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ORCIDSanjay Kumar Sonbhadra
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2020 – today
- 2024
[j6]Sanjay Kumar Sonbhadra
, Sonali Agarwal, P. Nagabhushan:
Pinball-OCSVM for Early-Stage COVID-19 Diagnosis with Limited Posteroanterior Chest X-Ray Images. Int. J. Pattern Recognit. Artif. Intell. 38(3): 2457002:1-2457002:29 (2024)- 2023
- [j5]Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
Target-class guided sample length reduction and training set selection of univariate time-series. Appl. Intell. 53(6): 7056-7073 (2023) - [c16]Yash Patel, Sadhana Tiwari, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Predicting Habitable Exoplanets in Different Star-Systems Using Deep Learning Based Anomaly Detection Approach. IJCNN 2023: 1-7 - 2022
- [j4]Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
Learning target class eigen subspace (LTC-ES) via eigen knowledge grid. Turkish J. Electr. Eng. Comput. Sci. 30(4): 1337-1353 (2022) - [c15]Sonali Agarwal, Sanjay Kumar Sonbhadra, Narinder Singh Punn:
Software Testing and Quality Assurance for Data Intensive Applications. EASE 2022: 461-462 - [c14]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 - [c13]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 - [i16]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) - [i15]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]Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
Learning Target Class Feature Subspace (LTC-FS) Using Eigenspace Analysis and N-ary Search-Based Autonomous Hyperparameter Tuning for OCSVM. Int. J. Pattern Recognit. Artif. Intell. 35(13): 2151015:1-2151015:29 (2021) - [c12]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 - [c11]Gaurav Rajput, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Hate Speech Detection Using Static BERT Embeddings. BDA 2021: 67-77 - [c10]P. Nagabhushan, Sanjay Kumar Sonbhadra, Narinder Singh Punn, Sonali Agarwal:
Towards Machine Learning to Machine Wisdom: A Potential Quest. BDA 2021: 261-275 - [c9]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 - [c8]Himanshu Batra, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
BERT-Based Sentiment Analysis: A Software Engineering Perspective. DEXA (1) 2021: 138-148 - [c7]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 - [c6]Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
Target Class Supervised Sample Length and Training Sample Reduction of Univariate Time Series. IEA/AIE (2) 2021: 603-614 - [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 - [d1]Sudhanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Disease diagnosis and recommended remedy. IEEE DataPort, 2021
- [i14]Himanshu Batra, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
BERT-Based Sentiment Analysis: A Software Engineering Perspective. CoRR abs/2106.02581 (2021) - [i13]Harish Rajora, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Web based disease prediction and recommender system. CoRR abs/2106.02813 (2021) - [i12]Gaurav Rajput, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Hate speech detection using static BERT embeddings. CoRR abs/2106.15537 (2021) - [i11]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) - [i10]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) - [i9]Nalla Praveen, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
White blood cell subtype detection and classification. CoRR abs/2108.04614 (2021) - [i8]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) - 2020
- [j2]Shamshe Alam, Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
One-class support vector classifiers: A survey. Knowl. Based Syst. 196: 105754 (2020) - [j1]Shamshe Alam, Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan, Muhammad Tanveer:
Sample reduction using farthest boundary point estimation (FBPE) for support vector data description (SVDD). Pattern Recognit. Lett. 131: 268-276 (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 - [i7]Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
Target specific mining of COVID-19 scholarly articles using one-class approach. CoRR abs/2004.11706 (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]Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
Early-stage COVID-19 diagnosis in presence of limited posteroanterior chest X-ray images via novel Pinball-OCSVM. CoRR abs/2010.08115 (2020)
2010 – 2019
- 2018
- [c2]Devender Kaushik, Bakshi Rohit Prasad, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Post-Surgical Survival Forecasting of Breast Cancer Patient: A Novel Approach. ICACCI 2018: 37-41 - [c1]Sonali Agrawal, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Favour prediction of Taxi services using real-time visualization. ICACCI 2018: 2276-2282
Coauthor Index
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last updated on 2024-09-22 00:37 CEST by the dblp team
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