tag:joss.theoj.org,2005:/papers/reviewed_by/@sara-02Journal of Open Source Software2024-02-29T19:05:35ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/41602024-02-29T19:05:35Z2024-03-01T08:13:27ZDAPPER: Data Assimilation with Python: a Package for Experimental Researchacceptedv1.4.02023-01-10 18:54:31 UTC942024-02-29 19:05:35 UTC920245150PatrickN.RaanesNORCE, Bergen, Norway, NERSC, Bergen, Norway0000-0001-5073-6786YumengChenDepartment of Meteorology and NCEO, University of Reading, Reading, UK0000-0002-2319-6937ColinGrudzienCW3E - Scripps Institution of Oceanography, University of California, San Diego, USA, Department of Mathematics and Statistics, University of Nevada, Reno, USA0000-0002-3084-317810.21105/joss.05150https://doi.org/10.5281/zenodo.10710355Python, Fortranhttps://joss.theoj.org/papers/10.21105/joss.05150.pdfdata-assimilation, state-estimation, bayesian-filter, kalman-filtering, enkf, particle-filter, chaos, bayesian-methodstag:joss.theoj.org,2005:Paper/34332022-12-15T20:02:32Z2022-12-16T00:01:07ZDIANNA: Deep Insight And Neural Network Analysisacceptedv.0.4.02022-03-22 16:05:29 UTC802022-12-15 20:02:32 UTC720224493ElenaRanguelovaNetherlands eScience Center, Amsterdam, the Netherlands0000-0002-9834-1756ChristiaanMeijerNetherlands eScience Center, Amsterdam, the Netherlands0000-0002-5529-5761LeonOostrumNetherlands eScience Center, Amsterdam, the Netherlands0000-0001-8724-8372YangLiuNetherlands eScience Center, Amsterdam, the Netherlands0000-0002-1966-8460PatrickBosNetherlands eScience Center, Amsterdam, the Netherlands0000-0002-6033-960XGiuliaCrocioniNetherlands eScience Center, Amsterdam, the Netherlands0000-0002-0823-0121MatthieuLaneuvilleSURF, Amsterdam, the Netherlands0000-0001-6022-0046BryanCardenasGuevaraSURF, Amsterdam, the Netherlands0000-0001-9793-910XRenaBakhshiNetherlands eScience Center, Amsterdam, the Netherlands0000-0002-2932-3028DamianPodareanuSURF, Amsterdam, the Netherlands0000-0002-4207-872510.21105/joss.04493https://doi.org/10.5281/zenodo.7387004Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.04493.pdfexplainable AI, Deep Neural Networks, ONNX, benchmark datasetstag:joss.theoj.org,2005:Paper/39372022-12-13T13:38:32Z2022-12-14T00:01:24Zcosasi: Graph Diffusion Source Inference in Pythonaccepted0.0.12022-10-03 18:27:51 UTC802022-12-13 13:38:32 UTC720224894LucasH.McCabeDigital and Analytic Solutions, Logistics Management Institute, Department of Mathematics, The George Washington University0000-0002-7383-282310.21105/joss.04894https://doi.org/10.5281/zenodo.7430558Pythonhttps://joss.theoj.org/papers/10.21105/joss.04894.pdfnetwork science, graph algorithms, network analysis, epidemics, simulation, communication, information theorytag:joss.theoj.org,2005:Paper/36302022-11-25T07:51:09Z2022-12-01T15:37:03ZTLViz: Visualising and analysing tensor decomposition models with Pythonacceptedv0.1.12022-05-26 07:53:29 UTC792022-11-25 07:51:09 UTC720224754MarieRoaldSimula Metropolitan Center for Digital Engineering, Norway, Oslo Metropolitan University, Norway0000-0002-9571-8829YngveMardalMoeIndependent Researcher, Norway0000-0002-5159-901210.21105/joss.04754https://doi.org/10.5281/zenodo.7274925Pythonhttps://joss.theoj.org/papers/10.21105/joss.04754.pdftensor decompositions, data mining, data visualisation, TensorLytag:joss.theoj.org,2005:Paper/26162021-12-09T00:38:39Z2021-12-10T00:02:10ZConTEXT