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Repositorio de Datos del Consorcio Madroño

Universidad de Alcalá

Universidad Autónoma de Madrid

Universidad Carlos III de Madrid

Universidad Nacional de Educación a Distancia (UNED)

Universidad Politécnica de Madrid

Universidad Rey Juan Carlos

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16,121 to 16,130 of 19,954 Results

EMEA+scielo-es_skipgram_w=10_dim=100_minfreq=1_neg=10_lr=1e-4.vec Mar 11, 2022 - Clinical Trials for Evidence-Based Medicine in Spanish (CT-EBM-SP) Corpus and word-embeddings Desconocido - 56,3 MB - MD5: 815e0176d2f3f2b9062683ef14239725 DataDatos Non-binary file containing the vector values and dimensions for each token
EMEA+scielo-es_skipgram_w=10_dim=100_minfreq=1_neg=10_sample=1e-4.gensim Mar 11, 2022 - Clinical Trials for Evidence-Based Medicine in Spanish (CT-EBM-SP) Corpus and word-embeddings Desconocido - 38,1 MB - MD5: 7eeef55f7dc9b0900b338c7f23963591 DataDatos This file can be loaded to the Gensim library
readme.txt Mar 11, 2022 - Clinical Trials for Evidence-Based Medicine in Spanish (CT-EBM-SP) Corpus and word-embeddings Texto plano - 11,5 KB - MD5: 7f40cef7cb5f3508de42b532e9e410cc DocumentaciónDocumentation
Clinical Trials for Evidence-Based Medicine in Spanish (CT-EBM-SP) Corpus and word-embeddings 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...
APPENDIX 2 in Cholevinae (Coleoptera: Leiodidae) of the Sierra de Guadarrama National Park, Spain: occurrence in the MSS of a siliceous landscape Mar 2, 2022 - Universidad de Alcalá Ledesma, Enrique; Jiménez-Valverde, Alberto; Salgado, José María; Ortuño, Vicente M., 2022, "APPENDIX 2 in Cholevinae (Coleoptera: Leiodidae) of the Sierra de Guadarrama National Park, Spain: occurrence in the MSS of a siliceous landscape", https://doi.org/10.5281/ZENODO.6324125 APPENDIX 2. — Distribution maps of all the Cholevinae species collected in the MSS of the Sierra de Guadarrama National Park, except for Choleva (Cholevopsis) punctata Brisout, 1866. \| Published as part of Ledesma, Enrique, Jiménez-Valverde, Alberto, Salgado, José María & Ortuño, Vicente M., 2022, Cholevinae (Coleoptera: Leiodidae) of the Sierra de... Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.
Neural Policy Style Transfer with Twin-Delayed DDPG (NPST3) Feb 28, 2022 - Universidad Carlos III de Madrid Raul Fernandez-Fernandez; Marco Aggravi; Juan G. Victores; Paolo Robuffo Giordano; Claudio Pacchierotti, 2021, "Neural Policy Style Transfer with Twin-Delayed DDPG (NPST3)", https://doi.org/10.5281/ZENODO.5718542 Neural Policy Style Transfer with Twin-Delayed DDPG (NPST3) dataset. The research leading to these results has received funding from: RoboCity2030-DIH-CM, Madrid Robotics Digital Innovation Hub, S2018/NMT-4331, funded by “Programas de Actividades I+D en la Comunidad de Madrid” and cofunded by Structural Funds of the EU; ROBOASSET, ”Sistemas robótic... Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo.
Reproducible experiments on word and sentence similarity measures for the biomedical domain Feb 17, 2022 - Universidad Nacional de Educación a Distancia (UNED) Lara-Clares, Alicia; Lastra-Díaz, Juan José; Garcia-Serrano, Ana M., 2021, "Reproducible experiments on word and sentence similarity measures for the biomedical domain", https://doi.org/10.21950/EPNXTR, e-cienciaDatos, V2 This dataset introduces a set of reproducibility resources with the aim of allowing the exact replication of the experiments introduced by our main paper, which is a reproducible experimental survey on biomedical sentence similarity with the following aims: (1) to elucidate the state of the art of the problem; (2) to solve some reproducibility prob...
BioSentenceSimRawOutput.tar.gz Feb 17, 2022 - Reproducible experiments on word and sentence similarity measures for the biomedical domain Archivo Gzip - 3,8 MB - MD5: cf57dfaf65f152043ff1f801da15ce75 This file contains the raw output files of a complete execution of the software clients HESMLSTSImpactPreprocessingclient and HESMLSTSclient.
hesml_v2r1_githubRelease.zip Feb 17, 2022 - Reproducible experiments on word and sentence similarity measures for the biomedical domain Archivo ZIP - 65,8 MB - MD5: 903d58ac1442816cfe8ea134741dbfe2 This file contains the Java and Python code 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_githubRelease.zip
readme.pdf Feb 17, 2022 - Reproducible experiments on word and sentence similarity measures for the biomedical domain Adobe PDF - 107,3 KB - MD5: afc8cb21bcf6dce92789e79d0c3584bb This file details the information sources and dependencies.

