergen, Jörg K. Wegner, Hugo Ceulemans, Yves Moreau:
Fast semi-supervised discriminant analysis for binary classification of large data-sets. CoRR abs/1709.04794 (2017)
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