Jörg Wicker

University of Auckland — New Zealand

Computer Science · Physical Sciences

15h-index1.1kcitations97works3.12yr avg
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Research Topics

Computational Drug Discovery Methods(15), Anomaly Detection Techniques and Applications(9), Adversarial Robustness in Machine Learning(9), Machine Learning and Data Classification(8), Analytical Chemistry and Chromatography(6)

Publications97 total

Self-Purification: Enhancing Adversarial Defense by Leveraging Local Relative Robustness
Expert Systems with Applications·2026
Freshwater modeling in Aotearoa New Zealand: Current practice and future directions
Environmental Modelling & Software·2025Open Access
Predicting Enzyme-Compound Interactions for Enzyme-Catalysed Reactions
2025Open Access
Data-Efficient Adaptation and a Novel Evaluation Method for Aspect-based Sentiment Analysis
arXiv (Cornell University)·2025Open Access
Continual learning: A systematic literature review
Neural Networks·2025Open Access
The EduRABSA Dataset and the ASQE-DPT Annotation Tool
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
The EduRABSA Dataset and the ASQE-DPT Annotation Tool
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
Assessing the risk of discriminatory bias in classification datasets
Machine Learning·2025· 1 citedOpen Access
Assessing the Risk of Discriminatory Bias in Classification Datasets
2025Open Access
How does a GPT perform in Forecasting Severe Respiratory Disease Hospitalizations?
2025Open Access
Unraveling ADHD: genes, co-occurring traits, and developmental dynamics
Life Science Alliance·2025· 2 citedOpen Access
Predictive modeling of biodegradation pathways using transformer architectures
Journal of Cheminformatics·2025· 4 citedOpen Access
Don't Swim in Data: Real-Time Microbial Forecasting for New Zealand Recreational Waters
SSRN Electronic Journal·2025· 2 citedOpen Access
Resource-Constrained Binary Image Classification
Lecture notes in computer science·2025
Freshwater Quality Modeling in Aotearoa New Zealand: Current Practice and Future Directions
SSRN Electronic Journal·2025Open Access
Predictive Modeling of Biodegradation Pathways Using Transformer Architectures
2024Open Access
Predictive Modeling of Biodegradation Pathways Using Transformer Architectures
2024Open Access
Enabling Asymmetric Knowledge Transfer in Multi-Task Learning with Self-Auxiliaries
arXiv (Cornell University)·2024· 1 citedOpen Access
Forecasting severe respiratory disease hospitalizations using machine learning algorithms
BMC Medical Informatics and Decision Making·2024· 10 citedOpen Access
A systematic review of aspect-based sentiment analysis: domains, methods, and trends
Artificial Intelligence Review·2024· 43 citedOpen Access
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Frequent Co-authors

Katharina Dost(11), Stefan Krämer(10), Patricia Riddle(9), Tim Lorsbach(6), Kathrin Fenner(5), Sebastian Schmidt(5), Stefan Krämer(4), Samuel Roeslin(4), Quincy Ma(4), Liam Wotherspoon(4), Katerina Taškova(4), J. Y. C. Tam(4), Jonathan J. Y. Kim(4), Martin Urschler(4), Martin Gütlein(3), Jonathan Williams(3), Christof Stönner(3), Efstratios Bourtsoukidis(3), T. Klüpfel(3), Kristina Kessler(3)