More research attention has recently been given to end-to-end autonomous...
The aim of this paper is to reveal the importance of hybrid successive
i...
This paper considers a cognitive radio inspired uplink communication
sce...
In recent years, REST API fuzzing has emerged to explore errors on a clo...
There are many artificial intelligence algorithms for autonomous driving...
The goal of automated feature generation is to liberate machine learning...
A large number of novel two-dimensional (2D) materials are constantly
di...
Consensus protocols are widely used in building reliable distributed sof...
Imbalanced learning (IL), i.e., learning unbiased models from
class-imba...
This paper considers the problem of estimation of the Fisher information...
In many places all over the world rural and remote areas lack proper
con...
Real-world dynamical systems often consist of multiple stochastic subsys...
In database systems, index is the key component to support efficient sea...
Traffic forecasting is of great importance to transportation management ...
Many real-world applications reveal difficulties in learning classifiers...
Many real-world applications reveal difficulties in learning classifiers...
We propose a Leaked Motion Video Predictor (LMVP) to predict future fram...
Most existing event extraction (EE) methods merely extract event argumen...
Time series are widely used as signals in many classification/regression...
This research addressed whether interactions with social robots could
fa...
This paper proposes a generative model, the latent Dirichlet hidden Mark...