data mining

A comprehensive comparison of molecular feature representations for use in predictive modeling

13/01/2021 by Jörg Simon Wicker

Tomaž Stepišnik, Blaž Škrlj, Jörg Wicker, Dragi Kocev: A comprehensive comparison of molecular feature representations for use in predictive modeling. In: Computers in Biology and Medicine, 130 , pp. 104197, 2021, ISSN: 0010-4825.

Balancing Utility and Fairness against Privacy in Medical Data

28/09/2020 by Jörg Simon Wicker

Andrew Chester, Yun Sing Koh, Jörg Wicker, Quan Sun, Junjae Lee: Balancing Utility and Fairness against Privacy in Medical Data. In: IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1226-1233, IEEE, 2020.

Feature Engineering for a Seismic Loss Prediction Model using Machine Learning, Christchurch Experience

24/02/202117/09/2020 by Jörg Simon Wicker

Samuel Roeslin, Quincy Ma, and Pavan Chigullapally, Jörg Wicker, Liam Wotherspoon: Feature Engineering for a Seismic Loss Prediction Model using Machine Learning, Christchurch Experience. In: 17th World Conference on Earthquake Engineering, 2020.

Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias

25/08/202024/08/2020 by Jörg Simon Wicker

Katharina Dost, Katerina Taskova, Pat Riddle, Jörg Wicker: Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias. In: 2020 IEEE International Conference on Data Mining (ICDM), pp. 996-1001, IEEE, 2020, ISSN: 2374-8486.

A machine learning damage prediction model for the 2017 Puebla-Morelos, Mexico, earthquake

05/08/202030/07/2020 by Jörg Simon Wicker

Samuel Roeslin, Quincy Ma, Hugon Juárez-Garcia, Alonso Gómez-Bernal, Jörg Wicker, Liam Wotherspoon: A machine learning damage prediction model for the 2017 Puebla-Morelos, Mexico, earthquake. In: Earthquake Spectra, 36 (2), pp. 314-339, 2020.

XOR-based Boolean Matrix Decomposition

06/02/202008/11/2019 by Jörg Simon Wicker

Jörg Wicker, Yan Cathy Hua, Rayner Rebello, Bernhard Pfahringer: XOR-based Boolean Matrix Decomposition. In: Wang, Jianyong; Shim, Kyuseok; Wu, Xindong (Ed.): 2019 IEEE International Conference on Data Mining (ICDM), pp. 638-647, IEEE, 2019, ISBN: 978-1-7281-4604-1.

What can we learn from the air chemistry of crowds

10/05/2019 by Jörg Simon Wicker

Jonathan Williams, Christof Stönner, Achim Edtbauer, Bettina Derstorff, Efstratios Bourtsoukidis, Thomas Klüpfel, Nicolas Krauter, Jörg Wicker, Stefan Kramer: What can we learn from the air chemistry of crowds?. In: Hansel, Armin; Dunkl, Jürgen (Ed.): 8th International Conference on Proton Transfer Reaction Mass Spectrometry and its Applications, pp. 121-123, Innsbruck University Press, Innsbruck, 2019.

The Best Privacy Defense is a Good Privacy Offense: Obfuscating a Search Engine User’s Profile

06/02/202001/09/2017 by Jörg Simon Wicker

Jörg Wicker, Stefan Kramer: The Best Privacy Defense is a Good Privacy Offense: Obfuscating a Search Engine User's Profile. In: Data Mining and Knowledge Discovery, 31 (5), pp. 1419-1443, 2017, ISSN: 1573-756X.

Large Classifier Systems in Bio- and Cheminformatics

06/02/202001/01/2013 by Jörg Simon Wicker

Jörg Wicker: Large Classifier Systems in Bio- and Cheminformatics. Technische Universität München, 2013.

Collaborative development of predictive toxicology applications

06/02/202001/01/2010 by Jörg Simon Wicker

Barry Hardy, Nicki Douglas, Christoph Helma, Micha Rautenberg, Nina Jeliazkova, Vedrin Jeliazkov, Ivelina Nikolova, Romualdo Benigni, Olga Tcheremenskaia, Stefan Kramer, Tobias Girschick, Fabian Buchwald, Jörg Wicker, Andreas Karwath, Martin Gütlein, Andreas Maunz, Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, Pantelis Sopasakis, David Gallagher, Vladimir Poroikov, Dmitry Filimonov, Alexey Zakharov, Alexey Lagunin, Tatyana Gloriozova, Sergey Novikov, Natalia Skvortsova, Dmitry Druzhilovsky, Sunil Chawla, Indira Ghosh, Surajit Ray, Hitesh Patel, Sylvia Escher: Collaborative development of predictive toxicology applications. In: Journal of Cheminformatics, 2 (1), pp. 7, 2010, ISSN: 1758-2946.