2 citations · 2 across the 3 of their papers we have counts for
3 papers
Evaluating Cumulative Spectral Gradient as a Complexity Measure
Haji Gul, Abdul Ghani Naim, Ajaz Ahmad Bhat
Accurate estimation of dataset complexity is crucial for evaluating and comparing link prediction models for knowledge graphs (KGs). The Cumulative Spectral Gradient (CSG) metric d…
A Contextualized BERT model for Knowledge Graph Completion
Haji Gul, Abdul Ghani Naim, Ajaz A. Bhat
Knowledge graphs (KGs) are valuable for representing structured, interconnected information across domains, enabling tasks like semantic search, recommendation systems and inferenc…
Transfer learning for cancer diagnosis in histopathological images
Sandhya Aneja, Nagender Aneja, Pg Emeroylariffion Abas +1
Transfer learning allows us to exploit knowledge gained from one task to assist in solving another but relevant task. In modern computer vision research, the question is which arch…