Search Results for author:
Found 10 papers, 2 papers with code
Accurate deep learning off-target prediction with novel sgRNA-DNA sequence encoding in CRISPR-Cas9 gene editing
Results: In our experiments, we compare the proposed sgRNA-DNA sequence encoding applied in a deep learning prediction framework with state-of-the-art encoding and prediction methods.
XtracTree: a Simple and Effective Method for Regulator Validation of Bagging Methods Used in Retail Banking
An ensemble method is a ML method that combines multiple hypotheses to form a single hypothesis used for prediction.
From Persistent Homology to Reinforcement Learning with Applications for Retail Banking
The retail banking services are one of the pillars of the modern economic growth.
SynGAN: Towards Generating Synthetic Network Attacks using GANs
SynGAN generates malicious packet flow mutations using real attack traffic, which can improve NIDS attack detection rates.
Visualization of AE's Training on Credit Card Transactions with Persistent Homology
PHom-WAE minimizes the Wasserstein distance between the true distribution and the reconstructed distribution and uses persistent homology, the study of the topological features of a space at different spatial resolutions, to compare the nature of the latent manifold and the reconstructed distribution.
MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning
We propose MQLV, Modified Q-Learner for the Vasicek model, a new reinforcement learning approach that determines the optimal policy of money management based on the aggregated financial transactions of the clients.
VecHGrad for Solving Accurately Complex Tensor Decomposition
Our experiments on five real-world data sets with the state-of-the-art deep learning gradient optimization models show that VecHGrad is capable of converging considerably faster because of its superior theoretical convergence rate per step.
User-Device Authentication in Mobile Banking using APHEN for Paratuck2 Tensor Decomposition
Nonetheless, the retail banks are looking to leverage the user-device authentication on the mobile banking applications to enhance the personal financial advertisement.
Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment
The digital revolution of the banking system with evolving European regulations have pushed the major banking actors to innovate by a newly use of their clients' digital information.
PHom-GeM: Persistent Homology for Generative Models
PHom-GeM minimizes an objective function between the true and the reconstructed distributions and uses persistent homology, the study of the topological features of a space at different spatial resolutions, to compare the nature of the true and the generated distributions.
