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Subject: Computer and Information Science

21 to 30 of 121 Results

Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data] Mar 24, 2023 - HITS MBM Rennekamp, Benedikt; Gräter, Frauke, 2023, "Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]", https://doi.org/10.11588/data/HJ6SVM, heiDATA, V1, UNF:6:Da6omTKjrSvNcDwyJxuHOg== [fileUNF] This dataset contains input files for MD simulations, derived breakage counts from these simulations that are used to generate the figures in the publication, and the experimental, uncropped SDS-PAGE gels of the presented results in the related publication. Abstract of related pu...
Computer Assisted Clinical Medicine(Heidelberg University - Medical Faculty Mannheim) Sep 11, 2017 Data publications from the Chair in Computer Assisted Clinical Medicine at the Medical Faculty Mannheim (Heidelberg University).
Converter for content-to-head style syntactic dependencies Mar 26, 2020 - Empirical Linguistics and Computational Language Modeling (LiMo) Rehbein, Ines; Steen, Julius; Do, Bich-Ngoc; Frank, Anette, 2020, "Converter for content-to-head style syntactic dependencies", https://doi.org/10.11588/data/HE3BAZ, heiDATA, V1 A set of Python scripts that convert function-head style encodings in dependency treebanks in a content-head style encoding (as used in the UD treebanks) and vice versa (for adpositions, copula and coordination). For more information, see (Rehbein, Steen, Do & Frank 2017).
COREC – A neural multi-label COmmonsense RElation Classification system Oct 22, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo) Becker, Maria, 2019, "COREC – A neural multi-label COmmonsense RElation Classification system", https://doi.org/10.11588/data/E5EHBV, heiDATA, V1 We examine the learnability of Commonsense knowledge relations as represented in CONCEPTNET. We develop a neural open world multi-label classification system that focuses on the evaluation of classification accuracy for individual relations. Based on an in-depth study of the spec...
Data Analysis and Modeling in Medicine(Heidelberg University, Medical Faculty Mannheim) Oct 24, 2023 Open Research Data from the Data Analysis and Modeling in Medicine at the Medical Faculty Mannheim of Heidelberg University.
Database Systems Research Group(Heidelberg University - Institute of Computer Science) Aug 13, 2014 Data publications of the database systems research group at Heidelberg University.
Datasets for Dependency Tree Reranking Nov 13, 2023 - Neural Techniques for German Dependency Parsing Do, Bich-Ngoc; Rehbein, Ines, 2023, "Datasets for Dependency Tree Reranking", https://doi.org/10.11588/data/E5NOYH, heiDATA, V1 This resource contains the datasets for dependency tree reranking in 3 languages: English, German and Czech. The creation, analysis and experiment results of the datasets are described in the paper: Do and Rehbein (2020). "Neural Reranking for Dependency Parsing: An Evaluation".
DeModify Jul 15, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo) Nastase, Vivi; Fritz, Devon; Frank, Anette, 2019, "DeModify", https://doi.org/10.11588/data/KIWEMF, heiDATA, V1 deModify consists of 3631 instances, each with three annotations obtained through CrowdFlower. An instance is a short story in which a modifier is annotated with respect to its impact on the information in the story, assessed through its deletion from the context: crucial, not-cr...
DFK-Paris(Deutsches Forum für Kunstgeschichte) Oct 26, 2020arthistoricum.net@heiDATA Open Research Data from the German Center for Art History (Deutsches Forum für Kunstgeschichte)
Differentiable RANSAC (DSAC) for Visual Re-Localization [Data] Sep 7, 2020 - IWR Visual Learning Lab Brachmann, Eric, 2020, "Differentiable RANSAC (DSAC) for Visual Re-Localization [Data]", https://doi.org/10.11588/data/3JVZSH, heiDATA, V1 Pre-trained models of our camera re-localization method for the MSR 7Scenes dataset. For more information, also see the code documentation: https://github.com/cvlab-dresden/DSAC

Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]

Mar 24, 2023 - HITS MBM

Rennekamp, Benedikt; Gräter, Frauke, 2023, "Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]", https://doi.org/10.11588/data/HJ6SVM, heiDATA, V1, UNF:6:Da6omTKjrSvNcDwyJxuHOg== [fileUNF]

This dataset contains input files for MD simulations, derived breakage counts from these simulations that are used to generate the figures in the publication, and the experimental, uncropped SDS-PAGE gels of the presented results in the related publication. Abstract of related pu...

