Chiranjibi Sitaula

According to our database, Chiranjibi Sitaula authored at least 10 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Vector representation based on a supervised codebook for Nepali documents classification.

Chiranjibi Sitaula, Anish Basnet, Sunil Aryal

PeerJ Comput. Sci., 2021

Attention-based VGG-16 model for COVID-19 chest X-ray image classification.

Chiranjibi Sitaula, Mohammad Belayet Hossain

Appl. Intell., 2021

2020

Fusion of whole and part features for the classification of histopathological image of breast tissue.

Chiranjibi Sitaula, Sunil Aryal

Health Inf. Sci. Syst., 2020

New Bag of Deep Visual Words based features to classify chest x-ray images for COVID-19 diagnosis.

Chiranjibi Sitaula, Sunil Aryal

CoRR, 2020

Content and Context Features for Scene Image Representation.

Chiranjibi Sitaula, Sunil Aryal, Yong Xiang, Anish Basnet, Xuequan Lu

CoRR, 2020

Scene Image Representation by Foreground, Background and Hybrid Features.

Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu

CoRR, 2020

HDF: Hybrid Deep Features for Scene Image Representation.

Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Indoor Image Representation by High-Level Semantic Features.

Chiranjibi Sitaula, Yong Xiang, Yushu Zhang, Xuequan Lu, Sunil Aryal

IEEE Access, 2019

Unsupervised Deep Features for Privacy Image Classification.

Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu

Proceedings of the Image and Video Technology - 9th Pacific-Rim Symposium, 2019

Tag-Based Semantic Features for Scene Image Classification.

Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu

Proceedings of the Neural Information Processing - 26th International Conference, 2019