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2020 – today
- 2023
[c6]Sandeep Hans
, Diptikalyan Saha, Aniya Aggarwal:
Explainable Data Imputation using Constraints. COMAD/CODS 2023: 128-132- 2022
- [c5]Diptikalyan Saha, Aniya Aggarwal, Sandeep Hans:
Data Synthesis for Testing Black-Box Machine Learning Models. COMAD/CODS 2022: 110-114 - [i5]Sandeep Hans, Diptikalyan Saha, Aniya Aggarwal:
Explainable Data Imputation using Constraints. CoRR abs/2205.04731 (2022) - 2021
- [c4]Aniya Aggarwal, Samiulla Shaikh, Sandeep Hans, Swastik Haldar, Rema Ananthanarayanan, Diptikalyan Saha:
Testing Framework for Black-box AI Models. ICSE (Companion Volume) 2021: 81-84 - [i4]Aniya Aggarwal, Samiulla Shaikh, Sandeep Hans, Swastik Haldar, Rema Ananthanarayanan, Diptikalyan Saha:
Testing Framework for Black-box AI Models. CoRR abs/2102.06166 (2021) - [i3]Nitin Gupta, Hima Patel, Shazia Afzal, Naveen Panwar, Ruhi Sharma Mittal, Shanmukha C. Guttula, Abhinav Jain, Lokesh Nagalapatti, Sameep Mehta, Sandeep Hans, Pranay Lohia, Aniya Aggarwal, Diptikalyan Saha:
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets. CoRR abs/2108.05935 (2021) - [i2]Diptikalyan Saha, Aniya Aggarwal, Sandeep Hans:
Data Synthesis for Testing Black-Box Machine Learning Models. CoRR abs/2111.02161 (2021)
2010 – 2019
- 2019
- [c3]Aniya Aggarwal, Pranay Lohia, Seema Nagar, Kuntal Dey, Diptikalyan Saha:
Black box fairness testing of machine learning models. ESEC/SIGSOFT FSE 2019: 625-635 - 2018
- [i1]Aniya Aggarwal, Pranay Lohia, Seema Nagar, Kuntal Dey, Diptikalyan Saha:
Automated Test Generation to Detect Individual Discrimination in AI Models. CoRR abs/1809.03260 (2018) - 2017
- [c2]Saloni Baweja, Aniya Aggarwal, Vikram Goyal, Sameep Mehta:
Automatic Retrieval of Actionable Information from Disaster-related Microblogs. FIRE (Working Notes) 2017: 43-45 - 2014
- [c1]Samit Anwer, Aniya Aggarwal, Rahul Purandare, Vinayak Naik:
Chiromancer: a tool for boosting Android application performance. MOBILESoft 2014: 62-65
Coauthor Index
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