Data Science @ IFCA

This page gathers all Data Science and Deep Learning applications developed at IFCA by the Advanced Computing and e-Science Group.

Areas
biodiversity
computing
healthcare
physics
satellites
Tags
audio
autoencoders
data science
deep learning
image classification
time series
Other
ongoing projects
2021 - Ongoing
COVID and genetics

Proyect INMUGEN is using deep learning to identify the individual risk of de [...]

2021 - Ongoing
COVID and nursing homes

Proyect BRANYAS is using deep learning to infer profile risks associated to C [...]

2021 - Ongoing
COVID and radiology

We are using deep learning techniques for image analysis to look for radiomic [...]

2020 - Ongoing
COVID incidence prediction

We trained an deep learning model to try to predict COVID incidence using cur [...]

2020 - Ongoing
COVID in Spanish

The project analyzes the complete corpus of news about COVID19 published by T [...]

2020 - Ongoing
Alzheimer and wine consumption

We want to understand the relation between wine consumption and the risk of d [...]

2019 - Ongoing
Meteorology Statistical Downscaling

This usecase intends to link large-scale atmospheric variables with the local [...]

2018 - Ongoing
Water depth from satellite images

We use use a deep learning classifier to accurately predict water depth (bath [...]

2017 - Ongoing
Water quality from satellite images

We use a deep learning classifier to accurately predict water quality (algae) [...]

2019 - 2020
Dark Matter searches

We train an image classifier to classify events of the DAMIC-M (DArk Matter [...]

2019 - 2020
Fire monitoring from satellite images

We use use a deep learning classifier to accurately detect and monitor forest [...]

2019 - 2020
Water quality from sensors

We use use a machine learning models to infer water quality variables (nutrie [...]

2018 - 2020
DEEP-Hybrid-DataCloud

The final goal of the project is to prepare a new generation of e-infrastruct [...]

2018 - 2020
Proactive Network Monitoring and Security Protection

The work deals with a proactive network monitoring for security and protectio [...]

2018 - 2020
Satellite super-resolution

We use Deep Learning to upscale the multispectral images of several satellite [...]

2018 - 2019
Bird sound classifier

We trained an audio classifier to identify bird species from bird sounds.

[...]

2018 - 2019
Chest X-ray classifier

The aim of this project is to improve classification speed and accuracy of ch [...]

2018 - 2019
Conus classification

We trained an image classifier to identify conus marine snails at species lev [...]

2018 - 2019
Phytoplankton classification

We trained an image classifier to identify phytoplankton in collaboration wit [...]

2018 - 2019
Seeds classification

We trained an image classifier to identify seed images in collaboration with [...]

2018 - 2019
Modelling species distributions

We used an autoencoder to learn in an unsupervised manner the distribution of [...]

2018 - 2019
Zooplankton classification

We trained an image classifier to identify zooplankton in collaboration with [...]

2016 - 2019
Plant classification

We trained an image classifier to identify plants species. In a first iterati [...]

2017 - 2018
HEP Particle collisions

The application of deep learning techniques using convolutional neural networ [...]