Prasanna Sattigeri
Prasanna Sattigeri
IBM Research AI, MIT-IBM Watson AI Lab
Geverifieerd e-mailadres voor us.ibm.com - Homepage
Geciteerd door
Geciteerd door
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
Variational inference of disentangled latent concepts from unlabeled observations
A Kumar, P Sattigeri, A Balakrishnan
International Conference on Learning Representations (ICLR), 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
Semi-supervised learning with gans: Manifold invariance with improved inference
A Kumar, P Sattigeri, T Fletcher
Advances in neural information processing systems 30, 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Building calibrated deep models via uncertainty matching with auxiliary interval predictors
JJ Thiagarajan, B Venkatesh, P Sattigeri, PT Bremer
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6005-6012, 2020
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Artikelen 1–20