41 citations · 64 across the 5 of their papers we have counts for
5 papers
DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks
Ishai Rosenberg, Guillaume Sicard, Eli David
In recent years numerous advanced malware, aka advanced persistent threats (APT) are allegedly developed by nation-states. The task of attributing an APT to a specific nation-state…
DeepBrain: Functional Representation of Neural In-Situ Hybridization Images for Gene Ontology Classification Using Deep Convolutional Autoencoders
Ido Cohen, Eli David, Nathan S. Netanyahu +2
This paper presents a novel deep learning-based method for learning a functional representation of mammalian neural images. The method uses a deep convolutional denoising autoencod…
Expert-Driven Genetic Algorithms for Simulating Evaluation Functions
Eli David, Moshe Koppel, Nathan S. Netanyahu
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function's parameters for computer chess. Our results show that using an appropria…
Simulating Human Grandmasters: Evolution and Coevolution of Evaluation Functions
Eli David, H. Jaap van den Herik, Moshe Koppel +1
This paper demonstrates the use of genetic algorithms for evolving a grandmaster-level evaluation function for a chess program. This is achieved by combining supervised and unsuper…
A Two-Phase Genetic Algorithm for Image Registration
Sarit Chicotay, Eli David, Nathan S. Netanyahu
Image Registration (IR) is the process of aligning two (or more) images of the same scene taken at different times, different viewpoints and/or by different sensors. It is an impor…