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Browsing by Author "Kaya, H."

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    Conference Object
    Predicting Depression and Emotions in the Cross-Roads of Cultures, Para-Linguistics, and Non-Linguistics
    (Association for Computing Machinery, Inc, 2019) Kaya, H.; Fedotov, D.; Dresvyanskiy, D.; Doyran, M.; Mamontov, D.; Markitantov, M.; Salah, A.A.
    Cross-language, cross-cultural emotion recognition and accurate prediction of affective disorders are two of the major challenges in affective computing today. In this work, we compare several systems for Detecting Depression with AI Sub-challenge (DDS) and Cross-cultural Emotion Sub-challenge (CES) that are published as part of the Audio-Visual Emotion Challenge (AVEC) 2019. For both sub-challenges, we benefit from the baselines, while introducing our own features and regression models. For the DDS challenge, where ASR transcripts are provided by the organizers, we propose simple linguistic and word-duration features. These ASR transcriptbased features are shown to outperform the state of the art audio visual features for this task, reaching a test set Concordance Correlation Coefficient (CCC) performance of 0.344 in comparison to a challenge baseline of 0.120. Our results show that non-verbal parts of the signal are important for detection of depression, and combining this with linguistic information produces the best results. For CES, the proposed systems using unsupervised feature adaptation outperform the challenge baselines on emotional primitives, reaching test set CCC performances of 0.466 and 0.499 for arousal and valence, respectively. © 2019 Association for Computing Machinery.
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    Article
    Seasonal effects of the fatty acid composition of phospholipid and triacylglycerol in the muscle and liver of male Salmo trutta macrostigma
    (GRASAS Y ACEITES, 2021) Kaçar, Semra; Kaya, H.; Başhan, M.
    The seasonal effects on the fatty acid composition of triacylglycerol (TAG) and phospholipid (PL) in the muscle and liver of male Salmo trutta macrostigma were determined using the gas chromatographic (GC) method. The fatty acid (FA) compositions of total lipid, PL and TAG fractions were determined in muscle and liver tissues of S. trutta macrostigma. The phospholipids contained a higher proportion of 16:0 compared to the TAG in the muscle tissue of S. trutta macrostigma. Docosahexaenoic acid (22:6 ω-3) and eicosapentaenoic acid (20:5 ω-3) contents were high in both muscle and liver tissues. The total lipid contents in the muscle and liver were 1.07-2.45 and 3.00-4.64%, respectively. S. trutta macrostigma is a rich source of ω-3 and ω-6, polyunsaturated fatty acids (PUFA) with numerous benefits to human health. © 2021 CSIC Consejo Superior de Investigaciones Cientificas. All rights reserved.