Exploring one iconic task in decision making research

Application Web for Health Economics Decision Making

Data Mining Project: Classification of the Car Evaluation Dataset.

Replication of simulations and results from Chapelle, O., & Li, L. (2011). An empirical evaluation of Thompson sampling. Advances in neural information processing systems, 2249-2257.

An implementation of Multi-Objective Decision Analysis algorithms

dips: Decisions in Preference Systems

R software package for describing, explaining, simulating and predicting human decision making.

Analytical tool to help the company decide whether the employee will stay or not

RMCriteria is a package to solve Multiple-Criteria Decision Analysis (MCDA) problems. For now, it only supports Promethee methods, but other methods may be developed in the future.

Emma Fox R/Shiny Project with a docker server configuration

Scripts associated to the paper to be published

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

This repository contains the code for the paper "Infection Rate Models for COVID-19: Model Risk and Public Health News Sentiment Exposure Adjustments", by Ioannis Chalkiadakis, Kevin Hongxuan Yan, Gareth W. Peters, Pavel V. Shevchenko.

Using R, I delve into two given datasets to conduct statistical analysis to help a company in its decision-making process.

This is my first R task during my Masters. The file contain UK Data Police in West Yorkshire about street criminal crimes from Jan 2020 - Sep 2021 and the objective of this task is to find interesting facts within this data.

Monte Carlo simulations to support decision making

Code and data for an MSc project titled: Following the leader? Group movement in a socially living African ground squirrel

Research project investigating the addition of confidence bounds to the drift diffusion model (DDM) in order to explain confidence ratings and their associated reaction times.

A FOSS course cultivating the skills and understanding necessary to bring value to organisations by improving decision-making

Personalised eczema treatment recommendations