Multi-head attention-driven multimodal feature integration network for autism spectrum disorder detection
Experimental evaluation on the proposed multi-head Attention-driven Multimodal Feature Integration Network framework demonstrates that the proposed MAtMFIN framework consistently outperforms state-of-the-art transfer learning and Deep Learning models, including a hybrid Convolutional Neural Network (CNN)-Long Short-Term Memory (LSTM) model.