tag:joss.theoj.org,2005:/papers?page=71Journal of Open Source Software2023-03-08T10:00:40ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/40142023-03-08T10:00:40Z2023-03-09T00:04:46ZPersistable: persistent and stable clusteringaccepted0.3.22022-11-18 23:32:58 UTC832023-03-08 10:00:40 UTC820235022LuisScoccolaNortheastern University0000-0002-4862-722XAlexanderRolleTechnical University of Munich10.21105/joss.05022https://doi.org/10.5281/zenodo.7697173Python, Cythonhttps://joss.theoj.org/papers/10.21105/joss.05022.pdfclustering, unsupervised learning, machine learning, topological data analysistag:joss.theoj.org,2005:Paper/40132023-06-15T15:43:51Z2023-06-16T00:01:33Zgemlog: Data Conversion for the Open-Source Gem Infrasound Loggeracceptedv1.6.62022-11-18 21:06:41 UTC862023-06-15 15:43:51 UTC820235256JacobF.AndersonDepartment of Geosciences, Boise State University, USA0000-0001-6447-6778KevinS.AndersonIndependent Researcher0000-0002-1166-7957TamaraBeschornerOregon Hazards Lab, Earth Science Department, University of Oregon, USA0000-0001-7792-849710.21105/joss.05256https://doi.org/10.5281/zenodo.8015143Jupyter Notebook, Python, Cythonhttps://joss.theoj.org/papers/10.21105/joss.05256.pdfgeophysics, infrasoundtag:joss.theoj.org,2005:Paper/40122023-05-02T09:08:00Z2023-05-03T12:49:02ZDL_Track_US: a python package to analyse muscle ultrasonography imagesacceptedv0.1.12022-11-18 14:09:52 UTC852023-05-02 09:08:00 UTC820235206PaulRitscheDepartment of Sport, Exercise and Health, University of Basel, Switzerland0000-0001-9446-7872OlivierSeynnesDepartment for Physical Performance, Norwegian School of Sport Sciences, Oslo, Norway0000-0002-1289-246XNeilCroninUniversity of Jyvaskyla, Faculty of Sport and Health Sciences, Jyvaskyla, Finland, School of Sport & Exercise, University of Gloucestershire, United Kingdom0000-0002-5332-118810.21105/joss.05206https://doi.org/10.5281/zenodo.7885378Pythonhttps://joss.theoj.org/papers/10.21105/joss.05206.pdfmuscle, ultrasonography, muscle architecture, deep learningtag:joss.theoj.org,2005:Paper/40082023-01-22T13:50:18Z2023-01-23T09:46:10ZFuseMedML: a framework for accelerated discovery in machine learning based biomedicineaccepted0.2.82022-11-16 16:29:49 UTC812023-01-22 13:50:18 UTC820234943AlexGoltsIBM Research - Haifa, IsraelMosheRabohIBM Research - Haifa, IsraelYoelShoshanIBM Research - Haifa, IsraelSagiPolaczekIBM Research - Haifa, IsraelSimonaRabinovici-CohenIBM Research - Haifa, IsraelEfratHexterIBM Research - Haifa, Israel10.21105/joss.04943https://doi.org/10.5281/zenodo.7346694Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.04943.pdfDeep Learning, Machine Learning, Artificial Intelligence, Medical imaging, Clinical data, Computational biomedicinetag:joss.theoj.org,2005:Paper/40072023-10-10T11:12:11Z2023-10-11T00:29:49ZRelativisticDynamics.jl: Relativistic Spin-Orbital Dynamics in Juliaacceptedv0.1.02022-11-15 22:11:42 UTC902023-10-10 11:12:11 UTC820234992TomKimpsonSchool of Physics, University of Melbourne, Parkville, VIC 3010, Australia, Australian Research Council (ARC) Centre of Excellence for Gravitational Wave Discovery (OzGrav)10.21105/joss.04992https://doi.org/10.5281/zenodo.8412240Jupyter Notebook, Juliahttps://joss.theoj.org/papers/10.21105/joss.04992.pdfastronomy, dynamics, gravity, general relativitytag:joss.theoj.org,2005:Paper/40032023-08-25T03:11:09Z2023-08-26T00:01:24ZGNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modelingacceptedv1.0.12022-11-13 22:08:21 UTC882023-08-25 03:11:09 