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Aviv Yehezkel
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2020 – today
- 2024
- [c6]Idan Cohen, Aviv Yehezkel, Zohar Yakhini:
Efficient Random Sampling from Very Large Databases. DEXA (1) 2024: 124-138 - 2022
- [c5]Aviv Yehezkel, Eyal Elyashiv:
A GNN-based Approach for Detecting Network Anomalies from Small Traffic Samples. IEEE Big Data 2022: 6838-6840 - [c4]Aviv Yehezkel, Eyal Elyashiv, Sharon Barkai:
Using CFN for Uniform Sampling of Cloud-Native Datacenters. CCNC 2022: 967-968 - 2021
- [c3]Aviv Yehezkel, Eyal Elyashiv, Or Soffer:
Network Anomaly Detection Using Transfer Learning Based on Auto-Encoders Loss Normalization. AISec@CCS 2021: 61-71 - [c2]Reuven Cohen, Liran Katzir, Aviv Yehezkel:
Efficient Service Chain Verification Using Sketches and Small Samples. NFV-SDN 2021: 1-7
2010 – 2019
- 2017
- [b1]Aviv Yehezkel:
Generalizations of the Cardinality Estimation Problem and Applications to Computer Networks. Technion - Israel Institute of Technology, Israel, 2017 - [j2]Reuven Cohen, Liran Katzir, Aviv Yehezkel:
Cardinality Estimation Meets Good-Turing. Big Data Res. 9: 1-8 (2017) - [c1]Reuven Cohen, Liran Katzir, Aviv Yehezkel:
A Minimal Variance Estimator for the Cardinality of Big Data Set Intersection. KDD 2017: 95-103 - 2016
- [i3]Reuven Cohen, Liran Katzir, Aviv Yehezkel:
A Minimal Variance Estimator for the Cardinality of Big Data Set Intersection. CoRR abs/1606.00996 (2016) - [i2]Reuven Cohen, Liran Katzir, Aviv Yehezkel:
MTS Sketch for Accurate Estimation of Set-Expression Cardinalities from Small Samples. CoRR abs/1611.01853 (2016) - 2015
- [j1]Reuven Cohen, Liran Katzir, Aviv Yehezkel:
A unified scheme for generalizing cardinality estimators to sum aggregation. Inf. Process. Lett. 115(2): 336-342 (2015) - [i1]Reuven Cohen, Liran Katzir, Aviv Yehezkel:
Cardinality Estimation Meets Good-Turing. CoRR abs/1508.06216 (2015)
Coauthor Index
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last updated on 2024-08-29 21:52 CEST by the dblp team
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