I am lecturer at the Department of Computer Science at the University of Auckland and CEO of enviPath. My main research interests are Machine Learning and Data Mining and its applications in Bioinformatics, Cheminformatics, and Computational Sustainability. Before doing a PostDoc at Johannes Gutenberg University Mainz, I did my PhD at the Technical University of Munich. I did my undergrad studies in Bioinformatics at the Technical University of Munich and Ludwig Maximilian University of Munich.

Research Interests


Recent Publications

Journal Articles

Wicker, Jörg; Kramer, Stefan

The Best Privacy Defense is a Good Privacy Offense: Obfuscating a Search Engine User's Profile Journal Article

Data Mining and Knowledge Discovery, 2017, ISSN: 1573-756X.

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Latino, Diogo; Wicker, Jörg; Gütlein, Martin; Schmid, Emanuel; Kramer, Stefan; Fenner, Kathrin

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

Environmental Science: Process & Impact, 2017.

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Williams, Jonathan; Stönner, Christof; Wicker, Jörg; Krauter, Nicolas; Derstorff, Bettina; Bourtsoukidis, Efstratios; Klüpfel, Thomas; Kramer, Stefan

Cinema audiences reproducibly vary the chemical composition of air during films, by broadcasting scene specific emissions on breath Journal Article

Scientific Reports, 6 , 2016.

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Wicker, Jörg; Lorsbach, Tim; Gütlein, Martin; Schmid, Emanuel; Latino, Diogo; Kramer, Stefan; Fenner, Kathrin

enviPath - The Environmental Contaminant Biotransformation Pathway Resource Journal Article

Nucleic Acid Research, 44 (D1), pp. D502-D508, 2016.

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Incollections

Wicker, Jörg; Fenner, Kathrin; Kramer, Stefan

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

Lässig, Jörg; Kersting, Kristian; Morik, Katharina (Ed.): Computational Sustainability, pp. 75-97, Springer International Publishing, Cham, 2016, ISBN: 978-3-319-31858-5.

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Inproceedings

Raza, Atif; Wicker, Jörg; Kramer, Stefan

Trading Off Accuracy for Efficiency by Randomized Greedy Warping Inproceedings

Proceedings of the 31st Annual ACM Symposium on Applied Computing, pp. 883-890, ACM, New York, NY, USA, 2016, ISBN: 978-1-4503-3739-7.

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Wicker, Jörg; Tyukin, Andrey; Kramer, Stefan

A Nonlinear Label Compression and Transformation Method for Multi-Label Classification using Autoencoders Inproceedings

Bailey, James; Khan, Latifur; Washio, Takashi; Dobbie, Gill; Huang, Zhexue Joshua; Wang, Ruili (Ed.): The 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 328-340, Springer International Publishing, Switzerland, 2016, ISBN: 978-3-319-31753-3.

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