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Listar por autor "Aineto García, Diego"

Mostrando ítems 1-9 de 9

A common framework for learning causality

Onaindia De La Rivaherrera, Eva; Aineto, Diego; Jiménez-Celorrio, Sergio (Springer-Verlag, 2018)

[EN] Causality is a fundamental part of reasoning to model the physics of an application domain, to understand the behaviour of an agent or to identify the relationship between two entities. Causality occurs when an action ...
A Comprehensive Framework for Learning Declarative Action Models

Aineto, Diego; Jiménez-Celorrio, Sergio; Onaindia De La Rivaherrera, Eva (AI Access Foundation, 2022)

[EN] A declarative action model is a compact representation of the state transitions of dynamic systems that generalizes over world objects. The specification of declarative action models is often a complex hand-crafted ...
A hierarchical model to electricity load forecasting

Díaz-Alejo León, Stéphane (Universitat Politècnica de València, 2021-09-07)

[EN] Load forecasting models have drawn attention over the last decade, due to the fact that are of great help to the modernization of the power grid, and consequently, to the environment. In particular, models that use ...
Inference and Learning with Planning Models

Aineto García, Diego (Universitat Politècnica de València, 2022-09-02)

[ES] Inferencia y aprendizaje son los actos de razonar sobre evidencia recogida con el fin de alcanzar conclusiones lógicas sobre el proceso que la originó. En el contexto de un modelo de espacio de estados, inferencia y ...
Learning action models with minimal observability

Aineto, Diego; Jiménez-Celorrio, Sergio; Onaindia De La Rivaherrera, Eva (Elsevier, 2019-10)

[EN] This paper presents FAMA, a novel approach for learning STRIPS action models from observations of plan executions that compiles the learning task into a classical planning task. Unlike all existing learning systems, ...
Observation Decoding with Sensor Models: Recognition Tasks via Classical Planning

Aineto, Diego; Jiménez-Celorrio, Sergio; Onaindia De La Rivaherrera, Eva (Association for the Advancement of Artificial Intelligence, 2020-06-19)

[EN] Observation decoding aims at discovering the underlyingstate trajectory of an acting agent from a sequence of observa-tions. This task is at the core of various recognition activitiesthat exploit planning as resolution ...
On the Influence of Renewable Energy Sources in Electricity Price Forecasting in the Iberian Market

Aineto, Diego; Iranzo-Sánchez, Javier; Lemus Zúñiga, Lenin Guillermo; Onaindia De La Rivaherrera, Eva; Urchueguía Schölzel, Javier Fermín (MDPI AG, 2019-06-01)

[EN] The mainstream of EU policies is heading towards the conversion of the nowadays electricity consumer into the future electricity prosumer (producer and consumer) in markets in which the production of electricity will ...
Turismo inteligente: análisis de patrones turísticos a través de redes sociales

Aineto García, Diego (Universitat Politècnica de València, 2016-09-08)

[ES] Mediante este proyecto planteamos el desarrollo completo de un trabajo de análisis, cuyo objetivo es estudiar el comportamiento de los turistas que visitan la ciudad de Valencia a través de su interacción con redes ...
Utilización del modelado de contexto para la interpretación de patrones frecuentes

Aineto García, Diego (Universitat Politècnica de València, 2017-09-01)

Pattern mining consists of developing data mining algorithms to discover interesting, unexpected and useful patterns in databases. Typically, interesting patterns are associated to patterns that occur frequently on the ...