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No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000., , , , и . Human Vision and Electronic Imaging, том 7527 из SPIE Proceedings, стр. 75271. SPIE, (2010)Crowdsourcing for Rating Image Aesthetic Appeal: Better a Paid or a Volunteer Crowd?, и . CrowdMM, стр. 25-30. ACM, (2014)Image quality and visual attention interactions: Towards a more reliable analysis in the saliency space., и . QoMEX, стр. 201-206. IEEE, (2011)A Credit Scoring Model for SMEs Based on Social Media Data., , , и . ICWE, том 12128 из Lecture Notes in Computer Science, стр. 113-129. Springer, (2020)Hypermetric k-Means Clustering for Content-Based Document Management., , , и . CISIS, том 53 из Advances in Soft Computing, стр. 61-68. Springer, (2008)The aesthetic appeal of depth of field in photographs., , , и . QoMEX, стр. 81-86. IEEE, (2014)Journey through the crowd: Best practices and recommendations for crowdsourced QoE, и . 2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX), стр. 1--2. IEEE, (2015)Crowdsourcing Quality of Experience Experiments, , , , , , , и . Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments, Springer, (сентября 2017)When the crowd challenges the lab: Lessons learnt from subjective studies on image aesthetic appeal, , , , и . Proceedings of the Fourth International Workshop on Crowdsourcing for Multimedia, стр. 33--38. (2015)iCaCoT - Interactive Camera-based Coaching and Training., , и . WSICC@TVX, том 1516 из CEUR Workshop Proceedings, CEUR-WS.org, (2015)