41 to 47 of 47 Results
González-Vázquez, Jesús; Marante, Carlos; Klinker, Markus; Borràs, Josep V.; Corral, Inés; Argenti, Luca; Martín, Fernando, 2023, "XChem_v1", https://doi.org/10.21950/GHWTML, e-cienciaDatos, V3
This dataset contains the first release of XChem code as registered at the Madrid Registry of Intelectual property (reg. num. 16/2022/2643). It includes the source code, installation instructions, manuals, tutorials and examples |
Jan 26, 2023 - Universidad Autónoma de Madrid
Mediavilla, Roberto, 2023, "RESPOND-HCWs - Mental health outcomes", https://doi.org/10.21950/HN1HNO, e-cienciaDatos, V2
RESPOND is an EU funded research project running from 2020 to 2023. The project aims to identify which groups are most at risk for adverse mental health effects due to the COVID-19 pandemic, as well as to understand what determines that risk. In Spain, we conducted a randomised controlled trial among healthcare workers (HCWs) with psychological dis... |
Mar 11, 2022 - Universidad Autónoma de Madrid
Campillos-Llanos, Leonardo; Capllonch-Carrión, Adrián; Valverde-Mateos, Ana; Moreno-Sandoval, Antonio, 2022, "Clinical Trials for Evidence-Based Medicine in Spanish (CT-EBM-SP) Corpus and word-embeddings", https://doi.org/10.21950/1YCBDV, e-cienciaDatos, V1
The NLPMedTerm project aims at providing the research community with resources for natural language processing (NLP) in the health domain for Spanish. A Work Package of the project is a corpus texts annotated with medical entities as a resource for experiments in Named Entity Recognition. The corpus is aimed at training machine-learning models inco... |
Pérez y Madrid, Aniceto, 2021, "El Reconocimiento Facial es un Superpoder. Cómo te afectará y por qué deberías conocerlo", https://doi.org/10.21950/5II6LN, e-cienciaDatos, V1
Imágenes a las que se hace referencia en la monografía: Pérez y Madrid, Aniceto (2021). El Reconocimiento Facial es un Superpoder. Cómo te afectará y por qué deberías conocerlo. Madrid, Dykinson/UC3M, Colección Extravagantes, n. 7. ISBN: 978-84-1377-667-5. URI: http://hdl.handle.net/10016/33010 |
Apr 26, 2021 - Universidad Politécnica de Madrid
Ochoa Guerrero, Yuri Paola; Aramburu, Iratxe; García-Fernández, Canela; Barreiro Elorza, Pilar; Hontoria Fernández, Chiquinquirá, 2020, "Espectroscopia visible (400-700nm) cercano para el estudio de suelos agrícolas", https://doi.org/10.21950/QGCZIA, e-cienciaDatos, V2
En este estudio permite verificar si la espectroscopia visible permite segregar distintas muestras de suelos con orígenes geológicos distintos y usos diferentes. Para ello se parte de muestras caracterizadas por sus propiedades físicoquímicas (textura, Carbono Orgánico Total (TOC), pH, Conductividad Eléctrica (CE), Capacidad de Intercambio Catiónic... |
Hennig, Sebastian; Garcia-Serrano, Ana M., 2020, "Reproducible experiments on the master thesis: An experimental survey of Named Entity Recognition methods in the biomedical domain", https://doi.org/10.21950/DYAZRE, e-cienciaDatos, V1
Semantic Textual Similarity (also known as Semantic Short-text Similarity) is a research problem that aims to calculate the similarity among text units (phrases, sentences, paragraphs or texts) focusing on the semantic content. The importance of Semantic Similarity in Natural Language Processing has increased in the last years due to its relevance... |
Apr 3, 2019 - Universidad Carlos III de Madrid
Olmeda, Daniel; Premebida, Cristiano; Nunes, Urbano; Armingol, José M.; Escalera, Arturo de la, 2019, "LSI Far Infrared Pedestrian Dataset", https://doi.org/10.21950/VBIIBU, e-cienciaDatos, V1
The database consists of FIR images collected from a vehicle driven in outdoors urban scenarios. Images were acquired with an Indigo Omega imager, with a resolution of 164x129 pixels, a grey-level scale of 14 bits, and focal length of 318 pixels. The camera was mounted on the exterior of the vehicle, to avoid infrared filtering of the windshield. R... |
