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On improving the pooling in HDR-VDP-2 towards better HDR perceptual quality assessment., , , and . Human Vision and Electronic Imaging, volume 9014 of SPIE Proceedings, page 90140N. SPIE, (2014)Nonintrusive Quality Assessment of Noise Suppressed Speech With Mel-Filtered Energies and Support Vector Regression., , , , and . IEEE Trans. Speech Audio Process., 20 (4): 1217-1232 (2012)Upsampling of Personalized HRTF for Spatial Audio Rendering: Why Deep Learning is Problematic?, and . COMAD/CODS, page 274-275. ACM, (2023)Perceptual image quality assessment: recent progress and trends., and . VCIP, volume 7744 of SPIE Proceedings, page 774403. SPIE, (2010)Explainable Machine Learning: The Importance of a System-Centric Perspective.. CoRR, (2023)Robustness and prediction accuracy of Machine Learning for objective visual quality assessment., , , , and . EUSIPCO, page 2130-2134. IEEE, (2014)Video quality assessment using temporal quality variations and machine learning., and . ICME, page 1-6. IEEE Computer Society, (2011)Influence of HDR reference on observers preference in tone-mapped images evaluation., , , and . QoMEX, page 1-6. IEEE, (2015)Machine learning based modeling of spatial and temporal factors for video quality assessment., and . ICIP, page 2513-2516. IEEE, (2011)An objective method for High Dynamic Range source content selection., , , , and . QoMEX, page 13-18. IEEE, (2014)