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GUIDE-AI@SIGMOD 2024: Santiago, Chile
- Proceedings of the Conference on Governance, Understanding and Integration of Data for Effective and Responsible AI, GUIDE-AI 2024, Santiago, Chile, June 9-15, 2024. ACM 2024
- Anna Zeng
, Mike Cafarella
:
Digging Up Threats to Validity: A Data Marshalling Approach to Sensitivity Analysis. 1-5 - Markos Markakis
, Ziyu Zhang
, Rana Shahout
, Trinity Gao
, Chunwei Liu
, Ibrahim Sabek
, Michael J. Cafarella
:
Press ECCS to Doubt (Your Causal Graph). 6-15 - Yanlin Feng
, Sajjadur Rahman
, Aaron Feng
, Vincent Chen
, Eser Kandogan
:
CMDBench: A Benchmark for Coarse-to-fine Multimodal Data Discovery in Compound AI Systems. 16-25 - Jiaxiang Liu
, Zezhou Huang
, Eugene Wu
:
SET: Searching Effective Supervised Learning Augmentations in Large Tabular Data Repositories. 26-31 - Leopoldo Bertossi
, Felipe Azua
:
The Generalized Causal-Effect Score in Data Management (short paper). 32-35 - Zezhou Huang
:
Disambiguate Entity Matching using Large Language Models through Relation Discovery. 36-39 - Mohammad Hossein Moslemi
, Mostafa Milani
:
Threshold-Independent Fair Matching through Score Calibration. 40-44 - Yael Einy
, Tova Milo
, Slava Novgorodov
:
Cost-Effective LLM Utilization for Machine Learning Tasks over Tabular Data. 45-49 - Armin Esmaeilzadeh
, Joel Rorseth
, Andy Yu
, Parke Godfrey
, Lukasz Golab
, Divesh Srivastava
, Jaroslaw Szlichta
, Kazem Taghva
:
On Integrating the Data-Science and Machine-Learning Pipelines for Responsible AI. 50-53 - Amirhossein Aminimehr
, Pouya Khani
, Amirali Molaei
, Amirmohammad Kazemeini
, Erik Cambria
:
TbExplain: A Text-Based Explanation Method for Scene Classification Models With the Statistical Prediction Correction. 54-60
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