Assisted Design of Data Science Pipelines

Citations

Showing 12 citing works with retrievable metadata.

• OpenML: Insights from 10 years and more than a thousand papers
  Bernd Bischl, Giuseppe Casalicchio, Taniya Das, et al. · 2025 · Patterns
• Automated Provenance-Based Screening of ML Data Preparation Pipelines
  Sebastian Schelter, Shubha Guha, Stefan Grafberger · 2024 · Datenbank-Spektrum
• Data Integration in the AI Era: Research Trends and Still Open Issues
  Robert Wrembel · 2025 · Lecture notes in computer science
• Integrating Meta-features with Knowledge Graph Embeddings for Meta-learning
  Antonis Klironomos, Ioannis Dasoulas, Francesco Periti, et al. · 2026 · Lecture notes in computer science
• MLOps Systems for Developing ML Pipelines
  Antonios Kontaxakis, Dimitris Sacharidis, Alkis Simitsis, et al. · 2026
• CAPS: Cost-Aware ML Pipeline Selection
  Antonios Kontaxakis, Dimitris Sacharidis, Alberto Abelló, et al. · 2026 · Proceedings of the VLDB Endowment
• Using Small Language Models to Reverse-Engineer Machine Learning Pipelines Structures
  N. Lacroix, M. Blay-Fornarino, Sébastien Mosser, et al. · 2026 · arXiv.org
• Lightweight Machine Learning and Large Language Model Integration for AI-Assisted Personal Interviews
  P. P. H. Nadeak, Irma Amelia Dewi, Y. Bandung · 2025 · 2025 IEEE International Conference on Technology, Informatics, Management, Engineering and Environment (TIME-E)
• Towards Democratized Machine Learning: A Semantic Web Approach
  Antonis Klironomos · 2025 · The Web Conference
• Capturing and Anticipating User Intents in Data Analytics via Knowledge Graphs
  Gerard Pons, Besim Bilalli, Anna Queralt · 2024 · Knowledge-Based Systems
• Modyn: Data-Centric Machine Learning Pipeline Orchestration
  Maximilian Böther, Viktor Gsteiger, Ties Robroek, et al. · 2023 · Proc. ACM Manag. Data
• Automating Data Lineage and Pipeline Extraction
  Sebastian Eggers