no code implementations • 29 May 2018 • Alon Hazan, Yoel Shoshan, Daniel Khapun, Roy Aladjem, Vadim Ratner
Deep neural networks have demonstrated impressive performance in various machine learning tasks.
no code implementations • 30 May 2018 • Vadim Ratner, Yoel Shoshan, Tal Kachman
Medical image classification involves thresholding of labels that represent malignancy risk levels.
no code implementations • 18 Nov 2018 • Yoel Shoshan, Vadim Ratner
In recent years, several methods for model interpretability have been developed, aiming to provide explanation of which subset regions of the model input is the main reason for the model prediction.
no code implementations • 30 Jan 2024 • Alex Golts, Vadim Ratner, Yoel Shoshan, Moshe Raboh, Sagi Polaczek, Michal Ozery-Flato, Daniel Shats, Liam Hazan, Sivan Ravid, Efrat Hexter
In this paper we propose a way to standardize and represent efficiently a very large dataset curated from multiple public sources, split the data into train, validation and test sets based on different meaningful strategies, and provide a concrete evaluation protocol to accomplish a benchmark.