[NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contribution)

Machine Learning and Large Language Model Proof-of-Concept Project

Unified interface for Gradient Boosted Decision Trees

==>>Problem Statement : In the past few years, the malware industry has grown very rapidly that, the syndicates invest heavily in technologies to evade traditional protection, forcing the anti-malware groups/communities to build more robust softwares to detect and terminate these attacks. The major part of protecting a computer system from a mal…

NOx prediction

Congestion Operations and Traffic Response Expert CORTEX AI is a self-learning event impact intelligence and traffic operations copilot built for the Astram event traffic operations platform. The system uses sparse multimodal event data (combining structural event details with natural language description embeddings) to predict traffic impact score

A smart question tagging and matching system using traditional ML and NLP. It finds similar questions, tags them, and groups related ones to reduce duplicates. Built with TF-IDF, cosine similarity , KMeans & XgBoost, GBDT,Logistic Regression for fast, scalable, and real-world use.

Use of Gradient Boosting Descision Trees for a Classification Problem