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Titlebook: Affective Computing for Social Good; Enhancing Well-being Muskan Garg,Rajesh Shardanand Prasad Book 2024 The Editor(s) (if applicable) and

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https://doi.org/10.1007/978-1-4471-4075-7ies of well-being research using smartphones, explores the potential of other computing platforms for well-being research, and highlights examples of affective computing interventions, underscoring their significant role in advancing mental healthcare.
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Mesh Smoothing and Variational Subdivisioned data. However, due to the lack of available data, training sets are often collected from social media platforms and labeled for classification tasks. In many NLP domains, the gathered data is imbalanced and does not contain equal training samples for all classes, posing a significant challenge in
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Val Lowndes,Ovidiu Bagdasar,Stuart Berrylogical inputs with face emotions. It becomes feasible to identify small emotional cues that would go unnoticed when examining each modality separately by evaluating both modalities simultaneously. This integration may result in more precise and reliable emotion identification, which may find use in
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Val Lowndes,Adrian Bird,Stuart Berryl’s emotional predictions, employing techniques like LIME, SHAP, and natural language explanations. These methodologies collectively aim to bolster transparency, fairness, and trust, thereby ensuring ethical integrity in AC systems.
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2520-1298 that highlight real-world examples providing insights into .Affective Computing for Social Good: Enhancing Well-being, Empathy, and Equity. offers an insightful journey into the intricate realm of affective computing. It covers a spectrum of topics ranging from foundational theories and technologie
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Book 2024mputing. It covers a spectrum of topics ranging from foundational theories and technologies to ethical considerations and future possibilities...Beginning with "Deciphering the Emotional Spectrum: Advances in Emotion Science and Analysis," it sets the stage by tracing the evolution of understanding
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