Computer Science
Models
100%
Deep Neural Network
39%
Generative Adversarial Networks
31%
Classes
28%
Classifier
27%
Auditory Brainstem
27%
Brainstem Response
27%
Benchmark
26%
Machine Learning
25%
Bayesian Networks
22%
Algorithms
22%
Dimensionality Reduction
19%
Experimental Result
15%
Adversarial Machine Learning
13%
Deep Learning
13%
Neural Network Model
12%
Accuracy
11%
Standards
11%
Embedding
11%
Deep Convolutional Neural Networks
10%
Wavelet Coefficient
10%
Gaussian Mixture Model
10%
Adversarial Example
10%
Domains
10%
Pattern Recognition
9%
Generative Approach
9%
Network Performance
9%
Probability
9%
Action Recognition
9%
Backpropagation
9%
Hybrid Approach
9%
Functions
7%
Unsupervised Learning
7%
Wavelet Transforms
7%
Convolutional Neural Network
7%
Training Data
7%
Classification Task
7%
Transformations
7%
Classification Accuracy
7%
Design
6%
Feature Extraction
6%
Extracted Feature
6%
Real World
5%
Character Recognition
5%
Image Classification
5%
Pattern Classification
5%
Image Synthesis
5%
Clinical Routine
5%
Repeated Trial
5%
Mutual Information
5%
Mathematics
Bayesian Network
18%
Wavelet Analysis
18%
Number
12%
Riemannian Space
9%
Loss Function
9%
Wavelet
7%
Deep Neural Network
7%
Euclidean Space
6%