Tomer Cohen

According to our database, Tomer Cohen authored at least 10 papers between 2017 and 2024.

Collaborative distances:

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

2024

ContactNet: Geometric-Based Deep Learning Model for Predicting Protein-Protein Interactions.

Matan Halfon, Tomer Cohen, Raanan Fattal, Dina Schneidman-Duhovny

CoRR, 2024

Optimizing the Decoding Probability and Coverage Ratio of Composite DNA.

Tomer Cohen, Eitan Yaakobi

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

Improved Approximation for Two-Dimensional Vector Multiple Knapsack.

Tomer Cohen, Ariel Kulik, Hadas Shachnai

Proceedings of the 34th International Symposium on Algorithms and Computation, 2023

2021

Refresh Algorithm for Ensuring 100% Memory Availability in Gain-Cell Embedded DRAM Macros.

Roman Golman, Netanel Nachum, Tomer Cohen, Robert Giterman, Adam Teman

IEEE Access, 2021

2020

Self-Supervised Dynamic Networks for Covariate Shift Robustness.

Tomer Cohen, Noy Shulman, Hai Morgenstern, Roey Mechrez, Erez Farhan

CoRR, 2020

A combination of 'pooling' with a prediction model can reduce by 73% the number of COVID-19 (Corona-virus) tests.

Tomer Cohen, Lior Finkelman, Gal Grimberg, Gadi Shenhar, Ofer Strichman, Yonatan Strichman, Stav Yeger

CoRR, 2020

2019

Classification of Ground Moving Radar Targets with RBF Neural Networks.

Eran Notkin, Tomer Cohen, Akiva Novoselsky

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Bidirectional One-Shot Unsupervised Domain Mapping.

Tomer Cohen, Lior Wolf

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

FaaStest - Machine Learning Based Cost and Performance FaaS Optimization.

Shay Horovitz, Roei Amos, Ohad Baruch, Tomer Cohen, Tal Oyar, Afik Deri

Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2018

2017

Supervised Detection of Infected Machines Using Anti-virus Induced Labels - (Extended Abstract).

Tomer Cohen, Danny Hendler, Dennis Potashnik

Proceedings of the Cyber Security Cryptography and Machine Learning, 2017