Chiranjibi Sitaula

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 43

Top Topics

Image Representation

Image Classification

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Chiranjibi Sitaula, Sumesh KC, Jagannath Aryal
Enhanced multi-level features for very high resolution remote sensing scene classification. Neural Comput. Appl. 36 (13) (2024)
Chiranjibi Sitaula, Tej Bahadur Shahi, Faezeh Marzbanrad, Jagannath Aryal
Recent advances in scene image representation and classification. Multim. Tools Appl. 83 (3) (2024)
Chiranjibi Sitaula, Tej Bahadur Shahi
Multi-channel CNN to classify Nepali COVID-19 related tweets using hybrid features. J. Ambient Intell. Humaniz. Comput. 15 (3) (2024)
Ethan Grooby, Chiranjibi Sitaula, Soodeh Ahani, Liisa Holsti, Atul Malhotra, Guy Albert Dumont, Faezeh Marzbanrad
Neonatal Face and Facial Landmark Detection from Video Recordings. EMBC (2023)
Ethan Grooby, Chiranjibi Sitaula, Soodeh Ahani, Liisa Holsti, Atul Malhotra, Guy Albert Dumont, Faezeh Marzbanrad
Neonatal Face and Facial Landmark Detection from Video Recordings. CoRR (2023)
Emma Perkins, Chiranjibi Sitaula, Michael Burke, Faezeh Marzbanrad
Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation. IEEE Trans. Intell. Veh. 8 (2) (2023)
Lachlan Burne, Chiranjibi Sitaula, Archana Priyadarshi, Mark B. Tracy, Omid Kavehei, Murray Hinder, Anusha Withana, Alistair Lee McEwan, Faezeh Marzbanrad
Ensemble Approach on Deep and Handcrafted Features for Neonatal Bowel Sound Detection. IEEE J. Biomed. Health Informatics 27 (6) (2023)
Chiranjibi Sitaula, Sumesh KC, Jagannath Aryal
Enhanced Multi-level Features for Very High Resolution Remote Sensing Scene Classification. CoRR (2023)
Chiranjibi Sitaula, Jagannath Aryal, Avik Bhattacharya
A Novel Multiscale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Ethan Grooby, Chiranjibi Sitaula, Davood Fattahi, Reza Sameni, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy Albert Dumont, Faezeh Marzbanrad
Noisy Neonatal Chest Sound Separation for High-Quality Heart and Lung Sounds. IEEE J. Biomed. Health Informatics 27 (6) (2023)
Chiranjibi Sitaula, Jagannath Aryal, Avik Bhattacharya
A Novel Multi-scale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification. CoRR (2023)
Zaria Imran, Ethan Grooby, Vinayaka Vivekananda Malgi, Chiranjibi Sitaula, Sunil Aryal, Faezeh Marzbanrad
A Fusion of Handcrafted Feature-Based and Deep Learning Classifiers for Heart Murmur Detection. CinC (2022)
Ethan Grooby, Chiranjibi Sitaula, Davood Fattahi, Reza Sameni, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy Albert Dumont, Faezeh Marzbanrad
Noisy Neonatal Chest Sound Separation for High-Quality Heart and Lung Sounds. CoRR (2022)
Ethan Grooby, Chiranjibi Sitaula, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy Albert Dumont, Faezeh Marzbanrad
Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds. EMBC (2022)
Chiranjibi Sitaula, Tej Bahadur Shahi
Monkeypox Virus Detection Using Pre-trained Deep Learning-based Approaches. J. Medical Syst. 46 (11) (2022)
Alireza Rafiei, Rasoul Zahedifar, Chiranjibi Sitaula, Faezeh Marzbanrad
Automated Detection of Major Depressive Disorder With EEG Signals: A Time Series Classification Using Deep Learning. IEEE Access 10 (2022)
Ethan Grooby, Chiranjibi Sitaula, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy Albert Dumont, Faezeh Marzbanrad
Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds. CoRR (2022)
Chiranjibi Sitaula, Tej Bahadur Shahi, Faezeh Marzbanrad
Recent Advances in Scene Image Representation and Classification. CoRR (2022)
Chiranjibi Sitaula, Tej Bahadur Shahi
Monkeypox virus detection using pre-trained deep learning-based approaches. CoRR (2022)
