Computer Science
Deep Learning
100%
Deep Neural Network
66%
Trajectory Data
66%
Network Architecture
44%
Classification Models
38%
Series Prediction
33%
Light-Weight Deep Learning Model
33%
visualization method
33%
Data Representation
33%
Use Case
25%
Data Availability
25%
Model Complexity
22%
Decision Model
16%
Decision Trees
16%
Internet of Things
16%
Industrial Application
16%
Surrogate Decision
16%
k-means Clustering
16%
Random Sampling Process
16%
Hardware Resource
16%
Learning Scheme
16%
Training Phase
16%
Temporal Dimension
16%
Technical Report
16%
Deep Learning Model
15%
Computing Power
15%
Tracking Data
15%
Memory Footprint
11%
Classification Accuracy
11%
Event Information
11%
Performance Model
11%
Experimental Result
11%
Model Compression
11%
Model Accuracy
11%
Neural Network Architecture
11%
Decision Boundary
8%
Learning Approach
8%
Training Data
8%
Engineering
Spectrogram
33%
Deep Learning
33%
Misclassification
33%
Metro
22%
Black Box
16%
Decision Boundary
16%
Learning Scheme
11%
Tasks
11%
Limitations
11%
Pedestrian Street
11%
Airfield
11%
Conducted Experiment
11%
