Sepp Hochreiter, Ph.D.
Affiliations: | Computer Science | University of Linz |
Area:
Machine LearningGoogle:
"Sepp Hochreiter"
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Publications
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Sturm N, Mayr A, Le Van T, et al. (2020) Industry-scale application and evaluation of deep learning for drug target prediction. Journal of Cheminformatics. 12: 26 |
Mitterecker A, Hofmann A, Trentino KM, et al. (2020) Machine learning-based prediction of transfusion. Transfusion. 60: 1977-1986 |
Kratzert F, Klotz D, Hochreiter S, et al. (2020) A note on leveraging synergy in multiple meteorological datasets with deep learning for rainfall-runoff modeling Hydrology and Earth System Sciences Discussions. 1-26 |
Klambauer G, Hochreiter S, Rarey M. (2019) Machine Learning in Drug Discovery. Journal of Chemical Information and Modeling. 59: 945-946 |
Hofmarcher M, Rumetshofer E, Clevert DA, et al. (2019) Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks. Journal of Chemical Information and Modeling. 59: 1163-1171 |
Kratzert F, Klotz D, Shalev G, et al. (2019) Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets Hydrology and Earth System Sciences. 23: 5089-5110 |
Kratzert F, Klotz D, Shalev G, et al. (2019) Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling. Hydrology and Earth System Sciences Discussions. 1-32 |
Kratzert F, Klotz D, Herrnegger M, et al. (2019) Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning Water Resources Research. 55: 11344-11354 |
Mayr A, Klambauer G, Unterthiner T, et al. (2018) Large-scale comparison of machine learning methods for drug target prediction on ChEMBL. Chemical Science. 9: 5441-5451 |
Preuer K, Renz P, Unterthiner T, et al. (2018) Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery. Journal of Chemical Information and Modeling. 58: 1736-1741 |