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Found 7 papers, 1 papers with code
Implicit Saliency in Deep Neural Networks
In this paper, we show that existing recognition and localization deep architectures, that have not been exposed to eye tracking data or any saliency datasets, are capable of predicting the human visual saliency.
Skill requirements in job advertisements: A comparison of skill-categorization methods based on explanatory power in wage regressions
In this paper, we compare different methods to extract skill requirements from job advertisements.
How to Define the Propagation Environment Semantics and Its Application in Scatterer-Based Beam Prediction
Inspired by task-oriented semantic communication and machine learning (ML) powered environment-channel mapping methods, this work aims to provide a new view of the environment from the semantic level, which defines the propagation environment semantics (PES) as a limited set of propagation environment semantic symbols (PESS) for diverse application tasks.
Blockchain Network Analysis: A Comparative Study of Decentralized Banks
We apply core-periphery network features analysis using the transaction data from four decentralized banks, Liquity, Aave, MakerDao, and Compound.
Polycraft World AI Lab (PAL): An Extensible Platform for Evaluating Artificial Intelligence Agents
We present the Polycraft World AI Lab (PAL), a task simulator with an API based on the Minecraft mod Polycraft World.
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures
This analysis is based on data collected at the two research institutes.
Towards 6G Digital Twin Channel Using Radio Environment Knowledge Pool
The digital twin channel (DTC) is crucial for 6G wireless autonomous networks as it replicates the wireless channel fading states in 6G air interface transmissions.