UTC820235025KrishnaKumarAssistant Professor, University of Texas at Austin, Texas, USA0000-0003-2144-5562JosephVantasselAssistant Professor, Virginia Tech, Virginia, USA, Texas Advanced Computing Center, University of Texas at Austin, Texas, USA0000-0002-1601-335410.21105/joss.05025https://doi.org/10.5281/zenodo.8249813Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.05025.pdfmachine learning, simulationtag:joss.theoj.org,2005:Paper/40022023-06-24T03:50:11Z2023-06-25T00:01:08Zpytorch-widedeep: A flexible package for multimodal deep learningacceptedv1.2.12022-11-13 12:56:02 UTC862023-06-24 03:50:11 UTC820235027JavierRodriguezZaurinIndependent Researcher, Spain0000-0002-1082-1107PavolMulinkaCentre Tecnologic de Telecomunicacions de Catalunya (CTTC/CERCA), Catalunya, Spain0000-0002-9394-879410.21105/joss.05027https://doi.org/10.5281/zenodo.7908172JavaScript, Pythonhttps://joss.theoj.org/papers/10.21105/joss.05027.pdfPytorch, Deep learningtag:joss.theoj.org,2005:Paper/40002023-05-18T13:10:37Z2023-05-30T08:52:39ZPyBullet Industrial: A process-aware robot simulationacceptedv1.0.02022-11-11 15:27:01 UTC852023-05-18 13:10:37 UTC820235174JanBaumgärtnerwbk Institute of Production Science0000-0002-7825-3476MalteHansjostenwbk Institute of Production ScienceDominikSchönhofenIndependent ResearcherProf.Dr.-Ing. JürgenFleischerwbk Institute of Production Science0000-0003-0961-767510.21105/joss.05174https://doi.org/10.5281/zenodo.7833292https://joss.theoj.org/papers/10.21105/joss.05174.pdfPython, robotics, simulation, milling, force calculation, 3D printing, production processestag:joss.theoj.org,2005:Paper/39992023-08-14T16:29:11Z2023-08-15T00:01:46ZMODE.behave: A Python Package for Discrete Choice Modelingacceptedv1.02022-11-11 09:55:58 UTC882023-08-14 16:29:11 UTC820235265JulianPaulReulInstitute for Techno-economic Systems Analysis (IEK-3), Forschungszentrum Jülich GmbH, Germany, Chair for Fuel Cells, RWTH Aachen University, Germany0000-0002-2786-0233ThomasGrubeInstitute for Techno-economic Systems Analysis (IEK-3), Forschungszentrum Jülich GmbH, Germany0000-0002-0605-8356JochenLinßenInstitute for Techno-economic Systems Analysis (IEK-3), Forschungszentrum Jülich GmbH, Germany0000-0003-2805-2307DetlefStoltenInstitute for Techno-economic Systems Analysis (IEK-3), Forschungszentrum Jülich GmbH, Germany, Chair for Fuel Cells, RWTH Aachen University, Germany0000-0002-1671-326210.21105/joss.05265https://doi.org/10.5281/zenodo.8225871Pythonhttps://joss.theoj.org/papers/10.21105/joss.05265.pdfdiscrete choice, mixed logittag:joss.theoj.org,2005:Paper/39982023-02-03T08:56:29Z2023-02-04T00:00:40Zpy-sc-fermi: self-consistent Fermi energies and defect concentrations from electronic structure calculationsaccepted0.3.12022-11-10 17:16:22 UTC822023-02-03 08:56:29 UTC820234962AlexanderG.SquiresDepartment of Chemistry, University College London, London, United Kingdom, The Faraday Institution, Didcot, United Kingdom0000-0001-6967-3690DavidO.ScanlonDepartment of Chemistry, University College London, London, United Kingdom, Thomas Young Centre, University College London, London, United Kingdom, The Faraday Institution, Didcot, United Kingdom0000-0001-9174-8601BenjaminJ.MorganDepartment of Chemistry, University of Bath, Bath, United Kingdom, The Faraday Institution, Didcot, United Kingdom0000-0002-3056-823310.21105/joss.04962https://doi.org/10.5281/zenodo.7567782Pythonhttps://joss.theoj.org/papers/10.21105/joss.04962.pdfmaterials modelling, materials physics, materials chemistry, thermodynamics