مقالات در نشریات
- ۴۱. Masoud Ghodrati, Amirhossein Farzmahdi, Karim Rajaei, Reza Ebrahimpour, Seyed , Mahdi Khaligh , Razavi،Feedforward object-vision models only tolerate small image variations compared to human،Frontiers Media SA،۲۰۱۴/۷/۱۸.
- ۴۲. Seyed , Mahdi Khaligh , Razavi،What you need to know about the state-of-the-art computational models of object-vision: A tour through the models،arXiv preprint arXiv:۱۴۰۷.۲۷۷۶،۲۰۱۴/۷/۱۰.
- ۴۳. Seyed , Mahdi Khaligh , Razavi, Nikolaus Kriegeskorte،Deep supervised, but not unsupervised, models may explain IT cortical representation،Public Library of Science،۲۰۱۴/۱۱/۶.
- ۴۴. Linda Henriksson, Seyed , Mahdi Khaligh , Razavi, Nikolaus Kriegeskorte،Population-code representations of natural images across human visual areas،Journal of Vision،۲۰۱۳/۷/۲.
- ۴۵. Amin Mirzaei, Seyed , Mahdi Khaligh , Razavi, Masoud Ghodrati, Sajjad Zabbah, Reza Ebrahimpour،Predicting the Human Reaction Time Based On Natural Image Statistics in a Rapid Categorization Task،Vision Research،۲۰۱۳/۲/۱۶.
- ۴۶. Karim Rajaei, Seyed , Mahdi Khaligh , Razavi, Masoud Ghodrati, Reza Ebrahimpour, Mohammad Ebrahim Shiri Ahmad Abadi،A stable biologically motivated learning mechanism for visual feature extraction to handle facial categorization،Public Library of Science،۲۰۱۲/۶/۱۳.
- ۴۷. Masoud Ghodrati, Seyed , Mahdi Khaligh , Razavi, Reza Ebrahimpour, Karim Rajaei, Mohammad Pooyan،How can selection of biologically inspired features improve the performance of a robust object recognition model?،Public Library of Science،۲۰۱۲/۲/۲۷.
- ۴۸. Chris Kalafatis, Mohammad Hadi Modarres, Haniye Marefat, Mahdiyeh Khanbagi, Hamed Karimi, Zahra Vahabi, Seyed و Mahdi Khaligh Razavi،P۴‐۲۰۷: EMPLOYING ARTIFICIAL INTELLIGENCE IN THE DEVELOPMENT OF A SELF‐ADMINISTERED, COMPUTERISED COGNITIVE ASSESSMENT FOR THE ASSESSMENT OF NEURODEGENERATION،Alzheimer's & Dementia،۰۱ July ۲۰۱۹.
نمایش ۴۱ تا ۴۸ مورد از کل ۴۸ مورد.