Stefan Haufe

1. Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables
   2023/06/02 by Rick Wilming, Wilming, Rick, Leo Kieslich +5 · 3 citations
   Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
2. Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression\n Models in Neuroimaging
   2021/11/02 by Ali Hashemi, Hashemi, Ali, Yijing Gao +11 · 1 citation
   Computer Science · Engineering · Neuroscience · #Applications (stat.AP) #Artificial Intelligence (cs.AI) #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural dynamics and brain function #Signal Processing (eess.SP) #Sparse and Compressive Sensing Techniques #electronic engineering #information engineering
3. Scrutinizing XAI using linear ground-truth data with suppressor variables
   2021/11/14 by Rick Wilming, Céline Budding, Wilming, Rick +5 · 1 citation
   Computer Science · #68T01 #68T07 #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #I.2 #I.5 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
4. Benchmarking the Influence of Pre-training on Explanation Performance in MR Image Classification
   2023/06/21 by Marta Oliveira, Rick Wilming, Oliveira, Marta +11 · 1 citation
   Computer Science · Engineering · Medicine · #Advanced X-ray and CT Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging
5. XAI-TRIS: Non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance
   2023/06/22 by Benedict Clark, Rick Wilming, Clark, Benedict +3 · 1 citation
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches
   2026/07/21 by Rick Wilming, Irem Ozseker, Luca Matteo Cornils +4
   Computer Science · #cs.CV #cs.LG