Search Results for author: Guillem Pascual

Found 5 papers, 0 papers with code

Analytical Modelling of Raw Data for Flow-Guided In-body Nanoscale Localization

no code implementations27 Sep 2023 Guillem Pascual, Filip Lemic, Carmen Delgado, Xavier Costa-Perez

An analytical modeling of the effects of imperfect communication and constrained energy causing intermittent operation of the nanodevices on the raw data produced by the nanodevices would be beneficial.

Graph Neural Networks as an Enabler of Terahertz-based Flow-guided Nanoscale Localization over Highly Erroneous Raw Data

no code implementations9 Jul 2023 Gerard Calvo Bartra, Filip Lemic, Guillem Pascual, Aina Pérez Rodas, Jakob Struye, Carmen Delgado, Xavier Costa Pérez

Our first contribution lies in an analytical model of raw data for flow-guided localization, dissecting how communication and energy capabilities influence the nanodevices' data output.

Event Detection

Time-based Self-supervised Learning for Wireless Capsule Endoscopy

no code implementations20 Apr 2022 Guillem Pascual, Pablo Laiz, Albert García, Hagen Wenzek, Jordi Vitrià, Santi Seguí

State-of-the-art machine learning models, and especially deep learning ones, are significantly data-hungry; they require vast amounts of manually labeled samples to function correctly.

Self-Supervised Learning

Uncertainty Gated Network for Land Cover Segmentation

no code implementations29 May 2018 Guillem Pascual, Santi Seguí, Jordi Vitrià

The production of thematic maps depicting land cover is one of the most common applications of remote sensing.

General Classification Segmentation +1

Generic Feature Learning for Wireless Capsule Endoscopy Analysis

no code implementations26 Jul 2016 Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià

Most of the CAD systems in the capsule endoscopy share a common system design, but use very different image and video representations.

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