Comparison of the Effects of Interaction with Intentional Agent and Artificial Intelligence using fNIRS

no code implementations • 27 Feb 2024 • Mohammad Ghalavand, Javad Hatami, Seyed Kamaledin Setarehdan, Fatimah Nosrati, Hananeh Ghalavand, Ali Nikhalat-Jahromi

As societal interactions increasingly involve both intentional and unintentional agents, understanding their effects on human cognition becomes paramount.

Decision Making

Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks

no code implementations • 23 Feb 2021 • Elham Yousef Kalaf, Ata Jodeiri, Seyed Kamaledin Setarehdan, Ng Wei Lin, Kartini Binti Rahman, Nur Aishah Taib, Sarinder Kaur Dhillon

The proposed model in this study outperformed other modified VGG16 architectures with the accuracy of 93% and also the results are competitive with other state of the art frameworks for classification of breast cancer lesions.

Classification General Classification +1

Accurate Stress Assessment based on functional Near Infrared Spectroscopy using Deep Learning Approach

no code implementations • 14 Feb 2020 • Mahya Mirbagheri, Ata Jodeiri, Naser Hakimi, Vahid Zakeri, Seyed Kamaledin Setarehdan

Employment of the proposed deep learning system trained on the fNIRS measurements leads to higher stress classification accuracy than the existing methods proposed in fNIRS studies in which the same experimental procedure has been employed.

General Classification