tag:joss.theoj.org,2005:/papers/tagged/Artificial%20IntelligenceJournal of Open Source Software2024-01-23T12:00:48ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/44452024-01-23T12:00:48Z2024-01-24T00:01:21ZFoundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Scienceacceptedv0.5.12023-04-21 18:46:52 UTC932024-01-23 12:00:48 UTC920245467KjSchmidtGlobus, University of Chicago, Chicago, IL, United States of America, Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America0000-0002-9373-0058AristanaScourtasGlobus, University of Chicago, Chicago, IL, United States of America, Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America0000-0002-3917-605XLoganWardData Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America0000-0002-1323-5939SteveWangenData Science Institute, University of Wisconsin-Madison, Madison, WI, United States of AmericaMarcusSchwartingDepartment of Computer Science, University of Chicago, Chicago, IL, United States of America0000-0001-6817-7265IsaacDarlingDepartment of Computer Science, University of Chicago, Chicago, IL, United States of AmericaEthanTrueloveDepartment of Computer Science, University of Chicago, Chicago, IL, United States of AmericaAaditAmbadkarGlobus, University of Chicago, Chicago, IL, United States of AmericaRibhavBoseGlobus, University of Chicago, Chicago, IL, United States of AmericaZoaKatokGlobus, University of Chicago, Chicago, IL, United States of AmericaJingruiWeiDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of AmericaXiangguoLiDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of AmericaRyanJacobsDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of America0000-0003-2229-6730LaneSchultzDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of AmericaDoyeonKimDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of AmericaMichaelFerrisDepartment of Computer Science, University of Wisconsin-Madison, Madison, WI, United States of America0000-0002-7652-6776PaulM.VoylesDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of America0000-0001-9438-4284DaneMorganDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of America0000-0002-4911-0046IanFosterGlobus, University of Chicago, Chicago, IL, United States of America, Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America, Department of Computer Science, University of Chicago, Chicago, IL, United States of America0000-0003-2129-5269BenBlaiszikGlobus, University of Chicago, Chicago, IL, United States of America, Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America0000-0002-5326-490210.21105/joss.05467https://doi.org/10.5281/zenodo.10494644Pythonhttps://joss.theoj.org/papers/10.21105/joss.05467.pdfMachine Learning, Artificial Intelligence, Materials Science, Datatag:joss.theoj.org,2005:Paper/44802023-08-04T17:17:18Z2023-08-05T00:01:30ZEcoAssist: A no-code platform to train and deploy custom YOLOv5 object detection modelsacceptedv4.02023-05-11 09:57:40 UTC882023-08-04 17:17:18 UTC820235581Petervan LunterenIndependent Researcher, The Netherlands0000-0001-5488-422510.21105/joss.05581https://doi.org/10.5281/zenodo.7223363Pythonhttps://joss.theoj.org/papers/10.21105/joss.05581.pdfartificial intelligence, machine learning, deep learning, object detection, yolov5, annotation tool, cameratrapstag: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/32872022-05-04T21:34:55Z2022-05-05T00:00:49Zpymdp: A Python library for active inference in discrete state spacesacceptedv0.0.42022-01-14 18:37:52 UTC732022-05-04 21:34:55 UTC720224098ConorHeinsDepartment of Collective Behaviour, Max Planck Institute of Animal Behavior, 78457 Konstanz, Germany, Centre for the Advanced Study of Collective Behaviour, 78457 Konstanz, Germany, Department of Biology, University of Konstanz, 78457 Konstanz, Germany, VERSES Research Lab, Los Angeles, California, USABerenMillidgeVERSES Research Lab, Los Angeles, California, USA, MRC Brain Networks Dynamics Unit, University of Oxford, Oxford, UKDaphneDemekasDepartment of Computing, Imperial College London, London, UKBrennanKleinVERSES Research Lab, Los Angeles, California, USA, Network Science Institute, Northeastern University, Boston, MA, USA, Laboratory for the Modeling of Biological and Socio-Technical Systems, Northeastern University, Boston, USA0000-0001-8326-5044KarlFristonWellcome Centre for Human Neuroimaging, Queen Square Institute of Neurology, University College London, London WC1N 3AR, UKIainD.CouzinDepartment of Collective Behaviour, Max Planck Institute of Animal Behavior, 78457 Konstanz, Germany, Centre for the Advanced Study of Collective Behaviour, 78457 Konstanz, Germany, Department of Biology, University of Konstanz, 78457 Konstanz, GermanyAlexanderTschantzVERSES Research Lab, Los Angeles, California, USA, Sussex AI Group, Department of Informatics, University of