15 citations · 41 across the 5 of their papers we have counts for
5 papers
Deep Federated Learning for Autonomous Driving
Anh Nguyen, Tuong Do, Minh Tran +5
Autonomous driving is an active research topic in both academia and industry. However, most of the existing solutions focus on improving the accuracy by training learnable models w…
Multiple Meta-model Quantifying for Medical Visual Question Answering
Tuong Do, Binh X. Nguyen, Erman Tjiputra +3
Transfer learning is an important step to extract meaningful features and overcome the data limitation in the medical Visual Question Answering (VQA) task. However, most of the exi…
Adversarial Robustness Toolbox v1.0.0
Maria-Irina Nicolae, Mathieu Sinn, Minh Ngoc Tran +9
Adversarial Robustness Toolbox (ART) is a Python library supporting developers and researchers in defending Machine Learning models (Deep Neural Networks, Gradient Boosted Decision…
Automated Image Data Preprocessing with Deep Reinforcement Learning
Tran Ngoc Minh, Mathieu Sinn, Hoang Thanh Lam +1
Data preparation, i.e. the process of transforming raw data into a format that can be used for training effective machine learning models, is a tedious and time-consuming task. For…
Neural Feature Learning From Relational Database
Hoang Thanh Lam, Tran Ngoc Minh, Mathieu Sinn +2
Feature engineering is one of the most important but most tedious tasks in data science. This work studies automation of feature learning from relational database. We first prove t…