105 citations · 501 across the 65 of their papers we have counts for
4 papers · 1 filter
Cross Version Defect Prediction with Class Dependency Embeddings
Moti Cohen, Lior Rokach, Rami Puzis
Software Defect Prediction aims at predicting which software modules are the most probable to contain defects. The idea behind this approach is to save time during the development…
Transfer learning for time series classification using synthetic data generation
Yarden Rotem, Nathaniel Shimoni, Lior Rokach +1
In this paper, we propose an innovative Transfer learning for Time series classification method. Instead of using an existing dataset from the UCR archive as the source dataset, we…
A Universal Adversarial Policy for Text Classifiers
Gallil Maimon, Lior Rokach
Discovering the existence of universal adversarial perturbations had large theoretical and practical impacts on the field of adversarial learning. In the text domain, most universa…
Deepchecks: A Library for Testing and Validating Machine Learning Models and Data
Shir Chorev, Philip Tannor, Dan Ben Israel +7
This paper presents Deepchecks, a Python library for comprehensively validating machine learning models and data. Our goal is to provide an easy-to-use library comprising of many c…