Tag-Based Semantic Features for Scene Image Classification. - Chiranjibi Sitaula; Yong Xiang 001; Anish Basnet; Sunil Aryal; Xuequan Lu (ICONIP (3), 2019)

Unsupervised Deep Features for Privacy Image Classification. - Chiranjibi Sitaula; Yong Xiang 001; Sunil Aryal; Xuequan Lu (PSIVT, 2019)

Indoor Image Representation by High-Level Semantic Features. - Chiranjibi Sitaula; Yong Xiang 001; Yushu Zhang 001; Xuequan Lu; Sunil Aryal (IEEE Access, 2019)

HDF: Hybrid Deep Features for Scene Image Representation. - Chiranjibi Sitaula; Yong Xiang 001; Anish Basnet; Sunil Aryal; Xuequan Lu (IJCNN, 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)

Attention-based VGG-16 model for COVID-19 chest X-ray image classification. - Chiranjibi Sitaula; Mohammad Belayet Hossain (Appl. Intell., 2021)

Deep Learning-Based Methods for Sentiment Analysis on Nepali COVID-19-Related Tweets. - Chiranjibi Sitaula; Anish Basnet; A. Mainali; Tej Bahadur Shahi (Comput. Intell. Neurosci., 2021)

Scene image representation by foreground, background and hybrid features. - Chiranjibi Sitaula; Yong Xiang 001; Sunil Aryal; Xuequan Lu (Expert Syst. Appl., 2021)

New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis. - Chiranjibi Sitaula; Sunil Aryal (Health Inf. Sci. Syst., 2021)

Content and context features for scene image representation. - Chiranjibi Sitaula; Sunil Aryal; Yong Xiang 001; Anish Basnet; Xuequan Lu (Knowl. Based Syst., 2021)

Vector representation based on a supervised codebook for Nepali documents classification. - Chiranjibi Sitaula; Anish Basnet; Sunil Aryal (PeerJ Comput. Sci., 2021)

Nepaliliinguistic. - Anish Basnet; Chiranjibi Sitaula; Sunil Aryal (IEEE DataPort, 2021)

A Fusion of Handcrafted Feature-Based and Deep Learning Classifiers for Heart Murmur Detection. - Zaria Imran; Ethan Grooby; Vinayaka Vivekananda Malgi; Chiranjibi Sitaula; Sunil Aryal; Faezeh Marzbanrad (CinC, 2022)

Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds. - Ethan Grooby; Chiranjibi Sitaula; Kenneth Tan; Lindsay Zhou; Arrabella King; Ashwin Ramanathan; Atul Malhotra; Guy Albert Dumont; Faezeh Marzbanrad (EMBC, 2022)

Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications. - Ethan Grooby; Chiranjibi Sitaula; Davood Fattahi; Reza Sameni; Kenneth Tan; Lindsay Zhou; Arrabella King; Ashwin Ramanathan; Atul Malhotra; Guy Albert Dumont; Faezeh Marzbanrad (IEEE Access, 2022)

Automated Detection of Major Depressive Disorder With EEG Signals: A Time Series Classification Using Deep Learning. - Alireza Rafiei; Rasoul Zahedifar; Chiranjibi Sitaula; Faezeh Marzbanrad (IEEE Access, 2022)

Natural language processing for Nepali text: a review. - Tej Bahadur Shahi; Chiranjibi Sitaula (Artif. Intell. Rev., 2022)

Recent Advances in Scene Image Representation and Classification. - Chiranjibi Sitaula; Tej Bahadur Shahi; Faezeh Marzbanrad (CoRR, 2022)

Monkeypox Virus Detection Using Pre-trained Deep Learning-based Approaches. - Chiranjibi Sitaula; Tej Bahadur Shahi (J. Medical Syst., 2022)

Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model. - Chiranjibi Sitaula; Jinyuan He; Archana Priyadarshi; Mark B. Tracy; Omid Kavehei; Murray Hinder; Anusha Withana; Alistair Lee McEwan; Faezeh Marzbanrad (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Neonatal Face and Facial Landmark Detection from Video Recordings. - Ethan Grooby; Chiranjibi Sitaula; Soodeh Ahani; Liisa Holsti; Atul Malhotra; Guy Albert Dumont; Faezeh Marzbanrad (EMBC, 2023)

A Novel Multi-scale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification. - Chiranjibi Sitaula; Jagannath Aryal; Avik Bhattacharya (CoRR, 2023)

A Novel Multiscale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification. - Chiranjibi Sitaula; Jagannath Aryal; Avik Bhattacharya (IEEE Geosci. Remote. Sens. Lett., 2023)

Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation. - Emma Perkins; Chiranjibi Sitaula; Michael Burke; Faezeh Marzbanrad (IEEE Trans. Intell. Veh., 2023)

Ensemble Approach on Deep and Handcrafted Features for Neonatal Bowel Sound Detection. - Lachlan Burne; Chiranjibi Sitaula; Archana Priyadarshi; Mark B. Tracy; Omid Kavehei; Murray Hinder; Anusha Withana; Alistair Lee McEwan; Faezeh Marzbanrad (IEEE J. Biomed. Health Informatics, 2023)

Noisy Neonatal Chest Sound Separation for High-Quality Heart and Lung Sounds. - Ethan Grooby; Chiranjibi Sitaula; Davood Fattahi; Reza Sameni; Kenneth Tan; Lindsay Zhou; Arrabella King; Ashwin Ramanathan; Atul Malhotra; Guy Albert Dumont; Faezeh Marzbanrad (IEEE J. Biomed. Health Informatics, 2023)

Recent advances in scene image representation and classification. - Chiranjibi Sitaula; Tej Bahadur Shahi; Faezeh Marzbanrad; Jagannath Aryal (Multim. Tools Appl., 2024)

Multi-channel CNN to classify Nepali COVID-19 related tweets using hybrid features. - Chiranjibi Sitaula; Tej Bahadur Shahi (J. Ambient Intell. Humaniz. Comput., 2024)

Enhanced multi-level features for very high resolution remote sensing scene classification. - Chiranjibi Sitaula; Sumesh KC; Jagannath Aryal (Neural Comput. Appl., 2024)

A rotation-invariant horizontal vertical pooled module for remote sensing image representation. - Chiranjibi Sitaula; Jagannath Aryal (Neural Comput. Appl., 2024)

Deep Learning-Based Method for Irrigation Status Detection in Tomato Using Plant Leaves. - Tej Bahadur Shahi; Chiranjibi Sitaula; Krishna Prasad Bhandari; Shobha Poudel; Rupesh Bhandari; Ravindra Mishra; Bharat Kumar Sharma; Bhogendra Mishra (IEEE Trans. Artif. Intell., 2025)