Code for the paper Learning the Predictability of the Future (CVPR 2021)

a time series anomaly detection method based on the calibrated one-class classifier

Notebooks for CS5340: Uncertainty Modeling in AI at NUS

An analytical essay on why prediction-based models fail in reflexive, unstable systems. This article argues that accuracy collapses when models influence behavior, and proposes equilibrium and force-based modeling as a more robust framework for understanding pressure, instability, and transitions in AI-shaped systems.

Decision-awareness system for detecting contradictions in complex data environments.

This repository contains GAMS solutions for modeling and solving a robust optimization problem. Tasks include formulating a dietary plan, addressing uncertainties, and comparing solutions under different uncertainty models.

Master’s thesis on generalized intuitionistic fuzzy soft sets and mathematical frameworks for uncertainty modeling.

Human-in-the-loop decision intelligence for evaluating strategic choices under uncertainty, robustness, and misinterpretation.

Ternary Logic requires that every financial transaction, every trade, every loan, and every policy decision generate a permanent, legally binding, court-admissible record of its justification before execution. And if justification is uncertain, the system simply refuses to proceed until a human with proper authority resolves the uncertainty.