3,571 to 3,580 of 3,617 Results
Nov 8, 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 |
Nov 8, 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 and obtain a license for the National Library of Medicine (NLM) of th... |
Nov 8, 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_dockerRelease.tar.gz.cpt. In order to obtain a decrypt password for this, yo... |
Nov 8, 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 |
Nov 8, 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]. IMPORTANT NOTE!. If main link fails you can download this file from ht... |
Guiote, Juan Manuel; Lozano, Vanesa; Vallejo, Miguel Angel; Mas Hesse, Blanca, 2021, "Autogenic meditation training in a randomized controlled trial: a framework for promoting mental health and attention regulation in children", https://doi.org/10.21950/SVZ860, e-cienciaDatos, V1
This research project aims to know the effectiveness of autogenic meditation training on selective and sustained attention, state and trait anxiety and a set of emotional and behavioral symptoms in a Spanish scholar population sample. DESIGN: Multi-arm randomized controlled trial through three parallel conditions: 1. Autogenic meditation training p... |
Hoja de cálculo MS Excel - 19,2 KB -
MD5: 1c47892186d9cb9377f42b7d31c23b13
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Adobe PDF - 58,8 KB -
MD5: e2cfd51cdc358cedc54f1eac093f9ca6
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Texto plano - 5,2 KB -
MD5: d17301e3f50e28ab558722398490a878
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Jun 3, 2021
Castellanos, Angel; Cigarran Recuero, Juan Manuel; Garcia-Serrano, Ana M., 2021, "Formal concept analysis for topic detection: a clustering quality experimental analysis", https://doi.org/10.21950/ML9OI9, e-cienciaDatos, V1
RepLab is a competitive evaluation exercise for Online Reputation Management systems organized as an activity of CLEF. RepLab 2013 focused on the task of monitoring the reputation of entities (companies, organizations, celebrities, etc.) on Twitter. The monitoring task for analysts consists of searching the stream of tweets for potential mentions t... |
