| NoScope: Optimizing Deep CNN-Based Queries over Video Streams at Scale. D Kang, J Emmons, F Abuzaid, P Bailis, M Zaharia Proc. VLDB Endow. 10 (11), 1586-1597, 2017 | 412* | 2017 |
| Caffe con troll: Shallow ideas to speed up deep learning S Hadjis, F Abuzaid, C Zhang, C Ré Proceedings of the Fourth Workshop on Data analytics in the Cloud, 1-4, 2015 | 75* | 2015 |
| Filter before you parse: faster analytics on raw data with sparser S Palkar, F Abuzaid, P Bailis, M Zaharia Proceedings of the VLDB Endowment 11 (11), 1576-1589, 2018 | 58 | 2018 |
| Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial Fibrillation MI Alhusseini, F Abuzaid, AJ Rogers, JAB Zaman, T Baykaner, P Clopton, ... Circulation: Arrhythmia and Electrophysiology 13 (8), e008160, 2020 | 36 | 2020 |
| DIFF: a relational interface for large-scale data explanation F Abuzaid, P Kraft, S Suri, E Gan, E Xu, A Shenoy, A Ananthanarayan, ... Proceedings of the VLDB Endowment 12 (4), 419-432, 2018 | 33 | 2018 |
| Yggdrasil: An optimized system for training deep decision trees at scale F Abuzaid, JK Bradley, FT Liang, A Feng, L Yang, M Zaharia, ... Advances in Neural Information Processing Systems, 3817-3825, 2016 | 27 | 2016 |
| To Index or Not to Index: Optimizing Exact Maximum Inner Product Search F Abuzaid, G Sethi, P Bailis, M Zaharia 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1250-1261, 2019 | 26 | 2019 |
| Machine learned cellular phenotypes in cardiomyopathy predict sudden death AJ Rogers, A Selvalingam, MI Alhusseini, DE Krummen, C Corrado, ... Circulation Research 128 (2), 172-184, 2021 | 20 | 2021 |
| Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP D Narayanan, F Kazhamiaka, F Abuzaid, P Kraft, A Agrawal, S Kandula, ... | 19 | 2021 |
| Contracting Wide-area Network Topologies to Solve Flow Problems Quickly F Abuzaid, S Kandula, B Arzani, I Menache, M Zaharia, P Bailis 18th {USENIX} Symposium on Networked Systems Design and Implementation …, 2021 | 19 | 2021 |
| DIFF: a relational interface for large-scale data explanation F Abuzaid, P Kraft, S Suri, E Gan, E Xu, A Shenoy, A Ananthanarayan, ... The VLDB Journal 30 (1), 45-70, 2021 | 13 | 2021 |
| MacroBase: Prioritizing Attention in Fast Data F Abuzaid, P Bailis, J Ding, E Gan, S Madden, D Narayanan, K Rong, ... ACM Transactions on Database Systems (TODS) 43 (4), 1-45, 2018 | 13 | 2018 |
| Machine Learned Cellular Phenotypes Predict Outcome in Ischemic Cardiomyopathy AJ Rogers, A Selvalingam, MI Alhusseini, DE Krummen, C Corrado, ... Circulation Research, 2020 | 7 | 2020 |
| Machine learning identifies sites where ablation terminates persistent atrial fibrillation M Alhusseini, F Abuzaid, P Clopton, A Rogers, M Rodrigo, T Baykaner, ... Journal of the American College of Cardiology 73 (9S1), 301-301, 2019 | 4 | 2019 |
| Optimizing CPU Performance for Convolutional Neural Networks F Abuzaid URL: http://cs231n. stanford. edu/reports/fabuzaid_final_report. pdf [As of …, 2015 | 4 | 2015 |
| Offshore Wind Energy F Abuzaid PH240, Stanford University, 2010 | 4 | 2010 |
| Don't Give Up on Large Optimization Problems; POP Them! D Narayanan, F Kazhamiaka, F Abuzaid, P Kraft, M Zaharia arXiv preprint arXiv:2104.06513, 2021 | 2 | 2021 |
| Developing Convolutional Neural Networks for Deep Learning of Ventricular Action Potentials to Predict Risk for Ventricular Arrhythmias A Selvalingam, M Alhusseini, AJ Rogers, DE Krummen, FM Abuzaid, ... Circulation 140 (Suppl_1), A14675-A14675, 2019 | 2 | 2019 |
| Sites Where Ablation Terminated Atrial Fibrillation Identified by Machine Learning Models M Alhusseini, F Abuzaid, M Swerdlow, G Meckler, P Clopton, A Rogers, ... Circulation 138 (Suppl_1), A13161-A13161, 2018 | 1 | 2018 |
| PREDICTING SUDDEN CARDIAC DEATH BY MACHINE LEARNING OF VENTRICULAR ACTION POTENTIALS A Selvalingam, M Alhusseini, AJ Rogers, D Krummen, FM Abuzaid, ... Journal of the American College of Cardiology 75 (11_Supplement_1), 427-427, 2020 | | 2020 |
Matei ZahariaStanford DAWN Lab and DatabricksVerified email at cs.stanford.edu
