XOR-based Boolean Matrix Decomposition. In: International Conference on Data Mining, IEEE, Forthcoming.
publications
Data 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. In: Antonie, Luiza; Christen, Peter; Rahm, Erhard; Zaïane, Osmar (Ed.): DINA 2019 - Data Integration and Applications Workshop, Forthcoming.
A machine learning approach to quantifying the specificity of color-emotion associations and their cultural differences
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.
What can we learn from the air chemistry of crowds
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.
Proof of concept study: Testing human volatile organic compounds as tools for age classification of films
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.
The Best Privacy Defense is a Good Privacy Offense: Obfuscating a Search Engine User’s Profile
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.
Eawag-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. In: Environmental Science: Process & Impact, 2017.
Eawag-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. In: Environmental Science: Process & Impact, 2017.
Eawag-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. In: Environmental Science: Process & Impact, 2017.
A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction
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.