Nicolas Jung

According to our database, Nicolas Jung authored at least 5 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

selectBoost: a general algorithm to enhance the performance of variable selection methods.

Frédéric Bertrand, Ismaïl Aouadi, Nicolas Jung, Raphael Carapito, Laurent Vallat, Seiamak Bahram, Myriam Maumy-Bertrand

Bioinform., 2021

2020

High-Performance Virus Detection System by using Deep Learning.

Ying-Feng Hsu, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Deep Learning Approach for Pathogen Detection Through Shotgun Metagenomics Sequence Classification.

Ying-Feng Hsu, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura

Proceedings of the Artificial Intelligence in Medicine, 2019

2018

A High-Performance Sequence Analysis Engine for Shotgun Metagenomics through GPU Acceleration.

Ying-Feng Hsu, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura

Proceedings of the 18th IEEE International Conference on Bioinformatics and Bioengineering, 2018

2014

Cascade: a R package to study, predict and simulate the diffusion of a signal through a temporal gene network.

Nicolas Jung, Frédéric Bertrand, Seiamak Bahram, Laurent Vallat, Myriam Maumy-Bertrand

Bioinform., 2014