Kopernica uses multimodal inputs, such as real-time audio and video, in combination with behavioral intelligence to allow AI ...

To analyze our multimodal dataset, we designed an emotion recognition classifier using deep learning-based transformer and fully convolutional network architectures. Our evaluation shows that the ...

making multimodal approaches crucial. In this study, we propose a cross-modal representation learning approach for emotion recognition using peripheral physiological signals (PPS) and ...

PYTHON (jupter) This project focuses on speech emotion recognition using machine learning . Initially, the dataset is preprocessed by extracting audio features such as MFCCs while applying data ...

In this analysis, we aim to train a large language model (LLM) for the detection ... on this dataset for emotion classification. We applied the fine-tuned model to a dataset containing 553 ...

LICENSE ├── Makefile <- Makefile with commands like `make data` or `make train` ├── README.md <- The top-level README for developers using this project ... __init__.py <- Makes src a Python module │ │ ...

Machine learning algorithms and large language models (LLMs), such as the model underpinning the functioning of the platform ...

Ann Aerts, head of the Novartis Foundation, tells us about AI4Leprosy, a diagnostic assistant researchers developed that helps healthcare workers detect leprosy with over 90% accuracy using ...