2k citations · 2.1k across the 28 of their papers we have counts for
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Modeling the Intra-class Variability for Liver Lesion Detection using a Multi-class Patch-based CNN
Maayan Frid-Adar, Idit Diamant, Eyal Klang +3
Automatic detection of liver lesions in CT images poses a great challenge for researchers. In this work we present a deep learning approach that models explicitly the variability w…
A Simple Language Model based on PMI Matrix Approximations
Oren Melamud, Ido Dagan, Jacob Goldberger
In this study, we introduce a new approach for learning language models by training them to estimate word-context pointwise mutual information (PMI), and then deriving the desired…
Large-Scale Classification of Structured Objects using a CRF with Deep Class Embedding
Eran Goldman, Jacob Goldberger
This paper presents a novel deep learning architecture to classify structured objects in datasets with a large number of visually similar categories. We model sequences of images a…
Speech Enhancement using a Deep Mixture of Experts
Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot
In this study we present a Deep Mixture of Experts (DMoE) neural-network architecture for single microphone speech enhancement. By contrast to most speech enhancement algorithms th…