581 a 590 de 623 Resultados
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 |
Juan M. Guiote; Vanesa Lozano; Miguel A. Vallejo; Blanca Mas, 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... |
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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3 jun 2021
Castellanos, Angel; Cigarrán, Juan; Garcia-Serrano, Ana, 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 analys... |
3 jun 2021 -
Formal concept analysis for topic detection: a clustering quality experimental analysis
Archivo Gzip - 2,7 MB -
MD5: c79dfaaeba4970321576a7ce1650b40f
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3 jun 2021 -
Formal concept analysis for topic detection: a clustering quality experimental analysis
Texto plano - 4,8 KB -
MD5: a4c7c08bab5647aea051fd0737be1b0e
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