Sussex, Brighton, UK, Sackler Centre for Consciousness Science, University of Sussex, Brighton, UK10.21105/joss.04098https://doi.org/10.5281/zenodo.6484849Python, MATLABhttps://joss.theoj.org/papers/10.21105/joss.04098.pdfactive inference, Markov Decision Process, POMDP, MDP, Reinforcement Learning, Artificial Intelligence, Bayesian inference, free energy principletag:joss.theoj.org,2005:Paper/25932021-12-10T01:52:14Z2021-12-11T00:01:50ZOmnizart: A General Toolbox for Automatic Music Transcriptionacceptedv0.3.22021-04-24 02:10:31 UTC682021-12-10 01:52:14 UTC620213391Yu-TeWuMusic and Culture Technology Lab, Institute of Information Science, Academia Sinica, Taipei, TaiwanYin-JyunLuoMusic and Culture Technology Lab, Institute of Information Science, Academia Sinica, Taipei, TaiwanTsung-PingChenMusic and Culture Technology Lab, Institute of Information Science, Academia Sinica, Taipei, TaiwanI-ChiehWeiMusic and Culture Technology Lab, Institute of Information Science, Academia Sinica, Taipei, TaiwanJui-YangHsuMusic and Culture Technology Lab, Institute of Information Science, Academia Sinica, Taipei, TaiwanYi-ChinChuangMusic and Culture Technology Lab, Institute of Information Science, Academia Sinica, Taipei, TaiwanLiSuMusic and Culture Technology Lab, Institute of Information Science, Academia Sinica, Taipei, Taiwan10.21105/joss.03391https://doi.org/10.5281/zenodo.5769022Pythonhttps://joss.theoj.org/papers/10.21105/joss.03391.pdfautomatic music transcription, music information retrieval, audio signal processing, artificial intelligencetag: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, python3tag:joss.theoj.org,2005:Paper/12112020-05-19T10:48:52Z2021-02-15T11:31:38ZFAT Forensics: A Python Toolbox for Implementing and
Deploying Fairness, Accountability and Transparency
Algorithms in Predictive Systemsaccepted0.0.12019-09-12 18:40:55 UTC492020-05-19 10:48:52 UTC520201904KacperSokolDepartment of Computer Science, University of Bristol0000-0002-9869-5896AlexanderHepburnDepartment of Engineering Mathematics, University of BristolRafaelPoyiadziDepartment of Engineering Mathematics, University of BristolMatthewCliffordDepartment of Engineering Mathematics, University of BristolRaulSantos-RodriguezDepartment of Engineering Mathematics, University of Bristol0000-0001-9576-3905PeterFlachDepartment of Computer Science, University of Bristol0000-0001-6857-581010.21105/joss.01904https://doi.org/10.5281/zenodo.3833199Pythonhttps://joss.theoj.org/papers/10.21105/joss.01904.pdfFairness, Accountability, Transparency, Artificial Intelligence, Machine Learning, Software, Python Toolboxtag:joss.theoj.org,2005:Paper/11272020-02-06T16:49:11Z2021-02-15T11:31:54ZASCENDS: Advanced data SCiENce toolkit for Non-Data Scientistsacceptedv0.4.02019-07-24 15:01:28 UTC462020-02-06 16:49:11 UTC520201656SangkeunLeeOak Ridge National Laboratory0000-0002-1317-5112JianPengOak Ridge National Laboratory0000-0002-9763-4741AndrewWilliamsCornell UniversityDongwonShinOak Ridge National Laboratory0000-0002-5797-342310.21105/joss.01656https://doi.org/10.5281/zenodo.3635782Python, Jupyter Notebook, JavaScripthttps://joss.theoj.org/papers/10.21105/joss.01656.pdfmachine learning, artificial intelligence, neural networktag:joss.theoj.org,2005:Paper/12782019-11-05T18:24:44Z2021-02-15T11:31:32ZmodelStudio: Interactive Studio with Explanations for ML Predictive Modelsacceptedv0.1.82019-10-05 14:30:57 UTC432019-11-05 18:24:44 UTC420191798HubertBanieckiFaculty of Mathematics and Information Science, Warsaw University of Technology0000-0001-6661-5364PrzemyslawBiecekFaculty of Mathematics and Information Science, Warsaw University of Technology0000-0001-8423-182310.21105/joss.01798https://doi.org/10.5281/zenodo.3527770R, JavaScripthttps://joss.theoj.org/papers/10.21105/joss.01798.pdfautomated data analysis, model visualization, explainable artificial intelligence, predictive modeling, interpretable machine learningtag:joss.theoj.org,2005:Paper/9932019-06-27T06:23:27Z2021-02-15T11:32:12ZmodelDown: automated website generator with interpretable documentation for predictive machine learning modelsaccepted1.0.02019-05-08 20:51:38 UTC382019-06-27 06:23:27 UTC420191444KamilRomaszkoFaculty of Mathematics and Information Science, Warsaw University of TechnologyMagdaTatarynowiczFaculty of Mathematics and Information Science, Warsaw University of TechnologyMateuszUrbańskiFaculty of Mathematics and Information Science, Warsaw University of TechnologyPrzemysławBiecekFaculty of Mathematics and Information Science, Warsaw University of Technology0000-0001-8423-182310.21105/joss.01444https://doi.org/10.5281/zenodo.3247303Rhttps://joss.theoj.org/papers/10.21105/joss.01444.pdfexplainable artificial intelligence, interpretable machine learning, predictive models, model visualization, automated data analysis