| Catching a viral video T Broxton, Y Interian, J Vaver, M Wattenhofer Journal of intelligent information systems 40, 241-259, 2013 | 213 | 2013 |
| Expert-augmented machine learning ED Gennatas, JH Friedman, LH Ungar, R Pirracchio, E Eaton, ... Proceedings of the National Academy of Sciences 117 (9), 4571-4577, 2020 | 129 | 2020 |
| Deep nets vs expert designed features in medical physics: an IMRT QA case study Y Interian, V Rideout, VP Kearney, E Gennatas, O Morin, J Cheung, ... Medical physics 45 (6), 2672-2680, 2018 | 124 | 2018 |
| Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival O Morin, WC Chen, F Nassiri, M Susko, ST Magill, HN Vasudevan, A Wu, ... Neuro-oncology advances 1 (1), vdz011, 2019 | 108 | 2019 |
| Targeted transfer learning to improve performance in small medical physics datasets M Romero, Y Interian, T Solberg, G Valdes Medical physics 47 (12), 6246-6256, 2020 | 64 | 2020 |
| Regular Random k-SAT: Properties of Balanced Formulas Y Boufkhad, O Dubois, Y Interian, B Selman Journal of Automated Reasoning 35 (1), 181-200, 2005 | 54 | 2005 |
| Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging J Cluceru, Y Interian, JJ Phillips, AM Molinaro, TL Luks, P Alcaide-Leon, ... Neuro-oncology 24 (4), 639-652, 2022 | 48 | 2022 |
| A model for generating random quantified boolean formulas H Chen, Y Interian IJCAI, 66-71, 2005 | 46 | 2005 |
| Measuring advertising quality on television: deriving meaningful metrics from audience retention data D Zigmond, S Dorai-Raj, Y Interian, I Naverniouk Journal of Advertising Research 49 (4), 419-428, 2009 | 28 | 2009 |
| Backdoor sets for random 3-SAT Y Interian SAT, 231-238, 2003 | 28 | 2003 |
| Modeling HIV epidemic under contact tracing—the Cuban case H De Arazoza, R Lounes, T Hoang, Y Interian Computational and Mathematical Methods in Medicine 2 (4), 267-274, 2000 | 27 | 2000 |
| Training deep learning models with small datasets M Romero, Y Interian, T Solberg, G Valdes arXiv preprint arXiv:1912.06761, 2019 | 22 | 2019 |
| Comment on ‘Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study’ G Valdes, Y Interian Physics in Medicine & Biology 63 (6), 068001, 2018 | 21 | 2018 |
| Salvage HDR brachytherapy: multiple hypothesis testing versus machine learning analysis G Valdes, AJ Chang, Y Interian, K Owen, ST Jensen, LH Ungar, A Cunha, ... International Journal of Radiation Oncology* Biology* Physics 101 (3), 694-703, 2018 | 20 | 2018 |
| When viewers control the schedule: Measuring the impact of digital video recording on TV viewership D Zigmond, Y Interian, S Lanning, J Hawkins, R Mirisola, S Rowe, ... Key Issues Forums at ARF Audience Measurement Conference, 147-155, 2009 | 11 | 2009 |
| Finding Small Unsatisfiable Cores to Prove Unsatisfiability of QBFs. Y Interian, G Corvera, B Selman, R Williams AI&M, 2006 | 10 | 2006 |
| Ad quality on TV: predicting television audience retention Y Interian, S Dorai-Raj, I Naverniouk, PJ Opalinski, Kaustuv, D Zigmond Proceedings of the Third International Workshop on Data Mining and Audience …, 2009 | 9 | 2009 |
| Approximation Algorithm for Random MAX-kSAT Y Interian International Conference on Theory and Applications of Satisfiability …, 2004 | 9 | 2004 |
| The conditional super learner G Valdes, Y Interian, E Gennatas, M Van der Laan IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12 …, 2021 | 7 | 2021 |
| Improving the automatic classification of brain mri acquisition contrast with machine learning J Cluceru, JM Lupo, Y Interian, R Bove, JC Crane Journal of Digital Imaging 36 (1), 289-305, 2023 | 6 | 2023 |
Gilmer ValdesAssociate Professor, University of California San Franciscoucsf.edu üzerinde doğrulanmış e-posta adresine sahip