Sangeeta Sangeeta's Outputs (3)

An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection (2025)
Conference Proceeding
Asowo, P., Lal, S., & Ani, U. (2025). An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection. . https://doi.org/10.1007/978-3-031-77918-3_16

The threat of fake news jeopardizing the credibility of online
news platforms, particularly on social media, underscores the need for innovative solutions. This paper proposes a creative engine for detecting fake news, leveraging advanced machine le... Read More about An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection.

Android Malware Detection System using Machine Learning (2024)
Conference Proceeding
Kaur, A., Lal, S., Goel, S., Pandey, M., & Agarwal, A. (2024). Android Malware Detection System using Machine Learning. . https://doi.org/10.1145/3675888.3676049

Detecting Android malware is imperative for safeguarding user privacy, securing data, and preserving device performance. Consequently,
numerous studies have underscored the complexities associated with Android malware detection, prompting a multidim... Read More about Android Malware Detection System using Machine Learning.

The Content Quality of Crowdsourced Knowledge on Stack Overflow- A Systematic Mapping Study (2023)
Conference Proceeding
Shahrour, G., Quincey, E. D., & Lal, S. (2023). The Content Quality of Crowdsourced Knowledge on Stack Overflow- A Systematic Mapping Study. . https://doi.org/10.1145/3625007.3627729

Community Question Answering (CQA) forums such as Stack Overflow (SO) are a form of crowdsourced knowledge for software engineers who seek solutions to development and programming challenges. While such a forum provides valuable support to engineers,... Read More about The Content Quality of Crowdsourced Knowledge on Stack Overflow- A Systematic Mapping Study.