tag:joss.theoj.org,2005:/papers/tagged/robustnessJournal of Open Source Software2024-03-09T11:15:15ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/46362024-03-09T11:15:15Z2024-03-10T00:01:20Zkonfound: An R Sensitivity Analysis Package to Quantify the Robustness of Causal Inferencesaccepted0.4.02023-07-31 19:56:25 UTC952024-03-09 11:15:15 UTC920245779SarahNarvaizUniversity of Tennessee, Knoxville, Knoxville, TN, USAQinyunLinUniversity of Gothenburg, Gothenburg, SEJoshuaM.RosenbergUniversity of Tennessee, Knoxville, Knoxville, TN, USAKennethA.FrankMichigan State University, East Lansing, MI, USASpiroJ.MaroulisArizona State University, Tempe, AZ, USAWeiWangUniversity of Tennessee, Knoxville, Knoxville, TN, USARanXuUniversity of Connecticut, Hartford, CT, USA10.21105/joss.05779https://doi.org/10.5281/zenodo.10708094Rhttps://joss.theoj.org/papers/10.21105/joss.05779.pdfSensitivity analysis, Causal inferencetag:joss.theoj.org,2005:Paper/45382024-02-29T10:31:27Z2024-03-01T17:39:01ZPyBADS: Fast and robust black-box optimization in Pythonacceptedv1.0.02023-06-11 13:10:30 UTC942024-02-29 10:31:27 UTC920245694GurjeetSangraSinghUniversity of Geneva, University of Applied Sciences and Arts Western Switzerland (HES-SO)0009-0008-2340-5867LuigiAcerbiUniversity of Helsinki0000-0001-7471-733610.21105/joss.05694https://doi.org/10.5281/zenodo.10696782Pythonhttps://joss.theoj.org/papers/10.21105/joss.05694.pdfBayesian optimization, Black-box optimization, Optimization, Machine learning, Gaussian Processestag:joss.theoj.org,2005:Paper/38572023-11-20T17:37:21Z2023-11-25T01:16:15ZSoftware Design and User Interface of ESPnet-SE++: Speech Enhancement for Robust Speech Processingacceptedv.2022072022-09-07 13:11:51 UTC912023-11-20 17:37:21 UTC820235403Yen-JuLuJohns Hopkins University, USA0000-0001-8400-4188XuankaiChangCarnegie Mellon University, USA0000-0002-5221-5412ChendaLiShanghai Jiao Tong University, Shanghai0000-0003-0299-9914WangyouZhangShanghai Jiao Tong University, Shanghai0000-0003-4500-3515SamueleCornellCarnegie Mellon University, USA, Universita\` Politecnica delle Marche, Italy0000-0002-5358-1844ZhaohengNiMeta AI, USAYoshikiMasuyamaCarnegie Mellon University, USA, Tokyo Metropolitan University, JapanBrianYanCarnegie Mellon University, USARobinScheiblerLINE Corporation, Japan0000-0002-5205-8365Zhong-QiuWangCarnegie Mellon University, USA0000-0002-4204-9430YuTsaoAcademia Sinica, Taipei0000-0001-6956-0418YanminQianShanghai Jiao Tong University, Shanghai0000-0002-0314-3790ShinjiWatanabeCarnegie Mellon University, USA0000-0002-5970-863110.21105/joss.05403https://doi.org/10.5281/zenodo.10048174Python, Perl, MATLABhttps://joss.theoj.org/papers/10.21105/joss.05403.pdfESPnet, speech processing, speech enhancementtag:joss.theoj.org,2005:Paper/39762023-06-01T11:02:40Z2023-06-02T00:01:57ZDTCC Builder: A mesh generator for automatic, efficient, and robust mesh generation for large-scale city modeling and simulationaccepted1.0.02022-10-24 12:48:46 UTC862023-06-01 11:02:40 UTC820234928AndersLoggChalmers University of Technology, Digital Twin Cities Centre0000-0002-1547-4773VasilisNaserentinChalmers University of Technology, Aristotle University of Thessaloniki, Digital Twin Cities Centre0000-0002-3485-9329DagWästbergChalmers Industriteknik, Digital Twin Cities Centre0000-0002-8630-826210.21105/joss.04928https://doi.org/10.5281/zenodo.7988751Python, C++https://joss.theoj.org/papers/10.21105/joss.04928.pdfmesh generation, point cloud, cadastral map, digital twin, city modeling, city simulationtag:joss.theoj.org,2005:Paper/39582023-02-15T11:25:26Z2023-02-16T00:00:46Zrobnptests -- An R package for robust two-sample location and dispersion testsaccepted1.0.02022-10-14 12:42:17 UTC822023-02-15 11:25:26 UTC820234947SermadAbbasTU Dortmund University, Faculty of Statistics, 44221 Dortmund, Germany0000-0001-9162-9792BarbaraBruneTechnical University of Vienna, Institute of Statistics and Mathematical Methods in Economics, 1040 Vienna, Austria0000-0002-3154-8445RolandFriedTU Dortmund University, Faculty of Statistics, 44221 Dortmund, Germany0000-0002-9830-971310.21105/joss.04947https://doi.org/10.5281/zenodo.7641636Rhttps://joss.theoj.org/papers/10.21105/joss.04947.pdfrobust statistics, nonparametric statisticstag:joss.theoj.org,2005:Paper/38312023-02-13T13:30:07Z2023-02-14T00:00:51ZenetLTS: Robust and Sparse Methods for High Dimensional Linear, Binary, and Multinomial Regressionaccepted1.1.02022-08-23 09:31:03 UTC822023-02-13 13:30:07 UTC820234773FatmaSevincKurnazDepartment of