most citedData Augmentation for Deep Learning Regression Tasks by Machine Learning Models

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.IR2025

NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings

Or Shachar, Uri Katz, Yoav Goldberg +1

We present NER Retriever, a zero-shot retrieval framework for ad-hoc Named Entity Retrieval, a variant of Named Entity Recognition (NER), where the types of interest are not provid…

cs.LG2025★ 1 cited

Data Augmentation for Deep Learning Regression Tasks by Machine Learning Models

Assaf Shmuel, Oren Glickman, Teddy Lazebnik

Deep learning (DL) models have gained prominence in domains such as computer vision and natural language processing but remain underutilized for regression tasks involving tabular…

cs.LG2024

Global Lightning-Ignited Wildfires Prediction and Climate Change Projections based on Explainable Machine Learning Models

Assaf Shmuel, Teddy Lazebnik, Oren Glickman +2

Wildfires pose a significant natural disaster risk to populations and contribute to accelerated climate change. As wildfires are also affected by climate change, extreme wildfires…