Felix Bießmann

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 23

Top Venues

Berlin Institute of Technology (PHD)

Education History

Berlin Institute of Technology

PHD

Publications

Cem Kozcuer, Anne Mollen, Felix Bießmann
Towards Transnational Fairness in Machine Learning: A Case Study in Disaster Response Systems. Minds Mach. 34 (2) (2024)
Martin Tschaikner, Danja Brandt, Henning Schmidt, Felix Bießmann, Teodor Chiaburu, Ilona Schrimpf, Thomas Schrimpf, Alexandra Stadel, Frank Haußer, Ingeborg E. Beckers
Multisensor Data Fusion for Automatized Insect Monitoring (KInsecta). CoRR (2024)
Teodor Chiaburu, Frank Haußer, Felix Bießmann
Uncertainty in XAI: Human Perception and Modeling Approaches. Mach. Learn. Knowl. Extr. 6 (2) (2024)
Zhaolan Huang, Adrien Tousnakhoff, Polina Kozyr, Roman Rehausen, Felix Bießmann, Robert Lachlan, Cédric Adjih, Emmanuel Baccelli
TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors. CoRR (2024)
Teodor Chiaburu, Frank Haußer, Felix Bießmann
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models. CoRR (2024)
Sebastian Jäger, Arndt Allhorn, Felix Bießmann
A Benchmark for Data Imputation Methods. Frontiers Big Data 4 (2021)
Philipp Schmidt, Felix Bießmann
Calibrating Human-AI Collaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias. CD-MAKE (2020)
Anko Börner, Heinz-Wilhelm Hübers, Odej Kao, Florian Schmidt, Sören Becker, Joachim Denzler, Daniel Matolin, David Haber, Sergio Lucia, Wojciech Samek, Rudolph Triebel, Sascha Eichstädt, Felix Bießmann, Anna M. Kruspe, Peter Jung, Manon Kok, Guillermo Gallego, Ralf Berger
Sensor Artificial Intelligence and its Application to Space Systems - A White Paper. CoRR (2020)
Arslan Gait, Vladimir Duisenbinov, Min-Ho Lee, Felix Bießmann, Siamac Fazli
Inter-subject correlations during natural viewing: A filter-bank approach. EMBC (2020)
Philipp Schmidt, Felix Bießmann, Timm Teubner
Transparency and trust in artificial intelligence systems. J. Decis. Syst. 29 (4) (2020)
Sebastian Schelter, Tammo Rukat, Felix Bießmann
Learning to Validate the Predictions of Black Box Classifiers on Unseen Data. SIGMOD Conference (2020)
Sebastian Schelter, Stefan Grafberger, Philipp Schmidt, Tammo Rukat, Mario Kießling, Andrey Taptunov, Felix Bießmann, Dustin Lange
Differential Data Quality Verification on Partitioned Data. ICDE (2019)
Sebastian Schelter, Felix Bießmann, Dustin Lange, Tammo Rukat, Philipp Schmidt, Stephan Seufert, Pierre Brunelle, Andrey Taptunov
Unit Testing Data with Deequ. SIGMOD Conference (2019)
Sergey Redyuk, Sebastian Schelter, Tammo Rukat, Volker Markl, Felix Bießmann
Learning to Validate the Predictions of Black Box Machine Learning Models on Unseen Data. HILDA@SIGMOD (2019)
Felix Bießmann, Dionysius Irza Refiano
A psychophysics approach for quantitative comparison of interpretable computer vision models. CoRR (2019)
Philipp Schmidt, Felix Bießmann
Quantifying Interpretability and Trust in Machine Learning Systems. CoRR (2019)
Felix Bießmann, Tammo Rukat, Philipp Schmidt, Prathik Naidu, Sebastian Schelter, Andrey Taptunov, Dustin Lange, David Salinas
DataWig: Missing Value Imputation for Tables. J. Mach. Learn. Res. 20 (2019)
Sebastian Schelter, Dustin Lange, Philipp Schmidt, Meltem Celikel, Felix Bießmann, Andreas Grafberger
Automating Large-Scale Data Quality Verification. Proc. VLDB Endow. 11 (12) (2018)
Sebastian Schelter, Felix Bießmann, Tim Januschowski, David Salinas, Stephan Seufert, Gyuri Szarvas
On Challenges in Machine Learning Model Management. IEEE Data Eng. Bull. 41 (4) (2018)
Felix Bießmann, David Salinas, Sebastian Schelter, Philipp Schmidt, Dustin Lange
"Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data. CIKM (2018)
Felix Bießmann
Automating Political Bias Prediction. CoRR (2016)
Sebastian Schelter, Felix Bießmann, Malisa Zobel, Nedelina Teneva
