| Salient object subitizing J Zhang, S Ma, M Sameki, S Sclaroff, M Betke, Z Lin, X Shen, B Price, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 138 | 2015 |
| How to collect segmentations for biomedical images? A benchmark evaluating the performance of experts, crowdsourced non-experts, and algorithms D Gurari, D Theriault, M Sameki, B Isenberg, TA Pham, A Purwada, ... 2015 IEEE winter conference on applications of computer vision, 1169-1176, 2015 | 89 | 2015 |
| Explainable deep classification models for domain generalization A Zunino, SA Bargal, R Volpi, M Sameki, J Zhang, S Sclaroff, V Murino, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 47 | 2021 |
| Investigating the influence of data familiarity to improve the design of a crowdsourcing image annotation system D Gurari, M Sameki, M Betke Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 4 …, 2016 | 18 | 2016 |
| Predicting foreground object ambiguity and efficiently crowdsourcing the segmentation (s) D Gurari, K He, B Xiong, J Zhang, M Sameki, SD Jain, S Sclaroff, M Betke, ... International Journal of Computer Vision 126, 714-730, 2018 | 17 | 2018 |
| How to use level set methods to accurately find boundaries of cells in biomedical images? Evaluation of six methods paired with automated and crowdsourced initial contours D Gurari, D Theriault, M Sameki, M Betke Conference on medical image computing and computer assisted intervention …, 2014 | 14 | 2014 |
| Model monitoring in practice: Lessons learned and open challenges K Kenthapadi, H Lakkaraju, P Natarajan, M Sameki Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 13 | 2022 |
| ICORD: Intelligent Collection of Redundant Data-A Dynamic System for Crowdsourcing Cell Segmentations Accurately and Efficiently. M Sameki, D Gurari, M Betke CVPR Workshops, 1380-1389, 2016 | 12 | 2016 |
| Crowd-o-meter: Predicting if a person is vulnerable to believe political claims M Sameki, T Zhang, L Ding, M Betke, D Gurari Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 5 …, 2017 | 10 | 2017 |
| Performance analysis of Android underlying virtual machine in mobile phones E Azimzadeh, M Sameki, M Goudarzi 2012 IEEE Second International Conference on Consumer Electronics-Berlin …, 2012 | 9 | 2012 |
| Dynamic allocation of crowd contributions for sentiment analysis during the 2016 us presidential election M Sameki, M Gentil, KK Mays, L Guo, M Betke arXiv preprint arXiv:1608.08953, 2016 | 8 | 2016 |
| Predicting quality of crowdsourced image segmentations from crowd behavior M Sameki, D Gurari, M Betke Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 3 …, 2015 | 8 | 2015 |
| Tutorials at the web conference 2023 V Fionda, O Hartig, R Abdolazimi, S Amer-Yahia, H Chen, X Chen, P Cui, ... Companion Proceedings of the ACM Web Conference 2023, 648-658, 2023 | 7 | 2023 |
| Exploration of assistive technologies used by people with quadriplegia caused by degenerative neurological diseases W Feng, M Sameki, M Betke International Journal of Human–Computer Interaction 34 (9), 834-844, 2018 | 6 | 2018 |
| BUOCA: budget-optimized crowd worker allocation M Sameki, S Lai, KK Mays, L Guo, P Ishwar, M Betke arXiv preprint arXiv:1901.06237, 2019 | 4 | 2019 |
| Rigorously collecting commonsense judgments for complex question-answer content M Sameki, A Barua, P Paritosh Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 3 …, 2015 | 4 | 2015 |
| Characterizing image segmentation behavior of the crowd M Sameki, D Gurari, M Betke Collective Intelligence, 1-4, 2015 | 4 | 2015 |
| An IO Scheduling Algorithm to Improve Performance of Flash-Based Solid State Disks M Sameki, A Shambayati, H Asadi International Conference in Hossein Asadi Sharif University of Technology 4 …, 2008 | 4 | 2008 |
| Mixing crowd and algorithm efforts to segment objects in biomedical images D Gurari, M Sameki, Z Wu, M Betke Medical Image Computing and Computer Assisted Intervention Interactive …, 2016 | 3 | 2016 |
| Measures and best practices for responsible AI S Dev, M Sameki, J Dhamala, CJ Hsieh Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 2 | 2021 |
Margrit BetkeComputer Science, Boston UniversityVerified email at bu.edu
