Inductive Databases in the Relational Model: The Data as the Bridge. - Stefan Kramer 001; Volker Aufschild; Andreas Hapfelmeier; Alexander Jarasch; Kristina Kessler; Stefan Reckow; Jörg Wicker; Lothar Richter (KDID, 2005)

An inductive database and query language in the relational model. - Lothar Richter; Jörg Wicker; Kristina Kessler; Stefan Kramer 001 (EDBT, 2008)

SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model. - Jörg Wicker; Lothar Richter; Kristina Kessler; Stefan Kramer 001 (ECML/PKDD (2), 2008)

SINDBAD and SiQL: Overview, Applications and Future Developments. - Jörg Wicker; Lothar Richter; Stefan Kramer 001 (Inductive Databases and Constraint-Based Data Mining, 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 001 (Bioinform., 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 001; Tobias Girschick; Fabian Buchwald; et al. (J. Cheminformatics, 2010)

Multi-label classification using boolean matrix decomposition. - Jörg Wicker; Bernhard Pfahringer; Stefan Kramer 001 (SAC, 2012)

Large classifier systems in bio- and cheminformatics. - Jörg Wicker (2013)

BMaD - A Boolean Matrix Decomposition Framework. - Andrey Tyukin; Stefan Kramer 001; Jörg Wicker (ECML/PKDD (3), 2014)

Cinema Data Mining: The Smell of Fear. - Jörg Wicker; Nicolas Krauter; Bettina Derstorff; Christof Stönner; Efstratios Bourtsoukidis; Thomas Klüpfel; Jonathan Williams; Stefan Kramer 001 (KDD, 2015)

Scavenger - A Framework for Efficient Evaluation of Dynamic and Modular Algorithms. - Andrey Tyukin; Stefan Kramer 001; Jörg Wicker (ECML/PKDD (3), 2015)

A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders. - Jörg Wicker; Andrey Tyukin; Stefan Kramer 001 (PAKDD (1), 2016)

Trading off accuracy for efficiency by randomized greedy warping. - Atif Raza; Jörg Wicker; Stefan Kramer 001 (SAC, 2016)

enviPath - The environmental contaminant biotransformation pathway resource. - Jörg Wicker; Tim Lorsbach; Martin Gütlein; Emanuel Schmid; Diogo Latino; Stefan Kramer 001; Kathrin Fenner (Nucleic Acids Res., 2016)

A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction. - Jörg Wicker; Kathrin Fenner; Stefan Kramer 001 (Computational Sustainability, 2016)

The best privacy defense is a good privacy offense: obfuscating a search engine user's profile. - Jörg Wicker; Stefan Kramer 001 (Data Min. Knowl. Discov., 2017)

XOR-Based Boolean Matrix Decomposition. - Jörg Wicker; Yan Cathy Hua; Rayner Rebello; Bernhard Pfahringer (ICDM, 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 (PKDD/ECML Workshops (2), 2019)

Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias. - Katharina Dost; Katerina Taskova; Patricia Riddle; Jörg Wicker (ICDM, 2020)

Balancing Utility and Fairness against Privacy in Medical Data. - Andrew Chester 002; Yun Sing Koh; Jörg Wicker; Quan Sun; Junjae Lee (SSCI, 2020)

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 (IROS, 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)

Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning. - Luke Chang; Katharina Dost; Kaiqi Zhao 001; Ambra Demontis; Fabio Roli; Gill Dobbie; Jörg Wicker (CoRR, 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)

Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation. - Olivier Graffeuille; Yun Sing Koh; Jörg Wicker; Moritz K. Lehmann (AAAI, 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 (BCB, 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 (IROS, 2022)

Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Bias. - Katharina Dost; Hamish Duncanson; Ioannis Ziogas; Patricia Riddle; Jörg Wicker (PAKDD (2), 2022)

BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability. - Xinglong Chang; Katharina Dost; Kaiqi Zhao 001; Ambra Demontis; Fabio Roli; Gillian Dobbie; Jörg Wicker (PAKDD (1), 2023)

