RSS 1.0Software
Recent Submissions
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KNIME Workflow: Query Semantic Scholar API by DOI(2021-11-18) [Software]This workflow retrieves results from the Semantic Scholar API by DOI and then saves the results to Excel. It can be used to identify which items in a list of DOIs have a record in Semantic Scholar and to also further check if the reference list from a document has been extracted by Semantic Scholar. The workflow also includes a section to go through the citations to an item in Semantic Scholar and check if they are self-citations or not.
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swag-kaust/dda_pytorch: Direct Domain Adaptation Through Reciprocal Linear Transformations(Github, 2021-08-06) [Software]Direct Domain Adaptation Through Reciprocal Linear Transformations
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KNIME Workflow: Links from Text(2021-08-05) [Software]This workflow can be used to make an initial assessment of the amounts and types of linking from a set of documents. First, it takes a list of URLs for PDF documents in a DSpace repository and retrieves the corresponding extracted text file. The text files are then checked for HTTP links and the domains of the links are used to identify which links are to "web at large" resources, as opposed to scholarly publications. A final check is also made to identify whether any links are to materials in web archives. The outputs are saved as separate sheets in a single Excel file.
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fangyuan-ksgk/Hessian_Estimate: Inference of PODPDO model through MLE on the estimation of the Jacobian & Hessian of data likelihood with respect to the unknown parameter.(Github, 2021-06-22) [Software]Inference of PODPDO model through MLE on the estimation of the Jacobian & Hessian of data likelihood with respect to the unknown parameter.
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kaust-library/irts: Institutional Research Tracking Service - first public release(Zenodo, 2021-06-08) [Software]Provides basic functionality to harvest metadata about publications affiliated to an institution from multiple sources and to edit the records before transferring them to a DSpace repository via REST API.
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MotasemAlfarra/DeformRS:(Github, 2021-06-07) [Software]
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kaust-library/ioi: Institutional ORCID Integration 2.0(Zenodo, 2021-05-25) [Software]Fixes to correctly support DSpace 6 REST API Fixes to allow different behavior when using credentials for the non-member ORCID API Fixes to creation of affiliation entry based on LDAP data when there is no existing affiliation entry uploaded in the metadata table Fixes to local data uploads
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arthurlirui/refsepECCV2020: Code for Reflection Separation via Multi-bounce Polarization State Tracing(Github, 2021-03-31) [Software]Code for Reflection Separation via Multi-bounce Polarization State Tracing
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Holographic 3D particle imaging with model-based deep network: code(2021-03) [Software]This is the open-source repository for our paper: "Holographic 3D particle imaging with model-based deep network", Ni Chen, Congli Wang, and Wolfgang Heidrich, IEEE Transactions on Computational Imaging 7: 288-296, 2021.
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danieladamspencer/BayesGLM_Validation: This is a repository to keep track of code that is used to produce the analyses and figures for the BayesGLM Validation paper(Github, 2021-01-08) [Software]This is a repository to keep track of code that is used to produce the analyses and figures for the BayesGLM Validation paper
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HumamAlwassel/RefineLoc: RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization (WACV 2021)(Github, 2021-01-03) [Software]RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization (WACV 2021)
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New Frontiers in Bayesian Modeling Using the INLA Package in R(JOURNAL OF STATISTICAL SOFTWARE, Foundation for Open Access Statistics, 2021) [Article, Software]The INLA package provides a tool for computationally efficient Bayesian modeling and inference for various widely used models, more formally the class of latent Gaussian models. It is a non-sampling based framework which provides approximate results for Bayesian inference, using sparse matrices. The swift uptake of this framework for Bayesian modeling is rooted in the computational efficiency of the approach and catalyzed by the demand presented by the big data era. In this paper, we present new developments within the INLA package with the aim to provide a computationally efficient mechanism for the Bayesian inference of relevant challenging situations.
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The NLMS is Steady-State Schur-Convex(Code Ocean, 2021) [Software]In this work, we study the impact of input-spread on the steady-state excess mean squared error (EMSE) of the normalized least mean squares (NLMS) algorithm. First, we use the concept of majorization to order the input-regressors according to their spread. Second, we use Schur-convexity to show that the majorization order of the input-regressors is preserved in the EMSE. Effectively, we provide an analytical justification of the increase in steady-state EMSE as the input-spread increases.
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universome/non-uniform-interpolation: Differentiable non-uniform interpolation: https://arxiv.org/abs/2012.13257(Github, 2020-12-12) [Software]Differentiable non-uniform interpolation: https://arxiv.org/abs/2012.13257
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xiaxin1998/DHCN: Codes for paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'(Github, 2020-12-10) [Software]Codes for paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'
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HumamAlwassel/XDC: Self-Supervised Learning by Cross-Modal Audio-Video Clustering (NeurIPS 2020)(Github, 2020-12-02) [Software]Self-Supervised Learning by Cross-Modal Audio-Video Clustering (NeurIPS 2020)
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reality/mimpred:(Github, 2020-12-01) [Software]
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universome/inr-gan: Adversarial Generation of Continuous Images(Github, 2020-11-24) [Software]Adversarial Generation of Continuous Images
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NuriaQueralt/covid19-epidemiology-ontology: Epidemiology and monitoring ontology for COVID-19(Github, 2020-11-09) [Software]Epidemiology and monitoring ontology for COVID-19
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Jhhuangkay/DeepOpht-Medical-Report-Generation-for-Retinal-Images-via-Deep-Models-and-Visual-Explanation:(Github, 2020-10-31) [Software]
