Stefan Haufe - RankMe

71 papers A* 3Journal 56Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions. CoRR Saleh Afroogh, Seyd Ishtiaque Ahmed, Petra Ahrweiler, David Alvarez-Melis, Mansur Maturidi Arief, Emilia Barakova, Falco J. Bargagli-Stoffi, Erdem Biyik, Hanjie Chen, Xiang 'Anthony' Chen, Robert Clements, Keeley Crockett, Amit Dhurandhar, Fethiye Irmak Dogan, Mollie Dollinger, Motahhare Eslami, Aldo A. Faisal, Arya Farahi, Melanie Fernandez Pradie, Saadia Gabrie, Diego Garcia-Olano, Marzyeh Ghassemi, Shaona Ghosh, Hatice Gunes, Ehsan Hajiramezanali, Stefan Haufe, Biwei Huang, Angel Hwang, Md Tauhidul Islam, Junfeng Jiao, Amir-Hossein Karimi, Saber Kazeminasab, Anastasia Kuzminykh, William G. La Cava, Brian Y. Lim, Xiaofeng Liu, Mohammad R. K. Mofrad, Alicia Parrish, María Pérez-Ortiz, Shriti Raj, Swabha Swayamdipta, Salmon Talebi, Kush R. Varshney, Mihaela Vorvoreanu, Lily Weng, Alice Xiang, Yiming Xu, Ding Zhao, Jieyu Zhao
2026	J	`jnl`	Enhancing Brain Source Reconstruction by Initializing 3-D Neural Networks With Physical Inverse Solutions. IEEE Trans. Medical Imaging Marco Morik, Ali Hashemi, Klaus-Robert Müller, Stefan Haufe, Shinichi Nakajima
2026	J	`jnl`	Feature salience - not task-informativeness - drives machine learning model explanations. CoRR Benedict Clark, Marta Oliveira, Rick Wilming, Stefan Haufe
2026	J	`jnl`	Generative clinical time series models trained on moderate amounts of patient data are privacy preserving. CoRR Rustam Zhumagambetov, Niklas Giesa, Sebastian D. Boie, Stefan Haufe
2026	J	`jnl`	The effect of whitening on explanation performance. CoRR Benedict Clark, Stoyan Karastoyanov, Rick Wilming, Stefan Haufe
2026	J	`jnl`	cc-Shapley: Measuring Multivariate Feature Importance Needs Causal Context. CoRR Jörg Martin, Stefan Haufe
2025	J	`jnl`	Explainable AI Methods for Neuroimaging: Systematic Failures of Common Tools, the Need for Domain-Specific Validation, and a Proposal for Safe Application. CoRR Nys Tjade Siegel, James H. Cole, Mohamad Habes, Stefan Haufe, Kerstin Ritter, Marc-André Schulz
2025	J	`jnl`	GECOBench: a gender-controlled text dataset and benchmark for quantifying biases in explanations. Frontiers Artif. Intell. Rick Wilming, Artur Dox, Hjalmar Schulz, Marta Oliveira, Benedict Clark, Stefan Haufe
2025	J	`jnl`	Minimizing False-Positive Attributions in Explanations of Non-Linear Models. CoRR Anders Gjølbye Madsen, Stefan Haufe, Lars Kai Hansen
2025	J	`jnl`	PyBispectra: A toolbox for advanced electrophysiological signal processing using the bispectrum. J. Open Source Softw. Thomas Samuel Binns, Franziska Pellegrini, Tin Jurhar, Tien D. Nguyen, Richard M. Köhler, Stefan Haufe
2024	J	`jnl`	A scalable approach for critical care data extraction and analysis in an academic medical center. Int. J. Medical Informatics Sebastian Daniel Boie, Falk Meyer-Eschenbach, Fabian Schreiber, Niklas Giesa, Jon Barrenetxea, Camille Guinemer, Stefan Haufe, Michael Krämer, Peter Brunecker, Fabian Prasser, Felix Balzer
2024	J	`jnl`	Benchmarking the influence of pre-training on explanation performance in MR image classification. Frontiers Artif. Intell. Marta Oliveira, Rick Wilming, Benedict Clark, Céline Budding, Fabian Eitel, Kerstin Ritter, Stefan Haufe
2024	J	`jnl`	EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods. CoRR Benedict Clark, Rick Wilming, Artur Dox, Paul Eschenbach, Sami Hached, Daniel Jin Wodke, Michias Taye Zewdie, Uladzislau Bruila, Marta Oliveira, Hjalmar Schulz, Luca Matteo Cornils, Danny Panknin, Ahcène Boubekki, Stefan Haufe
2024	J	`jnl`	Enhancing Brain Source Reconstruction through Physics-Informed 3D Neural Networks. CoRR Marco Morik, Ali Hashemi, Klaus-Robert Müller, Stefan Haufe, Shinichi Nakajima
