Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques NS Punn, SK Sonbhadra, S Agarwal, G Rai arXiv preprint arXiv:2005.01385, 2020 | 310 | 2020 |
Face mask detection using transfer learning of inceptionv3 G Jignesh Chowdary, NS Punn, SK Sonbhadra, S Agarwal Big Data Analytics: 8th International Conference, BDA 2020, Sonepat, India …, 2020 | 302 | 2020 |
COVID-19 epidemic analysis using machine learning and deep learning algorithms NS Punn, SK Sonbhadra, S Agarwal MedRxiv, 2020.04. 08.20057679, 2020 | 289 | 2020 |
One-class support vector classifiers: A survey S Alam, SK Sonbhadra, S Agarwal, P Nagabhushan Knowledge-Based Systems 196, 105754, 2020 | 109 | 2020 |
Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review S Agarwal, NS Punn, SK Sonbhadra, M Tanveer, P Nagabhushan, ... arXiv preprint arXiv:2005.11507, 2020 | 89 | 2020 |
Target specific mining of COVID-19 scholarly articles using one-class approach SK Sonbhadra, S Agarwal, P Nagabhushan Chaos, Solitons & Fractals 140, 110155, 2020 | 62 | 2020 |
Bert-based sentiment analysis: A software engineering perspective H Batra, NS Punn, SK Sonbhadra, S Agarwal Database and Expert Systems Applications: 32nd International Conference …, 2021 | 41 | 2021 |
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques. arXiv 2020 NS Punn, SK Sonbhadra, S Agarwal, G Rai arXiv preprint arXiv:2005.01385, 2005 | 38 | 2005 |
Sample reduction using farthest boundary point estimation (FBPE) for support vector data description (SVDD) S Alam, SK Sonbhadra, S Agarwal, P Nagabhushan, M Tanveer Pattern Recognition Letters 131, 268-276, 2020 | 21 | 2020 |
Hate speech detection using static bert embeddings G Rajput, NS Punn, SK Sonbhadra, S Agarwal Big Data Analytics: 9th International Conference, BDA 2021, Virtual Event …, 2021 | 20 | 2021 |
COVID-19 epidemic analysis using machine learning and deep learning algorithms. medRxiv 2020 NS Punn, SK Sonbhadra, S Agarwal Google Scholar][CrossRef][Green Version], 0 | 17 | |
White blood cell subtype detection and classification N Praveen, NS Punn, SK Sonbhadra, S Agarwal, M Syafrullah, K Adiyarta 2021 8th International Conference on Electrical Engineering, Computer …, 2021 | 16 | 2021 |
Anomaly detection in surveillance videos using transformer based attention model K Deshpande, NS Punn, SK Sonbhadra, S Agarwal International Conference on Neural Information Processing, 199-211, 2022 | 14 | 2022 |
Enhanced behavioral cloning-based self-driving car using transfer learning U Sumanth, NS Punn, SK Sonbhadra, S Agarwal Data Management, Analytics and Innovation: Proceedings of ICDMAI 2021 …, 2021 | 13 | 2021 |
Addressing the class imbalance problem in medical image segmentation via accelerated tversky loss function N Nasalwai, NS Punn, SK Sonbhadra, S Agarwal Pacific-Asia conference on knowledge discovery and data mining, 390-402, 2021 | 13 | 2021 |
MAG-Net: Multi-task attention guided network for brain tumor segmentation and classification S Gupta, NS Punn, SK Sonbhadra, S Agarwal Big Data Analytics: 9th International Conference, BDA 2021, Virtual Event …, 2021 | 11 | 2021 |
Post-surgical survival forecasting of breast cancer patient: a novel approach D Kaushik, BR Prasad, SK Sonbhadra, S Agarwal 2018 International Conference on Advances in Computing, Communications and …, 2018 | 11 | 2018 |
Exploring Public Opinion Dynamics on the Verge of World War III Using Russia-Ukraine War-Tweets Dataset NS Agarwal, NS Punn, SK Sonbhadra KDD-UC: Washington, DC, USA, 2022 | 9 | 2022 |
Effect of scalability and mobility on on-demand routing protocols in a mobile Ad-hoc network C Wahi, SK Sonbhadra, S Chakraverty, V Bhattacharjee Lecture Notes on Software Engineering 1 (1), 12, 2013 | 6 | 2013 |
Impact of attention on adversarial robustness of image classification models P Agrawal, NS Punn, SK Sonbhadra, S Agarwal 2021 IEEE International Conference on Big Data (Big Data), 3013-3019, 2021 | 5 | 2021 |