Jérémy Charlier

According to our database, Jérémy Charlier authored at least 17 papers between 2017 and 2023.

Collaborative distances:

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

2023

Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review.

Zeinab Sherkatghanad, Moloud Abdar, Jérémy Charlier, Vladimir Makarenkov

Briefings Bioinform., May, 2023

2021

Accurate deep learning off-target prediction with novel sgRNA-DNA sequence encoding in CRISPR-Cas9 gene editing.

Jérémy Charlier, Robert Nadon, Vladimir Makarenkov

Bioinform., 2021

2020

XtracTree for Regulator Validation of Bagging Methods Used in Retail Banking.

Jérémy Charlier, Vladimir Makarenkov

CoRR, 2020

VecHGrad for Solving Accurately Tensor Decomposition.

Jérémy Charlier, Vladimir Makarenkov

Proceedings of the Advances in Artificial Intelligence, 2020

2019

From Persistent Homology to Reinforcement Learning with Applications for Retail Banking.

Jérémy Charlier

CoRR, 2019

SynGAN: Towards Generating Synthetic Network Attacks using GANs.

Jérémy Charlier, Aman Singh, Gaston Ormazabal, Radu State, Henning Schulzrinne

CoRR, 2019

PHom-WAE: Persitent Homology for Wasserstein Auto-Encoders.

Jérémy Charlier, François Petit, Gaston Ormazabal, Radu State, Jean Hilger

CoRR, 2019

MQLV: Modified Q-Learning for Vasicek Model.

Jérémy Charlier, Gaston Ormazabal, Radu State, Jean Hilger

CoRR, 2019

VecHGrad for solving accurately complex tensor decomposition.

Jérémy Charlier, Gaston Ormazabal, Radu State, Jean Hilger

CoRR, 2019

Modeling Smart Contracts Activities: A Tensor Based Approach.

Jérémy Charlier, Radu State, Jean Hilger

CoRR, 2019

PHom-GeM: Persistent Homology for Generative Models.

Jérémy Charlier, Radu State, Jean Hilger

Proceedings of the 6th Swiss Conference on Data Science, 2019

MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning.

Jérémy Charlier, Gaston Ormazabal, Radu State, Jean Hilger

Proceedings of the Mining Data for Financial Applications - 4th ECML PKDD Workshop, 2019

Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment.

Jérémy Charlier, Radu State, Jean Hilger

Proceedings of the Advances in Artificial Intelligence, 2019

2018

User-Device Authentication in Mobile Banking Using APHEN for Paratuck2 Tensor Decomposition.

Jérémy Charlier, Eric Falk, Radu State, Jean Hilger

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Non-negative Paratuck2 Tensor Decomposition Combined to LSTM Network for Smart Contracts Profiling.

Jérémy Charlier, Radu State, Jean Hilger

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017

Profiling Smart Contracts Interactions Tensor Decomposition and Graph Mining.

Jérémy Charlier, Sofiane Lagraa, Radu State, Jérôme François

Proceedings of the Second Workshop on MIning DAta for financial applicationS (MIDAS 2017) co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 2017

Your Moves, Your Device: Establishing Behavior Profiles Using Tensors.

Eric Falk, Jérémy Charlier, Radu State

Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017