AI and Emotional Regulation

Presented at the 26th edition of HCI International, the global conference on human-computer interaction, the paper “An Investigation of the Impact of Emotion in Image Classification Based on Deep Learning” features Riccardo Emanuele Landi, AI Engineer and Researcher at Innoida, a Mare Group company, as the lead author.

The paper gained significant attention for its original approach and rigorous methodology in a very recent field of research. It explores the effects of emotional factors on image classification using deep neural networks, demonstrating that emotional regulation significantly enhances classification accuracy on datasets such as CIFAR-10 and CIFAR-100.