Patent
Title: Boosted Ensemble System for Accurate Fake News Detection
Boosted Ensemble System for Accurate Fake News Detection, Indian Patent Application (Form 1), Application No. 202541097523, TEMP/E-1/107557/2025-CHE, filed on 09 October 2025; Applicant: Udit Gupta, Assistant Professor, Department of Artificial Intelligence and Data Science, CMR Institute of Technology, Bangalore, India. Patent_1
Research Paper
Title: Optimized Fake News Detection in Social Networks Using Boosting Algorithms and Machine Learning Classifiers
Publication/Publisher :2nd International Conference on Computing and Machine Learning (CML 2025)
Publication Date: 03/23/2025
Description :Presented at a Scopus-indexed international conference, this research introduces an ensemble learning-based approach using CatBoost, Gradient Boosting, AdaBoost, and Multinomial Naïve Bayes to enhance the accuracy of fake job posting detection significantly. The model tackles key challenges such as high false positives, evolving misinformation patterns, and high-dimensional text data through optimized preprocessing and boosting techniques.
Published Link: ResearchPaper
Publication URL: Show Publication