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Recent Submissions
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TALP at eHealth-KD Challenge 2020: Multi-level recurrent and convolutional neural networks for joint classification of key-phrases and relations
(CEUR-WS.org, 2020)
Conference report
Open AccessThis article describes the model presented by the TALP Team to IberLEF’s eHealth Knowledge Discovery 2020 shared task[1]. The model iterates over the idea of using a single model for simultaneously identify key-phrases and ... -
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 ... -
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 ... -
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 ... -
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 ... -
K nearest neighbour optimal selection in fuzzy inductive reasoning for smart grid applications
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessEnergy recasting has been an area of great interest in the last years. It unlocks, not only the Smart Grid's potential with load balancing but also new business models and added value services. To achieve an accurate, ... -
Talp-UPC at eHealth-KD challenge 2019: A joint model with contextual embeddings for clinical information extraction
(CEUR-WS.org, 2019)
Conference report
Open AccessMost eHealth entity recognition and relation extraction models tackle the identification of entities and relations with independent specialized models. In this article, we show how a single combined model can exploit the ...
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