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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)

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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)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)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)Multimodal fusion including camera photoplethysmography for pain recognition., , , and . ICCT, page 1-4. IEEE, (2017)PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis., , , , , , , and . CoRR, (2022)Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness., , , , , , and . TAILOR, volume 12641 of Lecture Notes in Computer Science, page 268-275. Springer, (2020)Deep Learning for Robust and Explainable Models in Computer Vision.. CoRR, (2024)Adaptive confidence learning for the personalization of pain intensity estimation systems., , , , , , and . Evol. Syst., 8 (1): 71-83 (2017)Pain recognition with camera photoplethysmography., , , and . IPTA, page 1-5. IEEE, (2017)Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database., , , , , , , , , and 5 other author(s). IEEE Trans. Affect. Comput., 12 (3): 743-760 (2021)