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Automatic left ventricle volume calculation with explainability through a deep learning weak-supervision methodology

Pérez-Pelegrí, Manuel; Monmeneu, Jose V.; López-Lereu, María P.; Pérez-Pelegrí, Lucía; Maceira, Alicia M.; Bodi, Vicente; Moratal, David (Elsevier, 2021-09)

[EN] Background and objective: Magnetic resonance imaging is the most reliable imaging technique to assess the heart. More specifically there is great importance in the analysis of the left ventricle, as the main pathologies ...
Exploring the use of machine learning and explainability in Marketing Mix Modeling

Kisilevich, Slava; Herrmann, Markus (Editorial Universitat Politècnica de València, 2023-09-22)

[EN] Marketing Mix Modeling (MMM) employs statistical techniques, typically linear regressions, to assess the impact of advertising expenditure on sales. Despite advancements in statistics and machine learning, the field ...
Unified and Multilingual Author Profiling for Detecting Haters

Schlicht, Ipek Baris; Magnossao de Paula, Angel Felipe (CEUR, 2021-09-24)

[EN] This paper presents a unified user profiling framework to identify hate speech spreaders by processing their tweets regardless of the language. The framework encodes the tweets with sentence transformers and applies ...

Mostrando ítems 1-3 de 3