Aman Swaraj
Orcid: 0009-0000-3277-7453
According to our database1,
Aman Swaraj authored at least 15 papers
between 2021 and 2026.
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Bibliography
2026
Are Data Augmentation and Segmentation Always Necessary? Insights from COVID-19 X-Rays and a Methodology Thereof.
CoRR, April, 2026
Is ChatGPT-Generated Code Really Green?: Evaluating AI-Generated Solutions for Energy-Efficient Coding Practices.
IEEE Softw., 2026
2025
ChatGPT Choreography: Discovering Developer Dialogues and Potential Software Development Lifecycle Applications.
Computer, July, 2025
Proceedings of the IEEE International Conference on Software Analysis, 2025
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025
Detecting Adversarial Prompted AI-Generated Code on Stack Overflow: A Benchmark Dataset and an Enhanced Detection Approach.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2025
Bridging AI and Human Knowledge: Towards a Deeper Understanding of Stack Overflow and ChatGPT.
Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering, 2025
2024
Classification of COVID-19 on Chest X-Ray Images Using Deep Learning Model with Histogram Equalization and Lung Segmentation.
SN Comput. Sci., April, 2024
2023
Programming Language Identification in Stack Overflow Post Snippets with Regex Based Tf-Idf Vectorization over ANN.
Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, 2023
2022
Classification of COVID-19 Patients with their Severity Level from Chest CT Scans using Transfer Learning.
CoRR, 2022
Proceedings of the 17th International Conference on Software Technologies, 2022
2021
Implementation of stacking based ARIMA model for prediction of Covid-19 cases in India.
J. Biomed. Informatics, 2021
Classification of COVID-19 on chest X-Ray images using Deep Learning model with Histogram Equalization and Lungs Segmentation.
CoRR, 2021
Comparison of Traditional and Hybrid Time Series Models for Forecasting COVID-19 Cases.
CoRR, 2021