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pub:research [2022/04/29 12:41] – kkutt | pub:research [2022/05/25 10:14] – AfCAI2022 paper published kkutt | ||
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===== Papers ===== | ===== Papers ===== | ||
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+ | === AfCAI2022 === | ||
+ | * K. Kutt, P. Sobczyk, and G. J. Nalepa, " | ||
+ | * {{ : | ||
+ | * ++Abstract | Facial expressions convey the vast majority of the emotional information contained in social utterances. From the point of view of affective intelligent systems, it is therefore important to develop appropriate emotion recognition models based on facial images. As a result of the high interest of the research and industrial community in this problem, many ready-to-use tools are being developed, which can be used via suitable web APIs. In this paper, two of the most popular APIs were tested: Microsoft Face API and Kairos Emotion Analysis API. The evaluation was performed on images representing 8 emotions—anger, | ||
=== MRC2021b === | === MRC2021b === |