Structural Patterns in the Rise of Germany's New Right on Facebook. ICDM Workshops (2016)
Nikolaas Steenbergen, Sebastian Schelter, Felix Bießmann
Doubly stochastic large scale kernel learning with the empirical kernel map. CoRR (2016)
Isabella Schlattner, Achim Leydecker, Felix Bießmann, Yiyu Chen, Siamac Fazli
EEG-based neural decoding of Intelligence Questions. BCI (2015)
Sven Dähne, Felix Bießmann, Wojciech Samek, Stefan Haufe, Dominique Goltz, Christopher Gundlach, Arno Villringer, Siamac Fazli, Klaus-Robert Müller
Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data. Proc. IEEE 103 (9) (2015)
Siamac Fazli, Sven Dähne, Wojciech Samek, Felix Bießmann, Klaus-Robert Müller
Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces. Proc. IEEE 103 (6) (2015)
Sven Dähne, Felix Bießmann, Frank C. Meinecke, Jan Mehnert, Siamac Fazli, Klaus-Robert Müller
Multimodal integration of electrophysiological and hemodynamic signals. BCI (2014)
Jeong-Hun Kim, Felix Bießmann, Seong-Whan Lee
Reconstruction of hand movements from EEG signals based on non-linear regression. BCI (2014)
Achim Leydecker, Felix Bießmann, Siamac Fazli
Single-trials ERPs predict correct answers to intelligence test questions. PRNI (2014)
Stefan Haufe, Frank C. Meinecke, Kai Görgen, Sven Dähne, John-Dylan Haynes, Benjamin Blankertz, Felix Bießmann
On the interpretation of weight vectors of linear models in multivariate neuroimaging. NeuroImage 87 (2014)
Stefan Haufe, Frank C. Meinecke, Kai Görgen, Sven Dähne, John-Dylan Haynes, Benjamin Blankertz, Felix Bießmann
Parameter interpretation, regularization and source localization in multivariate linear models. PRNI (2014)
Felix Bießmann, Michael Gaebler, Jan-Peter Lamke, Ui Jong Ju, Stefan Hetzer, Christian Wallraven, Klaus-Robert Müller
Data-driven multisubject neuroimaging analyses for naturalistic stimuli. PRNI (2014)
Michael Gaebler, Felix Bießmann, Jan-Peter Lamke, Klaus-Robert Müller, Henrik Walter, Stefan Hetzer
Stereoscopic depth increases intersubject correlations of brain networks. NeuroImage 100 (2014)
Sven Dähne, Felix Bießmann, Frank C. Meinecke, Jan Mehnert, Siamac Fazli, Klaus-Robert Müller
Integration of Multivariate Data Streams With Bandpower Signals. IEEE Trans. Multim. 15 (5) (2013)
Felix Bießmann, Jens-Michalis Papaioannou, Andreas Harth, M. L. Jugel, Klaus-Robert Müller, Mikio L. Braun
Quantifying spatiotemporal dynamics of twitter replies to news feeds. MLSP (2012)
Felix Bießmann, Yusuke Murayama, Nikos K. Logothetis, Klaus-Robert Müller, Frank C. Meinecke
Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions. NeuroImage 61 (4) (2012)
Janne Mathias Hahne, Hubertus Rehbaum, Felix Bießmann, Frank C. Meinecke, Klaus-Robert Müller, Ning Jiang, Dario Farina, Lucas C. Parra
Simultaneous and proportional control of 2D wrist movements with myoelectric signals. MLSP (2012)
Felix Bießmann, Jens-Michalis Papaioannou, Mikio L. Braun, Andreas Harth
Canonical Trends: Detecting Trend Setters in Web Data. ICML (2012)
Felix Bießmann, Yusuke Murayama, Nikos K. Logothetis, Klaus-Robert Müller, Frank C. Meinecke
Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information. MLINI (2011)
Felix Bießmann, Andreas Harth
Analysing Dependency Dynamics in Web Data. AAAI Spring Symposium: Linked Data Meets Artificial Intelligence (2010)
Felix Bießmann, Frank C. Meinecke, Arthur Gretton, Alexander Rauch, Gregor Rainer, Nikos K. Logothetis, Klaus-Robert Müller
Temporal kernel CCA and its application in multimodal neuronal data analysis. Mach. Learn. 79 (1-2) (2010)
N. Jeremy Hill, Jason Farquhar, Suzanna Martens, Felix Bießmann, Bernhard Schölkopf
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance. NIPS (2008)

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Publication Activity (10 Years)

Top Topics

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Felix Bießmann