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ORCIDHILDA@SIGMOD 2024: Santiago, Chile
- Jean-Daniel Fekete, Behrooz Omidvar-Tehrani, Kexin Rong, Roee Shraga:
Proceedings of the 2024 Workshop on Human-In-the-Loop Data Analytics, HILDA 24, Santiago, Chile, 14 June 2024. ACM 2024 - Zezhou Huang
, Eugene Wu:
Cocoon: Semantic Table Profiling Using Large Language Models. 1-7 - Carlos Ordonez, Robin Varghese, Nguyen Phan, Wojciech Macyna:
Growing a FLOWER: Building a Diagram Unifying Flow and ER Notation for Data Science. 1-8 - Madelon Hulsebos, Wenjing Lin, Shreya Shankar, Aditya G. Parameswaran:
It Took Longer than I was Expecting: Why is Dataset Search Still so Hard? 1-4 - Sebastian Strasser, Meike Klettke:
Transparent Data Preprocessing for Machine Learning. 1-6 - Andra Ionescu, Zeger Mouw, Efthimia Aivaloglou, Asterios Katsifodimos:
Key Insights from a Feature Discovery User Study. 1-5 - Cole Beasley, Azza Abouzied:
Pipe(line) Dreams: Fully Automated End-to-End Analysis and Visualization. 1-7 - Matan Solomon, Bar Genossar, Avigdor Gal:
CopycHats: Question Sequencing with Artificial Agents. 1-7 - Hojin Yoo, Arnab Nandi:
Guided Querying over Videos using Autocompletion Suggestions. 1-7 - Pratik Pokharel, Juseung Lee, Oliver Kennedy, Marianthi Markatou, Andrew H. Talal, Jeff Good, Raktim Mukhopadhyay:
Drag, Drop, Merge: A Tool for Streamlining Integration of Longitudinal Survey Instruments. 1-7 - Benjamin Hättasch, Carsten Binnig:
More of that, please: Domain Adaptation of Information Extraction through Examples & Feedback. 1-7 - Nadja Geisler, Carsten Binnig:
Towards Extending XAI for Full Data Science Pipelines. 1-7 - Junfei Liu, Shaotong Sun, Fatemeh Nargesian:
Causal Dataset Discovery with Large Language Models. 1-8 - Yilin Li, Deddy Jobson:
LLMs as an Interactive Database Interface for Designing Large Queries. 1-7
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last updated on 2024-11-11 21:37 CET by the dblp team
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