Felix Bießmann

Orcid: 0000-0002-3422-1026

According to our database1, Felix Bießmann authored at least 53 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Interpretable Time Series Models for Wastewater Modeling in Combined Sewer Overflows.
CoRR, 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

GreenDB: Toward a Product-by-Product Sustainability Database.
CoRR, 2022

Search Filter Ranking with Language-Aware Label Embeddings.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Changes in Policy Preferences in German Tweets During the COVID Pandemic.
Proceedings of the Social Informatics - 13th International Conference, 2022

2021
A Benchmark for Data Imputation Methods.
Frontiers Big Data, 2021

Automated Data Validation in Machine Learning Systems.
IEEE Data Eng. Bull., 2021

More Than Words: Towards Better Quality Interpretations of Text Classifiers.
CoRR, 2021

Quality Metrics for Transparent Machine Learning With and Without Humans In the Loop Are Not Correlated.
CoRR, 2021

A Turing Test for Transparency.
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
Transparency and trust in artificial intelligence systems.
J. Decis. Syst., 2020

Sensor Artificial Intelligence and its Application to Space Systems - A White Paper.
CoRR, 2020

Learning to Validate the Predictions of Black Box Classifiers on Unseen Data.
Proceedings of the 2020 International Conference on Management of Data, 2020

Inter-subject correlations during natural viewing: A filter-bank approach.
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
DataWig: Missing Value Imputation for Tables.
J. Mach. Learn. Res., 2019

A psychophysics approach for quantitative comparison of interpretable computer vision models.
CoRR, 2019

Quantifying Interpretability and Trust in Machine Learning Systems.
CoRR, 2019

Unit Testing Data with Deequ.
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

Differential Data Quality Verification on Partitioned Data.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Automating Large-Scale Data Quality Verification.
Proc. VLDB Endow., 2018

On Challenges in Machine Learning Model Management.
IEEE Data Eng. Bull., 2018

"Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2016
Doubly stochastic large scale kernel learning with the empirical kernel map.
CoRR, 2016

Automating Political Bias Prediction.
CoRR, 2016

Structural Patterns in the Rise of Germany's New Right on Facebook.
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

EEG-based neural decoding of Intelligence Questions.
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

Stereoscopic depth increases intersubject correlations of brain networks.
NeuroImage, 2014

Single-trials ERPs predict correct answers to intelligence test questions.
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

Data-driven multisubject neuroimaging analyses for naturalistic stimuli.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Reconstruction of hand movements from EEG signals based on non-linear regression.
Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014

Multimodal integration of electrophysiological and hemodynamic signals.
Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014

2013
Integration of Multivariate Data Streams With Bandpower Signals.
IEEE Trans. Multim., 2013

2012
Data-driven analysis for multimodal neuroimaging.
PhD thesis, 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

Quantifying spatiotemporal dynamics of twitter replies to news feeds.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Canonical Trends: Detecting Trend Setters in Web Data.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

2010
Temporal kernel CCA and its application in multimodal neuronal data analysis.
Mach. Learn., 2010

Analysing Dependency Dynamics in Web Data.
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


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