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HILDA@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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