2024	J	`jnl`	Explainable AI needs formal notions of explanation correctness. CoRR Stefan Haufe, Rick Wilming, Benedict Clark, Rustam Zhumagambetov, Danny Panknin, Ahcène Boubekki
2024	J	`jnl`	GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations. CoRR Rick Wilming, Artur Dox, Hjalmar Schulz, Marta Oliveira, Benedict Clark, Stefan Haufe
2024	J	`jnl`	Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models. IEEE Trans. Medical Imaging Ali Hashemi, Chang Cai, Yijing Gao, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
2024	J	`jnl`	XAI-TRIS: non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance. Mach. Learn. Benedict Clark, Rick Wilming, Stefan Haufe
2023	J	`jnl`	Alterations in rhythmic and non-rhythmic resting-state EEG activity and their link to cognition in older age. NeuroImage Elena Cesnaite, Paul Steinfath, Mina Jamshidi Idaji, Tilman Stephani, Deniz Kumral, Stefan Haufe, Christian Sander, Tilman Hensch, Ulrich Hegerl, Steffi Riedel-Heller, Susanne Röhr, Matthias L. Schroeter, Anja Veronica Witte, Arno Villringer, Vadim V. Nikulin
2023	J	`jnl`	Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution. IEEE Trans. Medical Imaging Chang Cai, Yuanshun Long, Sanjay Ghosh, Ali Hashemi, Yijing Gao, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan
2023	J	`jnl`	Bayesian Algorithms for Joint Estimation of Brain Activity and Noise in Electromagnetic Imaging. IEEE Trans. Medical Imaging Chang Cai, Huicong Kang, Ali Hashemi, Dan Chen, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan
2023	—	`conf`	Bayesian Inference for Brain Source Imaging with Joint Estimation of Structured Low-Rank Noise. ISBI Sanjay Ghosh, Chang Cai, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Ashish Raj, Srikantan S. Nagarajan
2023	J	`jnl`	Benchmark data to study the influence of pre-training on explanation performance in MR image classification. CoRR Marta Oliveira, Rick Wilming, Benedict Clark, Céline Budding, Fabian Eitel, Kerstin Ritter, Stefan Haufe
2023	J	`jnl`	Identifying good practices for detecting inter-regional linear functional connectivity from EEG. NeuroImage Franziska Pellegrini, Arnaud Delorme, Vadim V. Nikulin, Stefan Haufe
2023	A*	`conf`	Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables. ICML Rick Wilming, Leo Kieslich, Benedict Clark, Stefan Haufe
2023	J	`jnl`	Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables. CoRR Rick Wilming, Leo Kieslich, Benedict Clark, Stefan Haufe
2023	J	`jnl`	XAI-TRIS: Non-linear benchmarks to quantify ML explanation performance. CoRR Benedict Clark, Rick Wilming, Stefan Haufe
2022	J	`jnl`	A benchmark for prediction of psychiatric multimorbidity from resting EEG data in a large pediatric sample. NeuroImage Nicolas Langer, Martyna Beata Plomecka, Marius Tröndle, Anuja Negi, Tzvetan Popov, Michael P. Milham, Stefan Haufe
2022	J	`jnl`	Empirical Bayesian localization of event-related time-frequency neural activity dynamics. NeuroImage Chang Cai, Leighton B. N. Hinkley, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Srikantan S. Nagarajan
2022	J	`jnl`	Scrutinizing XAI using linear ground-truth data with suppressor variables. Mach. Learn. Rick Wilming, Céline Budding, Klaus-Robert Müller, Stefan Haufe
2021	J	`jnl`	Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging. CoRR Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
2021	A*	`conf`	Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging. NeurIPS Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
2021	J	`jnl`	Evaluating saliency methods on artificial data with different background types. CoRR Céline Budding, Fabian Eitel, Kerstin Ritter, Stefan Haufe
