Jörg Simon Wicker
Title
Cited by
Cited by
Year
Collaborative development of predictive toxicology applications
B Hardy, N Douglas, C Helma, M Rautenberg, N Jeliazkova, V Jeliazkov, ...
Journal of cheminformatics 2 (1), 7, 2010
1182010
Cinema audiences reproducibly vary the chemical composition of air during films, by broadcasting scene specific emissions on breath
J Williams, C Stönner, J Wicker, N Krauter, B Derstroff, E Bourtsoukidis, ...
Scientific Reports 6 (25464), 2016
612016
enviPath–The environmental contaminant biotransformation pathway resource
J Wicker, T Lorsbach, M Gütlein, E Schmid, D Latino, S Kramer, K Fenner
Nucleic acids research 44 (D1), D502-D508, 2016
512016
Multi-label classification using Boolean matrix decomposition
J Wicker, B Pfahringer, S Kramer
Proceedings of the 27th Annual ACM Symposium on Applied Computing, 179-186, 2012
392012
Predicting biodegradation products and pathways: a hybrid knowledge-and machine learning-based approach
J Wicker, K Fenner, L Ellis, L Wackett, S Kramer
Bioinformatics 26 (6), 814-821, 2010
312010
Inductive databases in the relational model: The data as the bridge
S Kramer, V Aufschild, A Hapfelmeier, A Jarasch, K Kessler, S Reckow, ...
International Workshop on Knowledge Discovery in Inductive Databases, 124-138, 2005
282005
Eawag-Soil in enviPath: a new resource for exploring regulatory pesticide soil biodegradation pathways and half-life data
DARS Latino, J Wicker, M Gütlein, E Schmid, S Kramer, K Fenner
Environmental Science: Processes & Impacts 19 (3), 449-464, 2017
202017
A nonlinear label compression and transformation method for multi-label classification using autoencoders
J Wicker, A Tyukin, S Kramer
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 328-340, 2016
192016
SINDBAD and SiQL: An inductive database and query language in the relational model
J Wicker, L Richter, K Kessler, S Kramer
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008
192008
Cinema Data Mining: The Smell of Fear
J Wicker, N Krauter, B Derstorff, C Stönner, E Bourtsoukidis, T Klüpfel, ...
Proceedings of the 21st ACM SIGKDD International Conference on Knowledge …, 2015
112015
A machine learning approach to quantify the specificity of colour–emotion associations and their cultural differences
D Jonauskaite, J Wicker, C Mohr, N Dael, J Havelka, ...
Royal Society open science 6 (9), 190741, 2019
102019
An inductive database and query language in the relational model
L Richter, J Wicker, K Kessler, S Kramer
Proceedings of the 11th international conference on Extending database …, 2008
72008
Proof of concept study: Testing human volatile organic compounds as tools for age classification of films
C Stönner, A Edtbauer, B Derstroff, E Bourtsoukidis, T Klüpfel, J Wicker, ...
PLOS one 13 (10), e0203044, 2018
52018
BMaD – A Boolean Matrix Decomposition Framework
A Tyukin, S Kramer, J Wicker
Machine Learning and Knowledge Discovery in Databases, 481-484, 2014
52014
A hybrid machine learning and knowledge based approach to limit combinatorial explosion in biodegradation prediction
J Wicker, K Fenner, S Kramer
Computational Sustainability, 75-97, 2016
32016
The best privacy defense is a good privacy offense: obfuscating a search engine user’s profile
J Wicker, S Kramer
Data Mining and Knowledge Discovery 31 (5), 1419-1443, 2017
22017
SINDBAD and SiQL: Overview, applications and future developments
J Wicker, L Richter, S Kramer
Inductive Databases and Constraint-Based Data Mining, 289-309, 2010
22010
SINDBAD SAILS: A service architecture for inductive learning schemes
J Wicker, C Brosdau, L Richter, S Kramer
Proceedings of the First Workshop on Third Generation Data Mining: Towards …, 2008
22008
Scavenger – A Framework for Efficient Evaluation of Dynamic and Modular Algorithms
A Tyukin, S Kramer, J Wicker
Machine Learning and Knowledge Discovery in Databases, 325-328, 2015
12015
Large Classifier Systems in Bio-and Cheminformatics
J Wicker
Technische Universität München, 2013
12013
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Articles 1–20