Dr Jörg Simon Wicker

Research | Current

My main research areas are machine learning and data mining, and its application to bioinformatcs, cheminformatics, computational sustainability, and privacy.

Areas of expertise

  • Machine Learning
  • Data Mining
  • Data Science
  • Cheminformatics
  • Computational Sustainability
  • Adversarial Learning
  • Bioinformatics
  • Privacy

Selected publications and creative works (Research Outputs)

  • Latino, D. A., Wicker, J., Gütlein M, Schmid, E., Kramer, S., & Fenner, K. (2017). Eawag-Soil in enviPath: A new resource for exploring regulatory pesticide soil biodegradation pathways and half-life data. Environmental Science: Processes & Impacts, 19 (3), 449-464. 10.1039/c6em00697c
  • Williams, J., Stönner C, Wicker, J., Krauter, N., Derstroff, B., Bourtsoukidis, E., ... Kramer, S. (2016). Cinema audiences reproducibly vary the chemical composition of air during films, by broadcasting scene specific emissions on breath. Scientific Reports, 610.1038/srep25464
  • Wicker, J., Lorsbach, T., Gütlein M, Schmid, E., Latino, D., Kramer, S., & Fenner, K. (2016). enviPath--The environmental contaminant biotransformation pathway resource. Nucleic Acids Research, 44 (D1), D502-D508. 10.1093/nar/gkv1229
  • Wicker, J., Fenner, K., & Kramer, S. (2016). A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction. In J. Lassig, K. Kersting, K. Morik (Eds.) (pp. 75-97). SPRINGER-VERLAG BERLIN. 10.1007/978-3-319-31858-5_5
  • Wicker, J., Tyukin, A., & Kramer, S. (2016). A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders. Paper presented at 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Univ Auckland, Auckland, NEW ZEALAND. 19 April - 22 April 2016. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2016, PT I. (pp. 13). 10.1007/978-3-319-31753-3_27
  • Wicker, J., Krauter, N., Derstorff, B., Stönner C, Bourtsoukidis, E., Klüpfel T, ... Kramer, S. (2015). Cinema data mining: The smell of fear. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1295-1304. Sydney, NSW, Australia. 10.1145/2783258.2783404
  • Tyukin, A., Kramer, S., & Wicker, J. (2015). SCAVENGER - A Framework for Efficient Evaluation of Dynamic and Modular Algorithms. Paper presented at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Porto, PORTUGAL. 7 September - 11 September 2015. MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT III. (pp. 4). 10.1007/978-3-319-23461-8_40
  • Wicker, J., Pfahringer, B., & Kramer, S. (2012). Multi-label classification using boolean matrix decomposition. Proceedings of the ACM Symposium on Applied Computing, 179-186. New York, NY, USA: ACM. 10.1145/2245276.2245311


Contact details

Office hours

Mon 2pm-4pm

Primary office location

SCIENCE CENTRE 303 - Bldg 303
Level 5, Room 526
New Zealand

Web links