Jörg Wicker

47 papers A* 5B 1Misc 2Journal 22Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Freshwater modeling in Aotearoa New Zealand: Current practice and future directions.
Environ. Model. Softw.
Katharina Dost, Kohji Muraoka, Anne-Gaelle E. Ausseil, Rubianca Benavidez, Brendon Blue, Nic Conland, Chris Daughney, Annette F. Semadeni-Davies, Linh Hoang, Anna Hooper, Theodore Alfred Kpodonu, Tapuwa Marapara, Richard McDowell, Trung Nguyen, Dang Anh Nguyet, Ned Norton, Deniz Özkundakci, Lisa Pearson, James Rolinson, Ra Smith, Tom Stephens, Reina Tamepo, Ken Taylor, Vincent van Uitregt, Bethanna Jackson, Theo Sarris, Alexander Elliott, Jörg Wicker
2026 J jnl
Self-purification: Enhancing adversarial defense by leveraging local relative robustness.
Expert Syst. Appl.
Rui Zhang, Jörg Wicker, Katharina Dost, Qinli Yang, Zeyu Chen, Junming Shao
2025 J jnl
Assessing the risk of discriminatory bias in classification datasets.
Mach. Learn.
Kejun Dai, Jonathan Kim, Saso Dzeroski, Jörg Wicker, Gillian Dobbie, Katharina Dost
2025 J jnl
Data-Efficient Adaptation and a Novel Evaluation Method for Aspect-based Sentiment Analysis.
CoRR
Yan Cathy Hua, Paul Denny, Jörg Wicker, Katerina Taskova
2025 J jnl
EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Tasks.
CoRR
Yan Cathy Hua, Paul Denny, Jörg Wicker, Katerina Taskova
2025 — conf
Understanding Rumen Methanogen Interactions in Sheep Using Machine Learning.
ECML/PKDD (8)
Katharina Dost, Steffen Albrecht, Paul H. Maclean, Jörg Wicker, Sandeep K. Gupta
2024 J jnl
A systematic review of aspect-based sentiment analysis: domains, methods, and trends.
Artif. Intell. Rev.
Yan Cathy Hua, Paul Denny, Jörg Wicker, Katerina Taskova
2024 J jnl
Advancements in biotransformation pathway prediction: enhancements, datasets, and novel functionalities in enviPath.
J. Cheminformatics
Jasmin Hafner, Tim Lorsbach, Sebastian Schmidt, Liam Brydon, Katharina Dost, Kunyang Zhang, Kathrin Fenner, Jörg Wicker
2024 J jnl
From What You See to What We Smell: Linking Human Emotions to Bio-Markers in Breath.
IEEE Trans. Affect. Comput.
Joshua Bensemann, Hasnain Cheena, David Tse Jung Huang, Elizabeth Broadbent, Jonathan Williams, Jörg Wicker
2024 J jnl
Hitting the target: stopping active learning at the cost-based optimum.
Mach. Learn.
Zac Pullar-Strecker, Katharina Dost, Eibe Frank, Jörg Wicker
2024 J jnl
Regional bias in monolingual English language models.
Mach. Learn.
Jiachen Lyu, Katharina Dost, Yun Sing Koh, Jörg Wicker
2024 A* conf
Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach.
IJCAI
Olivier Graffeuille, Yun Sing Koh, Jörg Wicker, Moritz K. Lehmann
2024 — conf
Resource-Constrained Binary Image Classification.
DS (2)
Sean Park, Jörg Wicker, Katharina Dost
2023 J jnl
A Systematic Review of Aspect-based Sentiment Analysis (ABSA): Domains, Methods, and Trends.
CoRR
Yan Cathy Hua, Paul Denny, Katerina Taskova, Jörg Wicker
2023 — conf
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability.
PAKDD (1)
Xinglong Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gillian Dobbie, Jörg Wicker
2023 J jnl
Fast Adversarial Label-Flipping Attack on Tabular Data.
CoRR
Xinglong Chang, Gillian Dobbie, Jörg Wicker
2023 — conf
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments.
ECML/PKDD (7)
Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker
2023 J jnl
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments.
CoRR
Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker
2023 J jnl
Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks.
CoRR
Xinglong Chang, Katharina Dost, Gillian Dobbie, Jörg Wicker
2023 — conf
Targeted Attacks on Time Series Forecasting.
PAKDD (4)
Zeyu Chen, Katharina Dost, Xuan Zhu, Xinglong Chang, Gillian Dobbie, Jörg Wicker
2022 — conf
Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Bias.
PAKDD (2)
Katharina Dost, Hamish Duncanson, Ioannis Ziogas, Patricia Riddle, Jörg Wicker
2022 — conf
Geographic ensembles of observations using randomised ensembles of autoregression chains: ensemble methods for spatio-temporal time series forecasting of influenza-like illness.
