Jörg Simon Wicker
Cited by
Cited by
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
Collaborative development of predictive toxicology applications
B Hardy, N Douglas, C Helma, M Rautenberg, N Jeliazkova, V Jeliazkov, ...
Journal of cheminformatics 2, 1-29, 2010
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
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
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
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
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
A machine learning damage prediction model for the 2017 Puebla-Morelos, Mexico, earthquake
S Roeslin, Q Ma, H Juárez-Garcia, A Gómez-Bernal, J Wicker, ...
Earthquake Spectra 36 (2_suppl), 314-339, 2020
A nonlinear label compression and transformation method for multi-label classification using autoencoders
J Wicker, A Tyukin, S Kramer
Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia …, 2016
Inductive databases in the relational model: The data as the bridge
S Kramer, V Aufschild, A Hapfelmeier, A Jarasch, K Kessler, S Reckow, ...
Knowledge Discovery in Inductive Databases: 4th International Workshop, KDID …, 2006
A comprehensive comparison of molecular feature representations for use in predictive modeling
T Stepišnik, B Škrlj, J Wicker, D Kocev
Computers in Biology and Medicine 130, 104197, 2021
SINDBAD and SiQL: An inductive database and query language in the relational model
J Wicker, L Richter, K Kessler, S Kramer
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008
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
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
SymbioLCD: Ensemble-based loop closure detection using CNN-extracted objects and visual bag-of-words
JJY Kim, M Urschler, PJ Riddle, JS Wicker
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
Balancing utility and fairness against privacy in medical data
A Chester, YS Koh, J Wicker, Q Sun, J Lee
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1226-1233, 2020
Holistic Evaluation of Biodegradation Pathway Prediction: Assessing Multi-Step Reactions and Intermediate Products
J Tam, T Lorsbach, S Schmidt, J Wicker
Journal of Cheminformatics 13, 63, 2021
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
Hitting the target: stopping active learning at the cost-based optimum
Z Pullar-Strecker, K Dost, E Frank, J Wicker
Machine Learning 113 (4), 1529-1547, 2024
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
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