Felix Bießmann
Orcid: 0000-0002-3422-1026
According to our database1,
Felix Bießmann
authored at least 66 papers
between 2008 and 2024.
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Bibliography
2024
Towards Transnational Fairness in Machine Learning: A Case Study in Disaster Response Systems.
Minds Mach., June, 2024
Mach. Learn. Knowl. Extr., June, 2024
Confident Teacher, Confident Student? A Novel User Study Design for Investigating the Didactic Potential of Explanations and their Impact on Uncertainty.
CoRR, 2024
Generating Synthetic Satellite Imagery for Rare Objects: An Empirical Comparison of Models and Metrics.
CoRR, 2024
Data-driven Modeling of Combined Sewer Systems for Urban Sustainability: An Empirical Evaluation.
CoRR, 2024
TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors.
CoRR, 2024
Automated Computational Energy Minimization of ML Algorithms using Constrained Bayesian Optimization.
CoRR, 2024
Using Game Engines and Machine Learning to Create Synthetic Satellite Imagery for a Tabletop Verification Exercise.
CoRR, 2024
Generating Synthetic Satellite Imagery With Deep-Learning Text-to-Image Models - Technical Challenges and Implications for Monitoring and Verification.
CoRR, 2024
Interpretable Time Series Models for Wastewater Modeling in Combined Sewer Overflows.
CoRR, 2024
Proceedings of the Explainable Artificial Intelligence, 2024
From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictive Performance.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
CycleSense: Detecting near miss incidents in bicycle traffic from mobile motion sensors.
Pervasive Mob. Comput., 2023
Automated Extraction of Fine-Grained Standardized Product Information from Unstructured Multilingual Web Data.
Proceedings of the Advances in Information Retrieval, 2023
2022
GreenDB - A Dataset and Benchmark for Extraction of Sustainability Information of Consumer Goods.
CoRR, 2022
Towards ML Methods for Biodiversity: A Novel Wild Bee Dataset and Evaluations of XAI Methods for ML-Assisted Rare Species Annotations.
CoRR, 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Proceedings of the Social Informatics - 13th International Conference, 2022
2021
CoRR, 2021
Quality Metrics for Transparent Machine Learning With and Without Humans In the Loop Are Not Correlated.
CoRR, 2021
An Interactive Garment for Orchestra Conducting: IoT-enabled Textile & Machine Learning to Direct Musical Performance.
Proceedings of the TEI '21: Fifteenth International Conference on Tangible, 2021
Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
JENGA - A Framework to Study the Impact of Data Errors on the Predictions of Machine Learning Models.
Proceedings of the 24th International Conference on Extending Database Technology, 2021
2020
CoRR, 2020
Proceedings of the 2020 International Conference on Management of Data, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Calibrating Human-AI Collaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias.
Proceedings of the Machine Learning and Knowledge Extraction, 2020
2019
A psychophysics approach for quantitative comparison of interpretable computer vision models.
CoRR, 2019
Proceedings of the 2019 International Conference on Management of Data, 2019
Learning to Validate the Predictions of Black Box Machine Learning Models on Unseen Data.
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2016
CoRR, 2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
2015
Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces.
Proc. IEEE, 2015
Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data.
Proc. IEEE, 2015
Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015
2014
On the interpretation of weight vectors of linear models in multivariate neuroimaging.
NeuroImage, 2014
NeuroImage, 2014
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Parameter interpretation, regularization and source localization in multivariate linear models.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014
Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014
2013
IEEE Trans. Multim., 2013
2012
Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions.
NeuroImage, 2012
Simultaneous and proportional control of 2D wrist movements with myoelectric signals.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
2010
Mach. Learn., 2010
Proceedings of the Linked Data Meets Artificial Intelligence, 2010
2008
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008