Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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9 results for Surya Shravan Kumar Sajja

Alternate Forecast: a GMM based representation of forecast and prediction interval
- - Sumanta Mukherjee
  - Siddhant Haldar
  - et al.
- 2021
- INFORMS 2021
Explainability For Efficient And Trusted Decision Optimization
- - Kanthi Sarpatwar
  - Surya Shravan Kumar Sajja
  - et al.
- 2021
- INFORMS 2021
Privacy preserving explanations for hierarchical time series forecasts
- - Surya Shravan Kumar Sajja
  - Sumanta Mukherjee
  - et al.
- 2021
- INFORMS 2021
New Product Multimodal Demand Forecasting For Fashion Retail
- - Vijay E
  - Kushagra Manglik
  - et al.
- 2021
- INFORMS 2021
Explainability versus privacy for hierarchical time series forecasting
- - Surya Shravan Kumar Sajja
  - Sumanta Mukherjee
  - et al.
- 2021
- ISF 2021
New product demand forecasting for fashion retail
- - Vijay Ekambaram
  - Kushagra Manglik
  - et al.
- 2021
- ISF 2021
Explainable AI based interventions for pre-season decision making in fashion retail
- - Surya Shravan Kumar Sajja
  - Nupur Aggarwal
  - et al.
- 2020
- INFORMS 2020
Explainable hyper-local demand sensing for fashion retail
- - Vijay Ekambaram
  - Surya Shravan Kumar Sajja
  - et al.
- 2020
- INFORMS 2020
Can social media trends improve demand forecast ?
- - Akshay Gugnani
  - Surya Shravan Kumar Sajja
  - et al.
- 2020
- INFORMS 2020