2 citations · 3 across the 4 of their papers we have counts for
4 papers
Geometric Mode-Selection Scores for Delay-Coordinates Dynamic Mode Decomposition
Yoav Harris, Hadas Benisty, Ronen Talmon
Delay-coordinates dynamic mode decomposition (DC-DMD) is widely used to extract coherent spatiotemporal modes from high-dimensional time series. A central challenge is distinguishi…
Unsupervised Feature Selection Through Group Discovery
Shira Lifshitz, Ofir Lindenbaum, Gal Mishne +2
Unsupervised feature selection (FS) is essential for high-dimensional learning tasks where labels are not available. It helps reduce noise, improve generalization, and enhance inte…
Contextual Feature Selection with Conditional Stochastic Gates
Ram Dyuthi Sristi, Ofir Lindenbaum, Shira Lifshitz +4
Feature selection is a crucial tool in machine learning and is widely applied across various scientific disciplines. Traditional supervised methods generally identify a universal s…
Data Processing of Functional Optical Microscopy for Neuroscience
Hadas Benisty, Alexander Song, Gal Mishne +1
Functional optical imaging in neuroscience is rapidly growing with the development of new optical systems and fluorescence indicators. To realize the potential of these massive spa…