A Modeling Framework For Resolving Conflicts Between Experts’ Intuition And Data-driven AI Models
- Hogun Park
- Aly Megahed
- et al.
- 2020
- INFORMS 2020
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181 results for Automated AI
Adaptive Histogram-based Gradient Boosted Trees For Federated Learning
- Yuya Jeremy Ong
- Yi Zhou
- et al.
- 2020
- INFORMS 2020
Wrapping Up Offline RL as part of AutoMLPipeline Workflow
- 2023
- JuliaCon 2023
An End-to-end Automated AI System for Reinforcement Learning
- Long Vu
- Todd Mummert
- et al.
- 2022
- INFORMS 2022
Economically viable sustainable supplier and route selection framework for food supply chains
- Kumar Saurav
- Ivan Kayongo
- et al.
- 2021
- INFORMS 2021
Data and Knowledge Driven Optimization Model Generation for Flow Based Optimization Problems
- Dharmashankar Subramanian
- Segev Wasserkrug
- et al.
- 2021
- INFORMS 2021
AutoPeptideML: A study on how to build more trustworthy peptide bioactivity predictors
- Raúl Fernández Díaz
- Rodrigo Cossio-pérez
- et al.
- 2024
- ISMB 2024
Leveraging Large Language Models for Natural Language to SQL Conversion
- Noah Hampp
- Katya Mirylenka
- 2024
- MML 2024
Simple Yet Effective Approach to Generalized Few-Shot Semantic Segmentation
- 2023
- IBISML 2023
AI-driven Automated Purchase Order Management system
- Bing Zhang
- Shubhi Asthana
- et al.
- 2022
- INFORMS 2022