Testing Concept Drift Detection Technique on Data Stream. - Narinder Singh Punn; Sonali Agarwal (BDA, 2018)

Crowd Analysis for Congestion Control Early Warning System on Foot Over Bridge. - Narinder Singh Punn; Sonali Agarwal (IC3, 2019)

Face Mask Detection Using Transfer Learning of InceptionV3. - G. Jignesh Chowdary; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (BDA, 2020)

Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques. - Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (CoRR, 2020)

Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review. - Sonali Agarwal; Narinder Singh Punn; Sanjay Kumar Sonbhadra; P. Nagabhushan; K. K. Soundra Pandian; Praveer Saxena (CoRR, 2020)

Enhanced Behavioral Cloning Based self-driving Car Using Transfer Learning. - Uppala Sumanth; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (CoRR, 2020)

Fruit classification using deep feature maps in the presence of deceptive similar classes. - Mohit Dandekar; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (CoRR, 2020)

CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images. - Narinder Singh Punn; Sonali Agarwal (CoRR, 2020)

Inception U-Net Architecture for Semantic Segmentation to Identify Nuclei in Microscopy Cell Images. - Narinder Singh Punn; Sonali Agarwal (ACM Trans. Multim. Comput. Commun. Appl., 2020)

COVID-19 Posteroanterior Chest X-Ray fused (CPCXR) dataset. - Narinder Singh Punn; Sonali Agarwal (IEEE DataPort, 2020)

MAG-Net: Multi-task Attention Guided Network for Brain Tumor Segmentation and Classification. - Sachin Gupta; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (BDA, 2021)

Towards Machine Learning to Machine Wisdom: A Potential Quest. - P. Nagabhushan; Sanjay Kumar Sonbhadra; Narinder Singh Punn; Sonali Agarwal (BDA, 2021)

Hate Speech Detection Using Static BERT Embeddings. - Gaurav Rajput; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (BDA, 2021)

Impact of Attention on Adversarial Robustness of Image Classification Models. - Prachi Agrawal; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (IEEE BigData, 2021)

BERT-Based Sentiment Analysis: A Software Engineering Perspective. - Himanshu Batra; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (DEXA (1), 2021)

Recommending Best Course of Treatment Based on Similarities of Prognostic Markers. - Sudhanshu; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (ICONIP (2), 2021)

Fruit classification using deep feature maps in the presence of deceptive similar classes. - Mohit Dandekar; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal; Rage Uday Kiran (IJCNN, 2021)

Addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function. - Nikhil Nasalwai; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (PAKDD (3), 2021)

Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks. - Narinder Singh Punn; Sonali Agarwal (Appl. Intell., 2021)

Web based disease prediction and recommender system. - Harish Rajora; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (CoRR, 2021)

MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification. - Sachin Gupta; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (CoRR, 2021)

White blood cell subtype detection and classification. - Nalla Praveen; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (CoRR, 2021)

Multi-modality encoded fusion with 3D inception U-net and decoder model for brain tumor segmentation. - Narinder Singh Punn; Sonali Agarwal (Multim. Tools Appl., 2021)

Disease diagnosis and recommended remedy. - Sudhanshu; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (IEEE DataPort, 2021)

Software Testing and Quality Assurance for Data Intensive Applications. - Sonali Agarwal; Sanjay Kumar Sonbhadra; Narinder Singh Punn (EASE, 2022)

Anomaly Detection in Surveillance Videos Using Transformer Based Attention Model. - Kapil Deshpande; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (ICONIP (7), 2022)

Impact of the Composition of Feature Extraction and Class Sampling in Medicare Fraud Detection. - Akrity Kumari; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (ICONIP (3), 2022)

Modality specific U-Net variants for biomedical image segmentation: a survey. - Narinder Singh Punn; Sonali Agarwal (Artif. Intell. Rev., 2022)

BT-Unet: A self-supervised learning framework for biomedical image segmentation using barlow twins with U-net models. - Narinder Singh Punn; Sonali Agarwal (Mach. Learn., 2022)

RCA-IUnet: a residual cross-spatial attention-guided inception U-Net model for tumor segmentation in breast ultrasound imaging. - Narinder Singh Punn; Sonali Agarwal (Mach. Vis. Appl., 2022)

CHS-Net: A Deep Learning Approach for Hierarchical Segmentation of COVID-19 via CT Images. - Narinder Singh Punn; Sonali Agarwal (Neural Process. Lett., 2022)

Unleashing Password Potential: VAEs vs GANs in a Password Guessing Duel. - Siddhant Salve; Narinder Singh Punn; Deepak Kumar Dewangan; Sonali Agarwal (CVMI, 2024)

KS-TMIL: A K-Stage Transformer approach with multiple instance learning model for ovarian cancer subtype classification. - Marreddi Jayanth Sai; Narinder Singh Punn (Comput. Biol. Medicine, 2025)

Cerebral palsy detection from infant using movements of their salient body parts and a feature fusion model. - Subodh Rajpopat; Sunil Kumar; Narinder Singh Punn (J. Supercomput., 2025)

CTAUNet: Improved retinal blood vessel segmentation with collaborative transformer attention U-Net. - Narinder Singh Punn; Sunil Kumar (Neural Comput. Appl., 2025)