Stack autoencoder (SAE), as a representative deep network, has unique an...
The class imbalance problem is important and challenging. Ensemble appro...
Parkinson disease (PD)'s speech recognition is an effective way for its
...
Imbalanced learning is important and challenging since the problem of th...
The risk of Parkinson's disease (PD) is extremely serious, and PD speech...
High-resolution magnetic resonance images can provide fine-grained anato...
In this survey, we systematically summarize the current literature on st...
Learning from demonstrations has made great progress over the past few y...
Machine-learning-based age estimation has received lots of attention.
Tr...
Recent advances in supervised learning and reinforcement learning have
p...
Diagnosis and therapeutic effect assessment of Parkinson disease based o...
Deep learning is a kind of feature learning method with strong nonliear
...
Labeled speech data from patients with Parkinsons disease (PD) are scarc...
Lane-change maneuvers are commonly executed by drivers to follow a certa...
In recent years, video analysis tools for automatically extracting meani...
Forecasting pedestrian trajectories in dynamic scenes remains a critical...
Pedestrian trajectory prediction in dynamic scenes remains a challenging...
Reinforcement Learning algorithms have recently been proposed to learn
t...
Generative Adversarial Imitation Learning (GAIL) is an efficient way to ...
As autonomous vehicles (AVs) need to interact with other road users, it ...
Lane change is a challenging task which requires delicate actions to ens...
We apply Deep Q-network (DQN) with the consideration of safety during th...
A reliable controller is critical and essential for the execution of saf...
Lane change is a crucial vehicle maneuver which needs coordination with
...
Ramp merging is a critical maneuver for road safety and traffic efficien...
Operating a robot safely and efficiently can be considerably challenging...
Multiple automakers have in development or in production automated drivi...