Theses - INESC TEC

Supervised
thesis

Supervised thesis by Jorge Valente

What are the most relevant variables for predicting income inequality?: a machine learning approach

Author Alex Francisco Fernandes Alves

Degree MSc

Year 2023

Institution UP-FEP

Promotional Sales Forecasting in a Retail Setting

Author Ana Margarida de Figueiredo Pereira

Degree MSc

Year 2023

Institution UP-FEP

Backward Scheduling Constructive Heuristics for the Single Machine Weighted Tardiness Scheduling Problem

Author Ana Sofia Madama Martins

Degree MSc

Year 2023

Institution UP-FEP

The rise of populist attitudes: Using supervised machine learning to identify their main determinants

Author António Borges Correia

Degree MSc

Year 2023

Institution UP-FEP

Predicting Adherence to Public Health Measures During COVID-19 Pandemic: A Machine Learning Approach

Author Daniela Couto Botelho Monteiro

Degree MSc

Year 2023

Institution UP-FEP

Order Scheduling with Holding Costs and Tardiness

Author André Filipe Gandra de Sousa

Degree MSc

Year 2022

Institution UP-FEP

Space elasticities analysis in food retail: application to a Portuguese retailer

Author Diana Raquel Ferreira Ribeiro

Degree MSc

Year 2021

Institution UP-FEP

A real-time decision support system for guiding logistics vehicle operations

Author Sara Cláudio

Degree MSc

Year 2021

Institution UP-FEP

Marketplace Landing Page Optimization on Fashion Retail

Author Raquel Alexandra Gonçalves Peixoto

Degree MSc

Year 2020

Institution UP-FEP

Heuristics for the Distributed Permutation Flowshop Scheduling Problem with the Weighted Tardiness Objective

Author Maria Inês Ferraz Cerveira

Degree MSc

Year 2019

Institution UP-FEP

Adaptive learning redemption rate prediction model

Author Camila Helena Ölund Matos

Degree MSc

Year 2017

Institution UP-FEP

Heuristics for the single machine weighted quadratic tardiness scheduling problem with unequal release date

Author James Teddy Limousin Sambuchetti

Degree MSc

Year 2017

Institution UP-FEP