Felix Bießmann

发表

Data-driven multisubject neuroimaging analyses for naturalistic stimuli

Klaus-Robert Müller, Christian Wallraven, Felix Bießmann, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

On Challenges in Machine Learning Model Management

Felix Bießmann, Tim Januschowski, Sebastian Schelter, 2018, IEEE Data Eng. Bull..

Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain–Computer Interfaces

Klaus-Robert Müller, Wojciech Samek, Siamac Fazli, 2015, Proceedings of the IEEE.

Data-driven analysis for multimodal neuroimaging

Felix Bießmann, F. Biessmann, 2012 .

Stereoscopic depth increases intersubject correlations of brain networks

Klaus-Robert Müller, Felix Bießmann, Michael Gaebler, 2014, NeuroImage.

Inter-subject correlations during natural viewing: A filter-bank approach*

Siamac Fazli, Felix Bießmann, Arslan Gait, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Calibrating Human-AI Collaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias

Felix Bießmann, Philipp Schmidt, F. Biessmann, 2020, CD-MAKE.

Automating Large-Scale Data Quality Verification

Felix Bießmann, Dustin Lange, Sebastian Schelter, 2018, Proc. VLDB Endow..

Temporal kernel CCA and its application in multimodal neuronal data analysis

Klaus-Robert Müller, Arthur Gretton, Felix Bießmann, 2010, Machine Learning.

"Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data

Felix Bießmann, Dustin Lange, Sebastian Schelter, 2018, CIKM.

Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data

Stefan Haufe, Klaus-Robert Müller, Wojciech Samek, 2015, Proceedings of the IEEE.

Doubly stochastic large scale kernel learning with the empirical kernel map pdf

Felix Bießmann, Nikolaas Steenbergen, Sebastian Schelter, 2016, ArXiv.

Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information

Klaus-Robert Müller, Felix Bießmann, Yusuke Murayama, 2011, MLINI.

Parameter interpretation, regularization and source localization in multivariate linear models

Stefan Haufe, Benjamin Blankertz, Felix Bießmann, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

Canonical Trends: Detecting Trend Setters in Web Data

Andreas Harth, Felix Bießmann, Mikio L. Braun, 2012, ICML.

Quantifying Interpretability and Trust in Machine Learning Systems pdf

Felix Bießmann, Philipp Schmidt, F. Biessmann, 2019, ArXiv.

Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance

Jason Farquhar, Bernhard Schölkopf, Felix Bießmann, 2008, NIPS.

On the interpretation of weight vectors of linear models in multivariate neuroimaging

Stefan Haufe, Benjamin Blankertz, Felix Bießmann, 2014, NeuroImage.

Quantifying spatiotemporal dynamics of twitter replies to news feeds

Andreas Harth, Klaus-Robert Müller, Felix Bießmann, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Simultaneous and proportional control of 2D wrist movements with myoelectric signals

Dario Farina, Lucas C. Parra, Klaus-Robert Müller, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Analysing Dependency Dynamics in Web Data

Andreas Harth, Felix Bießmann, A. Harth, 2010, AAAI Spring Symposium: Linked Data Meets Artificial Intelligence.

Unit Testing Data with Deequ

Felix Bießmann, Dustin Lange, Sebastian Schelter, 2019, SIGMOD Conference.

Integration of Multivariate Data Streams With Bandpower Signals

Klaus-Robert Müller, Siamac Fazli, Felix Bießmann, 2013, IEEE Transactions on Multimedia.

Automating Political Bias Prediction pdf

Felix Bießmann, F. Biessmann, 2016, ArXiv.

Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions

Klaus-Robert Müller, Felix Bießmann, Yusuke Murayama, 2012, NeuroImage.

Single-trials ERPs predict correct answers to intelligence test questions

Siamac Fazli, Felix Bießmann, Achim Leydecker, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

A Benchmark for Data Imputation Methods

Felix Bießmann, Sebastian Jäger, Arndt Allhorn, 2021, Frontiers in Big Data.

Functional and laminar dissociations between muscarinic and nicotinic cholinergic neuromodulation in the tree shrew primary visual cortex

Felix Bießmann, Robert Kretz, Gregor Rainer, 2012, The European journal of neuroscience.

On the Interpretability of Linear Multivariate Neuroimaging Analyses : Filters , Patterns and their Relationship

Stefan Haufe, Klaus-Robert Müller, Benjamin Blankertz, 2012 .