tag:joss.theoj.org,2005:/papers/in/PowerShellJournal of Open Source Software2023-03-18T11:05:04ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/37402023-03-18T11:05:04Z2023-03-19T00:03:19ZUM-Bridge: Uncertainty quantification and modeling bridgeaccepted1.1.12022-07-22 20:31:01 UTC832023-03-18 11:05:04 UTC820234748LinusSeelingerInstitute for Applied Mathematics, Heidelberg University, Heidelberg, Germany0000-0001-8632-8493VivianCheng-SeelingerIndependent researcherAndrewDavisCourant Institute of Mathematical Sciences, New York Univeristy, New York, NY, USA0000-0002-6023-0989MatthewParnoDepartment of Mathematics, Dartmouth College, Hannover, NH, USA0000-0002-9419-2693AnneReinarzDepartment of Computer Science, Durham University, Durham, United Kingdom0000-0003-1787-763710.21105/joss.04748https://doi.org/10.5281/zenodo.7743819R, Python, PowerShellhttps://joss.theoj.org/papers/10.21105/joss.04748.pdfC++tag:joss.theoj.org,2005:Paper/41532023-03-16T01:48:45Z2023-03-17T02:32:36Zadrt: approximate discrete Radon transform for Pythonacceptedv1.0.02023-01-06 18:29:04 UTC832023-03-16 01:48:45 UTC820235083KarlOtnessNew York University, New York, NY, USA0000-0001-8534-2648DonsubRimWashington University in St. Louis, St. Louis, MO, USA0000-0002-6721-207010.21105/joss.05083https://doi.org/10.5281/zenodo.7738254Python, C++, PowerShellhttps://joss.theoj.org/papers/10.21105/joss.05083.pdfnumerical algorithms, fast transforms, image processing, Radon transform, approximate discrete Radon transformtag:joss.theoj.org,2005:Paper/36412022-11-11T02:30:09Z2023-04-17T16:12:31Ztell: a Python package to model future total electricity loads in the United Statesaccepted0.1.02022-06-03 02:16:53 UTC792022-11-11 02:30:09 UTC720224472CaseyR.McGrathPacific Northwest National Laboratory, Richland, WA., USA0000-0002-8808-8312CaseyD.BurleysonPacific Northwest National Laboratory, Richland, WA., USA0000-0001-6218-9361ZarrarKhanJoint Global Change Research Institute, PNNL, College Park, MD, USA0000-0002-8147-8553AowabinRahmanPacific Northwest National Laboratory, Richland, WA., USA0000-0003-2543-5126TravisThurberPacific Northwest National Laboratory, Richland, WA., USA0000-0002-4370-9971ChrisR.VernonPacific Northwest National Laboratory, Richland, WA., USA0000-0002-3406-6214NathalieVoisinPacific Northwest National Laboratory, Richland, WA., USA0000-0002-6848-449XJennieS.RicePacific Northwest National Laboratory, Richland, WA., USA0000-0002-7833-945610.21105/joss.04472https://doi.org/10.5281/zenodo.7246116Jupyter Notebook, Python, PowerShellhttps://joss.theoj.org/papers/10.21105/joss.04472.pdfElectricity loads, MultiSector Dynamicstag:joss.theoj.org,2005:Paper/36762022-10-09T08:15:05Z2022-10-10T00:01:31ZNanomesh: A Python workflow tool for generating meshes from image dataaccepted0.9.02022-06-24 11:34:16 UTC782022-10-09 08:15:05 UTC720224654StefSmeetsNetherlands eScience Center, The Netherlands0000-0002-5413-9038NicolasRenaudNetherlands eScience Center, The Netherlands0000-0001-9589-2694LarsJ. Corbijnvan WillenswaardUniversity of Twente, The Netherlands0000-0001-6554-152710.21105/joss.04654https://doi.org/10.5281/zenodo.7157382Python, Jupyter Notebook, PowerShellhttps://joss.theoj.org/papers/10.21105/joss.04654.pdffinite-element-methods, microscopy, meshing, image-processingtag:joss.theoj.org,2005:Paper/31282022-03-04T15:52:11Z2022-03-05T00:01:18ZPopMedNet: A scalable and extensible open-source informatics platform designed to facilitate the implementation and operation of distributed health data networksaccepted2021.42021-10-22 13:27:08 UTC712022-03-04 15:52:11 UTC720224062DanielDeeGeneral Dynamics Information TechnologyDeanCorriveauGeneral Dynamics Information TechnologyJeffreyR.LaddGeneral Dynamics Information TechnologyLakshmiNannapaneniGeneral Dynamics Information TechnologyJohnArkinsGeneral Dynamics Information TechnologyJeffreyBrownHarvard Pilgrim Health Care Institute10.21105/joss.04062https://doi.org/10.5281/zenodo.6325732C#, PowerShell, Smalltalk, SAShttps://joss.theoj.org/papers/10.21105/joss.04062.pdfc#, dotnettag:joss.theoj.org,2005:Paper/29992021-10-19T10:54:39Z2022-01-18T12:10:02ZAuDoLab: Automatic document labelling and classification for extremely unbalanced dataacceptedv1.0.72021-08-27 10:20:38 UTC662021-10-19 10:54:39 UTC620213719ArneTillmannGeorg-August-Universität Göttingen, Göttingen, GermanyAntonThielmannGeorg-August-Universität Göttingen, Göttingen, GermanyGillianKantGeorg-August-Universität Göttingen, Göttingen, GermanyChristophWeisserGeorg-August-Universität Göttingen, Göttingen, Germany, Campus-Institut Data Science (CIDAS), Göttingen, GermanyBenjaminSäfkenGeorg-August-Universität Göttingen, Göttingen, Germany, Campus-Institut Data Science (CIDAS), Göttingen, GermanyAlexanderSilbersdorffGeorg-August-Universität Göttingen, Göttingen, Germany, Campus-Institut Data Science (CIDAS), Göttingen, GermanyThomasKneibGeorg-August-Universität Göttingen, Göttingen, Germany, Campus-Institut Data Science (CIDAS), Göttingen, Germany10.21105/joss.03719https://doi.org/10.5281/zenodo.5575835Python, PowerShellhttps://joss.theoj.org/papers/10.21105/joss.03719.pdfOne-class SVM, Unsupervised Document Classification, One-class Document Classification, LDA Topic Modelling, Out-of-domain Training Datatag:joss.theoj.org,2005:Paper/27672021-09-30T16:22:48Z2022-01-18T12:03:45ZCOVID-19 Lung Segmentationaccepted2.0.02021-06-16 14:26:47 UTC652021-09-30 16:22:48 UTC620213447RiccardoBiondiDepartment of Experimental, Diagnostic and Specialty Medicine of Bologna UniversityNicoCurtieDIMESLab, Department of Experimental, Diagnostic and Specialty Medicine of Bologna University0000-0001-5802-1195EnricoGiampierieDIMESLab, Department of Experimental, Diagnostic and Specialty Medicine of Bologna University0000-0003-2269-2338GastoneCastellaniDepartment of Experimental, Diagnostic and Specialty Medicine of Bologna University0000-0003-4892-925X10.21105/joss.03447https://doi.org/10.5281/zenodo.5535568Python, PowerShellhttps://joss.theoj.org/papers/10.21105/joss.03447.pdfradiomics, artificial-intelligence, machine-learning, deep-learning, medical-imaging, chest-CT, python3tag:joss.theoj.org,2005:Paper/25582021-08-04T22:32:12Z2021-08-05T00:02:46ZFURY: advanced scientific visualizationacceptedmaster2021-04-08 17:33:10 UTC642021-08-04 22:32:12 UTC620213384EleftheriosGaryfallidisDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN, USA0000-0002-3991-2774SergeKoudoroDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN, USA0000-0002-9819-9884JavierGuajeDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN, USA0000-0003-3534-3794Marc-AlexCôtéMicrosoft Research, Montreal, Canada0000-0002-5147-7859SohamBiswasDepartment of Computer Science and Engineering, Institute of Engineering and Management, Kolkata, India0000-0002-8449-2107DavidReaganAdvanced Visualization Lab, University Information Technology Services, Indiana University, Bloomington, IN, USA0000-0002-8359-7580NasimAnoushehDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN, USA0000-0002-5931-7753FilipiSilvaNetwork Science Institute, Indiana University, Bloomington, IN, USA0000-0002-9151-6517GeoffreyFoxDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN, USA0000-0003-1017-1391FuryContributorsAnywhere in the Universe10.21105/joss.03384https://doi.org/10.5281/zenodo.5160945PowerShell, Python, GLSLhttps://joss.theoj.org/papers/10.21105/joss.03384.pdfscientific visualization, 3D rendering, Shaders, Vulkantag:joss.theoj.org,2005:Paper/19492020-10-20T17:41:16Z2021-02-15T11:30:07ZrFBP: Replicated Focusing Belief Propagation algorithmacceptedv1.0.02020-08-19 15:06:29 UTC542020-10-20 17:41:16 UTC520202663NicoCurtieDIMESLab, Department of Experimental, Diagnostic and Specialty Medicine of Bologna University0000-0001-5802-1195DanieleDall'OlioDepartment of Physics and Astronomy of Bologna University0000-0003-0196-6870DanielRemondiniDepartment of Physics and Astronomy of Bologna University0000-0003-3185-7456GastoneCastellaniDepartment of Experimental, Diagnostic and Specialty Medicine of Bologna University0000-0003-4892-925XEnricoGiampierieDIMESLab, Department of Experimental, Diagnostic and Specialty Medicine of Bologna University0000-0003-2269-233810.21105/joss.02663https://doi.org/10.5281/zenodo.4106174Python, C++, PowerShellhttps://joss.theoj.org/papers/10.21105/joss.02663.pdfbelief-propagation, deep-neural-networks, sping-glass, statistical-mechanics, learning-algorithm, machine-learning-algorithms, python3, cpp17tag:joss.theoj.org,2005:Paper/14422020-02-18T00:28:09Z2021-02-15T11:31:08ZSpeciesEvolver: A Landlab component to evolve life in simulated landscapesacceptedv2.0.0b32020-01-16 01:24:15 UTC462020-02-18 00:28:09 UTC520202066NathanJ.LyonsTulane University, Department of Earth and Environmental Sciences0000-0001-6965-3374JamesS.AlbertUniversity of Louisiana Lafayette, Department of Biology0000-0001-5477-1749NicoleM.GaspariniTulane University, Department of Earth and Environmental Sciences0000-0002-0803-369710.21105/joss.02066https://doi.org/10.5281/zenodo.3672119Python, PowerShellhttps://joss.theoj.org/papers/10.21105/joss.02066.pdfJupyter Notebook, Landlab, Landscape evolution, Phylogeography, Biodiversity