Procesado de datos para la toma de decisiones y aprendizaje máquina abierto
Objective:Data serves to improve TD as data reduces uncertainty about consequences associated with actions taken. For example, certain keywords in an email serve to reduce uncertainty about the usefulness of the message and therefore improve the filtering of unwanted messages. AMS uses data obtained in a training stage to obtain a function that is used to predict labels from attributes. Despite the progress made during the last decades, the tools available to the AMS system designer are often ad hoc and lack generality, transparency, usability, and interoperability . A paradigmatic case is the disparity of existing methods for AMS problems depending on the type of training data used . The fact that AMS methods are completely different depending on how the training data has been obtained makes it difficult to perform AMS in an open way. This difficulty is significantly exacerbated when heterogeneous training data obtained through collaborative and distributed efforts are to be used. This project has two main objectives: 1) to interpret AMS problems as TD problems and 2) to develop techniques for open AMS. Such a TD-theoretic interpretation can unify multiple AMS problems using diverse training data. This unification would enable the effective use of collaboratively collected and distributed data. For example, training data obtained by participants with very high annotation capabilities or using sophisticated attributes could be used in conjunction with other data obtained by participants who annotate data quickly or from simple attributes.
MATH4SPORTS - Modelización matemática para la industria deportiva: salud y rendimiento
MATH4SPORTS seeks to transfer applied mathematics as a driving technology to the field of the sports industry, with a high potential for technology transfer to start-ups, professional clubs, researchers and other agents in the innovative environment of Bizkaia.
M-KONTAK - Investigación de los Fenómenos Asociados al Contacto Metal-Metal en Tecnologías de H2 a Alta Presión
The main objective of the M-KONTAK project is to gain an in-depth understanding of the failure modes and their effect on metallic materials and the surfaces of threaded joints in candidate technologies for high-pressure H2 effect on the metallic materials and surfaces that make up the threaded jo
KAIROS - Digitalización predictiva del comportamiento a largo plazo de materiales poliméricos composites. Empleo de IA, modelización basada en la física y metodologías de aceleración de ensayos
KAIROS was created with the main objective of researching and obtaining a solution that allows multi-scale digitisation combined with ML and accelerated testing methodologies, for the study of the long-term behaviour (creep, fatigue, ageing) of polymeric materials applicable, for example, to the
CHARGER+ - Nueva Generación de Puntos de Recarga de Vehículo Eléctrico con Funcionalidades Autónomas y Colaborativas e Impacto Cero
The general objective of the CHARGER+ project is to generate the necessary knowledge to define a new generation of electric vehicle (EV) charging points, so that the related Basque companies (electricity companies, charging post installation companies and charger manufacturers) will be in an adva