1 citations · 2 across the 3 of their papers we have counts for
3 papers
TsSHAP: Robust model agnostic feature-based explainability for time series forecasting
Vikas C. Raykar, Arindam Jati, Sumanta Mukherjee +4
A trustworthy machine learning model should be accurate as well as explainable. Understanding why a model makes a certain decision defines the notion of explainability. While vario…
Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail
Shravan Sajja, Nupur Aggarwal, Sumanta Mukherjee +3
Future of sustainable fashion lies in adoption of AI for a better understanding of consumer shopping behaviour and using this understanding to further optimize product design, deve…
Hyper-local sustainable assortment planning
Nupur Aggarwal, Abhishek Bansal, Kushagra Manglik +2
Assortment planning, an important seasonal activity for any retailer, involves choosing the right subset of products to stock in each store.While existing approaches only maximize…