Statistics, Yildiz Technical University, Istanbul, Turkey0000-0002-5958-7366PeterFilzmoserInstitute of Statistics and Mathematical Methods in Economics, TU Wien, Vienna, Austria0000-0002-8014-468210.21105/joss.04773https://doi.org/10.5281/zenodo.7598948Rhttps://joss.theoj.org/papers/10.21105/joss.04773.pdfRobust regression, Elastic net, outlier detectiontag:joss.theoj.org,2005:Paper/39182022-12-26T14:40:55Z2023-01-03T02:48:24Zrigr: Regression, Inference, and General Data Analysis Tools in Racceptedv1.0.42022-09-22 23:13:55 UTC802022-12-26 14:40:55 UTC720224847YiqunT.ChenDepartment of Biostatistics, University of Washington, Seattle, USA, Data Science Institute & Department of Biomedical Data Science, Stanford University, Stanford, USA0000-0002-4100-1507BrianD.WilliamsonKaiser Permanente Washington Health Research Institute, Seattle, USA0000-0002-7024-548XTaylorOkonekDepartment of Biostatistics, University of Washington, Seattle, USACharlesJ.WolockDepartment of Biostatistics, University of Washington, Seattle, USAAndrewJ.SpiekerVanderbilt University Medical Center, Nashville, USATravisY. HeeWaiVA Puget Sound Health Care System, Seattle, USAJamesP.HughesDepartment of Biostatistics, University of Washington, Seattle, USAScottS.EmersonDepartment of Biostatistics, University of Washington, Seattle, USAAmyD.WillisDepartment of Biostatistics, University of Washington, Seattle, USA0000-0002-2802-431710.21105/joss.04847https://doi.org/10.5281/zenodo.7456326Rhttps://joss.theoj.org/papers/10.21105/joss.04847.pdfinference, regression analysis, data analysis, robust standard errorstag:joss.theoj.org,2005:Paper/33202022-07-05T13:03:35Z2022-07-06T00:01:01ZRHEIA: Robust design optimization of renewable Hydrogen and dErIved energy cArrier systemsacceptedv1.0.02022-02-03 12:59:31 UTC752022-07-05 13:03:35 UTC720224370DiederikCoppittersInstitute of Mechanics, Materials and Civil Engineering, Université catholique de Louvain, Fluid and Thermal Dynamics, Vrije Universiteit Brussel0000-0001-9480-2781PanagiotisTsirikoglouLimmat Scientific AGWardDe PaepeThermal Engineering and Combustion Unit, University of Mons0000-0001-5008-2946KonstantinosKyprianidisDepartment of Automation in Energy and Environment, School of Business, Society and Engineering, Malardalen University0000-0002-8466-356XAnestisKalfasDepartment of Mechanical Engineering, Aristotle University of Thessaloniki0000-0002-0025-9392FrancescoContinoInstitute of Mechanics, Materials and Civil Engineering, Université catholique de Louvain0000-0002-8341-435010.21105/joss.04370https://doi.org/10.5281/zenodo.6782705Pythonhttps://joss.theoj.org/papers/10.21105/joss.04370.pdfhydrogen-based systems, robust design optimization, uncertainty quantificationtag:joss.theoj.org,2005:Paper/34442022-06-25T17:36:18Z2022-06-26T00:01:16ZpyABC: Efficient and robust easy-to-use approximate Bayesian computationaccepted0.12.22022-03-26 22:08:05 UTC742022-06-25 17:36:18 UTC720224304YannikSchälteFaculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany, Institute of Computational Biology, Helmholtz Center Munich, Neuherberg, Germany, Center for Mathematics, Technical University Munich, Garching, Germany0000-0003-1293-820XEmmanuelKlingerInstitute of Computational Biology, Helmholtz Center Munich, Neuherberg, Germany, Center for Mathematics, Technical University Munich, Garching, Germany, Department of Connectomics, Max Planck Institute for Brain Research, Frankfurt, GermanyEmadAlamoudiFaculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany0000-0002-9129-4635JanHasenauerFaculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany, Institute of Computational Biology, Helmholtz Center Munich, Neuherberg, Germany, Center for Mathematics, Technical University Munich, Garching, Germany0000-0002-4935-331210.21105/joss.04304https://doi.org/10.5281/zenodo.6677826Python, Makohttps://joss.theoj.org/papers/10.21105/joss.04304.pdfapproximate Bayesian computation, ABC, likelihood-free inference, high-performance computing, parallel, sequential Monte Carlotag:joss.theoj.org,2005:Paper/31152022-02-16T16:27:37Z2022-02-17T00:01:02ZPICOS: A Python interface to conic optimization solversacceptedv2.32021-10-18 14:29:45 UTC702022-02-16 16:27:37 UTC720223915GuillaumeSagnolTechnische Universität Berlin0000-0001-6910-8907MaximilianStahlbergTechnische Universität Berlin0000-0002-0190-269310.21105/joss.03915https://doi.org/10.5281/zenodo.6053359Pythonhttps://joss.theoj.org/papers/10.21105/joss.03915.pdfconvex optimization, robust optimization, quantum information