Sascha Saralajew

发表

A method for driving a plurality of light emitting modules of a matrix headlamp for a motor vehicle

Gennady Bendermann, Sascha Saralajew, 2016 .

Fusion of deep learning architectures, multilayer feedforward networks and learning vector quantizers for deep classification learning

Thomas Villmann, Michael Biehl, Andrea Villmann, 2017, 2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM).

Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms

Thomas Villmann, Sascha Saralajew, Lars Holdijk, 2020, NeurIPS.

Variants of DropConnect in Learning vector quantization networks for evaluation of classification stability

Thomas Villmann, Marika Kaden, Sascha Saralajew, 2020, Neurocomputing.

Reliable Patient Classification in Case of Uncertain Class Labels Using a Cross-Entropy Approach

Thomas Villmann, Andrea Villmann, Wieland Hermann, 2018, ESANN.

Dropout in Learning Vector Quantization Networks for Regularized Learning and Classification Confidence Estimation

Thomas Villmann, Michael Biehl, Sascha Saralajew, 2018 .

Self-Adjusting Reject Options in Prototype Based Classification

Thomas Villmann, Barbara Hammer, Marika Kaden, 2016, WSOM.

Provident Vehicle Detection at Night: The PVDN Dataset pdf

Sascha Saralajew, Lars Ohnemus, Lukas Ewecker, 2020, ArXiv.

Adaptive Hausdorff Distances and Tangent Distance Adaptation for Transformation Invariant Classification Learning

Thomas Villmann, David Nebel, Sascha Saralajew, 2016, ICONIP.

Prototype-based Neural Network Layers: Incorporating Vector Quantization pdf

Thomas Villmann, Sascha Saralajew, Lars Holdijk, 2018, ArXiv.

Adaptive tangent distances in generalized learning vector quantization for transformation and distortion invariant classification learning

Thomas Villmann, Sascha Saralajew, T. Villmann, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Provident Detection of Vehicles at Night

Sascha Saralajew, Lars Ohnemus, Emilio Oldenziel, 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).

Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets pdf

Sascha Saralajew, J. Marius Zoellner, Simon T. Isele, 2020, ArXiv.

Transfer learning in classification based on manifolc. models and its relation to tangent metric learning

Thomas Villmann, Sascha Saralajew, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

A process for trajektorienbasierten characteristic assignment in a captured by an image capturing unit of a vehicle image

Christian Schneider, Sebastian Söhner, Sascha Saralajew, 2017 .

Method for position verification of characteristic points in light distributions

Sebastian Söhner, Sascha Saralajew, Steffen Strebel, 2016 .

Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks pdf

Thomas Villmann, Sascha Saralajew, Lars Holdijk, 2019, WSOM+.

Probabilistic Learning Vector Quantization with Cross-Entropy for Probabilistic Class Assignments in Classification Learning

Thomas Villmann, Andrea Villmann, Marika Kaden, 2018, ICAISC.

New Prototype Concepts in Classification Learning

Sascha Saralajew, S. Saralajew, 2020 .

Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components

Thomas Villmann, Sascha Saralajew, Ebubekir Asan, 2019, NeurIPS.

Vehicle occupant observation using terahertz radiation

Sascha Saralajew, Christian Schneider, 2017 .

Provident Vehicle Detection at Night for Advanced Driver Assistance Systems pdf

Sascha Saralajew, Lars Ohnemus, Lukas Ewecker, 2021, ArXiv.

The Coming of Age of Interpretable and Explainable Machine Learning Models

Paulo J. G. Lisboa, Thomas Villmann, Alfredo Vellido, 2021, ESANN.

A Dataset for Provident Vehicle Detection at Night

Sascha Saralajew, Lars Ohnemus, Lukas Ewecker, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Domain Adversarial Tangent Learning Towards Interpretable Domain Adaptation

Frank-Michael Schleif, Christoph Raab, Sascha Saralajew, 2021, ESANN.

The Resolved Mutual Information Function as a Structural Fingerprint of Biomolecular Sequences for Interpretable Machine Learning Classifiers

Thomas Villmann, Marika Kaden, Sascha Saralajew, 2021, Entropy.