Cargando…
Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training
Documents are stored in a digital form across several organizations. Printing this amount of data and placing it into folders instead of storing digitally is against the practical, economical, and ecological perspective. An efficient way of retrieving data from digitally stored documents is also req...
Autores principales: | Nasir, Inzamam Mashood, Khan, Muhammad Attique, Yasmin, Mussarat, Shah, Jamal Hussain, Gabryel, Marcin, Scherer, Rafał, Damaševičius, Robertas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730850/ https://www.ncbi.nlm.nih.gov/pubmed/33261136 http://dx.doi.org/10.3390/s20236793 |
Ejemplares similares
-
Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
por: Khan, Muhammad Attique, et al.
Publicado: (2020) -
Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization
por: Khan, Muhammad Attique, et al.
Publicado: (2021) -
MSRNet: Multiclass Skin Lesion Recognition Using Additional Residual Block Based Fine-Tuned Deep Models Information Fusion and Best Feature Selection
por: Bibi, Sobia, et al.
Publicado: (2023) -
From ECG signals to images: a transformation based approach for deep learning
por: Naz, Mahwish, et al.
Publicado: (2021) -
Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion
por: Jabeen, Kiran, et al.
Publicado: (2022)