Data and Knowledge Driven Optimization Model Generation for Flow Based Optimization Problems
- Dharmashankar Subramanian
- Segev Wasserkrug
- et al.
- 2021
- INFORMS 2021
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Yield Modeling for Multi-Layer Products
- Emmanuel Yashchin
- 2021
- INFORMS 2021
Robust Feature Based Model Agnostic Explainability For Time Series Forecasting
- Vikas Raykar
- Sumanta Mukherjee
- et al.
- 2021
- INFORMS 2021
Balancing The Work Order Stability In Maintenance Rescheduling
- Nianjun Zhou
- Dzung Phan
- et al.
- 2021
- INFORMS 2021
Contract Information Extraction Using Watson NLP And Human-in-the-loop
- Amal Mehta
- Shubhi Asthana
- et al.
- 2021
- INFORMS 2021
Simpler (classical) and Faster (quantum) Algorithms for Gibbs Partition Functions
- Srinivasan Arunachalam
- Vojtech Havlicek
- et al.
- 2021
- INFORMS 2021
One Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques
- 2021
- INFORMS 2021
A Sustainable Supply Chain Management Knowledge Graph Tool For Understanding Retail Demand Variations In Response To Climatic Shifts In Seasonal Trends
- Reginald Bryant
- Smitkumar Marvaniya
- et al.
- 2021
- INFORMS 2021
Multi-objective Optimization and its Pareto Extension
- Ferenc Katai
- Evgeny Shindin
- et al.
- 2021
- INFORMS 2021