Narinder Singh Punn

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 40

Top Topics

Classification Models

Drift Detection

Medical Image Segmentation

Transfer Learning

Top Venues

Multim. Tools Appl.

Publications

Kapil Deshpande, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Anomaly Detection in Surveillance Videos Using Transformer Based Attention Model. ICONIP (7) (2022)
Sonali Agarwal, Sanjay Kumar Sonbhadra, Narinder Singh Punn
Software Testing and Quality Assurance for Data Intensive Applications. EASE (2022)
Kapil Deshpande, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Anomaly detection in surveillance videos using transformer based attention model. CoRR (2022)
Narinder Singh Punn, Sonali Agarwal
CHS-Net: A Deep Learning Approach for Hierarchical Segmentation of COVID-19 via CT Images. Neural Process. Lett. 54 (5) (2022)
Narinder Singh Punn, Sonali Agarwal
BT-Unet: A self-supervised learning framework for biomedical image segmentation using barlow twins with U-net models. Mach. Learn. 111 (12) (2022)
Akrity Kumari, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Impact of the composition of feature extraction and class sampling in medicare fraud detection. CoRR (2022)
Narinder Singh Punn, Sonali Agarwal
RCA-IUnet: a residual cross-spatial attention-guided inception U-Net model for tumor segmentation in breast ultrasound imaging. Mach. Vis. Appl. 33 (2) (2022)
Akrity Kumari, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Impact of the Composition of Feature Extraction and Class Sampling in Medicare Fraud Detection. ICONIP (3) (2022)
Narinder Singh Punn, Sonali Agarwal
Modality specific U-Net variants for biomedical image segmentation: a survey. Artif. Intell. Rev. 55 (7) (2022)
Sachin Gupta, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification. CoRR (2021)
Narinder Singh Punn, Sonali Agarwal
RCA-IUnet: A residual cross-spatial attention guided inception U-Net model for tumor segmentation in breast ultrasound imaging. CoRR (2021)
Sudhanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Recommending Best Course of Treatment Based on Similarities of Prognostic Markers. ICONIP (2) (2021)
Sudhanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Recommending best course of treatment based on similarities of prognostic markers. CoRR (2021)
Narinder Singh Punn, Sonali Agarwal
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks. Appl. Intell. 51 (5) (2021)
Mohit Dandekar, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal, Rage Uday Kiran
Fruit classification using deep feature maps in the presence of deceptive similar classes. IJCNN (2021)
Gaurav Rajput, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Hate Speech Detection Using Static BERT Embeddings. BDA (2021)
Gaurav Rajput, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Hate speech detection using static BERT embeddings. CoRR (2021)
Sachin Gupta, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
MAG-Net: Multi-task Attention Guided Network for Brain Tumor Segmentation and Classification. BDA (2021)
Prachi Agrawal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Impact of Attention on Adversarial Robustness of Image Classification Models. IEEE BigData (2021)
Narinder Singh Punn, Sonali Agarwal
Multi-modality encoded fusion with 3D inception U-net and decoder model for brain tumor segmentation. Multim. Tools Appl. 80 (20) (2021)
Narinder Singh Punn, Sonali Agarwal
Modality specific U-Net variants for biomedical image segmentation: A survey. CoRR (2021)
P. Nagabhushan, Sanjay Kumar Sonbhadra, Narinder Singh Punn, Sonali Agarwal
Towards Machine Learning to Machine Wisdom: A Potential Quest. BDA (2021)
Prachi Agrawal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Impact of Attention on Adversarial Robustness of Image Classification Models. CoRR (2021)
Harish Rajora, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Web based disease prediction and recommender system. CoRR (2021)
Narinder Singh Punn, Sonali Agarwal
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models. CoRR (2021)
Himanshu Batra, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
BERT-Based Sentiment Analysis: A Software Engineering Perspective. CoRR (2021)
Nalla Praveen, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
White blood cell subtype detection and classification. CoRR (2021)
Himanshu Batra, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
BERT-Based Sentiment Analysis: A Software Engineering Perspective. DEXA (1) (2021)
Nikhil Nasalwai, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function. PAKDD (3) (2021)
Narinder Singh Punn, Sonali Agarwal
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks. CoRR (2020)
Uppala Sumanth, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Enhanced Behavioral Cloning Based self-driving Car Using Transfer Learning. CoRR (2020)
G. Jignesh Chowdary, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Face Mask Detection Using Transfer Learning of InceptionV3. BDA (2020)
G. Jignesh Chowdary, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Face Mask Detection using Transfer Learning of InceptionV3. CoRR (2020)
Narinder Singh Punn, Sonali Agarwal
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images. CoRR (2020)
Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques. CoRR (2020)
Mohit Dandekar, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Fruit classification using deep feature maps in the presence of deceptive similar classes. CoRR (2020)
Narinder Singh Punn, Sonali Agarwal
Inception U-Net Architecture for Semantic Segmentation to Identify Nuclei in Microscopy Cell Images. ACM Trans. Multim. Comput. Commun. Appl. 16 (1) (2020)
Sonali Agarwal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, P. Nagabhushan, K. K. Soundra Pandian, Praveer Saxena
Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review. CoRR (2020)
Narinder Singh Punn, Sonali Agarwal
Crowd Analysis for Congestion Control Early Warning System on Foot Over Bridge. IC3 (2019)
Narinder Singh Punn, Sonali Agarwal
Testing Concept Drift Detection Technique on Data Stream. BDA (2018)