rel="stylesheet">
Toggle navigation
Contact us
Intranet login
About us
Overview
History
Organization
Partnerships
Facts and Figures
IT Sites
IT Aveiro
IT Coimbra
IT Lisboa
IT Branch - Covilhã
IT Branch - ISCTE-IUL
IT Branch - Leiria
IT Branch - Porto
Research & Innovation
Thematic Lines
Research Impact
Research Landmarks
Lab Infrastructure
Technology Transfer
Start-ups & Spin-offs
News & Events
News
Coming Events
Past Events
Outreach Activities
Clipping
Newsletters
Work With Us
Positions for Doctorates
Other research positions
Other contract positions
Why choose IT
Testimonials
Resources
Annual Reports
Quality Policy
Code of Conduct
Gender Equality
Sustainability
Privacy Policy
Corruption Prevention Plan
Support Staff
Complaints Channel
Press Kit
Search!
Creating and sharing knowledge in communications and information technology
Home
Thematic Lines
Information and Data Sciences
Selection of Sustainable Dividend Stocks Combining XGBoost with Genetic Algorithm
Close
<p>It appears your web browser doesn't support iframes.</p>
Information and Data Sciences
CONCLUDED MSC THESIS
Selection of Sustainable Dividend Stocks Combining XGBoost with Genetic Algorithm
Francisco José Couto da Silva
Supervisors:
Rui Fuentecilla Maia Ferreira Neves
University:
Instituto Superior Técnico
Keywords:
© 2026, IT - Instituto de Telecomunicações | All Rights Reserved
