Doctorat en Intel·ligència Artificial
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Denoising wavefront sensor image with deep neural networks
(International Society for Photo-Optical Instrumentation Engineers (SPIE), 2020)
Conference report
Open AccessA classical closed-loop adaptive optics system with a Shack-Hartmann wavefront sensor (WFS) relies on a center of gravity approach to process the WFS information and an integrator with gain to produce the commands to a ... -
Effects of gamification in BCI functional rehabilitation
(2020-08-21)
Article
Open AccessOBJECTIVE: To evaluate whether introducing gamification in BCI rehabilitation of the upper limbs of post-stroke patients has a positive impact on their experience without altering their efficacy in creating motor mental ... -
Fusing hotel ratings and reviews with hesitant terms and consensus measures
(2020-02-27)
Article
Restricted access - publisher's policyPeople have come to refer to reviews for valuable information on products before making a purchase. Digesting relevant opinions regarding a product by reading all the reviews is challenging. An automated methodology which ... -
Textual visual semantic dataset for text spotting
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessText Spotting in the wild consists of detecting and recognizing text appearing in images (e.g. signboards, traffic signals or brands in clothing or objects). This is a challenging problem due to the complexity of the context ... -
MetH: A family of high-resolution and variable-shape image challenges
(2019-11-20)
External research report
Open AccessHigh-resolution and variable-shape images have not yet been properly addressed by the AI community. The approach of down-sampling data often used with convolutional neural networks is sub-optimal for many tasks, and has ... -
Aplicación de la evaluación parcial a la metaprogramación
(1990)
External research report
Open AccessIf we apply partial evaluation to a meinterpreter and a program, we obtain another program that combines the functionalities of interpreter and the results of the program, without the inefficiency of the interpretation. ... -
Building graph representations of deep vector embeddings
(Association for Computational Linguistics, 2017)
Conference lecture
Open AccessPatterns stored within pre-trained deep neural networks compose large and powerful descriptive languages that can be used for many different purposes. Typically, deep network representations are implemented within vector ... -
Full-network embedding in a multimodal embedding pipeline
(Association for Computational Linguistics, 2017)
Conference lecture
Open AccessThe current state-of-the-art for image annotation and image retrieval tasks is obtained through deep neural networks, which combine an image representation and a text representation into a shared embedding space. In this ... -
Herramienta basada en minería de datos para la automatización del diseño de sistemas inteligentes en EDAR
(Asociación Española de Abastecimientos de Agua y Saneamiento, 2019)
Conference lecture
Open AccessUno de los principales problemas para diseñar e implementar un sistema de supervisión y control para un proceso radica en la necesidad de establecer una solución ad-hoc para cada instalación. La interoperabilidad de los ... -
An interoperable workflow-based framework for the automation of building intelligent process control systems
(International Environmental Modelling and Software Society (iEMSs), 2018)
Conference lecture
Open AccessOne of the major problems to design and implement a control/supervision system for a process lies in the need to establish an ad-hoc system for each process installation. On the other side, an open challenge related to the ... -
Application of CBR for intelligent process control of a WWTP
(IOS Press, 2019)
Article
Open AccessThis paper proposes the use of a Case-Based Reasoning (CBR) system for the control and the supervision of a real wastewater treatment plant (WWTP). A WWTP is a critical system which aims to ensure the quality of the water ... -
Analyzing distances in word embeddings and their relation with seme analysis
(IOS Press, 2019)
Conference report
Open AccessWord embeddings have recently become a fundamental tool of Natural Language Processing, with application to tasks like machine translation or image annotation. The high-dimensional space defined by these embeddings is ...
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