RDF description Dr. Aritz Bilbao Jayo

Research Associate

Jan. 2014  -  Present
aritzbilbao [at] deusto.es


social-network-icon ORCID

[u' @article{irizar-arrieta_addressing_2020, title = {Addressing {Behavioural} {Technologies} {Through} the {Human} {Factor}: {A} {Review}}, volume = {8}, issn = {2169-3536}, shorttitle = {Addressing {Behavioural} {Technologies} {Through} the {Human} {Factor}}, url = {https://ieeexplore.ieee.org/document/9035412/}, doi = {10.1109/ACCESS.2020.2980785}, abstract = {Energy-efficiency related research has reached a growing interest in recent years due to the imminent scarcity of non-renewable resources in our environment and the impending impacts their usage have on our environment. Thus, facing the reduction of energy waste and management has become a pivotal issue in our society. To cope with energy inefficiency, the scientific research community has identified the promotion of people\u2019s behaviour change as a critical field to foster environmental sustainability. However, the body of literature shows a lack of systematic methods and processes to reach a common ground when designing technology for promoting sustainable behaviour change. Therefore, this paper contributes with a thorough review and analysis of state of the art. Firstly, theoretical works related to behaviour change are collected and studied to clarify their main concepts and theories. Secondly, the different technologies, processes, methods and techniques applied in the field are reviewed to find diverse strategies in the application of the previously explained theoretical domains. Moreover, a wide range of systems developed to improve energy efficiency through human behaviour change is analysed (from augmented objects to the Internet of Things, digital applications or websites). Finally, the detected research gaps are listed to guide future research when aiming to raise the awareness of individuals through Information and Communication Technologies.}, urldate = {2020-04-29}, journal = {IEEE Access}, author = {Irizar-Arrieta, Ane and Gomez-Carmona, Oihane and Bilbao-Jayo, Aritz and Casado-Mansilla, Diego and Lopez-De-Ipina, Diego and Almeida, Aitor}, year = {2020}, keywords = {Activity Recognition, Behaviour change, Behaviour modelling, FuturAAL, ICT, Intelligent Environments, Internet of Things, JCR3.745, Q1, Sustainability, Sustainable Behaviour Change, sentientthings}, pages = {52306--52322} }']

[u' @article{sanchez-corcuera_smart_2019, title = {Smart cities survey: {Technologies}, application domains and challenges for the cities of the future}, volume = {15}, issn = {1550-1477}, shorttitle = {Smart cities survey}, url = {https://doi.org/10.1177/1550147719853984}, doi = {10.1177/1550147719853984}, abstract = {The introduction of the Information and Communication Technologies throughout the last decades has created a trend of providing daily objects with smartness, aiming to make human life more comfortable. The paradigm of Smart Cities arises as a response to the goal of creating the city of the future, where (1) the well-being and rights of their citizens are guaranteed, (2) industry and (3) urban planning is assessed from an environmental and sustainable viewpoint. Smart Cities still face some challenges in their implementation, but gradually more research projects of Smart Cities are funded and executed. Moreover, cities from all around the globe are implementing Smart City features to improve services or the quality of life of their citizens. Through this article, (1) we go through various definitions of Smart Cities in the literature, (2) we review the technologies and methodologies used nowadays, (3) we summarise the different domains of applications where these technologies and methodologies are applied (e.g. health and education), (4) we show the cities that have integrated the Smart City paradigm in their daily functioning and (5) we provide a review of the open research challenges. Finally, we discuss about the future opportunities for Smart Cities and the issues that must be tackled in order to move towards the cities of the future.}, language = {en}, number = {6}, urldate = {2019-06-10}, journal = {International Journal of Distributed Sensor Networks}, author = {S\xe1nchez-Corcuera, Ruben and Nu\xf1ez-Marcos, Adri\xe1n and Sesma-Solance, Jesus and Bilbao-Jayo, Aritz and Mulero, Rub\xe9n and Zulaika, Unai and Azkune, Gorka and Almeida, Aitor}, month = jun, year = {2019}, keywords = {IF1.151, IoT, Q4, Survey, architecture, co-creation, e-government, futuraal, smart cities}, pages = {1550147719853984} }']

