Jérémy Charlier

22 papers C 1Journal 14Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Similarity-based transfer learning with deep learning networks for accurate CRISPR-Cas9 off-target prediction.
PLoS Comput. Biol.
Jérémy Charlier, Zeinab Sherkatghanad, Vladimir Makarenkov
2023 J jnl
Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review.
Briefings Bioinform.
Zeinab Sherkatghanad, Moloud Abdar, Jérémy Charlier, Vladimir Makarenkov
2021 J jnl
Accurate deep learning off-target prediction with novel sgRNA-DNA sequence encoding in CRISPR-Cas9 gene editing.
Bioinform.
Jérémy Charlier, Robert Nadon, Vladimir Makarenkov
2020 — conf
VecHGrad for Solving Accurately Tensor Decomposition.
Canadian AI
Jérémy Charlier, Vladimir Makarenkov
2020 J jnl
XtracTree for Regulator Validation of Bagging Methods Used in Retail Banking.
CoRR
Jérémy Charlier, Vladimir Makarenkov
2019 J jnl
From Persistent Homology to Reinforcement Learning with Applications for Retail Banking.
CoRR
Jérémy Charlier
2019 J jnl
MQLV: Modified Q-Learning for Vasicek Model.
CoRR
Jérémy Charlier, Gaston Ormazabal, Radu State, Jean Hilger
2019 — conf
MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning.
MIDAS@PKDD
Jérémy Charlier, Gaston Ormazabal, Radu State, Jean Hilger
2019 J jnl
Modeling Smart Contracts Activities: A Tensor Based Approach.
CoRR
Jérémy Charlier, Radu State, Jean Hilger
2019 J jnl
Non-Negative PARATUCK2 Tensor Decomposition Combined to LSTM Network For Smart Contracts Profiling.
CoRR
Jérémy Charlier, Radu State, Jean Hilger
2019 — conf
PHom-GeM: Persistent Homology for Generative Models.
SDS
Jérémy Charlier, Radu State, Jean Hilger
2019 J jnl
PHom-GeM: Persistent Homology for Generative Models.
CoRR
Jérémy Charlier, Radu State, Jean Hilger
2019 J jnl
PHom-WAE: Persitent Homology for Wasserstein Auto-Encoders.
CoRR
Jérémy Charlier, François Petit, Gaston Ormazabal, Radu State, Jean Hilger
2019 — conf
Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment.
Canadian AI
Jérémy Charlier, Radu State, Jean Hilger
2019 J jnl
Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment.
CoRR
Jérémy Charlier, Radu State, Jean Hilger
2019 J jnl
SynGAN: Towards Generating Synthetic Network Attacks using GANs.
CoRR
Jérémy Charlier, Aman Singh, Gaston Ormazabal, Radu State, Henning Schulzrinne
2019 J jnl
User-Device Authentication in Mobile Banking using APHEN for Paratuck2 Tensor Decomposition.
CoRR
Jérémy Charlier, Eric Falk, Radu State, Jean Hilger
2019 J jnl
VecHGrad for solving accurately complex tensor decomposition.
CoRR
Jérémy Charlier, Gaston Ormazabal, Radu State, Jean Hilger
2018 — conf
Non-negative Paratuck2 Tensor Decomposition Combined to LSTM Network for Smart Contracts Profiling.
BigComp
Jérémy Charlier, Radu State, Jean Hilger
2018 — conf
User-Device Authentication in Mobile Banking Using APHEN for Paratuck2 Tensor Decomposition.
ICDM Workshops
Jérémy Charlier, Eric Falk, Radu State, Jean Hilger
2017 — conf
Profiling Smart Contracts Interactions Tensor Decomposition and Graph Mining.
MIDAS@PKDD/ECML
Jérémy Charlier, Sofiane Lagraa, Radu State, Jérôme François
2017 C conf
Your Moves, Your Device: Establishing Behavior Profiles Using Tensors.
ADMA
Eric Falk, Jérémy Charlier, Radu State