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How (Not) to Measure Bias in Face Recognition Networks.

, , , and . ANNPR, volume 12294 of Lecture Notes in Computer Science, page 125-137. Springer, (2020)

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Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals., , and . ANNPR, volume 9896 of Lecture Notes in Computer Science, page 269-284. Springer, (2016)How (Not) to Measure Bias in Face Recognition Networks., , , and . ANNPR, volume 12294 of Lecture Notes in Computer Science, page 125-137. Springer, (2020)Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity., , , , , , and . EANN, volume 517 of Communications in Computer and Information Science, page 275-285. Springer, (2015)Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability., and . IEEE Access, (2020)Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction., , , , and . ICT4DA, volume 244 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 89-98. Springer, (2017)Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability., and . CoRR, (2022)Deep Learning for Robust and Explainable Models in Computer Vision.. University of Ulm, Germany, (2023)Artifact Reduction in 3D and 4D Cone-beam Computed Tomography Images with Deep Learning - A Review., , , and . CoRR, (2024)Support Vector Regression of Sparse Dictionary-Based Features for View-Independent Action Unit Intensity Estimation., , , and . FG, page 854-859. IEEE Computer Society, (2017)Pain recognition with camera photoplethysmography., , , and . IPTA, page 1-5. IEEE, (2017)