Jörg Wicker
Orcid: 0000-0003-0533-3368
According to our database1,
Jörg Wicker
authored at least 45 papers
between 2005 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on zbmath.org
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on orcid.org
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on d-nb.info
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on dl.acm.org
On csauthors.net:
Bibliography
2024
Forecasting severe respiratory disease hospitalizations using machine learning algorithms.
BMC Medical Informatics Decis. Mak., December, 2024
J. Cheminformatics, December, 2024
Advancements in biotransformation pathway prediction: enhancements, datasets, and novel functionalities in enviPath.
J. Cheminformatics, December, 2024
A systematic review of aspect-based sentiment analysis: domains, methods, and trends.
Artif. Intell. Rev., November, 2024
Mach. Learn., April, 2024
IEEE Trans. Affect. Comput., 2024
CoRR, 2024
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
2023
J. Cheminformatics, December, 2023
A Systematic Review of Aspect-based Sentiment Analysis (ABSA): Domains, Methods, and Trends.
CoRR, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
2022
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.
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.
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.
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.
J. Cheminformatics, 2021
Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning.
CoRR, 2021
A comprehensive comparison of molecular feature representations for use in predictive modeling.
Comput. Biol. Medicine, 2021
SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
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.
Data Min. Knowl. Discov., 2017
2016
A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction.
Proceedings of the Computational Sustainability, 2016
Nucleic Acids Res., 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
2013
2012
Proceedings of the ACM Symposium on Applied Computing, 2012
2010
J. Cheminformatics, 2010
Predicting biodegradation products and pathways: a hybrid knowledge- and machine learning-based approach.
Bioinform., 2010
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010
2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Proceedings of the EDBT 2008, 2008
2005
Proceedings of the Knowledge Discovery in Inductive Databases, 4th International Workshop, 2005