61 citations · 66 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 5 cited
Looking deeper into interpretable deep learning in neuroimaging: a comprehensive survey
Md. Mahfuzur Rahman, Vince D. Calhoun, Sergey M. Plis
Deep learning (DL) models have been popular due to their ability to learn directly from the raw data in an end-to-end paradigm, alleviating the concern of a separate error-prone fe…
cs.AI2021★ 61 cited
Trans4E: Link Prediction on Scholarly Knowledge Graphs
Mojtaba Nayyeri, Gokce Muge Cil, Sahar Vahdati +8
The incompleteness of Knowledge Graphs (KGs) is a crucial issue affecting the quality of AI-based services. In the scholarly domain, KGs describing research publications typically…