| AI Fairness 360: An extensible toolkit for detecting, understanding, and mitigating unwanted algorithmic bias RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ... arXiv preprint arXiv:1810.01943, 2018 | 534 | 2018 |
| Variational inference of disentangled latent concepts from unlabeled observations A Kumar, P Sattigeri, A Balakrishnan International Conference on Learning Representations (ICLR), 2018 | 394 | 2018 |
| AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ... IBM Journal of Research and Development 63 (4/5), 4: 1-4: 15, 2019 | 332 | 2019 |
| AI Explainability 360 Toolkit V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ... Proceedings of the 3rd ACM India Joint International Conference on Data …, 2021 | 308* | 2021 |
| Semi-supervised learning with gans: Manifold invariance with improved inference A Kumar, P Sattigeri, T Fletcher Advances in neural information processing systems 30, 2017 | 183* | 2017 |
| Fairness GAN: Generating datasets with fairness properties using a generative adversarial network P Sattigeri, SC Hoffman, V Chenthamarakshan, KR Varshney IBM Journal of Research and Development 63 (4/5), 3: 1-3: 9, 2019 | 146* | 2019 |
| Co-regularized alignment for unsupervised domain adaptation A Kumar, P Sattigeri, K Wadhawan, L Karlinsky, R Feris, B Freeman, ... Advances in neural information processing systems 31, 2018 | 142 | 2018 |
| Ar-net: Adaptive frame resolution for efficient action recognition Y Meng, CC Lin, R Panda, P Sattigeri, L Karlinsky, A Oliva, K Saenko, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 92 | 2020 |
| Uncertainty as a form of transparency: Measuring, communicating, and using uncertainty U Bhatt, J Antorán, Y Zhang, QV Liao, P Sattigeri, R Fogliato, G Melançon, ... Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 401-413, 2021 | 91 | 2021 |
| Fairness of classifiers across skin tones in dermatology NM Kinyanjui, T Odonga, C Cintas, NCF Codella, R Panda, P Sattigeri, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 66* | 2020 |
| Tafssl: Task-adaptive feature sub-space learning for few-shot classification M Lichtenstein, P Sattigeri, R Feris, R Giryes, L Karlinsky Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 58 | 2020 |
| Understanding unequal gender classification accuracy from face images V Muthukumar, T Pedapati, N Ratha, P Sattigeri, CW Wu, B Kingsbury, ... arXiv preprint arXiv:1812.00099, 2018 | 55* | 2018 |
| Leveraging latent features for local explanations R Luss, PY Chen, A Dhurandhar, P Sattigeri, Y Zhang, K Shanmugam, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 54* | 2021 |
| Optimizing kernel machines using deep learning H Song, JJ Thiagarajan, P Sattigeri, A Spanias IEEE transactions on neural networks and learning systems 29 (11), 5528-5540, 2018 | 54 | 2018 |
| Treeview and Disentangled Representations for Explaining Deep Neural Networks Decisions P Sattigeri, KN Ramamurthy, JJ Thiagarajan, B Kailkhura 2020 54th Asilomar Conference on Signals, Systems, and Computers, 284-288, 2020 | 49* | 2020 |
| One explanation does not fit all: A toolkit and taxonomy of ai explainability techniques. arXiv 2019 V Arya, RK Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ... arXiv preprint arXiv:1909.03012, 2022 | 44 | 2022 |
| Adafuse: Adaptive temporal fusion network for efficient action recognition Y Meng, R Panda, CC Lin, P Sattigeri, L Karlinsky, K Saenko, A Oliva, ... arXiv preprint arXiv:2102.05775, 2021 | 41 | 2021 |
| Quantitative resolution of nanoparticle sizes using single particle inductively coupled plasma mass spectrometry with the K-means clustering algorithm X Bi, S Lee, JF Ranville, P Sattigeri, A Spanias, P Herckes, P Westerhoff Journal of Analytical Atomic Spectrometry 29 (9), 1630-1639, 2014 | 40 | 2014 |
| Think your artificial intelligence software is fair? Think again RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ... IEEE Software 36 (4), 76-80, 2019 | 32 | 2019 |
| How to foster innovation: A data-driven approach to measuring economic competitiveness C Kuhlman, KN Ramamurthy, P Sattigeri, AC Lozano, L Cao, C Reddy, ... IBM Journal of Research and Development 61 (6), 11: 1-11: 12, 2017 | 28 | 2017 |
Karthikeyan Natesan RamamurthyResearch Staff Member, IBM Thomas J Watson Research Center, Yorktown Heights, NYEmail confirmado em us.ibm.com