BCB
Nooriyan Poonawala-Lohani, Patricia Riddle, Mehnaz Adnan, Jörg Wicker
2022 A* conf
Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation.
AAAI
Olivier Graffeuille, Yun Sing Koh, Jörg Wicker, Moritz K. Lehmann
2021 J jnl
A comprehensive comparison of molecular feature representations for use in predictive modeling.
Comput. Biol. Medicine
Tomaz Stepisnik, Blaz Skrlj, Jörg Wicker, Dragi Kocev
2021 J jnl
Hitting the Target: Stopping Active Learning at the Cost-Based Optimum.
CoRR
Zac Pullar-Strecker, Katharina Dost, Eibe Frank, Jörg Wicker
2021 J jnl
Holistic evaluation of biodegradation pathway prediction: assessing multi-step reactions and intermediate products.
J. Cheminformatics
Jason Y. C. Tam, Tim Lorsbach, Sebastian Schmidt, Jörg Wicker
2021 J jnl
Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning.
CoRR
Luke Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gill Dobbie, Jörg Wicker
2020 — conf
Balancing Utility and Fairness against Privacy in Medical Data.
SSCI
Andrew Chester, Yun Sing Koh, Jörg Wicker, Quan Sun, Junjae Lee
2020 A* conf
Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias.
ICDM
Katharina Dost, Katerina Taskova, Patricia Riddle, Jörg Wicker
2019 — conf
Data Integration for the Development of a Seismic Loss Prediction Model for Residential Buildings in New Zealand.
PKDD/ECML Workshops (2)
Samuel Roeslin, Quincy Ma, Jörg Wicker, Liam Wotherspoon
2019 A* conf
XOR-Based Boolean Matrix Decomposition.
ICDM
Jörg Wicker, Yan Cathy Hua, Rayner Rebello, Bernhard Pfahringer
2017 J jnl
The best privacy defense is a good privacy offense: obfuscating a search engine user's profile.
Data Min. Knowl. Discov.
Jörg Wicker, Stefan Kramer
2016 — ch.
A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction.
Computational Sustainability
Jörg Wicker, Kathrin Fenner, Stefan Kramer
2016 — conf
A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders.
PAKDD (1)
Jörg Wicker, Andrey Tyukin, Stefan Kramer
2016 Misc conf
Trading off accuracy for efficiency by randomized greedy warping.
SAC
Atif Raza, Jörg Wicker, Stefan Kramer
2016 J jnl
enviPath - The environmental contaminant biotransformation pathway resource.
Nucleic Acids Res.
Jörg Wicker, Tim Lorsbach, Martin Gütlein, Emanuel Schmid, Diogo Latino, Stefan Kramer, Kathrin Fenner
2015 A* conf
Cinema Data Mining: The Smell of Fear.
KDD
Jörg Wicker, Nicolas Krauter, Bettina Derstorff, Christof Stönner, Efstratios Bourtsoukidis, Thomas Klüpfel, Jonathan Williams, Stefan Kramer
2015 — conf
Scavenger - A Framework for Efficient Evaluation of Dynamic and Modular Algorithms.
ECML/PKDD (3)
Andrey Tyukin, Stefan Kramer, Jörg Wicker
2014 — conf
BMaD - A Boolean Matrix Decomposition Framework.
ECML/PKDD (3)
Andrey Tyukin, Stefan Kramer, Jörg Wicker
2013 — —
Large classifier systems in bio- and cheminformatics.
Jörg Wicker
2012 Misc conf
Multi-label classification using boolean matrix decomposition.
SAC
Jörg Wicker, Bernhard Pfahringer, Stefan Kramer
2010 J jnl
Collaborative development of predictive toxicology applications.
J. Cheminformatics
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
2010 J jnl
Predicting biodegradation products and pathways: a hybrid knowledge- and machine learning-based approach.
Bioinform.
Jörg Wicker, Kathrin Fenner, Lynda B. M. Ellis, Lawrence P. Wackett, Stefan Kramer
2010 — ch.
SINDBAD and SiQL: Overview, Applications and Future Developments.
Inductive Databases and Constraint-Based Data Mining
Jörg Wicker, Lothar Richter, Stefan Kramer
2008 B conf
An inductive database and query language in the relational model.
EDBT
Lothar Richter, Jörg Wicker, Kristina Kessler, Stefan Kramer
2008 — conf
SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model.
ECML/PKDD (2)
Jörg Wicker, Lothar Richter, Kristina Kessler, Stefan Kramer
2005 — conf
Inductive Databases in the Relational Model: The Data as the Bridge.
KDID
Stefan Kramer, Volker Aufschild, Andreas Hapfelmeier, Alexander Jarasch, Kristina Kessler, Stefan Reckow, Jörg Wicker, Lothar Richter