Keyphrases
Early Diagnosis
100%
Gastrointestinal Tract
100%
Art Studies
100%
Deep Learning Methods
100%
Deep Learning Model
100%
Stacking Ensemble Model
100%
Hybrid Stacking
100%
Stacking Ensemble
100%
Stacking Model
50%
High Accuracy Measurement
50%
Classification Results
50%
Statistical Testing
50%
New Learning
50%
Statistical Test
50%
Sensitive Measurement
50%
Gastrointestinal System
50%
Machine Learning Classifiers
50%
CNN Features
50%
5-fold Cross Validation
50%
CNN Model
50%
Endoscopic Surgery
50%
Bi-level
50%
Interobserver Variability
50%
Endoscopic Diagnosis
50%
Ensemble Model
50%
INIS
hybrids
100%
learning
100%
classification
100%
detection
100%
gastrointestinal tract
100%
performance
60%
levels
60%
comparative evaluations
40%
prediction
40%
datasets
40%
machine learning
20%
modeling
20%
validation
20%
accuracy
20%
testing
20%
Computer Science
Convolutional Neural Network
100%
Deep Learning Model
100%
Classification And Deep Learning
100%
Machine Learning
50%
Fold Cross Validation
50%
Ensemble Approach
50%
classification result
50%
Observer Variability
50%
Ensemble Modeling
50%
Experimental Result
50%
Deep Learning
50%
Earth and Planetary Sciences
Stacking
100%
State of the Art
40%
Machine Learning
20%
Psychology
Learning Model
100%
Cross-Validation
50%
Biochemistry, Genetics and Molecular Biology
Gastrointestinal Tract
100%
Statistical Test
50%