2021	J	`jnl`	Machine Learning for Health: Algorithm Auditing & Quality Control. J. Medical Syst. Luis Oala, Andrew G. Murchison, Pradeep Balachandran, Shruti Choudhary, Jana Fehr, Alixandro Werneck Leite, Peter G. Goldschmidt, Christian Johner, Elora D. M. Schörverth, Rose Nakasi, Martin Meyer, Federico Cabitza, Pat D. Baird, Carolin Prabhu, Eva Weicken, Xiaoxuan Liu, Markus Wenzel, Steffen Vogler, Darlington Ahiale Akogo, Shada Alsalamah, Emre Kazim, Adriano S. Koshiyama, Sven Piechottka, Sheena Macpherson, Ian Shadforth, Regina Geierhofer, Christian Matek, Joachim Krois, Bruno Sanguinetti, Matthew Arentz, Pavol Bielik, Saúl Calderón Ramírez, Auss Abbood, Nicolas Langer, Stefan Haufe, Ferath Kherif, Sameer Pujari, Wojciech Samek, Thomas Wiegand
2021	J	`jnl`	Robust estimation of noise for electromagnetic brain imaging with the champagne algorithm. NeuroImage Chang Cai, Ali Hashemi, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Srikantan S. Nagarajan
2021	J	`jnl`	Scrutinizing XAI using linear ground-truth data with suppressor variables. CoRR Rick Wilming, Céline Budding, Klaus-Robert Müller, Stefan Haufe
2021	J	`jnl`	Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework. NeuroImage Ali Hashemi, Chang Cai, Gitta Kutyniok, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
2020	J	`jnl`	Functional connectivity of EEG is subject-specific, associated with phenotype, and different from fMRI. NeuroImage Maximilian Nentwich, Lei Ai, Jens Madsen, Qawi K. Telesford, Stefan Haufe, Michael P. Milham, Lucas C. Parra
2019	A*	`conf`	A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI. NeurIPS Tao Tu, John W. Paisley, Stefan Haufe, Paul Sajda
2019	J	`jnl`	Enhancing sensorimotor BCI performance with assistive afferent activity: An online evaluation. NeuroImage Carmen Vidaurre, Ander Ramos-Murguialday, Stefan Haufe, Marisol Gómez, Klaus-Robert Müller, Vadim V. Nikulin
2018	J	`jnl`	Correlated Components Analysis - Extracting Reliable Dimensions in Multivariate Data. CoRR Lucas C. Parra, Stefan Haufe, Jacek P. Dmochowski
2018	J	`jnl`	Elucidating relations between fMRI, ECoG, and EEG through a common natural stimulus. NeuroImage Stefan Haufe, Paul DeGuzman, Simon Henin, Michael Arcaro, Christopher J. Honey, Uri Hasson, Lucas C. Parra
2018	—	`conf`	Improving EEG Source Localization Through Spatio-Temporal Sparse Bayesian Learning. EUSIPCO Ali Hashemi, Stefan Haufe
2017	J	`jnl`	Consistency of EEG source localization and connectivity estimates. NeuroImage Keyvan Mahjoory, Vadim V. Nikulin, Loïc Botrel, Klaus Linkenkaer-Hansen, Marco Fato, Stefan Haufe
2016	J	`jnl`	The New York Head - A precise standardized volume conductor model for EEG source localization and tES targeting. NeuroImage Yu Huang, Lucas C. Parra, Stefan Haufe
2016	J	`jnl`	Validity of Time Reversal for Testing Granger Causality. IEEE Trans. Signal Process. Irene Winkler, Danny Panknin, Daniel Bartz, Klaus-Robert Müller, Stefan Haufe
2015	—	`conf`	An extendable simulation framework for benchmarking EEG-based brain connectivity estimation methodologies. EMBC Stefan Haufe
2015	J	`jnl`	Identifying Granger causal relationships between neural power dynamics and variables of interest. NeuroImage Irene Winkler, Stefan Haufe, Anne K. Porbadnigk, Klaus-Robert Müller, Sven Dähne
2015	J	`jnl`	Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data. Proc. IEEE Sven Dähne, Felix Bießmann, Wojciech Samek, Stefan Haufe, Dominique Goltz, Christopher Gundlach, Arno Villringer, Siamac Fazli, Klaus-Robert Müller
2015	J	`jnl`	Solving the EEG inverse problem based on space-time-frequency structured sparsity constraints. NeuroImage Sebastián Castaño-Candamil, Johannes Höhne, Juan David Martínez-Vargas, Xing-Wei An, Germán Castellanos-Domínguez, Stefan Haufe
2014	—	`conf`	Brain-computer interface for smart vehicle: Detection of braking intention during simulated driving. BCI Jeong-Woo Kim, Il-Hwa Kim, Stefan Haufe, Seong-Whan Lee
