| 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 | 214 | 2016 |
| 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 | 144 | 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 | 117 | 2016 |
| 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 | 93 | 2020 |
| 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 | 92 | 2019 |
| 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 | 71 | 2010 |
| 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 | 69 | 2017 |
| A systematic review of aspect-based sentiment analysis: domains, methods, and trends YC Hua, P Denny, J Wicker, K Taskova Artificial Intelligence Review 57 (11), 296, 2024 | 68* | 2024 |
| 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 | 60 | 2012 |
| 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 | 43 | 2021 |
| 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 | 31 | 2016 |
| 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 | 27 | 2005 |
| 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 | 23 | 2020 |
| 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 | 23 | 2015 |
| 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 | 21 | 2024 |
| 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 | 20 | 2021 |
| 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 | 19 | 2008 |
| 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 | 18 | 2021 |
| Advancements in biotransformation pathway prediction: enhancements, datasets, and novel functionalities in enviPath J Hafner, T Lorsbach, S Schmidt, L Brydon, K Dost, K Zhang, K Fenner, ... Journal of Cheminformatics 16 (1), 93, 2024 | 17 | 2024 |
| 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 | 17 | 2018 |
Stefan KramerProfessor of Computer Science, Johannes Gutenberg University MainzVerified email at informatik.uni-mainz.de