Explorer: a web-based text analysis tool for exploring and visualizing concepts across timeacceptedv1.02021-05-03 00:53:56 UTC682021-12-09 00:38:39 UTC620213347ZiyingYangUniversity of Melbourne0000-0001-7705-3280GosiaMikolajczakUniversity of Melbourne0000-0002-7386-4155AndrewTurpinUniversity of Melbourne10.21105/joss.03347https://doi.org/10.5281/zenodo.5762642Pythonhttps://joss.theoj.org/papers/10.21105/joss.03347.pdfDash, Data Analysis, Data Visulizationtag:joss.theoj.org,2005:Paper/26832021-10-12T08:09:27Z2021-10-13T00:01:45ZNominally: A Name Parser for Record Linkageacceptedv1.1.02021-05-19 23:05:56 UTC662021-10-12 08:09:27 UTC620213440MatthewVanEseltineInstitute for Social Research, University of Michigan0000-0002-9520-136010.21105/joss.03440https://doi.org/10.5281/zenodo.5562628Pythonhttps://joss.theoj.org/papers/10.21105/joss.03440.pdfdata science, record linkage, entity resolution, name parsingtag:joss.theoj.org,2005:Paper/22412021-05-23T20:09:26Z2021-05-24T15:34:00ZNiaAML: AutoML framework based on stochastic population-based nature-inspired algorithmsaccepted1.1.02020-12-16 20:01:45 UTC612021-05-23 20:09:26 UTC620212949LukaPečnikUniversity of Maribor, Faculty of Electrical Engineering and Computer Science0000-0002-3897-9774IztokFisterUniversity of Maribor, Faculty of Electrical Engineering and Computer Science0000-0002-6418-127210.21105/joss.02949https://doi.org/10.5281/zenodo.4782445Pythonhttps://joss.theoj.org/papers/10.21105/joss.02949.pdfAutoML, classification, hyperparameter optimization, nature-inspired algorithmstag:joss.theoj.org,2005:Paper/16762020-10-26T17:52:10Z2021-02-15T11:30:40ZTTLocVis: A Twitter Topic Location Visualization Packageacceptedv0.1.02020-05-22 20:11:51 UTC542020-10-26 17:52:10 UTC520202507GillianKantCentre for Statistics, Georg-August-Universität Göttingen, Germany0000-0003-2346-2841ChristophWeisserCentre for Statistics, Georg-August-Universität Göttingen, Germany, Campus-Institut Data Science, Göttingen, Germany0000-0003-0616-1027BenjaminSäfkenCentre for Statistics, Georg-August-Universität Göttingen, Germany, Campus-Institut Data Science, Göttingen, Germany0000-0003-4702-333310.21105/joss.02507https://doi.org/10.5281/zenodo.4133399Pythonhttps://joss.theoj.org/papers/10.21105/joss.02507.pdfTwitter, Topic Modelling, LDA, Latent Dirichlet Allocation, Visualization, Spatial Modelling, Geocoded Text, Hashtag-Pooling Algorithm, Natural Language Processing, Machine Learningtag:joss.theoj.org,2005:Paper/17452020-10-15T14:29:10Z2021-02-15T11:30:29Ztextnets: A Python package for text analysis with networksacceptedv.0.4.22020-06-16 14:57:04 UTC542020-10-15 14:29:10 UTC520202594JohnD.BoyAssistant Professor, Faculty of Social Sciences, Leiden University0000-0003-2118-470210.21105/joss.02594https://doi.org/10.5281/zenodo.4028610https://joss.theoj.org/papers/10.21105/joss.02594.pdfPython, sociology, text analysis, network analysis, visualizationtag:joss.theoj.org,2005:Paper/15372020-08-05T15:57:47Z2021-02-15T11:30:55ZSurprise: A Python library for recommender systemsacceptedv1.1.02020-03-02 13:50:42 UTC522020-08-05 15:57:47 UTC520202174NicolasHugColumbia University, Data Science Institute, New York City, New York, United States of America0000-0003-1360-704X10.21105/joss.02174https://doi.org/10.5281/zenodo.3959188Pythonhttps://joss.theoj.org/papers/10.21105/joss.02174.pdfRecommender system