Aviv Yehezkel

According to our database, Aviv Yehezkel authored at least 15 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

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

Proceedings of the HCI International 2025 Posters, 2025

2024

Finding an Optimal Small Sample of Training Dataset for Computer Vision Deep-Learning Models.

Aviv Yehezkel, Eyal Elyashiv

Proceedings of the International Conference on Machine Learning and Applications, 2024

An Efficient Approach for Enhancing GenAI Trustworthiness.

Aviv Yehezkel

Proceedings of the International Conference on Machine Learning and Applications, 2024

Efficient Random Sampling from Very Large Databases.

Idan Cohen, Aviv Yehezkel, Zohar Yakhini

Proceedings of the Database and Expert Systems Applications, 2024

Towards a Global Anomaly Detector in High-speed Networks Where Traffic Sampling is a Necessity.

Aviv Yehezkel, Eldad Ohayon, Eyal Elyashiv

Proceedings of the IEEE International Conference on Big Data, 2024

Improving Neural Networks Dropout Using An Enhanced Weights Scaling.

Aviv Yehezkel

Proceedings of the IEEE International Conference on Big Data, 2024

2022

Using CFN for Uniform Sampling of Cloud-Native Datacenters.

Aviv Yehezkel, Eyal Elyashiv, Sharon Barkai

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

A GNN-based Approach for Detecting Network Anomalies from Small Traffic Samples.

Aviv Yehezkel, Eyal Elyashiv

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Efficient Service Chain Verification Using Sketches and Small Samples.

Reuven Cohen, Liran Katzir, Aviv Yehezkel

Proceedings of the 2021 IEEE Conference on Network Function Virtualization and Software Defined Networks, 2021

Network Anomaly Detection Using Transfer Learning Based on Auto-Encoders Loss Normalization.

Aviv Yehezkel, Eyal Elyashiv, Or Soffer

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

2017

Generalizations of the Cardinality Estimation Problem and Applications to Computer Networks.

Aviv Yehezkel

PhD thesis, 2017

Cardinality Estimation Meets Good-Turing.

Reuven Cohen, Liran Katzir, Aviv Yehezkel

Big Data Res., 2017

A Minimal Variance Estimator for the Cardinality of Big Data Set Intersection.

Reuven Cohen, Liran Katzir, Aviv Yehezkel

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

MTS Sketch for Accurate Estimation of Set-Expression Cardinalities from Small Samples.

Reuven Cohen, Liran Katzir, Aviv Yehezkel

CoRR, 2016

2015

A unified scheme for generalizing cardinality estimators to sum aggregation.

Reuven Cohen, Liran Katzir, Aviv Yehezkel

Inf. Process. Lett., 2015