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MIST: Multimodal emotion recognition using DeBERTa for text, Semi-CNN for speech, ResNet-50 for facial, and 3D-CNN for motion analysis
Research article (Expert Systems with Applications, 2025) · cited 31× · AI/ML
MIST: Multimodal emotion recognition using DeBERTa for text, Semi-CNN for speech, ResNet-50 for facial, and 3D-CNN for motion analysis
Summary
MIST: Multimodal emotion recognition using DeBERTa for text, Semi-CNN for speech, ResNet-50 for facial, and 3D-CNN for motion analysis is a scholarly article[1].
Key Facts
MIST: Multimodal emotion recognition using DeBERTa for text, Semi-CNN for speech, ResNet-50 for facial, and 3D-CNN for motion analysis's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). MIST: Multimodal emotion recognition using DeBERTa for text, Semi-CNN for speech, ResNet-50 for facial, and 3D-CNN for motion analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/mist-multimodal-emotion-recognition-using-deberta-for-text-semi-cnn-for-speech-resnet-50-for-facial-and-3d-cnn-for-motio
MLA“MIST: Multimodal emotion recognition using DeBERTa for text, Semi-CNN for speech, ResNet-50 for facial, and 3D-CNN for motion analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mist-multimodal-emotion-recognition-using-deberta-for-text-semi-cnn-for-speech-resnet-50-for-facial-and-3d-cnn-for-motio.
BibTeX@misc{4ortxyz_mist-multimodal-emotion-recognition-using-deberta-for-text-semi-cnn-for-speech-resnet-50-for-facial-and-3d-cnn-for-motio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MIST: Multimodal emotion recognition using DeBERTa for text, Semi-CNN for speech, ResNet-50 for facial, and 3D-CNN for motion analysis}}, year = {2026}, url = {https://4ort.xyz/entity/mist-multimodal-emotion-recognition-using-deberta-for-text-semi-cnn-for-speech-resnet-50-for-facial-and-3d-cnn-for-motio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MIST: Multimodal emotion recognition using DeBERTa for text, Semi-CNN for speech, ResNet-50 for facial, and 3D-CNN for motion analysis — https://4ort.xyz/entity/mist-multimodal-emotion-recognition-using-deberta-for-text-semi-cnn-for-speech-resnet-50-for-facial-and-3d-cnn-for-motio (retrieved 2026-05-24)
