Lapuschkin, S.
Co Author Listing * Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
* Explainable AI for time series via Virtual Inspection Layers
* Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
* Explaining Nonlinear Classification Decisions with Deep Taylor Decomposition
* Explanation-Guided Training for Cross-Domain Few-Shot Classification
* Measurably Stronger Explanation Reliability Via Model Canonization
* Optimizing Explanations by Network Canonization and Hyperparameter Search
* Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning
* Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations
* Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
* Understanding and Comparing Deep Neural Networks for Age and Gender Classification
* Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
Includes: Lapuschkin, S. Lapuschkin, S.[Sebastian]
12 for Lapuschkin, S.
Lapusta, N.
Co Author Listing * Geostationary Optical Seismometer, Proof of Concept, A
Lapuyade Lahorgue, J.[Jerome]
Co Author Listing * Deep learning based automatic detection of uninformative images in pulmonary optical endomicroscopy
* Segmenting Multi-Source Images Using Hidden Markov Fields With Copula-Based Multivariate Statistical Distributions
* Tumor segmentation by fusion of MRI images using copula based statistical methods
Includes: Lapuyade Lahorgue, J.[Jerome] Lapuyade-Lahorgue, J.[Jérôme] Lapuyade-Lahorgue, J.
Lapuyade, J.[Jerome]
Co Author Listing * Three Dimensional Monocular Human Motion Analysis in End-Effector Space