141 a 150 de 900 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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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].... |
3 nov. 2021 - Grupo de Comunicaciones (GCOM)
López Morales, Manuel José, 2021, "Matlab Figures of the article "Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM"", https://doi.org/10.21950/DM47HJ, e-cienciaDatos, V1
The dataset contains all the figures present in the article "Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM" in .fig format, so they can be opened and used for comparison purposes. |
