Supervised Detection of Infected Machines Using Anti-virus Induced Labels - (Extended Abstract). - Tomer Cohen; Danny Hendler; Dennis Potashnik (CSCML, 2017)

FaaStest - Machine Learning Based Cost and Performance FaaS Optimization. - Shay Horovitz; Roei Amos; Ohad Baruch; Tomer Cohen; Tal Oyar; Afik Deri (GECON, 2018)

Bidirectional One-Shot Unsupervised Domain Mapping. - Tomer Cohen; Lior Wolf (ICCV, 2019)

Classification of Ground Moving Radar Targets with RBF Neural Networks. - Eran Notkin; Tomer Cohen; Akiva Novoselsky (ICPRAM, 2019)

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)

Self-Supervised Dynamic Networks for Covariate Shift Robustness. - Tomer Cohen; Noy Shulman; Hai Morgenstern; Roey Mechrez; Erez Farhan (CoRR, 2020)

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)

Optimizing the Decoding Probability and Coverage Ratio of Composite DNA. - Tomer Cohen; Eitan Yaakobi (ISIT, 2024)

ContactNet: Geometric-Based Deep Learning Model for Predicting Protein-Protein Interactions. - Matan Halfon; Tomer Cohen; Raanan Fattal; Dina Schneidman-Duhovny (CoRR, 2024)

Improved approximation for two-dimensional vector multiple knapsack. - Tomer Cohen; Ariel Kulik; Hadas Shachnai (Comput. Geom., 2025)