• A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease 

  El-Sappagh, Shaker; Alonso Moral, José María; Islam, Sumaiya M. Riazul; Sultan, Ahmad M.; Kwak, Kyung-Sup (Springer Nature, 2021)

  Alzheimer’s disease (AD) is the most common type of dementia. Its diagnosis and progression detection have been intensively studied. Nevertheless, research studies often have little effect on clinical practice mainly due ...

• Simulating transport pathways of pelagic Sargassum from the Equatorial Atlantic into the Caribbean Sea 

  Putman, Nathan; Goni, Gustavo Jorge; Gramer, Lewis J.; Hu, Chuanmin; Johns, Elizabeth M.; Triñanes Fernández, Joaquín Ángel; Wang, Mengqiu (Elsevier, 2018)

  Since 2011, beach inundation of massive amounts of pelagic Sargassum algae has occurred around the Caribbean nations and islands. Previous studies have applied satellite ocean color to determine the origins of this phenomenon. ...

• Large Decadal Changes in Air-Sea CO2 Fluxes in the Caribbean Sea 

  Wanninkhof, Rik; Triñanes Fernández, Joaquín Ángel; Park, Geun-ha; Gledhill, Dwight K.; Olsen, Are S. (Wiley, 2019)

  Sixteen years of surface water CO2 data from autonomous systems on cruise ships sailing in the Caribbean Sea and Western North Atlantic show marked changes on interannual timescales. The measured changes in fugacity (≈partial ...

• Dual-Window Superpixel Data Augmentation for Hyperspectral Image Classification 

  Acción Montes, Álvaro; Argüello Pedreira, Francisco Santiago; Blanco Heras, Dora (MDPI, 2020)

  Deep learning (DL) has been shown to obtain superior results for classification tasks in the field of remote sensing hyperspectral imaging. Superpixel-based techniques can be applied to DL, significantly decreasing training ...

• A Big Data Platform for Real Time Analysis of Signs of Depression in Social Media 

  Martínez Castaño, Rodrigo; Pichel Campos, Juan Carlos; Losada Carril, David Enrique (MDPI, 2020)

  In this paper we propose a scalable platform for real-time processing of Social Media data. The platform ingests huge amounts of contents, such as Social Media posts or comments, and can support Public Health surveillance ...

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