tag:joss.theoj.org,2005:/papers/tagged/classification?page=1Journal of Open Source Software2024-03-25T09:10:44ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/48492024-03-25T09:10:44Z2024-03-26T00:00:59ZAcanthophis: a comprehensive plant hologenomics pipelineacceptedv1.0.02023-10-15 07:16:35 UTC952024-03-25 09:10:44 UTC920246062KevinD.MurrayMax Planck Institute for Biology Tübingen, 72076 Tübingen, Germany0000-0002-2466-1917JustinO.BorevitzResearch School of Biology, Australian National University, Canberra, Australia0000-0001-8408-3699DetlefWeigelMax Planck Institute for Biology Tübingen, 72076 Tübingen, Germany0000-0002-2114-7963NormanWarthmannResearch School of Biology, Australian National University, Canberra, Australia, FAO/IAEA Joint Centre of Nuclear Techniques in Food and Agriculture, Plant Breeding and Genetics Laboratory, Seibersdorf, Austria0000-0002-1178-840910.21105/joss.06062https://doi.org/10.5281/zenodo.10795245Pythonhttps://joss.theoj.org/papers/10.21105/joss.06062.pdfpython, snakemake, plants, metagenomics, variant calling, population genomics, reference-free classificationtag:joss.theoj.org,2005:Paper/48542024-03-18T12:28:23Z2024-03-19T00:01:17ZImbalance: A comprehensive multi-interface Julia toolbox to address class imbalanceacceptedv0.1.22023-10-17 14:48:00 UTC952024-03-18 12:28:23 UTC920246310EssamWisamCairo University, Egypt0009-0009-1198-7166AnthonyBlaomUniversity of Auckland, New Zealand0000-0001-6689-886X10.21105/joss.06310https://doi.org/10.5281/zenodo.10823254Juliahttps://joss.theoj.org/papers/10.21105/joss.06310.pdfmachine learning, classification, class imbalance, resampling, oversampling, undersampling, juliatag:joss.theoj.org,2005:Paper/46832024-03-09T08:42:01Z2024-03-10T00:01:18ZPerMetrics: A Framework of Performance Metrics for Machine Learning Modelsacceptedv1.4.22023-08-08 05:27:41 UTC952024-03-09 08:42:01 UTC920246143NguyenVan ThieuFaculty of Computer Science, Phenikaa University, Yen Nghia, Ha Dong, Hanoi, 12116, Vietnam.0000-0001-9994-874710.21105/joss.06143https://doi.org/10.5281/zenodo.3951205Pythonhttps://joss.theoj.org/papers/10.21105/joss.06143.pdfmodel assessment tools, performance metrics, classification validation metrics, regression evaluation criteria, clustering criterion indices, machine learning metricstag:joss.theoj.org,2005:Paper/45902023-12-12T17:00:34Z2023-12-13T00:00:42Zpudu: A Python library for agnostic feature selection and explainability of Machine Learning spectroscopic problemsaccepted0.3.02023-07-10 08:59:28 UTC922023-12-12 17:00:34 UTC820235873EnricGrau-LuqueCatalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre 1, 08930 Sant Adrià de Besòs, Spain.0000-0002-8357-5824IgnacioBecerril-RomeroCatalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre 1, 08930 Sant Adrià de Besòs, Spain.0000-0002-7087-6097AlejandroPerez-RodriguezCatalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre 1, 08930 Sant Adrià de Besòs, Spain., Departament d'Enginyeria Electrònica i Biomèdica, IN2UB, Universitat de Barcelona, C/ Martí i Franqués 1, 08028 Barcelona, Spain.0000-0002-3634-1355MaximGucCatalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre 1, 08930 Sant Adrià de Besòs, Spain.0000-0002-2072-9566VictorIzquierdo-RocaCatalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre 1, 08930 Sant Adrià de Besòs, Spain.0000-0002-5502-313310.21105/joss.05873https://doi.org/10.5281/zenodo.10161346Pythonhttps://joss.theoj.org/papers/10.21105/joss.05873.pdfSpectroscopy, Machine Learning, Explainability and intepretability, Classification and regressiontag:joss.theoj.org,2005:Paper/43772023-11-15T11:05:17Z2023-11-19T16:18:02Zlczexplore: an R package to explore Local Climate Zone classificationsaccepted0.0.12023-03-31 12:46:07 UTC912023-11-15 11:05:17 UTC820235445MatthieuGousseffCNRS, Lab-STICC, UMR 6285, Vannes, France0000-0002-7106-2677ErwanBocherCNRS, Lab-STICC, UMR 6285, Vannes, France0000-0002-4936-7079JérémyBernardCNRS, Lab-STICC, UMR 6285, Vannes, France, University