| 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 | 694 | 2019 |
| Variational inference of disentangled latent concepts from unlabeled observations A Kumar, P Sattigeri, A Balakrishnan International Conference on Learning Representations (ICLR), 2018 | 345 | 2018 |
| AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models. V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ... J. Mach. Learn. Res. 21 (130), 1-6, 2020 | 274* | 2020 |
| Semi-supervised learning with gans: Manifold invariance with improved inference A Kumar, P Sattigeri, T Fletcher Advances in neural information processing systems 30, 2017 | 173* | 2017 |
| 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 | 123 | 2018 |
| 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 | 116* | 2019 |
| Ar-net: Adaptive frame resolution for efficient action recognition Y Meng, CC Lin, R Panda, P Sattigeri, L Karlinsky, A Oliva, K Saenko, ... European Conference on Computer Vision, 86-104, 2020 | 65 | 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 | 59 | 2021 |
| Fairness of classifiers across skin tones in dermatology NM Kinyanjui, T Odonga, C Cintas, NCF Codella, R Panda, P Sattigeri, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 54* | 2020 |
| 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 | 52 | 2018 |
| Tafssl: Task-adaptive feature sub-space learning for few-shot classification M Lichtenstein, P Sattigeri, R Feris, R Giryes, L Karlinsky European Conference on Computer Vision, 522-539, 2020 | 47 | 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 | 46* | 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 | 43* | 2020 |
| 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 | 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 | 37 | 2014 |
| 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 | 27 | 2017 |
| 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 | 26 | 2019 |
| Electronic-nose for detecting environmental pollutants: Signal processing and analog front-end design H Kim, B Konnanath, P Sattigeri, J Wang, A Mulchandani, N Myung, ... Analog Integrated Circuits and Signal Processing 70 (1), 15-32, 2012 | 26 | 2012 |
| 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 | 25 | 2021 |
| A deep learning approach to multiple kernel fusion H Song, JJ Thiagarajan, P Sattigeri, KN Ramamurthy, A Spanias 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 22 | 2017 |
Karthikeyan Natesan RamamurthyResearch Staff Member, IBM Thomas J Watson Research Center, Yorktown Heights, NYVerified email at us.ibm.com
