Firas Abuzaid
Firas Abuzaid
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
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
228*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
62*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
322018
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale.
F Abuzaid, JK Bradley, FT Liang, A Feng, L Yang, M Zaharia, ...
NIPS, 3810-3818, 2016
212016
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
92018
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
82019
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
52020
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
42018
Offshore Wind Energy
F Abuzaid
PH240, Stanford University, 2010
42010
Machine Learned Cellular Phenotypes Predict Outcome in Ischemic Cardiomyopathy
AJ Rogers, A Selvalingam, MI Alhusseini, DE Krummen, C Corrado, ...
Circulation Research, 2020
32020
Optimizing CPU Performance for Convolutional Neural Networks
F Abuzaid
URL: http://cs231n. stanford. edu/reports/fabuzaid_final_report. pdf [As of …, 2015
22015
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
12021
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
12019
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
12019
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
12018
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
2021
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
Machine Learning of Remodeled Ventricular Action Potentials and Long-Term Follow-Up of Ventricular Arrhythmias
AJ Rogers, M Alhusseini, A Selvalingam, DE Krummen, F Abuzaid, ...
Circulation 140 (Suppl_1), A16231-A16231, 2019
2019
Machine Learning Reveals That Drivers for Persistent Atrial Fibrillation at Termination Sites Show Irregular Rotational Cycles and Domain Size
M Alhusseini, F Abuzaid, M Swerdlow, P Clopton, GL Meckler, NM Maniar, ...
Circulation 138 (Suppl_1), A14493-A14493, 2018
2018
Predicting Academy Award Winners
F Abuzaid, E Cheng, O Odetunde
2014
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Articles 1–20