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Jens Lippel

Observed names: J. Lippel, Lippel, Jens
ORCID: 0000-0002-6232-7821
Observed ORCID: 0000-0002-6232-7821
OpenAlex ID: A5033045571
Feature Extraction With Deep Neural Networks by a Generalized Discriminant Analysis
2012 · A. Stuhlsatz, J. Lippel, et al. · IEEE Transactions on Neural Networks and Learning Systems · 150
State estimation for anaerobic digesters using the ADM1
2012 · D. Gaida, C. Wolf, et al. · Water Science & Technology · 45
Robust dimensionality reduction for data visualization with deep neural networks
2020 · Martin Becker, Jens Lippel, et al. · Graphical Models · 35
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Discriminative feature extraction with Deep Neural Networks
2010 · André Stuhlsatz, Jens Lippel, et al. · International Joint Conference on Neural Networks (IJCNN) · 21
Feature Extraction for Simple Classification
2010 · Andre Stuhlsatz, Jens Lippel, et al. · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 8
Regularized Nonlinear Discriminant Analysis - An Approach to Robust Dimensionality Reduction for Data Visualization
2017 · Martin Becker, Jens Lippel, et al. · International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) · 7
Dimensionality Reduction for Data Visualization and Linear Classification, and the Trade-off between Robustness and Classification Accuracy
2021 · Martin Becker, Jens Lippel, et al. · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 2
Gradient Descent Analysis: On Visualizing the Training of Deep Neural Networks
2019 · Martin Becker, Jens Lippel, et al. · International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) · 1
Modeling Dynamic Processes with Deep Neural Networks: A Case Study with a Gas-fired Absorption Heat Pump
2019 · Jens Lippel, Martin Becker, et al. · International Conference on Simulation and Modeling Methodologies, Technologies and Applications · 1
What Can Be Learned by Grading Analytics?
2018 · Thomas Zielke, Irina Bernst, et al. · INTED proceedings · 1
A Computer Vision Approach to Fertilizer Detection and Classification
2025 · Jens Lippel, Richard Bihlmeier, et al. · International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)
Works count: 14
Citation count: 271
H-index: 6
I10-index: 4
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