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ORCIDNarinder Singh Punn
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2020 – today
- 2025
[j8]Subodh Rajpopat, Sunil Kumar, Narinder Singh Punn:
Cerebral palsy detection from infant using movements of their salient body parts and a feature fusion model. J. Supercomput. 81(1): 106 (2025)- 2022
- [j7]Narinder Singh Punn
, Sonali Agarwal:
Modality specific U-Net variants for biomedical image segmentation: a survey. Artif. Intell. Rev. 55(7): 5845-5889 (2022) - [j6]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): 4585-4600 (2022) - [j5]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): 27 (2022) - [j4]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): 3771-3792 (2022) - [c14]Sonali Agarwal, Sanjay Kumar Sonbhadra, Narinder Singh Punn:
Software Testing and Quality Assurance for Data Intensive Applications. EASE 2022: 461-462 - [c13]Kapil Deshpande, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Anomaly Detection in Surveillance Videos Using Transformer Based Attention Model. ICONIP (7) 2022: 199-211 - [c12]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: 639-658 - [i19]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 abs/2206.01413 (2022) - [i18]Kapil Deshpande, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Anomaly detection in surveillance videos using transformer based attention model. CoRR abs/2206.01524 (2022) - 2021
- [j3]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): 2689-2702 (2021) - [j2]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): 30305-30320 (2021) - [c11]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: 3-15 - [c10]Gaurav Rajput, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Hate Speech Detection Using Static BERT Embeddings. BDA 2021: 67-77 - [c9]P. Nagabhushan, Sanjay Kumar Sonbhadra, Narinder Singh Punn, Sonali Agarwal:
Towards Machine Learning to Machine Wisdom: A Potential Quest. BDA 2021: 261-275 - [c8]Prachi Agrawal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Impact of Attention on Adversarial Robustness of Image Classification Models. IEEE BigData 2021: 3013-3019 - [c7]Himanshu Batra, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
BERT-Based Sentiment Analysis: A Software Engineering Perspective. DEXA (1) 2021: 138-148 - [c6]Sudhanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Recommending Best Course of Treatment Based on Similarities of Prognostic Markers. ICONIP (2) 2021: 393-404 - [c5]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: 1-6 - [c4]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: 390-402 - [d2]Sudhanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Disease diagnosis and recommended remedy. IEEE DataPort, 2021
- [i17]Himanshu Batra, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
BERT-Based Sentiment Analysis: A Software Engineering Perspective. CoRR abs/2106.02581 (2021) - [i16]Harish Rajora, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Web based disease prediction and recommender system. CoRR abs/2106.02813 (2021) - [i15]Gaurav Rajput, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Hate speech detection using static BERT embeddings. CoRR abs/2106.15537 (2021) - [i14]Narinder Singh Punn, Sonali Agarwal:
Modality specific U-Net variants for biomedical image segmentation: A survey. CoRR abs/2107.04537 (2021) - [i13]Sudhanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Recommending best course of treatment based on similarities of prognostic markers. CoRR abs/2107.07500 (2021) - [i12]Sachin Gupta, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification. CoRR abs/2107.12321 (2021) - [i11]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 abs/2108.02508 (2021) - [i10]Nalla Praveen, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
White blood cell subtype detection and classification. CoRR abs/2108.04614 (2021) - [i9]Prachi Agrawal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Impact of Attention on Adversarial Robustness of Image Classification Models. CoRR abs/2109.00936 (2021) - [i8]Narinder Singh Punn, Sonali Agarwal:
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models. CoRR abs/2112.03916 (2021) - 2020
- [j1]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): 12:1-12:15 (2020) - [c3]G. Jignesh Chowdary, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Face Mask Detection Using Transfer Learning of InceptionV3. BDA 2020: 81-90 - [d1]Narinder Singh Punn, Sonali Agarwal:
COVID-19 Posteroanterior Chest X-Ray fused (CPCXR) dataset. IEEE DataPort, 2020 - [i7]Narinder Singh Punn, Sonali Agarwal:
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks. CoRR abs/2004.11676 (2020) - [i6]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 abs/2005.01385 (2020) - [i5]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 abs/2005.11507 (2020) - [i4]Uppala Sumanth, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Enhanced Behavioral Cloning Based self-driving Car Using Transfer Learning. CoRR abs/2007.05740 (2020) - [i3]Mohit Dandekar, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Fruit classification using deep feature maps in the presence of deceptive similar classes. CoRR abs/2007.05942 (2020) - [i2]G. Jignesh Chowdary, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Face Mask Detection using Transfer Learning of InceptionV3. CoRR abs/2009.08369 (2020) - [i1]Narinder Singh Punn, Sonali Agarwal:
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images. CoRR abs/2012.07079 (2020)
2010 – 2019
- 2019
- [c2]Narinder Singh Punn, Sonali Agarwal:
Crowd Analysis for Congestion Control Early Warning System on Foot Over Bridge. IC3 2019: 1-6 - 2018
- [c1]Narinder Singh Punn, Sonali Agarwal:
Testing Concept Drift Detection Technique on Data Stream. BDA 2018: 89-99
Coauthor Index
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