- 2024
- Carlos Ordonez
, Robin Varghese, Nguyen Phan, Wojciech Macyna:
Growing a FLOWER: Building a Diagram Unifying Flow and ER Notation for Data Science. HILDA@SIGMOD 2024: 1-8 - Cole Beasley, Azza Abouzied:
Pipe(line) Dreams: Fully Automated End-to-End Analysis and Visualization. HILDA@SIGMOD 2024: 1-7 - Nadja Geisler, Carsten Binnig:
Towards Extending XAI for Full Data Science Pipelines. HILDA@SIGMOD 2024: 1-7 - Benjamin Hättasch, Carsten Binnig:
More of that, please: Domain Adaptation of Information Extraction through Examples & Feedback. HILDA@SIGMOD 2024: 1-7 - Zezhou Huang, Eugene Wu:
Cocoon: Semantic Table Profiling Using Large Language Models. HILDA@SIGMOD 2024: 1-7 - Madelon Hulsebos, Wenjing Lin, Shreya Shankar, Aditya G. Parameswaran:
It Took Longer than I was Expecting: Why is Dataset Search Still so Hard? HILDA@SIGMOD 2024: 1-4 - Andra Ionescu, Zeger Mouw, Efthimia Aivaloglou, Asterios Katsifodimos:
Key Insights from a Feature Discovery User Study. HILDA@SIGMOD 2024: 1-5 - Yilin Li, Deddy Jobson:
LLMs as an Interactive Database Interface for Designing Large Queries. HILDA@SIGMOD 2024: 1-7 - Junfei Liu, Shaotong Sun, Fatemeh Nargesian:
Causal Dataset Discovery with Large Language Models. HILDA@SIGMOD 2024: 1-8 - 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. HILDA@SIGMOD 2024: 1-7 - Matan Solomon, Bar Genossar, Avigdor Gal:
CopycHats: Question Sequencing with Artificial Agents. HILDA@SIGMOD 2024: 1-7 - Sebastian Strasser, Meike Klettke:
Transparent Data Preprocessing for Machine Learning. HILDA@SIGMOD 2024: 1-6 - Hojin Yoo, Arnab Nandi:
Guided Querying over Videos using Autocompletion Suggestions. HILDA@SIGMOD 2024: 1-7 - 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 [contents] - 2023
- Sadeem Alsudais, Avinash Kumar, Chen Li:
Raven: Accelerating Execution of Iterative Data Analytics by Reusing Results of Previous Equivalent Versions. HILDA@SIGMOD 2023: 3:1-3:7 - Kaustav Bhattacharjee, Aritra Dasgupta:
VALUE: Visual Analytics driven Linked data Utility Evaluation. HILDA@SIGMOD 2023: 9:1-9:7 - Colin Brown, Hamed Alhoori, David Koop:
Facilitating Dependency Exploration in Computational Notebooks. HILDA@SIGMOD 2023: 6:1-6:7 - Jianhao Cao, Tamara Munzner, Rachel Pottinger:
Visualizing a Tabular Data Repository to Facilitate Descriptive Tag Augmentation for New Tables. HILDA@SIGMOD 2023: 10:1-10:3 - Yiru Chen, Jeffrey Tao, Eugene Wu:
DIG: The Data Interface Grammar. HILDA@SIGMOD 2023: 7:1-7:7 - Zezhou Huang, Pavan Kalyan Damalapati, Eugene Wu:
Aggregation Consistency Errors in Semantic Layers and How to Avoid Them. HILDA@SIGMOD 2023: 8:1-8:7 - Oliver Kennedy, Boris Glavic, Michael Brachmann:
Overlay Spreadsheets. HILDA@SIGMOD 2023: 4:1-4:7 - Daniel Kerrigan, Enrico Bertini:
SliceLens: Guided Exploration of Machine Learning Datasets. HILDA@SIGMOD 2023: 1:1-1:7 - Timo Räth, Ngozichukwuka Onah, Kai-Uwe Sattler:
Interactive Data Cleaning for Real-Time Streaming Applications. HILDA@SIGMOD 2023: 13:1-13:3 - Kristina Wolf, Dominik Winecki, Arnab Nandi:
Camera-First Form Filling: Reducing the Friction in Climate Hazard Reporting. HILDA@SIGMOD 2023: 2:1-2:7 - Jun Yuan, Aritra Dasgupta:
A Human-in-the-loop Workflow for Multi-Factorial Sensitivity Analysis of Algorithmic Rankers. HILDA@SIGMOD 2023: 5:1-5:5 - Mengqi Zhang, Pranay Mundra, Chukwubuikem Chikweze, Fatemeh Nargesian, Gerhard Weikum:
Approximate Query Answering over Open Data. HILDA@SIGMOD 2023: 11:1-11:3 - Jinjin Zhao, Avigdor Gal, Sanjay Krishnan:
Data Makes Better Data Scientists. HILDA@SIGMOD 2023: 12:1-12:3 - Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA 2023, Seattle, WA, USA, 18 June 2023. ACM 2023 [contents]
- 2022
- Christian Duta:
Another way to implement complex computations: functional-style SQL UDF. HILDA@SIGMOD 2022: 6:1-6:7 - Nadja Geisler, Carsten Binnig:
Introducing quest: a query-driven framework to explain classification models on tabular data. HILDA@SIGMOD 2022: 2:1-2:4
