id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-5713	Sultanov, Dastan ; Seitbekov, Sanzhar ; Ayanbek, Shynara ; Assubay, Miras ; Sarsengaliyev, Zhaisang ; Kartbayev, Amandyk 	Evaluating the impact of AI-generated synthetic noisy data on human emotion recognition models	2025	15	.pdf	application/pdf	6175	295	36	The findings suggest that the quality of synthetic images plays a crucial role in model effectiveness, as insufficient diversity may introduce noise rather than beneficial augmentation. Subsequent improvements in generative models have made synthetic images nearly indistinguishable from real ones, leading to promising applications in FER dataset augmentation [9].	cache/easat-5713.pdf	txt/easat-5713.txt