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Eura Nova RD
Eura Nova

Our mission is to find solutions to current and future ICT challenges with passion, imagination and integrity. We want to make IT a key driver of tomorrow’s society.

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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 ...

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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 ...

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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 ...

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Estimating Expected Calibration Errors

Uncertainty in probabilistic classifiers predictions is a key concern when models are used to support human decision making, in broader ...

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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 ...

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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 ...

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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 ...

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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 ...

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Our research director is co-chair at DEBS 2021 [Call for Paper]

Congratulations to our research director Sabri Skhiri on his appointment as industry co-chair of the international conference on distributed ...

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DMMM: Data Management Maturity Model

The assessment of the digital transformation progress is essential to understand and undertake in order to evaluate the level of maturity of ...

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A Survey of Maturity Models in Data Management

Maturity models are helpful business tools that refine and develop how organizations conduct their businesses and benchmark their maturity ...

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MIC: Multi-view Image Classifier using Generative Adversarial Networks for Missing Data Imputation

In this paper, we propose a framework for image classification tasks, named MIC, that takes as input multi-view images, such as RGB-T images for ...

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