Binder, Alexander

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

Bach, S., Binder, A., Montavon, G., Klauschen, F., Müller, K.-R., & Samek, W. (2015) · PLOS ONE

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 4,524

Explaining nonlinear classification decisions with deep taylor decomposition

Montavon, G., Lapuschkin, S., Binder, A., Samek, W., & Müller, K.-R. (2017) · Pattern Recognition

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 1,357

Evaluating the Visualization of What a Deep Neural Network Has Learned

Samek, W., Binder, A., Montavon, G., Lapuschkin, S., & Muller, K.-R. (2017) · IEEE Transactions on Neural Networks and Learning Systems

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 1,164

Deep Semi-Supervised Anomaly Detection

Ruff, L., Vandermeulen, R. A., Görnitz, N., Binder, A., Müller, E., Müller, K.-R., & Kloft, M. (2019) · arXiv

Anomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine Learning

Cited by 388

Morphological and molecular breast cancer profiling through explainable machine learning

Binder, A., Bockmayr, M., Hägele, M., Wienert, S., Heim, D., Hellweg, K., Ishii, M., Stenzinger, A., Hocke, A., Denkert, C., et al. (2021) · Nature Machine Intelligence

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 156

Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations

Binder, A., Weber, L., Lapuschkin, S., Montavon, G., Müller, K.-R., & Samek, W. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 21