A unified scheme for generalizing cardinality estimators to sum aggregation. - Reuven Cohen; Liran Katzir 001; Aviv Yehezkel (Inf. Process. Lett., 2015)

MTS Sketch for Accurate Estimation of Set-Expression Cardinalities from Small Samples. - Reuven Cohen; Liran Katzir 001; Aviv Yehezkel (CoRR, 2016)

A Minimal Variance Estimator for the Cardinality of Big Data Set Intersection. - Reuven Cohen; Liran Katzir 001; Aviv Yehezkel (KDD, 2017)

Cardinality Estimation Meets Good-Turing. - Reuven Cohen; Liran Katzir 001; Aviv Yehezkel (Big Data Res., 2017)

Generalizations of the Cardinality Estimation Problem and Applications to Computer Networks. - Aviv Yehezkel (2017)

Network Anomaly Detection Using Transfer Learning Based on Auto-Encoders Loss Normalization. - Aviv Yehezkel; Eyal Elyashiv; Or Soffer (AISec@CCS, 2021)

Efficient Service Chain Verification Using Sketches and Small Samples. - Reuven Cohen; Liran Katzir 001; Aviv Yehezkel (NFV-SDN, 2021)

A GNN-based Approach for Detecting Network Anomalies from Small Traffic Samples. - Aviv Yehezkel; Eyal Elyashiv (IEEE Big Data, 2022)

Using CFN for Uniform Sampling of Cloud-Native Datacenters. - Aviv Yehezkel; Eyal Elyashiv; Sharon Barkai (CCNC, 2022)

Improving Neural Networks Dropout Using An Enhanced Weights Scaling. - Aviv Yehezkel (IEEE Big Data, 2024)

Towards a Global Anomaly Detector in High-speed Networks Where Traffic Sampling is a Necessity. - Aviv Yehezkel; Eldad Ohayon; Eyal Elyashiv (IEEE Big Data, 2024)

Efficient Random Sampling from Very Large Databases. - Idan Cohen; Aviv Yehezkel; Zohar Yakhini (DEXA (1), 2024)

An Efficient Approach for Enhancing GenAI Trustworthiness. - Aviv Yehezkel (ICMLA, 2024)

Finding an Optimal Small Sample of Training Dataset for Computer Vision Deep-Learning Models. - Aviv Yehezkel; Eyal Elyashiv (ICMLA, 2024)

GREG: Emotion-Based Transfer Learning to Generate Robotic Non-verbal Social Gestures. - Idan Dov Vidra; Aviv Yehezkel; Udi Lumnitz; Hadas Erel; Oren Zuckerman; Ariel Shamir (HCI (66), 2025)