Computer Science
Machine Learning
100%
Learning System
100%
Early Detection
40%
Natural Language Processing
34%
Predictive Model
34%
Random Decision Forest
32%
Extreme Gradient Boosting
27%
Support Vector Machine
26%
Machine Learning Technique
24%
Classification Models
23%
Feature Selection
23%
Class Distribution
23%
Related Factor
21%
Ensemble Method
19%
Machine Learning Algorithm
19%
Decision Trees
18%
Sensor Placement
17%
Explainable Artificial Intelligence
17%
Prediction Model
17%
Data Augmentation
17%
Machine Learning Approach
17%
Binary Classification
17%
Accelerometer Data
17%
Long Short-Term Memory Neural Network
17%
Daily Activity
17%
Superior Performance
17%
Case Study
17%
Deep Neural Network
14%
Classification Performance
13%
Data Record
11%
Multiclass Classification
11%
Bidirectional Encoder Representations From Transformers
11%
Neural Network Architecture
11%
Clinical Data
11%
Evaluation Metric
11%
Feature Extraction
9%
Validation Technique
8%
Time Series Data
8%
Statistical Feature
8%
Classifier Model
8%
evolutionary optimization
8%
Informal Form
8%
Optimization Algorithm
8%
Particle Swarm Optimization
8%
Temporal Feature
8%
Elderly Individual
8%
Spectral Feature
8%
Candidate List
8%
Information Extraction
8%
Time Complexity
8%
Engineering
Metrics
43%
Learning System
34%
Deep Neural Network
34%
Random Forest
26%
Support Vector Machine
26%
Early Detection
23%
Learning Approach
17%
Machine Learning Algorithm
17%
Hybrid Model
17%
Transfer Learning
17%
Class Distribution
17%
Implantable Cardioverter
17%
Vital Sign
17%
Gaussians
17%
Moving Average
17%
Root Mean Square Error
17%
Receiver Operating Characteristic
14%
Multistage
13%
Rate Data
8%
Machine Learning Technique
8%
Network Model
5%
Great Importance
5%