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Sascha Saralajew
Observed names:
S. Saralajew,
Saralajew, Sascha
Institution:
NEC (Germany)
Observed institutions:
Leibniz University Hannover,
Hochschule Mittweida,
NEC (Japan),
Dr Falk Pharma (Germany),
NEC (Germany),
Bundeswehr,
ZURZACH Care AG,
Robert Bosch (Germany)
show all 8
ORCID:
0000-0003-2248-8062
Observed ORCID:
0000-0003-2248-8062
OpenAlex ID:
A5006278156
The coming of age of interpretable and explainable machine learning models
2023
·
P.J.G. Lisboa
, S. Saralajew
, et al.
·
Neurocomputing
·
167
PDF
Aligning generalization between humans and machines
2025
·
Filip Ilievski
, Barbara Hammer
, et al.
·
Nature Machine Intelligence
·
37
The Coming of Age of Interpretable and Explainable Machine Learning Models
2021
·
Paulo Lisboa
, Sascha Saralajew
, et al.
·
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)
·
23
PDF
Provident vehicle detection at night for advanced driver assistance systems
2022
·
Lukas Ewecker
, Ebubekir Asan
, et al.
·
Autonomous Robots
·
21
PDF
Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components
2019
·
Sascha Saralajew
, Lars Holdijk
, et al.
·
neural information processing systems
·
19
Variants of DropConnect in Learning vector quantization networks for evaluation of classification stability
2020
·
Jensun Ravichandran
, Marika Kaden
, et al.
·
Neurocomputing
·
18
Prototype-based Neural Network Layers: Incorporating Vector Quantization
2018
·
Saralajew, Sascha
, Holdijk, Lars
, et al.
·
arXiv (Cornell University)
·
18
PDF
Adaptive tangent distances in generalized learning vector quantization for transformation and distortion invariant classification learning
2016
·
Sascha Saralajew
, Thomas Villmann
·
International Joint Conference on Neural Networks (IJCNN)
·
18
Self-Adjusting Reject Options in Prototype Based Classification
2016
·
T. Villmann
, M. Kaden
, et al.
·
Advances in intelligent systems and computing
·
18
Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms
2020
·
Sascha Saralajew
, Lars Holdijk
, et al.
·
neural information processing systems
·
16
Fusion of deep learning architectures, multilayer feedforward networks and learning vector quantizers for deep classification learning
2017
·
T. Villmann
, M. Biehl
, et al.
·
Workshop on Self-Organizing Maps
·
16
Probabilistic Learning Vector Quantization with Cross-Entropy for Probabilistic Class Assignments in Classification Learning
2018
·
Andrea Villmann
, Marika Kaden
, et al.
·
Lecture notes in computer science
·
15
A Dataset for Provident Vehicle Detection at Night
2021
·
Sascha Saralajew
, Lars Ohnemus
, et al.
·
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
·
14
PDF
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
2025
·
Sascha Saralajew
, Ashish Rana
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
11
PDF
Provident Detection of Vehicles at Night
2020
·
Emilio Oldenziel
, Lars Ohnemus
, et al.
·
IEEE Intelligent Vehicles Symposium
·
11
Robust Text Classification: Analyzing Prototype-Based Networks
2024
·
Zhivar Sourati
, Darshan Girish Deshpande
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
·
9
PDF
The Resolved Mutual Information Function as a Structural Fingerprint of Biomolecular Sequences for Interpretable Machine Learning Classifiers
2021
·
Katrin Sophie Bohnsack
, Marika Kaden
, et al.
·
Entropy
·
7
PDF
Transfer learning in classification based on manifolc. models and its relation to tangent metric learning
2017
·
Sascha Saralajew
, Thomas Villmann
·
International Joint Conference on Neural Networks (IJCNN)
·
7
Human-AI Teaming in a Digital Twin Model for Virtual Product Development
2025
·
Atefeh Gooran Orimi
, Sascha Saralajew
, et al.
·
Zeitschrift für wirtschaftlichen Fabrikbetrieb
·
6
A Learning Vector Quantization Architecture for Transfer Learning Based Classification in Case of Multiple Sources by Means of Null-Space Evaluation
2022
·
Thomas Villmann
, Daniel Staps
, et al.
·
Lecture notes in computer science
·
6
Adaptive Hausdorff Distances and Tangent Distance Adaptation for Transformation Invariant Classification Learning
2016
·
Sascha Saralajew
, David Nebel
, et al.
·
Lecture notes in computer science
·
6
A Human-Centric Assessment Framework for AI
2022
·
Saralajew, Sascha
, Shaker, Ammar
, et al.
·
arXiv (Cornell University)
·
5
PDF
Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets
2021
·
Simon Isele
, Marcel Schilling
, et al.
·
International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS)
·
5
Biologically-Informed Shallow Classification Learning Integrating Pathway Knowledge
2024
·
Julius Voigt
, Sascha Saralajew
, et al.
·
International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC)
·
4
Domain Knowledge Integration in Machine Learning Systems - An Introduction
2024
·
Marika Kaden
, Sascha Saralajew
, et al.
·
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)
·
3
PDF
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Works count:
63
Citation count:
491
H-index:
13
I10-index:
15
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