AMI-Class: Towards a Fully Automated Multi-view Image Classifier
In this paper, we propose an automated framework for multi-view image classification tasks. The proposed framework is able to, all at once, train a model to find a common latent
Category: Data science
Policy-based Automated Compliance Checking
Under the GDPR requirements and privacy-by-design guidelines, access control for personal data should not be limited to a simple role-based scenario. For the processing to be compliant, additional attributes, such
Anomaly Detection: How to Artificially Increase your F1-Score with a Biased Evaluation Protocol
Anomaly detection is a widely explored domain in machine learning. Many models are proposed in the literature, and compared through different metrics measured on various datasets. The most popular metrics
DAEMA: Denoising Autoencoder with Mask Attention
Missing data is a recurrent and challenging problem, especially when using machine learning algorithms for real-world applications. For this reason, missing data imputation has become an active research area, in
Estimating Expected Calibration Errors
Uncertainty in probabilistic classifiers predictions is a key concern when models are used to support human decision making, in broader probabilistic pipelines or when sensitive automatic decisions have to be
10 Papers in 2021
To answer today's problems, our research centre is dedicated to anticipating the challenges that European businesses face. Find out the impacts of our latest published papers.
A Framework Using Contrastive Learning for Classification with Noisy Labels
We propose a framework using contrastive learning as a pre-training task to perform image classification in the presence of noisy labels. Recent strategies, such as pseudo-labelling, sample selection with Gaussian
AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT
This paper explains our participation in task 1of the CASE 2021 shared task. This task is about multilingual event extraction from the news. We focused on sub-task 4, event information
Our Research Director Invited as PC Member at IEEE Big Data
We are very proud of our research director Sabri Skhiri for joining the program committee of IEEE Big Data 2021! He will be the only Belgian and one of the
A Combined Rule-Based and Machine Learning Approach for Automated GDPR Compliance Checking
The General Data Protection Regulation (GDPR) requires data controllers to implement end-to-end compliance. Controllers must therefore ensure that the terms agreed with the data subject and their own obligations under