of Savoie Mont-Blanc, LOCIE, UMR 5271, France, University of Gothenburg, Department of Earth Sciences, Sweden0000-0001-7374-5722ElisabethLe SauxWiederholdUniversité Bretagne Sud, Lab-STICC, UMR 6285, Vannes, France0000-0002-2079-863310.21105/joss.05445https://doi.org/10.5281/zenodo.10041206Rhttps://joss.theoj.org/papers/10.21105/joss.05445.pdfR SOFTWARE, climate, environment, GIS, spatial analysis, citiestag:joss.theoj.org,2005:Paper/40282023-09-29T15:46:58Z2023-09-30T07:21:05ZTrash AI: A Web GUI for Serverless Computer Vision Analysis of Images of Trashaccepted1.02022-11-28 09:06:07 UTC892023-09-29 15:46:58 UTC820235136WinCowgerMoore Institute for Plastic Pollution Research, USA0000-0001-9226-3104StevenHollingsworthCode for Sacramento and Open Fresno, USADayFeyCode for Sacramento and Open Fresno, USAMaryC.NorrisCode for Sacramento and Open Fresno, USAWalterYuCalifornia Department of Transportation, USAKristiinaKergeLet's Do It Foundation, EstoniaKrisHaamerLet's Do It Foundation, EstoniaGinaDuranteCode for Sacramento and Open Fresno, USABriandaHernandezCode for Sacramento and Open Fresno, USA10.21105/joss.05136https://doi.org/10.5281/zenodo.8384126Python, JavaScripthttps://joss.theoj.org/papers/10.21105/joss.05136.pdftensorflow.js, IndexDB, Plastic Pollution, Trash, Litter, AI, Image Classification, Serverless, vue, vuetify, vite, piniatag:joss.theoj.org,2005:Paper/41832023-09-26T10:25:13Z2023-09-27T00:01:22Zgeocmeans: An R package for spatial fuzzy c-meansaccepted0.3.22023-01-29 15:42:19 UTC892023-09-26 10:25:13 UTC820235259GelbJeremyLaboratoire d'Équité Environnemental, Institut National de la Recherche Scientifique (INRS)0000-0002-7114-271410.21105/joss.05259https://doi.org/10.5281/zenodo.8316593R, C++, Chttps://joss.theoj.org/papers/10.21105/joss.05259.pdfunsupervised classification, cmeans, spatial analysis, fuzzy classificationtag:joss.theoj.org,2005:Paper/45352023-09-22T09:41:00Z2023-09-26T09:02:22Zpactus: A Python framework for trajectory classificationacceptedv0.4.02023-06-08 20:13:58 UTC892023-09-22 09:41:00 UTC820235738G.Viera-LópezDepartment of Computer Science, Gran Sasso Science Institute, L'Aquila, Italy0000-0002-9661-5709J.j.Morgado-VegaDepartment of Artificial Intelligence, University of Havana, Havana, Cuba0000-0001-6067-9172A.ReyesGroup of Complex Systems and Statistical Physics, University of Havana, Havana, Cuba0000-0001-7305-4710EAltshulerGroup of Complex Systems and Statistical Physics, University of Havana, Havana, Cuba0000-0003-4192-5635YudiviánAlmeida-CruzDepartment of Artificial Intelligence, University of Havana, Havana, Cuba0000-0002-2345-1387GiorgioManganiniDepartment of Computer Science, Gran Sasso Science Institute, L'Aquila, Italy0000-0002-5394-409410.21105/joss.05738https://doi.org/10.5281/zenodo.8352324Pythonhttps://joss.theoj.org/papers/10.21105/joss.05738.pdftrajectory classification, mobility data, machine learningtag:joss.theoj.org,2005:Paper/41662023-09-02T03:38:07Z2023-09-03T00:01:31ZClustergram: Visualization and diagnostics for cluster analysisacceptedv0.7.02023-01-16 21:45:48 UTC892023-09-02 03:38:07 UTC820235240MartinFleischmannDepartment of Social Geography and Regional Development, Charles University0000-0003-3319-336610.21105/joss.05240https://doi.org/10.5281/zenodo.8202396Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.05240.pdfclustering, unsupervised classification, data explorationtag:joss.theoj.org,2005:Paper/43792023-08-26T04:14:31Z2023-08-27T00:01:37ZFuzzyClass: A family of Fuzzy and Non-Fuzzy probabilistic-based classifiersacceptedv0.1.42023-03-31 19:23:02 UTC882023-08-26 04:14:31 UTC820235613JodavidA.FerreiraDepartment of Statistics, Federal University of Paraiba, João Pessoa, Brazil0000-0002-2131-6464RoneiM.MoraesDepartment of Statistics, Federal University of Paraiba, João Pessoa, Brazil0000-0001-8436-895010.21105/joss.05613https://doi.org/10.5281/zenodo.8280775Rhttps://joss.theoj.org/papers/10.21105/joss.05613.pdffuzzy, naive bayes, classifiers