| Discriminative clustering by regularized information maximization RG Gomes, A Krause, P Perona Advances in neural information processing systems, 775-783, 2010 | 448* | 2010 |
| Crowdclustering R Gomes, P Welinder, A Krause, P Perona NIPS 2011, 2011 | 231 | 2011 |
| Budgeted nonparametric learning from data streams RG Gomes, A Krause Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010 | 158 | 2010 |
| Incremental learning of nonparametric Bayesian mixture models R Gomes, M Welling, P Perona 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 67 | 2008 |
| A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment RG Gomes, B Vwalika, C Lee, A Willis, M Sieniek, JT Price, C Chen, ... Communications Medicine 2 (1), 128, 2022 | 24 | 2022 |
| Towards a Personal Health Large Language Model J Cosentino, A Belyaeva, X Liu, NA Furlotte, Z Yang, C Lee, E Schenck, ... arXiv preprint arXiv:2406.06474, 2024 | 17 | 2024 |
| Development of a machine learning model for sonographic assessment of gestational age C Lee, A Willis, C Chen, M Sieniek, A Watters, B Stetson, A Uddin, J Wong, ... JAMA network open 6 (1), e2248685-e2248685, 2023 | 15 | 2023 |
| Method and Apparatus For Video Compression of Stationary Scenes RG Gomes US Patent App. 13/651,458, 2013 | 12 | 2013 |
| Memory bounded inference in topic models R Gomes, M Welling, P Perona Proceedings of the 25th international conference on Machine learning, 344-351, 2008 | 11 | 2008 |
| Systems and methods for the distributed categorization of source data R Gomes, P Welinder, A Krause, P Perona US Patent 10,157,217, 2018 | 10 | 2018 |
| Systems and methods for the distributed categorization of source data R Gomes, P Welinder, A Krause, P Perona US Patent 9,355,167, 2016 | 9 | 2016 |
| AI system for fetal ultrasound in low-resource settings RG Gomes, B Vwalika, C Lee, A Willis, M Sieniek, JT Price, C Chen, ... arXiv preprint arXiv:2203.10139, 2022 | 5 | 2022 |
| Towards open ended learning: budgets, model selection, and representation RG Gomes California Institute of Technology, 2011 | 3 | 2011 |
| Automated Maternal and Prenatal Health Diagnostics from Ultrasound Blind Sweep Video Sequences R Gomes, S Shetty, D Tse, C Lee, A Starns US Patent App. 17/763,120, 2022 | 1 | 2022 |
| OC07. 02: Generalisation and deployment of an artificial intelligence system for gestational age estimation from blind sweep ultrasound to new clinical settings A Willis, C Lee, J Krogue, A Watters, M Vaidyanathan, N Young‐Lin, ... Ultrasound in Obstetrics & Gynecology 64, 17-18, 2024 | | 2024 |
| Enabling faster and more reliable sonographic assessment of gestational age through machine learning C Lee, A Willis, C Chen, M Sieniek, A Uddin, J Wong, R Pilgrim, K Chou, ... arXiv preprint arXiv:2203.11903, 2022 | | 2022 |
| Incremental Learning of Nonparametric Bayesian Mixture Models: Extended Thesis Chapter R Gomes, M Welling, P Perona | | 2011 |
Pietro PeronaCalifornia Institute of TechnologyGeverifieerd e-mailadres voor caltech.edu