DORIAN in Action: Assisted Design of Data Science Pipelines

Citations

Showing 14 citing works with retrievable metadata.

• Assisted design of data science pipelines
  Sergey Redyuk, Zoi Kaoudi, Sebastian Schelter, et al. · 2024 · The VLDB Journal
• Demystifying Artificial Intelligence for Data Preparation
  Chengliang Chai, Nan Tang, Ju Fan, et al. · 2023 · ACM SIGMOD International Conference on Management of Data (SIGMOD)
• SeFNet: Linking tabular datasets with semantic feature nets
  Katarzyna Woźnica, Piotr Wilczyński, Przemysław Biecek · 2025 · Information Fusion
• P2D: A Transpiler Framework for Optimizing Data Science Pipelines
  Yordan Grigorov, Haralampos Gavriilidis, Sergey Redyuk, et al. · 2023 · Workshop on Data Management for End-to-End Machine Learning (DEEM)
• Balancing the Complexity of Data Pipeline Engineering: A Technological Landscape Where Human Expertise Meets Large Language Models
  Rim Moussa, Tarek Bejaoui · 2024 · International Symposium on Networks, Computers and Communications (ISNCC)
• Exploring humans and LLMs collaboration in the data science pipeline
  Sohrab Namazi Nia, Senjuti Basu Roy · 2026 · Expert Systems with Applications
• Exploring Humans and LLMs Collaboration in the Data Science Pipeline
  Sohrab Namazi Nia, Senjuti Basu Roy · 2025 · SSRN Electronic Journal
• Exploring Humans and LLMs Collaboration in the Data Science Pipeline
  Sohrab Namazi Nia, Senjuti Basu Roy · 2025 · SSRN Electronic Journal
• Evidence-based data preparation pipeline design for data-centric AI
  Camilla Sancricca, Mattia Sabella, Cinzia Cappiello · 2026 · Future Generation Computer Systems
• Recommendation Systems for Exploratory Data Tasks
  Anna Fariha, Whanhee Cho · 2026
• AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework
  Mei-Hao Fan, Ju Fan, Nan Tang, et al. · 2024 · Proceedings of the VLDB Endowment
• X Hacking: The Threat of Misguided AutoML
  Rahul Sharma, Sumantrak Mukherjee, Andrea Sipka, et al. · 2024 · International Conference on Machine Learning
• Saturn: An Optimized Data System for Multi-Large-Model Deep Learning Workloads
  Kabir Nagrecha, Arun Kumar · 2023 · Proceedings of the VLDB Endowment
• Interpretable Highlights for Experiment Tracking
  Vassilis Stamatopoulos, Panagiotis Gidarakos, Stavros Maroulis, et al. · 2026 · International Workshop on Data Warehousing and OLAP