2022 25th Euromicro Conference on Digital System Design (DSD) 2022
DOI: 10.1109/dsd57027.2022.00117
|View full text |Cite
|
Sign up to set email alerts
|

Hyperparameter Optimization for Brain Tumor Classification with Hyperspectral Images

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2
2
1
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(1 citation statement)
references
References 16 publications
0
0
0
Order By: Relevance
“…Such technique prepares the data for training the base classifiers, ensuring a robust learning process with reduced overfitting. Following this procedure depicted in Figure 3, the different models sets for the base classifiers are ready to be trained with a hyperparameter optimization as described in Figure 4 and cite [29].…”
Section: Training Stagementioning
confidence: 99%
“…Such technique prepares the data for training the base classifiers, ensuring a robust learning process with reduced overfitting. Following this procedure depicted in Figure 3, the different models sets for the base classifiers are ready to be trained with a hyperparameter optimization as described in Figure 4 and cite [29].…”
Section: Training Stagementioning
confidence: 99%