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Aitor Almeida
Researcher at University of Deusto
Publications - 80
Citations - 1059
Aitor Almeida is an academic researcher from University of Deusto. The author has contributed to research in topics: Context (language use) & Activity recognition. The author has an hindex of 15, co-authored 69 publications receiving 764 citations.
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Journal ArticleDOI
Smart cities survey: Technologies, application domains and challenges for the cities of the future:
Ruben Sanchez-Corcuera,Adrián Núñez-Marcos,Jesus Sesma-Solance,Aritz Bilbao-Jayo,Ruben Mulero,Unai Zulaika,Gorka Azkune,Aitor Almeida +7 more
TL;DR: The paradigm of Smart Cities arises as a response to the goal of creating the city of the future, where the well-being and rights of their citizens are guaranteed, industry and urban planning is assessed from an environmental and sustainable viewpoint.
Journal ArticleDOI
Predicting Human Behaviour with Recurrent Neural Networks
Aitor Almeida,Gorka Azkune +1 more
TL;DR: A deep learning architecture based on long short-term memory networks (LSTMs) that models the inter-activity behaviour and offers a probabilistic model that allows the user to predict the user’s next actions and to identify anomalous user behaviours.
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Extending knowledge-driven activity models through data-driven learning techniques
TL;DR: This paper presents an approach to using data-driven techniques to evolve knowledge-driven activity models with a user's behavioral data and includes a novel clustering process where initial incomplete models developed through knowledge engineering are used to detect action clusters which represent activities and aggregate new actions.
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An IoT-Aware Approach for Elderly-Friendly Cities
Ruben Mulero,Aitor Almeida,Gorka Azkune,Patricia Abril-Jiménez,Maria Teresa Arredondo Waldmeyer,Miguel Páramo del Castrillo,Luigi Patrono,Piercosimo Rametta,Ilaria Sergi +8 more
TL;DR: This paper presents the data capturing and data management layers of the whole City4Age platform, an unobtrusive data gathering system implementation to collect data about daily activities of elderly people, and the implementation of the related linked open data (LOD)-based data management system.
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A critical analysis of an IoT—aware AAL system for elderly monitoring
TL;DR: A critical performance analysis of an Internet of Things aware Ambient Assient Living (AAL) system for elderly monitoring aims at defining which are the best solutions according to context’s needs.