Explainable Data Imputation using Constraints
- Sandeep Hans
- Diptikalyan Saha
- et al.
- 2023
- CODS-COMAD 2023
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32 results for Diptikalyan Saha
Global Explanations for Multivariate time series models
- Vijay Arya
- Diptikalyan Saha
- et al.
- 2023
- CODS-COMAD 2023
Data Synthesis for Testing Black-Box Machine Learning Models
- Diptikalyan Saha
- Aniya Aggarwal
- et al.
- 2022
- CODS-COMAD 2022
Verifying individual fairness in machine learning models
- Philips George John
- Deepak Vijaykeerthy
- et al.
- 2020
- UAI 2020
Bootstrapping Chatbot Interfaces to Databases
- Ashish Mittal
- Diptikalyan Saha
- et al.
- 2021
- CODS-COMAD 2021
Optimizing Interpretation Generation in Natural Language Query Answering for Real Time End Users
- Jaydeep Sen
- Diptikalyan Saha
- et al.
- 2021
- CODS-COMAD 2021
Reliable Counterfactual Explanations for Autoencoder based Anomalies
- Swastik Haldar
- Philips George John
- et al.
- 2021
- CODS-COMAD 2021
Black box fairness testing of machine learning models
- Aniya Aggarwal
- Pranay Lohia
- et al.
- 2019
- ESEC/FSE 2019
Natural language querying of complex business intelligence queries
- Jaydeep Sen
- Greg Stager
- et al.
- 2019
- SIGMOD 2019
Bias Mitigation Post-processing for Individual and Group Fairness
- Pranay Lohia
- Karthikeyan Natesan Ramamurthy
- et al.
- 2019
- ICASSP 2019