Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Filter-Pruned 3D Convolutional Neural Network for Drowsiness Detection
Detecting Driver Drowsiness Based on Sensors: A Review
Drowsy Driving Detection Based on the Driver's Head Movement using Infrared Sensors
A user-centered drowsy-driver detection and warning system
Single Sensor Techniques for Sleep Apnea Diagnosis Using Deep Learning
Coordinating Filters for Faster Deep Neural Networks
A Practical Convolutional Neural Network as Loop Filter for Intra Frame
Accelerating convolutional neural networks by group-wise 2D-filter pruning
Energy Efficient Convolutional Neural Networks for EEG Artifact Detection
3D Convolutional Neural Networks for landing zone detection from LiDAR
Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin
A Real-Time Wireless Brain–Computer Interface System for Drowsiness Detection
Sleep Quality Prediction From Wearable Data Using Deep Learning
Facial Expression Recognition Using Enhanced Deep 3D Convolutional Neural Networks
Driver Fatigue Detection Based on Eye State Recognition
Relevant Acoustic Group Features for Automatic Sleepiness Recognition
Driver Drowsiness Detection Using Visual Information On Android Device
Stacked Filters Stationary Flow For Hardware-Oriented Acceleration Of Deep Convolutional Neural Networks
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks
Yawning detection for monitoring driver fatigue based on two cameras
Detecting Driver Drowsiness: A survey of system designs and technology.
Efficient and accurate approximations of nonlinear convolutional networks
New Generation Sensor Web Enablement
Variational Bayesian extreme learning machine
On the legacy of W. S. McCulloch
Intercultural misunderstandings: causes and solutions