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Publication search results
found 11 matches
- 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: 54-60 - Leopoldo Bertossi, Felipe Azua:
The Generalized Causal-Effect Score in Data Management (short paper). GUIDE-AI@SIGMOD 2024: 32-35 - Yael Einy, Tova Milo, Slava Novgorodov:
Cost-Effective LLM Utilization for Machine Learning Tasks over Tabular Data. GUIDE-AI@SIGMOD 2024: 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. GUIDE-AI@SIGMOD 2024: 50-53 - 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: 16-25 - Zezhou Huang:
Disambiguate Entity Matching using Large Language Models through Relation Discovery. GUIDE-AI@SIGMOD 2024: 36-39 - Jiaxiang Liu, Zezhou Huang, Eugene Wu:
SET: Searching Effective Supervised Learning Augmentations in Large Tabular Data Repositories. GUIDE-AI@SIGMOD 2024: 26-31 - 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: 6-15 - Mohammad Hossein Moslemi, Mostafa Milani:
Threshold-Independent Fair Matching through Score Calibration. GUIDE-AI@SIGMOD 2024: 40-44 - Anna Zeng, Mike Cafarella:
Digging Up Threats to Validity: A Data Marshalling Approach to Sensitivity Analysis. GUIDE-AI@SIGMOD 2024: 1-5 - 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 [contents]
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