most citedNatural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection

4 citations · 4 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV20204 cited

Natural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection

Ismat Ara Reshma, Sylvain Cussat-Blanc, Radu Tudor Ionescu +2

The class distribution of data is one of the factors that regulates the performance of machine learning models. However, investigations on the impact of different distributions ava…

cs.NE2018

Neuromodulated Learning in Deep Neural Networks

Dennis G Wilson, Sylvain Cussat-Blanc, Hervé Luga +1

In the brain, learning signals change over time and synaptic location, and are applied based on the learning history at the synapse, in the complex process of neuromodulation. Lear…

cs.NE2018

Positional Cartesian Genetic Programming

DG Wilson, Julian F. Miller, Sylvain Cussat-Blanc +1

Cartesian Genetic Programming (CGP) has many modifications across a variety of implementations, such as recursive connections and node weights. Alternative genetic operators have a…

cs.NE2018

Evolving Differentiable Gene Regulatory Networks

Dennis G Wilson, Kyle Harrington, Sylvain Cussat-Blanc +1

Over the past twenty years, artificial Gene Regulatory Networks (GRNs) have shown their capacity to solve real-world problems in various domains such as agent control, signal proce…

cs.NE2018

Evolving simple programs for playing Atari games

Dennis G Wilson, Sylvain Cussat-Blanc, Hervé Luga +1

Cartesian Genetic Programming (CGP) has previously shown capabilities in image processing tasks by evolving programs with a function set specialized for computer vision. A similar…