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Open access Aug 2026

Graph-Based Adaptive Multimodal Transformer with Temporal Emotion Memory for Robust Conversational Emotion Recognition

Conversational emotion recognition has become an essential research area for developing intelligent human–computer interaction systems capable of understanding contextual emotional dynamics from multimodal information. Existing transformer-based approaches mainly focus on local contextual dependencies while often overl...

S. V · 0 citations
Open access Aug 2026

Adaptive Reliability-Guided Multimodal Learning Framework for Robust Emotion and Sentiment Classification Under Noisy and Missing Modalities

The Adaptive Reliability-Guided Multimodal Artificial Intelligence system outperforms existing state-of-the-art multimodal learning algorithms under noisy and missing modality situations and provides consistent convergence and enhanced generalisation for real-world affective computing applications.

S. V · 0 citations

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