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Deep learning based domain adaptation for mitochondria segmentation on EM volumes.
(Elsevier, 2022-07)
[EN] BACKGROUND AND OBJECTIVE: Accurate segmentation of electron microscopy (EM) volumes of the brain is essential to characterize neuronal structures at a cell or organelle level. While supervised deep learning methods ...
Are the statistical tests the best way to deal with the biomarker selection problem?
(Springer, 2022-06)
Statistical tests are a powerful set of tools when applied correctly, but unfortunately the extended misuse of them has caused great concern. Among many other applications, they are used in the detection of biomarkers so ...
Identification and measurement of tropical tuna species in purse seiner catches using computer vision and deep learning
(Elsevier, 2022-03)
Fishery monitoring programs are essential for effective management of marine resources, as they provide scientists and managers with the necessary data for both the preparation of scientific advice and fisheries control ...
Multiple-view flexible semi-supervised classification through consistent graph construction and label propagation
(Elsevier, 2022-02)
Graph construction plays an essential role in graph-based label propagation since graphs give some information on the structure of the data manifold. While most graph construction methods rely on predefined distance ...
Active Mapping and Robot Exploration: A Survey
(MDPI, 2021-04-02)
Simultaneous localization and mapping responds to the problem of building a map of the environment without any prior information and based on the data obtained from one or more sensors. In most situations, the robot is ...
Aplicacion de modelos matematicos para el mantenimiento predictivo
(2020-10-22)
La presente memoria de tesis presenta una revisión sobre la actividad de investigación aplicada que se ha realizado mediante varios proyectos relacionados con el mantenimiento predictivo asociado a procesos industriales. ...
Penalized Partial Least Square applied to structured data
(Springer, 2020-08)
Nowadays, data analysis applied to high dimension has arisen. The edification of high-dimensional data can be achieved by the gathering of different independent data. However, each independent set can introduce its own ...
Efficient multi-task based facial landmark and gesture detection in monocular images
(SciTePress, Science and Technology Publications, Lda, 2021)
[EN] The communication between persons includes several channels to exchange information between individuals.
The non-verbal communication contains valuable information about the context of the conversation and it is
a ...
Statistical Atlases and Automatic Labeling Strategies to Accelerate the Analysis of Social Insect Brain Evolution
(Frontiers Media, 2022-02)
[EN] Current methods used to quantify brain size and compartmental scaling relationships in studies of social insect brain evolution involve manual annotations of images from histological samples, confocal microscopy or ...
On-demand serverless video surveillance with optimal deployment of deep neural networks
(SciTePress, Science and Technology Publications, Lda, 2021)
[EN] We present an approach to optimally deploy Deep Neural Networks (DNNs) in serverless cloud architectures.
A serverless architecture allows running code in response to events, automatically managing the required
computing ...