CRIteria Significance determining in PYthoN - The Python 3 Library for determining criteria weights for MCDA methods.

This repository contains a reinforcement learning framework for decision-level interception prioritization of drone swarms. It evaluates RL agent performance against heuristic methods in simulation, focusing on intercepting hostile drones with kinetic effectors to reduce damage to sensitive zones.

Code for "Towards Human-AI Complementarity with Prediction Sets", NeurIPS 2024

The code accompanies the paper "Clustering temporal disease networks to assist clinical decision support systems in visual analytics of comorbidity progression".

Python library for coordinated planning in two-level systems, finding compromise solutions between a Center and Elements using mathematical models & a GUI.

This repository hosts the DECIDE-DSS prototype, which presents the initial idea for an universally designed outcome-driven decision support system. It incorporate network analysis to other forms of urban analytics in themes such as climate adaptation, disaster-risk management, urbal liveability and management of antisocial behaviours (i.e. crime).