[u' @article{bilbao_jayo_automatic_2018, title = {Automatic political discourse analysis with multi-scale convolutional neural networks and contextual data}, issn = {1550-1477}, url = {https://journals.sagepub.com/doi/10.1177/1550147718811827}, doi = {10.1177/1550147718811827}, abstract = {In this article, the authors propose a new approach to automate the analysis of the political discourse of the citizens and public servants, to allow public administrations to better react to their needs and claims. The tool presented in this article can be applied to the analysis of the underlying political themes in any type of text, in order to better understand the reasons behind it. To do so, the authors have built a discourse classifier using multi-scale convolutional neural networks in seven different languages: Spanish, Finnish, Danish, English, German, French, and Italian. Each of the language-specific discourse classifiers has been trained with sentences extracted from annotated parties\u2019 election manifestos. The analysis proves that enhancing the multi-scale convolutional neural networks with context data improves the political analysis results.}, urldate = {2018-11-15}, journal = {International Journal of Distributed Sensor Networks}, author = {Bilbao Jayo, Aritz and Almeida, Aitor}, month = nov, year = {2018}, note = {00001}, keywords = {NLP, Q3, cnn, convolutional networks, e-rmp, embeddings, jcr1.614, political discourse, politics} }']

[u' @inproceedings{almeida_embedding-level_2018, address = {Guanzhou, China}, title = {Embedding-level attention and multi-scale convolutional neural networks for behaviour modelling}, doi = {10.1109/SmartWorld.2018.00103}, abstract = {Understanding human behaviour is a central task in intelligent environments. Understanding what the user does and how she does it allows to build more reactive and smart environments. In this paper we present a new approach to interactivity behaviour modelling. This approach is based on the use of multi-scale convolutional neural networks to detect n-grams in action sequences and a novel method of applying soft attention mechanisms at embedding level. The proposed architecture improves our previous architecture based on recurrent networks, obtaining better result predicting the users\u2019 actions.}, author = {Almeida, Aitor and Azkune, Gorka and Bilbao Jayo, Aritz}, month = oct, year = {2018}, keywords = {City4Age, Deep Learning, Intelligent Environments, Neural Networks, attention mechanism, behavior modelling, cnn, convolutional networks, core-b, embeddings, isi} }']

[u' @inproceedings{bilbao_jayo_political_2018, address = {Melbourne, Australia}, title = {Political discourse classification in social networks using context sensitive convolutional neural networks}, url = {http://www.aclweb.org/anthology/W18-3513}, abstract = {In this study we propose a new approach to analyse the political discourse in online social networks such as Twitter. To do so, we have built a discourse classifier using Convolutional Neural Networks. Our model has been trained using election manifestos annotated manually by political scientists following the Regional Manifestos Project (RMP) methodology. In total, it has been trained with more than 88,000 sentences extracted from more that 100 annotated manifestos. Our approachtakes into account the context of the phrase in order to classify it, like what was previously said and the political affiliation of the transmitter. To improve the classification results we have used a simplified political message taxonomy developed within the Electronic Regional Manifestos Project (E-RMP). Using this taxonomy, we have validated our approach analysing the Twitter activity of the main Spanish political parties during 2015 and 2016 Spanish general election and providing a study of their discourse.}, booktitle = {Proceedings of the {Sixth} {International} {Workshop} on {Natural} {Language} {Processing} for {Social} {Media}}, author = {Bilbao Jayo, Aritz and Almeida, Aitor}, month = jul, year = {2018}, keywords = {NLP, Twitter, cnn, convolutional networks, e-rmp, embeddings, political discourse, politics, social networks}, pages = {76--85} }']

[u' @article{bilbao_jayo_promotion_2016, title = {Promotion of active ageing combining sensor and social network data}, volume = {64}, issn = {1532-0464}, url = {http://www.sciencedirect.com/science/article/pii/S1532046416301307}, doi = {10.1016/j.jbi.2016.09.017}, abstract = {The increase of life expectancy in modern society has caused an increase in elderly population. Elderly people want to live independently in their home environment for as long as possible. However, as we age, our physical skills tend to worsen and our social circle tends to become smaller, something that often leads to a considerable decrease of both our physical and social activities. In this paper, we present an AAL framework developed within the SONOPA project, whose objective is to promote active ageing by combining a social network with information inferred using in-home sensors.}, urldate = {2016-10-10TZ}, journal = {Journal of Biomedical Informatics}, author = {Bilbao Jayo, Aritz and Almeida, Aitor and L\xf3pez-de-Ipi\xf1a, Diego}, month = dec, year = {2016}, note = {00001}, keywords = {Active ageing, Ambient Assisted Living, Context-Aware Computing, Data analysis, Intelligent Environments, Q1, Social networks, fraseware, jcr2.447, social network analysis, sonopa}, pages = {108--115} }']