Sanjay Kumar Sonbhadra

Orcid: 0000-0002-7457-9655

According to our database1, Sanjay Kumar Sonbhadra authored at least 31 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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
Learning target class eigen subspace (LTC-ES) via eigen knowledge grid.
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

Anomaly Detection in Surveillance Videos Using Transformer Based Attention Model.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Software Testing and Quality Assurance for Data Intensive Applications.
Proceedings of the EASE 2022: The International Conference on Evaluation and Assessment in Software Engineering 2022, Gothenburg, Sweden, June 13, 2022

2021
Disease diagnosis and recommended remedy.
Dataset, July, 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

White blood cell subtype detection and classification.
CoRR, 2021

MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification.
CoRR, 2021

Web based disease prediction and recommender system.
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

Recommending Best Course of Treatment Based on Similarities of Prognostic Markers.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

BERT-Based Sentiment Analysis: A Software Engineering Perspective.
Proceedings of the Database and Expert Systems Applications, 2021

Impact of Attention on Adversarial Robustness of Image Classification Models.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Hate Speech Detection Using Static BERT Embeddings.
Proceedings of the Big Data Analytics - 9th International Conference, 2021

Towards Machine Learning to Machine Wisdom: A Potential Quest.
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

One-class support vector classifiers: A survey.
Knowl. Based Syst., 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

Enhanced Behavioral Cloning Based self-driving Car Using Transfer Learning.
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

Target specific mining of COVID-19 scholarly articles using one-class approach.
CoRR, 2020

Face Mask Detection Using Transfer Learning of InceptionV3.
Proceedings of the Big Data Analytics - 8th International Conference, 2020

2018
Post-Surgical Survival Forecasting of Breast Cancer Patient: A Novel Approach.
Proceedings of the 2018 International Conference on Advances in Computing, 2018

Favour prediction of Taxi services using real-time visualization.
Proceedings of the 2018 International Conference on Advances in Computing, 2018


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