Eyal Mazuz

According to our database, Eyal Mazuz authored at least 5 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Improving Pricing Recommendations Using Nearest Neighbors Retrieval Via Contrastive Learning and Hard Negatives Mining.

Eyal Mazuz, Gilad Fuchs, Alexander Nus, Lior Rokach, Bracha Shapira

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track, 2025

2024

Eravacycline, an antibacterial drug, repurposed for pancreatic cancer therapy: insights from a molecular-based deep learning model.

Adi Jabarin, Guy Shtar, Valeria Feinshtein, Eyal Mazuz, Bracha Shapira, Shimon Ben-Shabat, Lior Rokach

Briefings Bioinform., 2024

2023

Pretrained transformer models for predicting the withdrawal of drugs from the market.

Eyal Mazuz, Guy Shtar, Nir Kutsky, Lior Rokach, Bracha Shapira

Bioinform., August, 2023

2022

Predicting drug characteristics using biomedical text embedding.

Guy Shtar, Asnat Greenstein-Messica, Eyal Mazuz, Lior Rokach, Bracha Shapira

BMC Bioinform., December, 2022

2020

Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate.

Amit Livne, Roy Dor, Eyal Mazuz, Tamar Didi, Bracha Shapira, Lior Rokach

CoRR, 2020