10.351 a 10.360 de 14.014 Resultados
25 nov 2021 -
Differential gene expression of neural stem cells in proliferation and dopaminergic differentiation conditions
Texto plano - 4,8 KB -
MD5: b6c084fa0877d822ab9034b8575edb48
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25 nov 2021 -
Differential gene expression of neural stem cells in proliferation and dopaminergic differentiation conditions
Hoja de cálculo MS Excel - 2,5 MB -
MD5: 8165b7f680cfbd95931802ba0503a643
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11 nov 2021 - Universidad Carlos III de Madrid
Serrano, Pablo; Gramaglia, Marco; Mancini, Francesco; Chiaraviglio, Luca; Bianchi, Giuseppe, 2021, "Dataset used in "Balloons in the Sky: Unveiling the Characteristics and Trade-offs of the Google Loon Service"", https://doi.org/10.5281/ZENODO.5676212
This dataset was used for the paper "Balloons in the Sky: Unveiling the Characteristics and Trade-offs of the Google Loon Service" It is composed of three different files, identifying three different case studies Peru, Puerto Rico, and Kenya Once uncompressed, the files are store...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
Archivo Gzip - 20,2 GB -
MD5: 25f14da7080c2ee1b84713300d286c46
This file contains all the BERT models and dependencies evaluated in HESML V2R1 as detailed in [1]. IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/BERTExperiments.tar.gz |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
Archivo ZIP - 42,8 GB -
MD5: 6c8d651f74559f16cac879722b46bff8
This file contains the BioC XML files in unicode format from PMC Corpus The dataset has been downloaded from 1 on 5 June, 2019. IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/BioCManuscriptCorpus.zip |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
Archivo Gzip - 19,4 GB -
MD5: a27819702fb003f346d7ec541533a480
This file contains all the character and sentence pretrained models evaluated in HESML V2R1 as detailed in [1]. IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/CharacterAndSentenceEmbeddings.tar.gz |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
application/mac-compactpro - 10,4 GB -
MD5: 3c265c455fe16950e93ce03387bc92d0
This file contains all the dependencies and external sources for executing the experiments in [1]. IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/Dependencies.tar.gz.cpt. In order to obtain a decrypt password for this, you should sign... |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
application/mac-compactpro - 6,3 GB -
MD5: 05370eef043129f0783b5901440c6cef
This file contains the Docker-based image with all the pre-installed software and tools for executing the experiments detailed in this dataset and develop in HESML V2R1. IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/hesml_v2r1_docker... |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
Archivo ZIP - 100,9 GB -
MD5: 079326772685a95c86e0ed003137bd42
IMPORTANT NOTE!. If main link fails you can download this file from https://doi.org/10.21950/PreprocessedBioCCorpus.zip |
8 nov 2021 -
Reproducible experiments on word and sentence similarity measures for the biomedical domain
Archivo Gzip - 39,0 GB -
MD5: 6ccf1d8b29b824cafd36ac1d3a238d1b
This file contains the Word Embedding pretrained models detailed in HESML V2R1 [1] and our pretrained model based on Fastext [3] in the BioC PMC Corpus [4].
Our pretrained model has been trained on Fastext skipgram model using the parameters from [1] in the BioC PMC Corpus [4].... |