tag:joss.theoj.org,2005:/papers/reviewed_by/@pps121Journal of Open Source Software2021-10-19T10:54:39ZJournal of Open Source Softwarehttps://joss.theoj.orgtag: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, python3