Jörg Wicker

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 26

Top Venues

Technical University Munich (PHD)

Education History

Technical University Munich

PHD

Publications

Jasmin Hafner, Tim Lorsbach, Sebastian Schmidt, Liam Brydon, Katharina Dost, Kunyang Zhang, Kathrin Fenner, Jörg Wicker
Advancements in biotransformation pathway prediction: enhancements, datasets, and novel functionalities in enviPath. J. Cheminformatics 16 (1) (2024)
Jiachen Lyu, Katharina Dost, Yun Sing Koh, Jörg Wicker
Regional bias in monolingual English language models. Mach. Learn. 113 (9) (2024)
Joshua Bensemann, Hasnain Cheena, David Tse Jung Huang, Elizabeth Broadbent, Jonathan Williams, Jörg Wicker
From What You See to What We Smell: Linking Human Emotions to Bio-Markers in Breath. IEEE Trans. Affect. Comput. 15 (2) (2024)
Zac Pullar-Strecker, Katharina Dost, Eibe Frank, Jörg Wicker
Hitting the target: stopping active learning at the cost-based optimum. Mach. Learn. 113 (4) (2024)
Zeyu Chen, Katharina Dost, Xuan Zhu, Xinglong Chang, Gillian Dobbie, Jörg Wicker
Targeted Attacks on Time Series Forecasting. PAKDD (4) (2023)
Xinglong Chang, Gillian Dobbie, Jörg Wicker
Fast Adversarial Label-Flipping Attack on Tabular Data. CoRR (2023)
Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments. ECML/PKDD (7) (2023)
Xinglong Chang, Katharina Dost, Gillian Dobbie, Jörg Wicker
Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks. CoRR (2023)
Yan Hua, Paul Denny, Katerina Taskova, Jörg Wicker
A Systematic Review of Aspect-based Sentiment Analysis (ABSA): Domains, Methods, and Trends. CoRR (2023)
Xinglong Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gillian Dobbie, Jörg Wicker
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability. PAKDD (1) (2023)
Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments. CoRR (2023)
Nooriyan Poonawala-Lohani, Patricia Riddle, Mehnaz Adnan, Jörg Wicker
Geographic ensembles of observations using randomised ensembles of autoregression chains: ensemble methods for spatio-temporal time series forecasting of influenza-like illness. BCB (2022)
Katharina Dost, Hamish Duncanson, Ioannis Ziogas, Patricia Riddle, Jörg Wicker
Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Bias. PAKDD (2) (2022)
Olivier Graffeuille, Yun Sing Koh, Jörg Wicker, Moritz K. Lehmann
Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation. AAAI (2022)
Zac Pullar-Strecker, Katharina Dost, Eibe Frank, Jörg Wicker
Hitting the Target: Stopping Active Learning at the Cost-Based Optimum. CoRR (2021)
Luke Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gill Dobbie, Jörg Wicker
Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning. CoRR (2021)
Jason Y. C. Tam, Tim Lorsbach, Sebastian Schmidt, Jörg Wicker
Holistic evaluation of biodegradation pathway prediction: assessing multi-step reactions and intermediate products. J. Cheminformatics 13 (1) (2021)
Tomaz Stepisnik, Blaz Skrlj, Jörg Wicker, Dragi Kocev
A comprehensive comparison of molecular feature representations for use in predictive modeling. Comput. Biol. Medicine 130 (2021)
Katharina Dost, Katerina Taskova, Patricia Riddle, Jörg Wicker
Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias. ICDM (2020)
Andrew Chester, Yun Sing Koh, Jörg Wicker, Quan Sun, Junjae Lee
Balancing Utility and Fairness against Privacy in Medical Data. SSCI (2020)
Samuel Roeslin, Quincy Ma, Jörg Wicker, Liam Wotherspoon
Data Integration for the Development of a Seismic Loss Prediction Model for Residential Buildings in New Zealand. PKDD/ECML Workshops (2) (2019)
Jörg Wicker, Yan Cathy Hua, Rayner Rebello, Bernhard Pfahringer
XOR-Based Boolean Matrix Decomposition. ICDM (2019)
Jörg Wicker, Stefan Kramer
The best privacy defense is a good privacy offense: obfuscating a search engine user's profile. Data Min. Knowl. Discov. 31 (5) (2017)
Jörg Wicker, Tim Lorsbach, Martin Gütlein, Emanuel Schmid, Diogo Latino, Stefan Kramer, Kathrin Fenner
enviPath - The environmental contaminant biotransformation pathway resource. Nucleic Acids Res. 44 (Database-Issue) (2016)
Jörg Wicker, Andrey Tyukin, Stefan Kramer
A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders. PAKDD (1) (2016)
Atif Raza, Jörg Wicker, Stefan Kramer
Trading off accuracy for efficiency by randomized greedy warping. SAC (2016)
Jörg Wicker, Nicolas Krauter, Bettina Derstorff, Christof Stönner, Efstratios Bourtsoukidis, Thomas Klüpfel, Jonathan Williams, Stefan Kramer
Cinema Data Mining: The Smell of Fear. KDD (2015)
Andrey Tyukin, Stefan Kramer, Jörg Wicker
Scavenger - A Framework for Efficient Evaluation of Dynamic and Modular Algorithms. ECML/PKDD (3) (2015)
Andrey Tyukin, Stefan Kramer, Jörg Wicker
BMaD - A Boolean Matrix Decomposition Framework. ECML/PKDD (3) (2014)
Jörg Wicker, Bernhard Pfahringer, Stefan Kramer
Multi-label classification using boolean matrix decomposition. SAC (2012)
Jörg Wicker, Kathrin Fenner, Lynda B. M. Ellis, Lawrence P. Wackett, Stefan Kramer
Predicting biodegradation products and pathways: a hybrid knowledge- and machine learning-based approach. Bioinform. 26 (6) (2010)
Barry J. 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 V. Zakharov, Alexey Lagunin, Tatyana Gloriozova, Sergey Novikov, Natalia Skvortsova, Dmitry S. Druzhilovskiy, Sunil Chawla, Indira Ghosh, Surajit Ray, Hitesh Patel, Sylvia Escher
Collaborative development of predictive toxicology applications. J. Cheminformatics 2 (2010)
Lothar Richter, Jörg Wicker, Kristina Kessler, Stefan Kramer
An inductive database and query language in the relational model. EDBT (2008)
Jörg Wicker, Lothar Richter, Kristina Kessler, Stefan Kramer
SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model. ECML/PKDD (2) (2008)
Stefan Kramer, Volker Aufschild, Andreas Hapfelmeier, Alexander Jarasch, Kristina Kessler, Stefan Reckow, Jörg Wicker, Lothar Richter
Inductive Databases in the Relational Model: The Data as the Bridge. KDID (2005)

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Publication Activity (10 Years)

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Jörg Wicker