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schelterlabs/arguseyes.

, , , , , и . (января 2022)

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Walter Grafberger

Stefan Schwärzler

Graphische Modelle im natürlichsprachlichen Mensch-Maschine-Dialog. TU München, (2010)

Stefan Weiß

Deformation quantization of principal fibre bundles and classical gauge theories. Uni Freiburg, (2009)

Stefan Kutter

Molekularer Aufbau und Translokationsmechanismus des Cag-Typ-IV-Sekretionssystems von Helicobacter pylori. Uni München, (2009)

Stefan Padberg

Der Einsatz des Internets im Geographieunterricht: Meinungsbilder und Unterrichtsbeobachtungen. Uni Köln, (2009)
 

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Provenance Tracking for End-to-End Machine Learning Pipelines., , и . WWW (Companion Volume), стр. 1512. ACM, (2023)Differential Data Quality Verification on Partitioned Data., , , , , , , и . ICDE, стр. 1940-1945. IEEE, (2019)Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines., , и . CIDR, www.cidrdb.org, (2021)Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines., , и . Proc. ACM Manag. Data, 1 (2): 128:1-128:26 (2023)Red Onions, Soft Cheese and Data: From Food Safety to Data Traceability for Responsible AI., , , и . IEEE Data Eng. Bull., 47 (1): 63-81 (2024)Towards Interactively Improving ML Data Preparation Code via "Shadow Pipelines"., , и . DEEM@SIGMOD, стр. 7-11. ACM, (2024)Towards data-centric what-if analysis for native machine learning pipelines., , и . DEEM@SIGMOD, стр. 3:1-3:5. ACM, (2022)Proactively Screening Machine Learning Pipelines with ARGUSEYES., , , , и . SIGMOD Conference Companion, стр. 91-94. ACM, (2023)Instrumentation and Analysis of Native ML Pipelines via Logical Query Plans.. CoRR, (2024)Messy Code Makes Managing ML Pipelines Difficult? Just Let LLMs Rewrite the Code!, и . CoRR, (2024)