tag:joss.theoj.org,2005:/papers/tagged/metrics?page=2Journal of Open Source Software2020-03-20T00:32:09ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/13812020-03-20T00:32:09Z2021-02-15T11:31:19ZAnnotation Sniffer: A tool to Extract Code Annotations Metricsacceptedv2.0.02019-11-29 13:29:48 UTC472020-03-20 00:32:09 UTC520201960PhyllipeLimaCDG, National Institute of Telecommunications - INATEL, Brazil, LAC, National Institute for Space Research - INPE, Brazil0000-0002-8358-4405EduardoGuerraLAC, National Institute for Space Research - INPE, Brazil0000-0001-5555-3487PauloMeirellesEPM, Federal University of São Paulo - UNIFESP, Brazil, IME, University of São Paulo - USP, Brazil0000-0002-8923-281410.21105/joss.01960https://doi.org/10.5281/zenodo.3701910Java, Pythonhttps://joss.theoj.org/papers/10.21105/joss.01960.pdfmetadata, annotations, software-engineering, source-code-analysistag:joss.theoj.org,2005:Paper/13422020-01-26T23:29:08Z2021-02-15T11:31:20ZCaPS: Casimir Effect in the Plane-Sphere Geometryaccepted0.52019-11-21 18:55:00 UTC452020-01-26 23:29:08 UTC520202011MichaelHartmannInstitut für Physik, Universität Augsburg, 86135 Augsburg, Germany0000-0002-9245-8582Gert-LudwigIngoldInstitut für Physik, Universität Augsburg, 86135 Augsburg, Germany0000-0003-4851-219810.21105/joss.02011https://doi.org/10.5281/zenodo.3627969Python, C, C++https://joss.theoj.org/papers/10.21105/joss.02011.pdfCasimir effect, electromagnetic scattering, multipole basis, plane-sphere geometry, hierarchical matricestag:joss.theoj.org,2005:Paper/12232019-10-08T21:47:14Z2021-02-15T11:31:36Zpentapy: A Python toolbox for pentadiagonal linear systemsacceptedv1.02019-09-18 12:57:13 UTC422019-10-08 21:47:14 UTC420191759SebastianMüllerDepartment of Computational Hydrosystems, UFZ -- Helmholtz Centre for Environmental Research, Leipzig, Germany, Institute of Earth and Environmental Sciences, University Potsdam, Potsdam, Germany0000-0001-9060-400810.21105/joss.01759https://doi.org/10.5281/zenodo.3474843Pythonhttps://joss.theoj.org/papers/10.21105/joss.01759.pdfnumerics, linear equation systems, pentadiagonal matrices, pentadiagonal systemstag:joss.theoj.org,2005:Paper/11042019-07-30T07:32:47Z2021-02-15T11:31:57Zlfda: Local Fisher Discriminant Analysis in Racceptedv1.1.22019-07-13 20:14:45 UTC392019-07-30 07:32:47 UTC420191572YuanTangAnt Financial Services Group, San Mateo, CA 94402, USA0000-0001-5243-233XWenxuanLiPurdue University, West Lafayette, IN 47907, USA10.21105/joss.01572https://doi.org/10.5281/zenodo.3352038Rhttps://joss.theoj.org/papers/10.21105/joss.01572.pdfdistance metric learning, statistics, clustering, machine learning, dimensionality reduction, local fisher discriminant analysistag:joss.theoj.org,2005:Paper/7372019-03-10T12:55:04Z2021-02-15T11:32:46ZThe SuiteSparse Matrix Collection Website InterfaceacceptedJOSS-1.0.02018-11-28 00:52:22 UTC352019-03-10 12:55:04 UTC420191244ScottP.KolodziejTexas A&M University, Department of Computer Science & Engineering, College Station, TX0000-0001-8340-0824MohsenAznavehTexas A&M University, Department of Computer Science & Engineering, College Station, TX0000-0003-4860-4762MatthewBullockTexas A&M University, Department of Computer Science & Engineering, College Station, TXJarrettDavidTexas A&M University, Department of Computer Science & Engineering, College Station, TX0000-0002-1491-0393TimothyA.DavisTexas A&M University, Department of Computer Science & Engineering, College Station, TX0000-0001-7614-6899MatthewHendersonTexas A&M University, Department of Computer Science & Engineering, College Station, TXYifanHuYahoo Research, New York, NY0000-0003-2017-924XReadSandstromTexas