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Matthias Hein

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IEEE Transactions on Pattern Analysis and Machine Intelligence|September 19, 2017
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel ClassificationMaksim Lapin, Matthias Hein, Bernt Schiele, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 1, 2014
Learning using privileged information: SVM+ and weighted SVMMaksim Lapin, Matthias Hein, Bernt Schiele
IEEE Transactions on Bio-Medical Engineering|April 15, 2026
Understanding Benefits and Pitfalls of Current Methods for the Segmentation of Undersampled MRI DataJan Nikolas Morshuis, Matthias Hein, Christian F Baumgartner
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 3, 2016
An Efficient Multilinear Optimization Framework for Hypergraph MatchingQuynh Nguyen, Francesco Tudisco, Antoine Gautier, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 10, 2023
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN AcceleratorsDavid Stutz, Nandhini Chandramoorthy, Matthias Hein, et al.
Genome Biology|March 26, 2017
MeDeCom: discovery and quantification of latent components of heterogeneous methylomesPavlo Lutsik, Martin Slawski, Gilles Gasparoni, et al.
Scientific Reports|June 16, 2026
Toxicity assessment in preclinical histopathology via class-aware Mahalanobis distance for known and novel anomaliesOlga Graf, Dhrupal Patel, Peter Groß, et al.
BMC Bioinformatics|November 10, 2012
Isotope pattern deconvolution for peptide mass spectrometry by non-negative least squares/least absolute deviation template matchingMartin Slawski, Rene Hussong, Andreas Tholey, et al.
Bioelectromagnetics|November 1, 2025
Definition and Validation of an Exposure Measurement Method for a Typical Load of a Base StationAnna-Malin Schiffarth, Tam Julian Ta, Christian Bornkessel, et al.
PLOS Digital Health|May 15, 2025
Development and validation of an AI algorithm to generate realistic and meaningful counterfactuals for retinal imaging based on diffusion modelsIndu Ilanchezian, Valentyn Boreiko, Laura Kühlewein, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 19, 2017
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel ClassificationMaksim Lapin, Matthias Hein, Bernt Schiele, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 1, 2014
Learning using privileged information: SVM+ and weighted SVMMaksim Lapin, Matthias Hein, Bernt Schiele
IEEE Transactions on Bio-Medical Engineering|April 15, 2026
Understanding Benefits and Pitfalls of Current Methods for the Segmentation of Undersampled MRI DataJan Nikolas Morshuis, Matthias Hein, Christian F Baumgartner
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 3, 2016
An Efficient Multilinear Optimization Framework for Hypergraph MatchingQuynh Nguyen, Francesco Tudisco, Antoine Gautier, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 10, 2023
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN AcceleratorsDavid Stutz, Nandhini Chandramoorthy, Matthias Hein, et al.
Genome Biology|March 26, 2017
MeDeCom: discovery and quantification of latent components of heterogeneous methylomesPavlo Lutsik, Martin Slawski, Gilles Gasparoni, et al.
Scientific Reports|June 16, 2026
Toxicity assessment in preclinical histopathology via class-aware Mahalanobis distance for known and novel anomaliesOlga Graf, Dhrupal Patel, Peter Groß, et al.
BMC Bioinformatics|November 10, 2012
Isotope pattern deconvolution for peptide mass spectrometry by non-negative least squares/least absolute deviation template matchingMartin Slawski, Rene Hussong, Andreas Tholey, et al.
Bioelectromagnetics|November 1, 2025
Definition and Validation of an Exposure Measurement Method for a Typical Load of a Base StationAnna-Malin Schiffarth, Tam Julian Ta, Christian Bornkessel, et al.
PLOS Digital Health|May 15, 2025
Development and validation of an AI algorithm to generate realistic and meaningful counterfactuals for retinal imaging based on diffusion modelsIndu Ilanchezian, Valentyn Boreiko, Laura Kühlewein, et al.
Pageof 2