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Outputs (120)

EmoNet: Unveiling Affective States Through Convolutional Neural Networks in Textual Emotion Classification (2024)
Presentation / Conference Contribution

In the burgeoning field of natural language processing, emotion classification from textual data has emerged as a critical task with applications ranging from sentiment analysis to mental health assessment. This paper explores the utilization of Conv... Read More about EmoNet: Unveiling Affective States Through Convolutional Neural Networks in Textual Emotion Classification.

Confidence limits for coherence – toward a better understanding of its use as a diffuse field metric for quantifying the quality of Direct Field Acoustic Noise (DFAN) Testing systems (2024)
Presentation / Conference Contribution

To determine the degree of diffuseness of a particular acoustic field, an oft-considered metric is the coherence between spaced pairs of measurement microphones. This is useful because the expected theoretical ‘sinc2’ trend for a diffuse field is wel... Read More about Confidence limits for coherence – toward a better understanding of its use as a diffuse field metric for quantifying the quality of Direct Field Acoustic Noise (DFAN) Testing systems.

Optimising Visual User Interfaces to Reduce Cognitive Fatigue and Enhance Mental Well-being (2024)
Presentation / Conference Contribution

User interface design is a key priority in modern computer systems, especially when the users are non-technical. Due to the importance of designing more user-friendly interfaces, the focus has been increased on designing human-centred systems over fu... Read More about Optimising Visual User Interfaces to Reduce Cognitive Fatigue and Enhance Mental Well-being.