Sanjay Kumar Sonbhadra
Orcid: 0000-0002-7457-9655
According to our database1,
Sanjay Kumar Sonbhadra
authored at least 32 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Pinball-OCSVM for Early-Stage COVID-19 Diagnosis with Limited Posteroanterior Chest X-Ray Images.
Int. J. Pattern Recognit. Artif. Intell., March, 2024
2023
Target-class guided sample length reduction and training set selection of univariate time-series.
Appl. Intell., March, 2023
Predicting Habitable Exoplanets in Different Star-Systems Using Deep Learning Based Anomaly Detection Approach.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Turkish J. Electr. Eng. Comput. Sci., 2022
Impact of the Composition of Feature Extraction and Class Sampling in Medicare Fraud Detection.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the EASE 2022: The International Conference on Evaluation and Assessment in Software Engineering 2022, Gothenburg, Sweden, June 13, 2022
2021
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., 2021
MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification.
CoRR, 2021
Addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Fruit classification using deep feature maps in the presence of deceptive similar classes.
Proceedings of the International Joint Conference on Neural Networks, 2021
Target Class Supervised Sample Length and Training Sample Reduction of Univariate Time Series.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the Database and Expert Systems Applications, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the Big Data Analytics - 9th International Conference, 2021
Proceedings of the Big Data Analytics - 9th International Conference, 2021
MAG-Net: Multi-task Attention Guided Network for Brain Tumor Segmentation and Classification.
Proceedings of the Big Data Analytics - 9th International Conference, 2021
2020
Sample reduction using farthest boundary point estimation (FBPE) for support vector data description (SVDD).
Pattern Recognit. Lett., 2020
Early-stage COVID-19 diagnosis in presence of limited posteroanterior chest X-ray images via novel Pinball-OCSVM.
CoRR, 2020
Fruit classification using deep feature maps in the presence of deceptive similar classes.
CoRR, 2020
CoRR, 2020
Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review.
CoRR, 2020
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques.
CoRR, 2020
CoRR, 2020
Proceedings of the Big Data Analytics - 8th International Conference, 2020
2018
Proceedings of the 2018 International Conference on Advances in Computing, 2018
Proceedings of the 2018 International Conference on Advances in Computing, 2018