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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Data integration for the development of a seismic loss prediction model for residential buildings in New Zealand

Samuel Roeslin, Quincy Ma, Jörg Wicker, Liam Wotherspoon: Data integration for the development of a seismic loss prediction model for residential buildings in New Zealand. In: Cellier, Peggy; Driessens, Kurt (Ed.): Machine Learning and Knowledge Discovery in Databases, pp. 88-100, Springer International Publishing, Cham, 2020, ISBN: 978-3-030-43887-6.

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A machine learning approach to quantifying the specificity of color-emotion associations and their cultural differences

Domicele Jonauskaite, Jörg Wicker, Chrisine Mohr, Nele Dael, Jelena Havelka, Marietta Papadatou-Pastou, Meng Zhang, Daniel Oberfeld : A machine learning approach to quantifying the specificity of color-emotion associations and their cultural differences. In: Royal Society Open Science, 6 (9), pp. 190741, 2019.

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What can we learn from the air chemistry of crowds

Jonathan Williams, Christof Stönner, Achim Edtbauer, Bettina Derstorff, Efstratios Bourtsoukidis, Thomas Klüpfel, Nicolas Krauter, Jörg Wicker, Stefan Kramer: What can we learn from the air chemistry of crowds?. In: Hansel, Armin; Dunkl, Jürgen (Ed.): 8th International Conference on Proton Transfer Reaction Mass Spectrometry and its Applications, pp. 121-123, Innsbruck University Press, Innsbruck, 2019.

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Data integration for the development of a seismic loss prediction model for residential buildings in New Zealand

Samuel Roeslin, Quincy Ma, Jörg Wicker, Liam Wotherspoon: Data integration for the development of a seismic loss prediction model for residential buildings in New Zealand. In: Cellier, Peggy; Driessens, Kurt (Ed.): Machine Learning and Knowledge Discovery in Databases, pp. 88-100, Springer International Publishing, Cham, 2020, ISBN: 978-3-030-43887-6.

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Proof of concept study: Testing human volatile organic compounds as tools for age classification of films

Christof Stönner, Achim Edtbauer, Bettina Derstorff, Efstratios Bourtsoukidis, Thomas Klüpfel, Jörg Wicker, Jonathan Williams: Proof of concept study: Testing human volatile organic compounds as tools for age classification of films. In: PLOS One, 13 (10), pp. 1-14, 2018.

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The Best Privacy Defense is a Good Privacy Offense: Obfuscating a Search Engine User’s Profile

Jörg Wicker, Stefan Kramer: The Best Privacy Defense is a Good Privacy Offense: Obfuscating a Search Engine User's Profile. In: Data Mining and Knowledge Discovery, 31 (5), pp. 1419-1443, 2017, ISSN: 1573-756X.

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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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