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Contribution to Graph-based Semi-supervised Learning: Joint Label and Latent Space Estimation
(2023-09-29)
Graph-based semi-supervised learning is a model from the field of machine learning that focuses on developing algorithms that allow computers to learn from data and make predictions or decisions. Datasets play a critical ...
Understanding non-convex optimization problems and stochastic optimization algorithms
(2023-11-30)
Esta tesis presenta contribuciones significativas en el campo de las heurísticas estocásticas iterativas. Se abordan varios aspectos relacionados con la comparación y mejora de algoritmos de optimización. En primer lugar, ...
Intelligent road lane mark extraction using a Mobile Mapping System
(2023-01-19)
During the last years, road landmark in- ventory has raised increasing interest in different areas: the maintenance of transport infrastructures, road 3d modelling, GIS applications, etc. The lane mark detection is posed ...
Solving Fishing Routing Problems with Metaheuristics
(2023-12-11)
The current climate change crisis, coupled with fuel price volatility, and the loss of efficiency in the fishing industry, is jeopardising the sustainability of the fishing sector. One potential approach to tackle such ...