A&M University, Department of Computer Science & Engineering, College Station, TX0000-0001-9205-152310.21105/joss.01244https://doi.org/10.6084/m9.figshare.7381076Ruby, JavaScript, Matlabhttps://joss.theoj.org/papers/10.21105/joss.01244.pdfdata repository, sparse matrices, website, web applicationtag:joss.theoj.org,2005:Paper/8462019-02-28T14:14:35Z2021-02-15T11:32:33ZpycoQC, interactive quality control for Oxford Nanopore Sequencingacceptedv2.2.02019-02-04 16:10:37 UTC342019-02-28 14:14:35 UTC420191236AdrienLegerEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridgeshire, UK0000-0001-8772-6776TommasoLeonardiGurdon Institute, Cambridge, Cambridgeshire, UK, Center for Genomic Science IIT\@SEMM, Istituto Italiano di Tecnologia (IIT), Milan, Italy0000-0002-4449-186310.21105/joss.01236https://doi.org/10.5281/zenodo.2578275Pythonhttps://joss.theoj.org/papers/10.21105/joss.01236.pdfpython3, plots, metrics, nanopore sequencing, interactive, quality controltag:joss.theoj.org,2005:Paper/7222019-02-27T14:19:11Z2021-02-15T11:32:49ZOApackage: A Python package for generation and analysis of orthogonal arrays, optimal designs and conference designsaccepted2.5.12018-11-11 19:35:30 UTC342019-02-27 14:19:11 UTC420191097PieterThijsEendebakDepartment of Engineering Management, University of Antwerp, Belgium, Netherlands Organisation for Applied Scientific Research (TNO), P.O. Box 155, 2600 AD Delft, The Netherlands0000-0001-7018-1124AlanRobertoVazquezDepartment of Engineering Management, University of Antwerp, Belgium, Department of Biosystems, KU Leuven, Leuven, Belgium0000-0002-3658-091110.21105/joss.01097https://doi.org/10.5281/zenodo.2579025PowerShell, Python, C++https://joss.theoj.org/papers/10.21105/joss.01097.pdforthogonal arrays, optimal designs, conference matrices, conference designs, design of experimentstag:joss.theoj.org,2005:Paper/8082019-02-13T13:55:27Z2021-02-15T11:32:40ZHODLRlib: A Library for Hierarchical Matricesaccepted3.14152019-01-11 08:35:06 UTC342019-02-13 13:55:27 UTC420191167SivaramAmbikasaranDepartment of Mathematics, Indian Institute of Technology MadrasKaranRajSinghDepartment of Computational & Data Sciences, Indian Institute of ScienceShyamSundarSankaranDepartment of Mathematics, Indian Institute of Technology Madras10.21105/joss.01167https://doi.org/10.5281/zenodo.2561575C++, Pythonhttps://joss.theoj.org/papers/10.21105/joss.01167.pdfHierarchical Matrix, Fast Algorithms, Covariance Matrices, Gaussian Processes, Interpolation, Brownian Dynamicstag:joss.theoj.org,2005:Paper/5882018-11-06T06:39:39Z2021-02-15T11:33:06ZJavaPermutationTools: A Java Library of Permutation Distance Metricsaccepted1.02018-08-08 19:06:06 UTC312018-11-06 06:39:39 UTC32018950VincentA.CicirelloComputer Science, School of Business, Stockton University, Galloway, NJ 082050000-0003-1072-855910.21105/joss.00950https://doi.org/10.5281/zenodo.1478192Javahttps://joss.theoj.org/papers/10.21105/joss.00950.pdfpermutation distance, permutation metric, fitness landscape analysis, evolutionary population managementtag:joss.theoj.org,2005:Paper/6692018-10-23T18:51:54Z2021-02-15T11:32:53Zdml: Distance Metric Learning in Racceptedv1.1.02018-10-18 03:12:03 UTC302018-10-23 18:51:54 UTC320181036YuanTangAnt Financial Services Group, San Mateo, CA 94402, USA0000-0001-5243-233XTaoGaoMinghong Investment Management, Shanghai 200122, ChinaNanXiaoSeven Bridges Genomics, Inc., Cambridge, MA 02142, USA0000-0002-0250-567310.21105/joss.01036https://doi.org/10.5281/zenodo.1469129Rhttps://joss.theoj.org/papers/10.21105/joss.01036.pdfdistance metric learning, statistics, clustering, machine learning, dimensionality reduction