Chiranjibi Sitaula, Jinyuan He, Archana Priyadarshi, Mark B. Tracy, Omid Kavehei, Murray Hinder, Anusha Withana, Alistair Lee McEwan, Faezeh Marzbanrad
Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Chiranjibi Sitaula, Tej Bahadur Shahi
Multi-channel CNN to classify nepali covid-19 related tweets using hybrid features. CoRR (2022)
Ethan Grooby, Chiranjibi Sitaula, Davood Fattahi, Reza Sameni, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy Albert Dumont, Faezeh Marzbanrad
Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications. IEEE Access 10 (2022)
Tej Bahadur Shahi, Chiranjibi Sitaula
Natural language processing for Nepali text: a review. Artif. Intell. Rev. 55 (4) (2022)
Chiranjibi Sitaula, Anish Basnet, A. Mainali, T. B. Shahi
Deep Learning-Based Methods for Sentiment Analysis on Nepali COVID-19-Related Tweets. Comput. Intell. Neurosci. 2021 (2021)
Ethan Grooby, Chiranjibi Sitaula, Davood Fattahi, Reza Sameni, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy Albert Dumont, Faezeh Marzbanrad
Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications. CoRR (2021)
Chiranjibi Sitaula, Sunil Aryal, Yong Xiang, Anish Basnet, Xuequan Lu
Content and context features for scene image representation. Knowl. Based Syst. 232 (2021)
Chiranjibi Sitaula, Anish Basnet, Sunil Aryal
Vector representation based on a supervised codebook for Nepali documents classification. PeerJ Comput. Sci. 7 (2021)
Chiranjibi Sitaula, Sunil Aryal
New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis. Health Inf. Sci. Syst. 9 (1) (2021)
Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu
Scene image representation by foreground, background and hybrid features. Expert Syst. Appl. 182 (2021)
Chiranjibi Sitaula, Jinyuan He, Archana Priyadarshi, Mark B. Tracy, Omid Kavehei, Murray Hinder, Anusha Withana, Alistair Lee McEwan, Faezeh Marzbanrad
Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model. CoRR (2021)
Chiranjibi Sitaula, Mohammad Belayet Hossain
Attention-based VGG-16 model for COVID-19 chest X-ray image classification. Appl. Intell. 51 (5) (2021)
Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu
Scene Image Representation by Foreground, Background and Hybrid Features. CoRR (2020)
Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu
HDF: Hybrid Deep Features for Scene Image Representation. IJCNN (2020)
Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu
HDF: Hybrid Deep Features for Scene Image Representation. CoRR (2020)
Chiranjibi Sitaula, Sunil Aryal
Fusion of whole and part features for the classification of histopathological image of breast tissue. Health Inf. Sci. Syst. 8 (1) (2020)
Chiranjibi Sitaula, Sunil Aryal, Yong Xiang, Anish Basnet, Xuequan Lu
Content and Context Features for Scene Image Representation. CoRR (2020)
Chiranjibi Sitaula, Sunil Aryal
New Bag of Deep Visual Words based features to classify chest x-ray images for COVID-19 diagnosis. CoRR (2020)
Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu
Tag-based Semantic Features for Scene Image Classification. CoRR (2019)
Chiranjibi Sitaula, Yong Xiang, Yushu Zhang, Xuequan Lu, Sunil Aryal
Indoor image representation by high-level semantic features. CoRR (2019)
Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu
Unsupervised Deep Features for Privacy Image Classification. CoRR (2019)
Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu
Unsupervised Deep Features for Privacy Image Classification. PSIVT (2019)
Chiranjibi Sitaula, Yong Xiang, Yushu Zhang, Xuequan Lu, Sunil Aryal
Indoor Image Representation by High-Level Semantic Features. IEEE Access 7 (2019)
Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu
Tag-Based Semantic Features for Scene Image Classification. ICONIP (3) (2019)