Vladimir I. Chupakhin

Publication Activity (10 Years)

Years Active: 2010-2020
Publications (10 Years): 8

Top Topics

Intelligent Decision Making

Factorization Methods

Top Venues

J. Cheminformatics

BNAIC/BENELEARN

PARMA-DITAM@HiPEAC

Publications

Noé Sturm, Andreas Mayr, Thanh Le Van, Vladimir I. Chupakhin, Hugo Ceulemans, Jörg K. Wegner, José Felipe Golib Dzib, Nina Jeliazkova, Yves Vandriessche, Stanislav Böhm, Vojtech Cima, Jan Martinovic, Nigel Greene, Tom Vander Aa, Thomas J. Ashby, Sepp Hochreiter, Ola Engkvist, Günter Klambauer, Hongming Chen
Industry-scale application and evaluation of deep learning for drug target prediction. J. Cheminformatics 12 (1) (2020)
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)
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)
Vojtech Cima, Stanislav Böhm, Jan Martinovic, Jiri Dvorský, Katerina Janurová, Tom Vander Aa, Thomas J. Ashby, Vladimir I. Chupakhin
HyperLoom: A Platform for Defining and Executing Scientific Pipelines in Distributed Environments. PARMA-DITAM@HiPEAC (2018)
Jaak Simm, Adam Arany, Pooya Zakeri, Tom Haber, Jörg K. Wegner, Vladimir I. Chupakhin, Hugo Ceulemans, Yves Moreau
Macau: Scalable Bayesian factorization with high-dimensional side information using MCMC. MLSP (2017)
Jiangming Sun, Nina Jeliazkova, Vladimir I. Chupakhin, José Felipe Golib Dzib, Ola Engkvist, Lars Carlsson, Jörg K. Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay T. Kochev, Thomas J. Ashby, Hongming Chen
Erratum to: ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics. J. Cheminformatics 9 (1) (2017)
Vojtech Cima, Stanislav Böhm, Jan Martinovic, Jiri Dvorský, Thomas J. Ashby, Vladimir I. Chupakhin
HyperLoom Possibilities for Executing Scientific Workflows on the Cloud. CISIS (2017)
Jiangming Sun, Nina Jeliazkova, Vladimir I. Chupakhin, José Felipe Golib Dzib, Ola Engkvist, 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. J. Cheminformatics 9 (1) (2017)
Vladimir I. Chupakhin, Gilles Marcou, Igor I. Baskin, Alexandre Varnek, Didier Rognan
Predicting Ligand Binding Modes from Neural Networks Trained on Protein-Ligand Interaction Fingerprints. J. Chem. Inf. Model. 53 (4) (2013)
Vladimir A. Palyulin, Eugene V. Radchenko, Dmitry I. Osolodkin, Vladimir I. Chupakhin, Nikolai S. Zefirov
Ionotropic GABA receptors: modelling and design of selective ligands. J. Cheminformatics 2 (S-1) (2010)