Stefan Haufe
Orcid: 0000-0003-1470-9195Affiliations:
- Columbia University, New York City, USA
According to our database1,
Stefan Haufe
authored at least 58 papers
between 2008 and 2024.
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Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on zbmath.org
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on twitter.com
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on orcid.org
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on dl.acm.org
On csauthors.net:
Bibliography
2024
XAI-TRIS: non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance.
Mach. Learn., September, 2024
IEEE Trans. Medical Imaging, February, 2024
A scalable approach for critical care data extraction and analysis in an academic medical center.
Int. J. Medical Informatics, 2024
Benchmarking the influence of pre-training on explanation performance in MR image classification.
Frontiers Artif. Intell., 2024
CoRR, 2024
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations.
CoRR, 2024
EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods.
CoRR, 2024
2023
Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution.
IEEE Trans. Medical Imaging, September, 2023
Identifying good practices for detecting inter-regional linear functional connectivity from EEG.
NeuroImage, August, 2023
Bayesian Algorithms for Joint Estimation of Brain Activity and Noise in Electromagnetic Imaging.
IEEE Trans. Medical Imaging, March, 2023
Alterations in rhythmic and non-rhythmic resting-state EEG activity and their link to cognition in older age.
NeuroImage, March, 2023
Benchmark data to study the influence of pre-training on explanation performance in MR image classification.
CoRR, 2023
Bayesian Inference for Brain Source Imaging with Joint Estimation of Structured Low-Rank Noise.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
A benchmark for prediction of psychiatric multimorbidity from resting EEG data in a large pediatric sample.
NeuroImage, 2022
Empirical Bayesian localization of event-related time-frequency neural activity dynamics.
NeuroImage, 2022
Mach. Learn., 2022
2021
Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework.
NeuroImage, 2021
Robust estimation of noise for electromagnetic brain imaging with the champagne algorithm.
NeuroImage, 2021
J. Medical Syst., 2021
CoRR, 2021
Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Functional connectivity of EEG is subject-specific, associated with phenotype, and different from fMRI.
NeuroImage, 2020
2019
Enhancing sensorimotor BCI performance with assistive afferent activity: An online evaluation.
NeuroImage, 2019
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
NeuroImage, 2018
Correlated Components Analysis - Extracting Reliable Dimensions in Multivariate Data.
CoRR, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
2017
2016
IEEE Trans. Signal Process., 2016
The New York Head - A precise standardized volume conductor model for EEG source localization and tES targeting.
NeuroImage, 2016
2015
Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data.
Proc. IEEE, 2015
Identifying Granger causal relationships between neural power dynamics and variables of interest.
NeuroImage, 2015
Solving the EEG inverse problem based on space-time-frequency structured sparsity constraints.
NeuroImage, 2015
An extendable simulation framework for benchmarking EEG-based brain connectivity estimation methodologies.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
On the interpretation of weight vectors of linear models in multivariate neuroimaging.
NeuroImage, 2014
NeuroImage, 2014
SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters.
NeuroImage, 2014
NeuroImage, 2014
Parameter interpretation, regularization and source localization in multivariate linear models.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Optimizing spatial filters for the extraction of envelope-coupled neural oscillations.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Brain-computer interface for smart vehicle: Detection of braking intention during simulated driving.
Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014
2013
NeuroImage, 2013
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013
2012
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
2011
NeuroImage, 2011
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
2010
IEEE Trans. Biomed. Eng., 2010
Open Database of Epileptic EEG with MRI and Postoperational Assessment of Foci - a Real World Verification for the EEG Inverse Solutions.
Neuroinformatics, 2010
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010
2009
Now You'll Feel It, Now You Won't: EEG Rhythms Predict the Effectiveness of Perceptual Masking.
J. Cogn. Neurosci., 2009
2008
NeuroImage, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008