Cikkek nyilvánosan hozzáférhető megbízással - Sepp HochreiterTovábbi információ
Sehol sem hozzáférhető: 2
Weighted similarity-based clustering of chemical structures and bioactivity data in early drug discovery
NJ Perualila-Tan, Z Shkedy, W Talloen, HWH Göhlmann, Q Consortium, ...
Journal of Bioinformatics and Computational Biology, 2016
Megbízások: Research Foundation (Flanders)
A joint modeling approach for uncovering associations between gene expression, bioactivity and chemical structure in early drug discovery to guide lead selection and genomic …
NJ Perualila-Tan, A Kasim, W Talloen, B Verbist, HWH Göhlmann, ...
Statistical applications in genetics and molecular biology, 2016
Megbízások: Research Foundation (Flanders)
Valahol hozzáférhető: 78
Gans trained by a two time-scale update rule converge to a local nash equilibrium
M Heusel, H Ramsauer, T Unterthiner, B Nessler, S Hochreiter
Advances in neural information processing systems 30, 2017
Megbízások: Austrian Science Fund, Research Foundation (Flanders), European Commission
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
Nature biotechnology 32 (9), 903-914, 2014
Megbízások: US National Institutes of Health, National Health and Medical Research …
Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets
F Kratzert, D Klotz, G Shalev, G Klambauer, S Hochreiter, G Nearing
Hydrology and Earth System Sciences 23 (12), 5089-5110, 2019
Megbízások: Austrian Science Fund
Large-scale comparison of machine learning methods for drug target prediction on ChEMBL
A Mayr, G Klambauer, T Unterthiner, M Steijaert, JK Wegner, ...
Chemical science 9 (24), 5441-5451, 2018
Megbízások: Austrian Science Fund, European Commission
Toward improved predictions in ungauged basins: Exploiting the power of machine learning
F Kratzert, D Klotz, M Herrnegger, AK Sampson, S Hochreiter, GS Nearing
Water Resources Research 55 (12), 11344-11354, 2019
Megbízások: Austrian Science Fund
DeepSynergy: predicting anti-cancer drug synergy with Deep Learning
K Preuer, RPI Lewis, S Hochreiter, A Bender, KC Bulusu, G Klambauer
Bioinformatics 34 (9), 1538-1546, 2018
Megbízások: European Commission
FABIA: factor analysis for bicluster acquisition
S Hochreiter, U Bodenhofer, M Heusel, A Mayr, A Mitterecker, A Kasim, ...
Bioinformatics 26 (12), 1520-1527, 2010
Megbízások: Research Foundation (Flanders)
Repurposing high-throughput image assays enables biological activity prediction for drug discovery
J Simm, G Klambauer, A Arany, M Steijaert, JK Wegner, E Gustin, ...
Cell chemical biology 25 (5), 611-618. e3, 2018
Megbízások: US National Institutes of Health
Rainfall–runoff prediction at multiple timescales with a single Long Short-Term Memory network
M Gauch, F Kratzert, D Klotz, G Nearing, J Lin, S Hochreiter
Hydrology and Earth System Sciences 25 (4), 2045-2062, 2021
Megbízások: European Commission, Canada First Research Excellence Fund
Modern hopfield networks and attention for immune repertoire classification
M Widrich, B Schäfl, M Pavlović, H Ramsauer, L Gruber, M Holzleitner, ...
Advances in neural information processing systems 33, 18832-18845, 2020
Megbízások: European Commission
Explaining and interpreting LSTMs
L Arras, J Arjona-Medina, M Widrich, G Montavon, M Gillhofer, KR Müller, ...
Explainable ai: Interpreting, explaining and visualizing deep learning, 211-238, 2019
Megbízások: German Research Foundation, Federal Ministry of Education and Research, Germany
Uncertainty estimation with deep learning for rainfall–runoff modeling
D Klotz, F Kratzert, M Gauch, A Keefe Sampson, J Brandstetter, ...
Hydrology and Earth System Sciences 26 (6), 1673-1693, 2022
Megbízások: European Commission, Canada First Research Excellence Fund
Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures
Nature Communications 5, 2014
Megbízások: UK Biotechnology and Biological Sciences Research Council, Government of Spain
Cloob: Modern hopfield networks with infoloob outperform clip
A Fürst, E Rumetshofer, J Lehner, VT Tran, F Tang, H Ramsauer, D Kreil, ...
Advances in neural information processing systems 35, 20450-20468, 2022
Megbízások: Austrian Science Fund, European Commission
Prediction of human population responses to toxic compounds by a collaborative competition
F Eduati, LM Mangravite, T Wang, H Tang, JC Bare, R Huang, T Norman, ...
Nature biotechnology 33 (9), 933-940, 2015
Megbízások: US National Institutes of Health, European Molecular Biology Laboratory, UK …
Using transcriptomics to guide lead optimization in drug discovery projects: Lessons learned from the QSTAR project
B Verbist, G Klambauer, L Vervoort, W Talloen, Z Shkedy, O Thas, ...
Drug discovery today 20 (5), 505-513, 2015
Megbízások: Research Foundation (Flanders), European Commission
In silico proof of principle of machine learning-based antibody design at unconstrained scale
R Akbar, PA Robert, CR Weber, M Widrich, R Frank, M Pavlović, ...
MAbs 14 (1), 2031482, 2022
Megbízások: European Commission, Research Council of Norway
Accurate prediction of biological assays with high-throughput microscopy images and convolutional networks
M Hofmarcher, E Rumetshofer, DA Clevert, S Hochreiter, G Klambauer
Journal of chemical information and modeling 59 (3), 1163-1171, 2019
Megbízások: Research Foundation (Flanders)
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