Interaction prediction in structure-based virtual screening using deep learning A Gonczarek, JM Tomczak, S Zaręba, J Kaczmar, P Dąbrowski, ... Computers in biology and medicine 100, 253-258, 2018 | 88 | 2018 |
NMRNet: a deep learning approach to automated peak picking of protein NMR spectra P Klukowski, M Augoff, M Zięba, M Drwal, A Gonczarek, MJ Walczak Bioinformatics 34 (15), 2590-2597, 2018 | 70 | 2018 |
Decision rules extraction from data stream in the presence of changing context for diabetes treatment JM Tomczak, A Gonczarek Knowledge and Information Systems 34, 521-546, 2013 | 37 | 2013 |
Computer vision-based automated peak picking applied to protein NMR spectra P Klukowski, MJ Walczak, A Gonczarek, J Boudet, G Wider Bioinformatics 31 (18), 2981-2988, 2015 | 22 | 2015 |
Learning deep architectures for interaction prediction in structure-based virtual screening A Gonczarek, JM Tomczak, S Zaręba, J Kaczmar, P Dąbrowski, ... arXiv preprint arXiv:1610.07187, 2016 | 20 | 2016 |
RBM-SMOTE: restricted boltzmann machines for synthetic minority oversampling technique M Zięba, JM Tomczak, A Gonczarek Intelligent Information and Database Systems: 7th Asian Conference, ACIIDS …, 2015 | 18 | 2015 |
Learning invariant features using subspace restricted Boltzmann machine JM Tomczak, A Gonczarek Neural Processing Letters 45, 173-182, 2017 | 15 | 2017 |
Articulated tracking with manifold regularized particle filter A Gonczarek, JM Tomczak Machine Vision and Applications 27, 275-286, 2016 | 15 | 2016 |
Competition mechanism between singlet and triplet superconductivity in the tight-binding model with anisotropic attractive potential R Gonczarek, L Jacak, M Krzyzosiak, A Gonczarek The European Physical Journal B-Condensed Matter and Complex Systems 49, 171-186, 2006 | 15 | 2006 |
Gaussian process regression for automated signal tracking in step-wise perturbed Nuclear Magnetic Resonance spectra M Zieba, P Klukowski, A Gonczarek, Y Nikolaev, MJ Walczak Applied Soft Computing 68, 162-171, 2018 | 13 | 2018 |
Developing deep learning applications for life science and pharma industry D Siegismund, V Tolkachev, S Heyse, B Sick, O Duerr, S Steigele Drug research 68 (06), 305-310, 2018 | 13 | 2018 |
Simple analytical model of the effect of high pressure on the critical temperature and other thermodynamic properties of superconductors M Krzyzosiak, R Gonczarek, A Gonczarek, L Jacak Scientific reports 8 (1), 7709, 2018 | 13 | 2018 |
Accelerated learning for restricted Boltzmann machine with momentum term S Zaręba, A Gonczarek, JM Tomczak, J Świątek Progress in Systems Engineering: Proceedings of the Twenty-Third …, 2015 | 12 | 2015 |
Sparse hidden units activation in Restricted Boltzmann Machine JM Tomczak, A Gonczarek Progress in Systems Engineering: Proceedings of the Twenty-Third …, 2015 | 9 | 2015 |
Islands of stability of the d-wave order parameter in s-wave anisotropic superconductors R Gonczarek, M Krzyzosiak, A Gonczarek The European Physical Journal B 61, 299-308, 2008 | 9 | 2008 |
Coexistence of spin‐singlet s‐and d‐wave and spin‐triplet p‐wave order parameters in anisotropic superconductors R Gonczarek, M Krzyzosiak, L Jacak, A Gonczarek physica status solidi (b) 244 (10), 3559-3571, 2007 | 8 | 2007 |
Applications of the conformal transformation method in studies of composed superconducting systems M Krzyzosiak, R Gonczarek, A Gonczarek, L Jacak Frontiers of Physics 11, 1-19, 2016 | 7 | 2016 |
A probabilistic approach to structural change prediction in evolving social networks K Juszczyszyn, A Gonczarek, JM Tomczak, K Musial, M Budka 2012 IEEE/ACM International Conference on Advances in Social Networks …, 2012 | 6 | 2012 |
Manifold regularized particle filter for articulated human motion tracking A Gonczarek, JM Tomczak Advances in Systems Science: Proceedings of the International Conference on …, 2014 | 5 | 2014 |
Learning deep architectures for interaction prediction in structure-based virtual screening. arXiv 2016 A Gonczarek, JM Tomczak, S Zareba, J Kaczmar, P Dabrowski, ... arXiv preprint arXiv:1610.07187, 0 | 5 | |