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Found 5 papers, 1 papers with code
LOSS-GAT: Label Propagation and One-Class Semi-Supervised Graph Attention Network for Fake News Detection
However, a significant challenge in identifying fake news is the limited availability of labeled news datasets.
Securing Pathways with Orthogonal Robots
The protection of pathways holds immense significance across various domains, including urban planning, transportation, surveillance, and security.
Minimizing Turns in Watchman Robot Navigation: Strategies and Solutions
The Orthogonal Watchman Route Problem (OWRP) entails the search for the shortest path, known as the watchman route, that a robot must follow within a polygonal environment.
Adversarial Training for Probabilistic Spiking Neural Networks
Due to the prominence of Artificial Neural Networks (ANNs) as classifiers, their sensitivity to adversarial examples, as well as robust training schemes, have been recently the subject of intense investigation.
Training Probabilistic Spiking Neural Networks with First-to-spike Decoding
Third-generation neural networks, or Spiking Neural Networks (SNNs), aim at harnessing the energy efficiency of spike-domain processing by building on computing elements that operate on, and exchange, spikes.
