Jörg Simon Wicker

Senior Lecturer | School of Computer Science | The University of Auckland
Senior Lecturer | School of Computer Science | The University of Auckland

I am senior lecturer at the School of Computer Science of the University of Auckland, CTO of enviPath, and lead the Machine Learning Group at UoA. My main research area is machine learning and its application to bioinformatics, cheminformatics, and computational sustainability. Before joining the University of Auckland in 2017, I did a PostDoc at University of Mainz, Germany, and a PhD at Technical University of Munich, Germany. I am always interested in interesting new research areas both for applied and non-applied machine learning, currently, I am particularly interest in reliability of machine learning algorithms, adversarial machine learning, and bias, with applications in chemistry, epidemiology, and environmental research.

I am currently looking for new PhD, Honours, or Masters students. I typically accept two new PhD students per year. If you are interested, check my research areas and contact me by mail with you CV attached. Also check the Supervision page for funding information.

We won the Ig Nobel Prize!

Together with Nicolas Krauter, Bettina Derstroff, Christof Stönner, Efstratios Bourtsoukidis, Achim Edtbauer, Jochen Wulf, Thomas Klüpfel, Stefan Kramer, and Jonathan […]

Journal Articles

Bensemann, Joshua; Cheena, Hasnain; Huang, David Tse Juang; Broadbendt, Elizabeth; Williams, Jonathan; Wicker, Jörg

From What You See to What We Smell: Linking Human Emotions to Biomarkers in Breath Journal Article Forthcoming

In: Forthcoming.

Abstract | BibTeX

Roeslin, Samuel; Ma, Quincy; Chigullapally, Pavan; Wicker, Jörg; Wotherspoon, Liam

Development of a Seismic Loss Prediction Model for Residential Buildings using Machine Learning – Christchurch, New Zealand Journal Article

In: Natural Hazards and Earth System Sciences, vol. 23, no. 3, pp. 1207-1226, 2023.

Abstract | Links | BibTeX | Altmetric

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

Hitting the Target: Stopping Active Learning at the Cost-Based Optimum Journal Article

In: Machine Learning, 2022.

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Dost, Katharina; Pullar-Strecker, Zac; Brydon, Liam; Zhang, Kunyang; Hafner, Jasmin; Riddle, Pat; Wicker, Jörg

Combatting Over-Specialization Bias in Growing Chemical Databases Journal Article Forthcoming

In: Research Square, Forthcoming, (preprint).

Abstract | Links | BibTeX | Altmetric

Inproceedings

Chang, Luke; Dost, Katharina; Zhai, Kaiqi; Demontis, Ambra; Roli, Fabio; Dobbie, Gillian; Wicker, Jörg

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

In: Proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Forthcoming.

BibTeX

Chen, Mark; Dost, Katharina; Zhu, Johnny; Dobbie, Gillian; Wicker, Jörg

Targeted Attacks on Time Series Forecasting Inproceedings Forthcoming

In: Proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Forthcoming.

BibTeX

Kim, Jonathan; Urschler, Martin; Riddle, Pat; Wicker, Jörg

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

In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), pp. 4352-4358, 2022.

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Poonawala-Lohani, Nooriyan; Riddle, Pat; Adnan, Mehnaz; Wicker, Jörg

Geographic Ensembles of Observations using Randomised Ensembles of Autoregression Chains: Ensemble methods for spatio-temporal Time Series Forecasting of Influenza-like Illness Inproceedings

In: Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, pp. 1-7, Association for Computing Machinery, New York, NY, USA, 2022, ISBN: 9781450393867.

Abstract | Links | BibTeX | Altmetric

Graffeuille, Olivier; Koh, Yun Sing; Wicker, Jörg; Lehmann, Moritz

Semi-Supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation Inproceedings

In: Proceedings of the AAAI Conference on Artificial Intelligence,, pp. 6746-6754, 2022.

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Dost, Katharina; Duncanson, Hamish; Ziogas, Ioannis; Riddle, Pat; Wicker, Jörg

Divide and Imitate: Multi-Cluster Identification and Mitigation of Selection Bias Inproceedings

In: 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2022), pp. 149–160, Springer-Verlag, Berlin, Heidelberg, 2022, ISBN: 978-3-031-05935-3.

Abstract | Links | BibTeX | Altmetric

Poonawala-Lohani, Nooriyan; Riddle, Pat; Adnan, Mehnaz; Wicker, Jörg

A Novel Approach for Time Series Forecasting of Influenza-like Illness Using a Regression Chain Method Inproceedings

In: Altman, Russ; Dunker, Keith; Hunter, Lawrence; Ritchie, Marylyn; Murray, Tiffany; Klein, Teri (Ed.): Pacific Symposium on Biocomputing, pp. 301-312, 2022.

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