EMEA+scielo-es_skipgram_w=10_dim=100_minfreq=1_neg=10_lr=1e-4.vec

Mar 11, 2022 - Clinical Trials for Evidence-Based Medicine in Spanish (CT-EBM-SP) Corpus and word-embeddings

Desconocido - 56,3 MB -

DataDatos

Non-binary file containing the vector values and dimensions for each token

EMEA+scielo-es_skipgram_w=10_dim=100_minfreq=1_neg=10_sample=1e-4.gensim

Mar 11, 2022 - Clinical Trials for Evidence-Based Medicine in Spanish (CT-EBM-SP) Corpus and word-embeddings

Desconocido - 38,1 MB -

DataDatos

This file can be loaded to the Gensim library

readme.txt

Mar 11, 2022 - Clinical Trials for Evidence-Based Medicine in Spanish (CT-EBM-SP) Corpus and word-embeddings

Texto plano - 11,5 KB -

DocumentaciónDocumentation

Clinical Trials for Evidence-Based Medicine in Spanish (CT-EBM-SP) Corpus and word-embeddings

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...

APPENDIX 2 in Cholevinae (Coleoptera: Leiodidae) of the Sierra de Guadarrama National Park, Spain: occurrence in the MSS of a siliceous landscape

Mar 2, 2022 - Universidad de Alcalá

Ledesma, Enrique; Jiménez-Valverde, Alberto; Salgado, José María; Ortuño, Vicente M., 2022, "APPENDIX 2 in Cholevinae (Coleoptera: Leiodidae) of the Sierra de Guadarrama National Park, Spain: occurrence in the MSS of a siliceous landscape", https://doi.org/10.5281/ZENODO.6324125

APPENDIX 2. — Distribution maps of all the Cholevinae species collected in the MSS of the Sierra de Guadarrama National Park, except for Choleva (Cholevopsis) punctata Brisout, 1866. | Published as part of Ledesma, Enrique, Jiménez-Valverde, Alberto, Salgado, José María & Ortuño, Vicente M., 2022, Cholevinae (Coleoptera: Leiodidae) of the Sierra de...

Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.

Neural Policy Style Transfer with Twin-Delayed DDPG (NPST3)

Feb 28, 2022 - Universidad Carlos III de Madrid

Raul Fernandez-Fernandez; Marco Aggravi; Juan G. Victores; Paolo Robuffo Giordano; Claudio Pacchierotti, 2021, "Neural Policy Style Transfer with Twin-Delayed DDPG (NPST3)", https://doi.org/10.5281/ZENODO.5718542

Neural Policy Style Transfer with Twin-Delayed DDPG (NPST3) dataset. The research leading to these results has received funding from: RoboCity2030-DIH-CM, Madrid Robotics Digital Innovation Hub, S2018/NMT-4331, funded by “Programas de Actividades I+D en la Comunidad de Madrid” and cofunded by Structural Funds of the EU; ROBOASSET, ”Sistemas robótic...

Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo.

Reproducible experiments on word and sentence similarity measures for the biomedical domain

Feb 17, 2022 - Universidad Nacional de Educación a Distancia (UNED)

Lara-Clares, Alicia; Lastra-Díaz, Juan José; Garcia-Serrano, Ana M., 2021, "Reproducible experiments on word and sentence similarity measures for the biomedical domain", https://doi.org/10.21950/EPNXTR, e-cienciaDatos, V2

This dataset introduces a set of reproducibility resources with the aim of allowing the exact replication of the experiments introduced by our main paper, which is a reproducible experimental survey on biomedical sentence similarity with the following aims: (1) to elucidate the state of the art of the problem; (2) to solve some reproducibility prob...

BioSentenceSimRawOutput.tar.gz

Feb 17, 2022 - Reproducible experiments on word and sentence similarity measures for the biomedical domain

Archivo Gzip - 3,8 MB -

This file contains the raw output files of a complete execution of the software clients HESMLSTSImpactPreprocessingclient and HESMLSTSclient.

hesml_v2r1_githubRelease.zip

Feb 17, 2022 - Reproducible experiments on word and sentence similarity measures for the biomedical domain

Archivo ZIP - 65,8 MB -

This file contains the Java and Python code 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_githubRelease.zip

readme.pdf

Feb 17, 2022 - Reproducible experiments on word and sentence similarity measures for the biomedical domain

Adobe PDF - 107,3 KB -

This file details the information sources and dependencies.

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