Computer Assisted Clinical Medicine(Heidelberg University - Medical Faculty Mannheim)

Sep 11, 2017

Data publications from the Chair in Computer Assisted Clinical Medicine at the Medical Faculty Mannheim (Heidelberg University).

Converter for content-to-head style syntactic dependencies

Mar 26, 2020 - Empirical Linguistics and Computational Language Modeling (LiMo)

Rehbein, Ines; Steen, Julius; Do, Bich-Ngoc; Frank, Anette, 2020, "Converter for content-to-head style syntactic dependencies", https://doi.org/10.11588/data/HE3BAZ, heiDATA, V1

A set of Python scripts that convert function-head style encodings in dependency treebanks in a content-head style encoding (as used in the UD treebanks) and vice versa (for adpositions, copula and coordination). For more information, see (Rehbein, Steen, Do & Frank 2017).

COREC – A neural multi-label COmmonsense RElation Classification system

Oct 22, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)

Becker, Maria, 2019, "COREC – A neural multi-label COmmonsense RElation Classification system", https://doi.org/10.11588/data/E5EHBV, heiDATA, V1

We examine the learnability of Commonsense knowledge relations as represented in CONCEPTNET. We develop a neural open world multi-label classification system that focuses on the evaluation of classification accuracy for individual relations. Based on an in-depth study of the spec...

Data Analysis and Modeling in Medicine(Heidelberg University, Medical Faculty Mannheim)

Oct 24, 2023

Open Research Data from the Data Analysis and Modeling in Medicine at the Medical Faculty Mannheim of Heidelberg University.

Database Systems Research Group(Heidelberg University - Institute of Computer Science)

Aug 13, 2014

Data publications of the database systems research group at Heidelberg University.

Datasets for Dependency Tree Reranking

Nov 13, 2023 - Neural Techniques for German Dependency Parsing

Do, Bich-Ngoc; Rehbein, Ines, 2023, "Datasets for Dependency Tree Reranking", https://doi.org/10.11588/data/E5NOYH, heiDATA, V1

This resource contains the datasets for dependency tree reranking in 3 languages: English, German and Czech. The creation, analysis and experiment results of the datasets are described in the paper: Do and Rehbein (2020). "Neural Reranking for Dependency Parsing: An Evaluation".

DeModify

Jul 15, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)

Nastase, Vivi; Fritz, Devon; Frank, Anette, 2019, "DeModify", https://doi.org/10.11588/data/KIWEMF, heiDATA, V1

deModify consists of 3631 instances, each with three annotations obtained through CrowdFlower. An instance is a short story in which a modifier is annotated with respect to its impact on the information in the story, assessed through its deletion from the context: crucial, not-cr...

DFK-Paris(Deutsches Forum für Kunstgeschichte)

Oct 26, 2020arthistoricum.net@heiDATA

Open Research Data from the German Center for Art History (Deutsches Forum für Kunstgeschichte)

Differentiable RANSAC (DSAC) for Visual Re-Localization [Data]

Sep 7, 2020 - IWR Visual Learning Lab

Brachmann, Eric, 2020, "Differentiable RANSAC (DSAC) for Visual Re-Localization [Data]", https://doi.org/10.11588/data/3JVZSH, heiDATA, V1

Pre-trained models of our camera re-localization method for the MSR 7Scenes dataset. For more information, also see the code documentation: https://github.com/cvlab-dresden/DSAC

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