Jörg Wicker

According to our database, Jörg Wicker authored at least 38 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AdductHunter: identifying protein-metal complex adducts in mass spectra.

Derek Long, Liam Eade, Matthew P. Sullivan, Katharina Dost, Samuel M. Meier-Menches, David C. Goldstone, Christian G. Hartinger, Jörg S. Wicker, Katerina Taskova

J. Cheminformatics, December, 2024

Hitting the target: stopping active learning at the cost-based optimum.

Zac Pullar-Strecker, Katharina Dost, Eibe Frank, Jörg Wicker

Mach. Learn., April, 2024

Attacking the Loop: Adversarial Attacks on Graph-Based Loop Closure Detection.

Jonathan J. Y. Kim, Martin Urschler, Patricia J. Riddle, Jörg S. Wicker

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Combatting over-specialization bias in growing chemical databases.

Katharina Dost, Zac Pullar-Strecker, Liam Brydon, Kunyang Zhang, Jasmin Hafner, Patricia J. Riddle, Jörg S. Wicker

J. Cheminformatics, December, 2023

A Systematic Review of Aspect-based Sentiment Analysis (ABSA): Domains, Methods, and Trends.

Yan Cathy Hua, Paul Denny, Katerina Taskova, Jörg Wicker

CoRR, 2023

Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks.

Xinglong Chang, Katharina Dost, Gillian Dobbie, Jörg Wicker

CoRR, 2023

Fast Adversarial Label-Flipping Attack on Tabular Data.

Xinglong Chang, Gillian Dobbie, Jörg Wicker

CoRR, 2023

Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments.

Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Targeted Attacks on Time Series Forecasting.

Zeyu Chen, Katharina Dost, Xuan Zhu, Xinglong Chang, Gillian Dobbie, Jörg Wicker

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability.

Xinglong Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gillian Dobbie, Jörg Wicker

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022

Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Bias.

Katharina Dost, Hamish Duncanson, Ioannis Ziogas, Patricia Riddle, Jörg Wicker

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes.

Jonathan J. Y. Kim, Martin Urschler, Patricia J. Riddle, Jörg S. Wicker

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Geographic ensembles of observations using randomised ensembles of autoregression chains: ensemble methods for spatio-temporal time series forecasting of influenza-like illness.

Nooriyan Poonawala-Lohani, Patricia Riddle, Mehnaz Adnan, Jörg Wicker

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation.

Olivier Graffeuille, Yun Sing Koh, Jörg Wicker, Moritz K. Lehmann

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Holistic evaluation of biodegradation pathway prediction: assessing multi-step reactions and intermediate products.

Jason Y. C. Tam, Tim Lorsbach, Sebastian Schmidt, Jörg Wicker

J. Cheminformatics, 2021

Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning.

Luke Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gill Dobbie, Jörg Wicker

CoRR, 2021

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

Tomaz Stepisnik, Blaz Skrlj, Jörg Wicker, Dragi Kocev

Comput. Biol. Medicine, 2021

SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words.

Jonathan J. Y. Kim, Martin Urschler, Patricia J. Riddle, Jörg S. Wicker

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Balancing Utility and Fairness against Privacy in Medical Data.

Andrew Chester, Yun Sing Koh, Jörg Wicker, Quan Sun, Junjae Lee

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

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

Katharina Dost, Katerina Taskova, Patricia Riddle, Jörg Wicker

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Data Integration for the Development of a Seismic Loss Prediction Model for Residential Buildings in New Zealand.

Samuel Roeslin, Quincy Ma, Jörg Wicker, Liam Wotherspoon

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

XOR-Based Boolean Matrix Decomposition.

Jörg Wicker, Yan Cathy Hua, Rayner Rebello, Bernhard Pfahringer

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2017

The best privacy defense is a good privacy offense: obfuscating a search engine user's profile.

Jörg Wicker, Stefan Kramer

Data Min. Knowl. Discov., 2017

2016

A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction.

Jörg Wicker, Kathrin Fenner, Stefan Kramer

Proceedings of the Computational Sustainability, 2016

enviPath - The environmental contaminant biotransformation pathway resource.

Jörg Wicker, Tim Lorsbach, Martin Gütlein, Emanuel Schmid, Diogo Latino, Stefan Kramer, Kathrin Fenner

Nucleic Acids Res., 2016

Trading off accuracy for efficiency by randomized greedy warping.

Atif Raza, Jörg Wicker, Stefan Kramer

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders.

Jörg Wicker, Andrey Tyukin, Stefan Kramer

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

2015

Scavenger - A Framework for Efficient Evaluation of Dynamic and Modular Algorithms.

Andrey Tyukin, Stefan Kramer, Jörg Wicker

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Cinema Data Mining: The Smell of Fear.

Jörg Wicker, Nicolas Krauter, Bettina Derstorff, Christof Stönner, Efstratios Bourtsoukidis, Thomas Klüpfel, Jonathan Williams, Stefan Kramer

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

BMaD - A Boolean Matrix Decomposition Framework.

Andrey Tyukin, Stefan Kramer, Jörg Wicker

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013

Large classifier systems in bio- and cheminformatics.

Jörg Wicker

PhD thesis, 2013

2012

Multi-label classification using boolean matrix decomposition.

Jörg Wicker, Bernhard Pfahringer, Stefan Kramer

Proceedings of the ACM Symposium on Applied Computing, 2012

2010

Collaborative development of predictive toxicology applications.

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

J. Cheminformatics, 2010

Predicting biodegradation products and pathways: a hybrid knowledge- and machine learning-based approach.

Jörg Wicker, Kathrin Fenner, Lynda B. M. Ellis, Lawrence P. Wackett, Stefan Kramer

Bioinform., 2010

SINDBAD and SiQL: Overview, Applications and Future Developments.

Jörg Wicker, Lothar Richter, Stefan Kramer

Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2008

SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model.

Jörg Wicker, Lothar Richter, Kristina Kessler, Stefan Kramer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

An inductive database and query language in the relational model.

Lothar Richter, Jörg Wicker, Kristina Kessler, Stefan Kramer

Proceedings of the EDBT 2008, 2008

2005

Inductive Databases in the Relational Model: The Data as the Bridge.

Stefan Kramer, Volker Aufschild, Andreas Hapfelmeier, Alexander Jarasch, Kristina Kessler, Stefan Reckow, Jörg Wicker, Lothar Richter

Proceedings of the Knowledge Discovery in Inductive Databases, 4th International Workshop, 2005