Stefan Grafberger

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Data Preparation

Machine Learning

Skyline Queries

Top Venues

SIGMOD Conference

Publications

Stefan Grafberger, Zeyu Zhang, Sebastian Schelter, Ce Zhang
Red Onions, Soft Cheese and Data: From Food Safety to Data Traceability for Responsible AI. IEEE Data Eng. Bull. 47 (1) (2024)
Stefan Grafberger
Instrumentation and Analysis of Native ML Pipelines via Logical Query Plans. CoRR (2024)
Stefan Grafberger, Paul Groth, Sebastian Schelter
Towards Interactively Improving ML Data Preparation Code via "Shadow Pipelines". DEEM@SIGMOD (2024)
Stefan Grafberger, Paul Groth, Sebastian Schelter
Towards Interactively Improving ML Data Preparation Code via "Shadow Pipelines". CoRR (2024)
Sebastian Schelter, Stefan Grafberger, Shubha Guha, Bojan Karlas, Ce Zhang
Proactively Screening Machine Learning Pipelines with ARGUSEYES. SIGMOD Conference Companion (2023)
Ilhan Aslan, Dominik Neu, Daniela Neupert, Stefan Grafberger, Nico Weise, Pascal Pfeil, Maximilian Kuschewski
How to Compliment a Human - Designing Affective and Well-being Promoting Conversational Things. CoRR (2023)
Stefan Grafberger, Shubha Guha, Paul Groth, Sebastian Schelter
MLWHATIF: What If You Could Stop Re-Implementing Your Machine Learning Pipeline Analyses Over and Over? Proc. VLDB Endow. 16 (12) (2023)
Xiaozhong Lyu, Stefan Grafberger, Samantha Biegel, Shaopeng Wei, Meng Cao, Sebastian Schelter, Ce Zhang
Improving Retrieval-Augmented Large Language Models via Data Importance Learning. CoRR (2023)
Stefan Grafberger, Paul Groth, Sebastian Schelter
Provenance Tracking for End-to-End Machine Learning Pipelines. WWW (Companion Volume) (2023)
Stefan Grafberger, Paul Groth, Sebastian Schelter
Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines. Proc. ACM Manag. Data 1 (2) (2023)
Sebastian Schelter, Stefan Grafberger, Shubha Guha, Olivier Sprangers, Bojan Karlas, Ce Zhang
Screening Native Machine Learning Pipelines with ArgusEyes. CIDR (2022)
Stefan Grafberger, Paul Groth, Sebastian Schelter
Towards data-centric what-if analysis for native machine learning pipelines. DEEM@SIGMOD (2022)
Stefan Grafberger, Paul Groth, Julia Stoyanovich, Sebastian Schelter
Data distribution debugging in machine learning pipelines. VLDB J. 31 (5) (2022)
Sebastian Schelter, Stefan Grafberger, Ted Dunning
HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning. SIGMOD Conference (2021)
Stefan Grafberger, Julia Stoyanovich, Sebastian Schelter
Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines. CIDR (2021)
Stefan Grafberger, Shubha Guha, Julia Stoyanovich, Sebastian Schelter
MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines. SIGMOD Conference (2021)
Sebastian Schelter, Stefan Grafberger, Philipp Schmidt, Tammo Rukat, Mario Kießling, Andrey Taptunov, Felix Bießmann, Dustin Lange
Differential Data Quality Verification on Partitioned Data. ICDE (2019)