2014	J	`jnl`	Dimensionality reduction for the analysis of brain oscillations. NeuroImage Stefan Haufe, Sven Dähne, Vadim V. Nikulin
2014	J	`jnl`	Finding brain oscillations with power dependencies in neuroimaging data. NeuroImage Sven Dähne, Vadim V. Nikulin, David Ramírez, Peter J. Schreier, Klaus-Robert Müller, Stefan Haufe
2014	J	`jnl`	On the interpretation of weight vectors of linear models in multivariate neuroimaging. NeuroImage Stefan Haufe, Frank C. Meinecke, Kai Görgen, Sven Dähne, John-Dylan Haynes, Benjamin Blankertz, Felix Bießmann
2014	—	`conf`	Optimizing spatial filters for the extraction of envelope-coupled neural oscillations. PRNI Sven Dähne, Vadim V. Nikulin, David Ramírez, Peter J. Schreier, Klaus-Robert Müller, Stefan Haufe
2014	—	`conf`	Parameter interpretation, regularization and source localization in multivariate linear models. PRNI Stefan Haufe, Frank C. Meinecke, Kai Görgen, Sven Dähne, John-Dylan Haynes, Benjamin Blankertz, Felix Bießmann
2014	J	`jnl`	SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters. NeuroImage Sven Dähne, Frank C. Meinecke, Stefan Haufe, Johannes Höhne, Michael Tangermann, Klaus-Robert Müller, Vadim V. Nikulin
2014	J	`jnl`	The effect of linear mixing in the EEG on Hurst exponent estimation. NeuroImage Duncan A. J. Blythe, Stefan Haufe, Klaus-Robert Müller, Vadim V. Nikulin
2013	J	`jnl`	A critical assessment of connectivity measures for EEG data: A simulation study. NeuroImage Stefan Haufe, Vadim V. Nikulin, Klaus-Robert Müller, Guido Nolte
2013	—	`conf`	Decoding cognitive brain states. BCI Anne K. Porbadnigk, Matthias Sebastian Treder, Siamac Fazli, Michael Tangermann, Carmen Vidaurre, Stefan Haufe, Gabriel Curio, Benjamin Blankertz, Klaus-Robert Müller
2013	—	`conf`	Detection of multi-class emergency situations during simulated driving from ERP. BCI Il-Hwa Kim, Jeong-Woo Kim, Stefan Haufe, Seong-Whan Lee
2012	—	`conf`	Alleviating the Influence of Weak Data Asymmetries on Granger-Causal Analyses. LVA/ICA Stefan Haufe, Vadim V. Nikulin, Guido Nolte
2011	J	`jnl`	Large-scale EEG/MEG source localization with spatial flexibility. NeuroImage Stefan Haufe, Ryota Tomioka, Thorsten Dickhaus, Claudia Sannelli, Benjamin Blankertz, Guido Nolte, Klaus-Robert Müller
2011	—	`conf`	Pitfalls in EEG-Based Brain Effective Connectivity Analysis. MLINI Stefan Haufe, Vadim V. Nikulin, Guido Nolte, Klaus-Robert Müller
2011	J	`jnl`	Single-trial analysis and classification of ERP components - A tutorial. NeuroImage Benjamin Blankertz, Steven Lemm, Matthias Sebastian Treder, Stefan Haufe, Klaus-Robert Müller
2010	J	`jnl`	Modeling Sparse Connectivity Between Underlying Brain Sources for EEG/MEG. IEEE Trans. Biomed. Eng. Stefan Haufe, Ryota Tomioka, Guido Nolte, Klaus-Robert Müller, Motoaki Kawanabe
2010	J	`jnl`	Open Database of Epileptic EEG with MRI and Postoperational Assessment of Foci - a Real World Verification for the EEG Inverse Solutions. Neuroinformatics Piotr Zwolinski, Marcin Roszkowski, Jaroslaw Zygierewicz, Stefan Haufe, Guido Nolte, Piotr J. Durka
2010	—	`conf`	Sparse Causal Discovery in Multivariate Time Series. NIPS Causality: Objectives and Assessment Stefan Haufe, Klaus-Robert Müller, Guido Nolte, Nicole Krämer
2009	J	`jnl`	Now You'll Feel It, Now You Won't: EEG Rhythms Predict the Effectiveness of Perceptual Masking. J. Cogn. Neurosci. Ruth Schubert, Stefan Haufe, Felix Blankenburg, Arno Villringer, Gabriel Curio
2008	J	`jnl`	Combining sparsity and rotational invariance in EEG/MEG source reconstruction. NeuroImage Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Klaus-Robert Müller, Guido Nolte
2008	—	`conf`	Estimating vector fields using sparse basis field expansions. NIPS Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Klaus-Robert Müller, Guido Nolte