A machine learning damage prediction model for the 2017 Puebla-Morelos, Mexico, earthquake

Samuel Roeslin, Quincy Ma, Hugon Juárez-Garcia, Alonso Gómez-Bernal, Jörg Wicker, Liam Wotherspoon: A machine learning damage prediction model for the 2017 Puebla-Morelos, Mexico, earthquake. In: Earthquake Spectra, 2020.

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Eawag-Soil in enviPath: a new resource for exploring regulatory pesticide soil biodegradation pathways and half-life data

Diogo Latino, Jörg Wicker, Martin Gütlein, Emanuel Schmid, Stefan Kramer, Kathrin Fenner: Eawag-Soil in enviPath: a new resource for exploring regulatory pesticide soil biodegradation pathways and half-life data. In: Environmental Science: Process & Impact, 2017.

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Predicting biodegradation products and pathways: a hybrid knowledge- and machine learning-based approach

Jörg Wicker, Kathrin Fenner, Lynda Ellis, Larry Wackett, Stefan Kramer: Predicting biodegradation products and pathways: a hybrid knowledge- and machine learning-based approach. In: Bioinformatics, 26 (6), pp. 814-821, 2010.

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Collaborative development of predictive toxicology applications

Barry Hardy, Nicki Douglas, Christoph Helma, Micha Rautenberg, Nina Jeliazkova, Vedrin Jeliazkov, Ivelina Nikolova, Romualdo Benigni, Olga Tcheremenskaia, Stefan Kramer, Tobias Girschick, Fabian Buchwald, Jörg Wicker, Andreas Karwath, Martin Gütlein, Andreas Maunz, Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, Pantelis Sopasakis, David Gallagher, Vladimir Poroikov, Dmitry Filimonov, Alexey Zakharov, Alexey Lagunin, Tatyana Gloriozova, Sergey Novikov, Natalia Skvortsova, Dmitry Druzhilovsky, Sunil Chawla, Indira Ghosh, Surajit Ray, Hitesh Patel, Sylvia Escher: Collaborative development of predictive toxicology applications. In: Journal of Cheminformatics, 2 (1), pp. 7, 2010, ISSN: 1758-2946.

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