GUIDE-AI@SIGMOD

Publications

2024

Mohammad Hossein Moslemi, Mostafa Milani
Threshold-Independent Fair Matching through Score Calibration. GUIDE-AI@SIGMOD (2024)
Jiaxiang Liu, Zezhou Huang, Eugene Wu
SET: Searching Effective Supervised Learning Augmentations in Large Tabular Data Repositories. GUIDE-AI@SIGMOD (2024)
Leopoldo Bertossi, Felipe Azua
The Generalized Causal-Effect Score in Data Management (short paper). GUIDE-AI@SIGMOD (2024)
Yanlin Feng, Sajjadur Rahman, Aaron Feng, Vincent Chen, Eser Kandogan
CMDBench: A Benchmark for Coarse-to-fine Multimodal Data Discovery in Compound AI Systems. GUIDE-AI@SIGMOD (2024)
Yael Einy, Tova Milo, Slava Novgorodov
Cost-Effective LLM Utilization for Machine Learning Tasks over Tabular Data. GUIDE-AI@SIGMOD (2024)
Anna Zeng, Mike Cafarella
Digging Up Threats to Validity: A Data Marshalling Approach to Sensitivity Analysis. GUIDE-AI@SIGMOD (2024)
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 GUIDE-AI@SIGMOD (2024)
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. GUIDE-AI@SIGMOD (2024)
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. GUIDE-AI@SIGMOD (2024)
Markos Markakis, Ziyu Zhang, Rana Shahout, Trinity Gao, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella
Press ECCS to Doubt (Your Causal Graph). GUIDE-AI@SIGMOD (2024)
Zezhou Huang
Disambiguate Entity Matching using Large Language Models through Relation Discovery. GUIDE-AI@SIGMOD (2024)