In a landmark move aimed at promoting transparency and research the Election Commission of India ECI has released the world largest electoral dataset unvei ...

Transportation and road networks mark one of most widely used map datasets with strategic importance across many industries ...

Modeling network communication environments with Graph Neural Networks (GNNs) has gained notoriety in recent years due to the capability of GNNs to generalize well for data defined over graphs. Hence, ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6221020 ...

As AI revolutionizes journalism practices worldwide, newsrooms in Nigeria increasingly are integrating new such tools to ...

Notifications You must be signed in to change notification settings V3: In progress. Please wait. The next version of the larger dataset is expected to be released in ...

This poses a challenge when working with small datasets as these models need large datasets to perform well on unseen data. In this paper, we design a few-shot Siamese Neural Networks combined with ...

The recently developed Strategic Export Violation (SEV) dataset provides sufficient observations of illicit transfers of dual-use goods. Using the SEV data, a Count Exponential Random Graph Model ...

"The U.S. Climate Reference Network record from 2005 shows no obvious warming during this period," reads part of the post's ...

Sahara AI Ltd., the creator of a nascent decentralized artificial intelligence data network, today announced the launch of ...

You wouldn’t typically associate graphing calculators with artificial intelligence, but hacker [KermMartian] recently made it ...