{"_id":"EBooRdzgvjmgoXgrw","bibbaseid":"idowu-strber-berger-emmmaunifiedmetamodelfortrackingmachinelearningexperiments-2022","author_short":["Idowu, S.","Strüber, D.","Berger, T."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","title":"EMMM: A Unified Meta-Model for Tracking Machine Learning Experiments","author":[{"propositions":[],"lastnames":["Idowu"],"firstnames":["Samuel"],"suffixes":[]},{"propositions":[],"lastnames":["Strüber"],"firstnames":["Daniel"],"suffixes":[]},{"propositions":[],"lastnames":["Berger"],"firstnames":["Thorsten"],"suffixes":[]}],"booktitle":"SEAA'22: Euromicro Conference on Software Engineering and Advanced Applications","pages":"48–55","year":"2022","url_paper":"https://www.danielstrueber.de/publications/ISB22-SEAA.pdf","keywords":"AI Engineering, Model-Driven Engineering","bibtex":"@inproceedings{idowu2022emmm,\r\n title={EMMM: A Unified Meta-Model for Tracking Machine Learning Experiments},\r\n author={Idowu, Samuel and Str{\\\"u}ber, Daniel and Berger, Thorsten},\r\n booktitle={SEAA'22: Euromicro Conference on Software Engineering and Advanced Applications},\r\n pages={48--55},\r\n year={2022},\r\n url_Paper = {https://www.danielstrueber.de/publications/ISB22-SEAA.pdf},\r\n keywords = {AI Engineering, Model-Driven Engineering}\r\n}\r\n\r\n\r\n\r\n","author_short":["Idowu, S.","Strüber, D.","Berger, T."],"key":"idowu2022emmm","id":"idowu2022emmm","bibbaseid":"idowu-strber-berger-emmmaunifiedmetamodelfortrackingmachinelearningexperiments-2022","role":"author","urls":{" paper":"https://www.danielstrueber.de/publications/ISB22-SEAA.pdf"},"keyword":["AI Engineering","Model-Driven Engineering"],"metadata":{"authorlinks":{}},"downloads":5},"bibtype":"inproceedings","biburl":"danielstrueber.de/pubs.bib","dataSources":["C25PTnmiJjNNeXeDN","LKmzHrHyv7kFJ7AXB"],"keywords":["ai engineering","model-driven engineering"],"search_terms":["emmm","unified","meta","model","tracking","machine","learning","experiments","idowu","strüber","berger"],"title":"EMMM: A Unified Meta-Model for Tracking Machine Learning Experiments","year":2022,"downloads":5}