Biases in AI systems R Srinivasan, A Chander Communications of the ACM 64 (8), 44-49, 2021 | 94 | 2021 |
Working with beliefs: AI transparency in the enterprise. A Chander, R Srinivasan, S Chelian, J Wang, K Uchino IUI Workshops 1, 2018 | 70 | 2018 |
Biases in generative art: A causal look from the lens of art history R Srinivasan, K Uchino Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 59 | 2021 |
Explanation perspectives from the cognitive sciences—A survey R Srinivasan, A Chander Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 40 | 2021 |
Computerized face recognition in renaissance portrait art: A quantitative measure for identifying uncertain subjects in ancient portraits R Srinivasan, C Rudolph, AK Roy-Chowdhury IEEE Signal Processing Magazine 32 (4), 85-94, 2015 | 36 | 2015 |
The role of empathy for artificial intelligence accountability R Srinivasan, BSM González Journal of Responsible Technology 9, 100021, 2022 | 21 | 2022 |
Evaluating explanations by cognitive value A Chander, R Srinivasan Machine Learning and Knowledge Extraction: Second IFIP TC 5, TC 8/WG 8.4, 8 …, 2018 | 21 | 2018 |
Generating user-friendly explanations for loan denials using gans R Srinivasan, A Chander, P Pezeshkpour arXiv preprint arXiv:1906.10244, 2019 | 18 | 2019 |
Artsheets for art datasets R Srinivasan, E Denton, J Famularo, N Rostamzadeh, F Diaz, B Coleman Thirty-fifth conference on neural information processing systems datasets …, 2021 | 11 | 2021 |
Tunable generative adversarial networks RM SRINIVASAN, A Chander US Patent 10,699,161, 2020 | 10 | 2020 |
Textual emotion detection RM Srinivasan, A Chander US Patent 9,864,743, 2018 | 9 | 2018 |
Faces: Faces, art, and computerized evaluation systems–a feasibility study of the application of face recognition technology to works of portrait C Rudolph, AR Chowdhury, R Srinivasan, J Kohl Artibus et historiae: an art anthology, 265-291, 2017 | 8 | 2017 |
Recognizing the royals: Leveraging computerized face recognition for identifying subjects in ancient artworks R Srinivasan, A Roy-Chowdhury, C Rudolph, J Kohl Proceedings of the 21st ACM international conference on Multimedia, 581-584, 2013 | 8 | 2013 |
Crowdsourcing in the Absence of Ground Truth--A Case Study R Srinivasan, A Chander arXiv preprint arXiv:1906.07254, 2019 | 7 | 2019 |
Creation of user friendly datasets: Insights from a case study concerning explanations of loan denials A Chander, R Srinivasan arXiv preprint arXiv:1906.04643, 2019 | 7 | 2019 |
Active learning source code review framework RM Srinivasan, A Chander US Patent App. 15/468,065, 2018 | 6 | 2018 |
Face recognition based on SIGMA sets of image features R Srinivasan, A Nagar, A Tewari, D Mitrani, A Roy-Chowdhury 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 6 | 2014 |
Quantitative modeling of artist styles in Renaissance face portraiture R Srinivasan, A Roy-Chowdhury, C Rudolph, J Kohl Proceedings of the 2nd International Workshop on Historical Document Imaging …, 2013 | 6 | 2013 |
Forecasting worker aptitude using a machine learning collective matrix factorization framework RM Srinivasan, JG Jetcheva, A Chander US Patent App. 15/387,605, 2018 | 5 | 2018 |
Estimating conditional probabilities RM Srinivasan, A Chander US Patent 11,222,278, 2022 | 4 | 2022 |