Targeted Attacks on Time Series Forecasting. - Zeyu Chen; Katharina Dost; Xuan Zhu; Xinglong Chang; Gillian Dobbie; Jörg Wicker (PAKDD (4), 2023)

Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments. - Zac Pullar-Strecker; Xinglong Chang; Liam Brydon; Ioannis Ziogas; Katharina Dost; Jörg Wicker (ECML/PKDD (7), 2023)

Fast Adversarial Label-Flipping Attack on Tabular Data. - Xinglong Chang; Gillian Dobbie; Jörg Wicker (CoRR, 2023)

Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks. - Xinglong Chang; Katharina Dost; Gillian Dobbie; Jörg Wicker (CoRR, 2023)

A Systematic Review of Aspect-based Sentiment Analysis (ABSA): Domains, Methods, and Trends. - Yan Cathy Hua; Paul Denny 001; Katerina Taskova; Jörg Wicker (CoRR, 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, 2023)

Resource-Constrained Binary Image Classification. - Sean Park; Jörg Wicker; Katharina Dost (DS (2), 2024)

Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach. - Olivier Graffeuille; Yun Sing Koh; Jörg Wicker; Moritz K. Lehmann (IJCAI, 2024)

Attacking the Loop: Adversarial Attacks on Graph-Based Loop Closure Detection. - Jonathan J. Y. Kim; Martin Urschler; Patricia J. Riddle; Jörg S. Wicker (VISIGRAPP (4): VISAPP, 2024)

Enabling Asymmetric Knowledge Transfer in Multi-Task Learning with Self-Auxiliaries. - Olivier Graffeuille; Yun Sing Koh; Jörg S. Wicker; Moritz K. Lehmann (CoRR, 2024)

From What You See to What We Smell: Linking Human Emotions to Bio-Markers in Breath. - Joshua Bensemann; Hasnain Cheena; David Tse Jung Huang; Elizabeth Broadbent; Jonathan Williams; Jörg Wicker (IEEE Trans. Affect. Comput., 2024)

Hitting the target: stopping active learning at the cost-based optimum. - Zac Pullar-Strecker; Katharina Dost; Eibe Frank; Jörg Wicker (Mach. Learn., 2024)

Scripts for PDF Mining and Auto-screening for Literature Reviews. - Yan Cathy Hua; Paul Denny 001; Jörg Wicker; Katerina Taskova (Zenodo, 2024)

EnviFormer. - Liam Brydon; Kunyang Zhang; Gillian Dobbie; Katerina Taskova; Jörg Simon Wicker (Zenodo, 2024)

Regional bias in monolingual English language models. - Jiachen Lyu; Katharina Dost; Yun Sing Koh; Jörg Wicker (Mach. Learn., 2024)

A systematic review of aspect-based sentiment analysis: domains, methods, and trends. - Yan Cathy Hua; Paul Denny 001; Jörg Wicker; Katerina Taskova (Artif. Intell. Rev., 2024)

Advancements in biotransformation pathway prediction: enhancements, datasets, and novel functionalities in enviPath. - Jasmin Hafner; Tim Lorsbach; Sebastian Schmidt; Liam Brydon; Katharina Dost; Kunyang Zhang; Kathrin Fenner; Jörg Wicker (J. Cheminformatics, 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, 2024)

Forecasting severe respiratory disease hospitalizations using machine learning algorithms. - Steffen Albrecht; David Broderick; Katharina Dost; Isabella Cheung; Nhung Nghiem; Milton Wu; Johnny Zhu; Nooriyan Poonawala-Lohani; Sarah Jamison; Damayanthi Rasanathan; Sue Huang; Adrian Trenholme; et al. (BMC Medical Informatics Decis. Mak., 2024)

Assessing the risk of discriminatory bias in classification datasets. - Kejun Dai; Jonathan Kim; Saso Dzeroski; Jörg Wicker; Gillian Dobbie; Katharina Dost (Mach. Learn., 2025)

Predictive modeling of biodegradation pathways using transformer architectures. - Liam Brydon; Kunyang Zhang; Gillian Dobbie; Katerina Taskova; Jörg Simon Wicker (J. Cheminformatics, 2025)