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              <text>Facial Expression Recognition with Transfer Learning: A Deep Dive</text>
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              <text>CK+; DenseNet; HCI; Imagenet; Transfer Learning</text>
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              <text>In the realm of affective computing, where the nuanced interpretation of facial expressions plays a pivotal role, this research presents a comprehensive methodology aimed at refining the precision of facial expression recognition on the CK+ (Cohn-Kanade Extended) dataset. Our method uses the robust DenseNet121 architecture that has been pretrained on the 'imagenet' dataset, and it leverages transfer learning on the foundational CK+ dataset. The model deftly handles issues with overfitting, normalization, and feature extraction that are present in facial expression detection on CK+. Our approach not only achieves an overall accuracy of 98%, with a 5.86% accuracy enhancement over the base paper on the CK+ dataset, but also shows remarkable precision, recall, and F1-score values for individual emotion classes. It is noteworthy that emotions such as anger, contempt, and disgust have precision rates that reach 100%. The study highlights the model's noteworthy input to affective computing and presents its possible real-world uses in emotion analysis on CK+ and human-computer interaction.   2024 IEEE.</text>
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              <text>Debroy M.; Thomas K.T.; Mathew L.</text>
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              <text>TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/TQCEBT59414.2024.10545031" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/TQCEBT59414.2024.10545031&lt;/a&gt;
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              <text>ISBN: 979-835038427-7</text>
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              <text>Debroy M., Christ(Deemed to Be University), Dept. of Data Science, Lavasa, Pune, India; Thomas K.T., Christ(Deemed to Be University), Dept. of Data Science, Lavasa, Pune, India; Mathew L., Christ(Deemed to Be University), Dept. of Data Science, Lavasa, Pune, India</text>
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