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: Antonie, Luiza; Christen, Peter; Rahm, Erhard; Zaïane, Osmar (Ed.): DINA 2019 - Data Integration and Applications Workshop, Forthcoming.

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

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: Antonie, Luiza; Christen, Peter; Rahm, Erhard; Zaïane, Osmar (Ed.): DINA 2019 - Data Integration and Applications Workshop, Forthcoming.

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

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, Forthcoming.

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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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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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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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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.

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

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.

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

A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction

Jörg Wicker, Kathrin Fenner, Stefan Kramer: A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction. In: Lässig, Jörg; Kersting, Kristian; Morik, Katharina (Ed.): Computational Sustainability, pp. 75-97, Springer International Publishing, Cham, 2016, ISBN: 978-3-319-31858-5.

Read moreA Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction