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Category: Data science

MASTER THESIS & PFE 2021

19.11.2020
This document introduces you to master thesis and graduation projects supervised by our research & development department. Each project offers you the chance to be actively involved in the development of solutions to address tomorrow’s challenges in ICT and implementing them today!

ECML 2020 – The Keynotes

5.11.2020
A few weeks ago, the biggest European conference on machine learning was held: ECML 2020. Our research engineer Nourchène, our R&D consultant Gianmarco, and our data scientist Ronan attended the event from Tunisia, Belgium and

ECML 2020 – A Summary

5.11.2020
A few weeks ago, the biggest European conference on machine learning was held: ECML 2020. Our research engineer Nourchène, our R&D consultant Gianmarco, and our data scientist Ronan attended the

Privacy Policy Classification with XLNet

24.08.2020
The popularisation of privacy policies has become an attractive subject of research in recent years, notably after the General Data Protection Regulation came into force in the European Union. While GDPR gives Data Subjects more rights and control over the use of their personal data, length and complexity of privacy policies can still prevent them from exercising those rights. An accepted way to improve the interpretability of privacy policies is...

Towards Privacy Policy Conceptual Modeling

21.08.2020
After GDPR enforcement in May 2018, the problem of implementing privacy by design and staying compliant with regulations has been more prominent than ever for businesses of all sizes, which is evident from frequent cases against companies and significant fines paid due to non-compliance. Consequently, numerous research works have been emerging in this area....

Applying Machine Learning Modeling to Enhance Runway Throughput at A Big European Airport

10.08.2020
One of the factors limiting busiest airport’s runway throughput capacity is the spacing to be applied between landing aircraft in order to ensure that the runway is vacated when the

Pruning Random Forest with Orthogonal Matching Trees

24.07.2020
In this paper we propose a new method to reduce the size of Breiman’s Random Forests. Given a RandomForest and a target size, our algorithm builds a linear combination of

Multilingual Enrichment of Disease Biomedical Ontologies

24.07.2020
Translating biomedical ontologies is an important challenge, but doing it manually requires much time and money. We study the possibility to use open-source knowledge bases to translate biomedical ontologies. We

Internships 2020

5.06.2020
This document presents internships supervised by our software engineering department or by our research & development department. Each project is an opportunity to feel both empowered and responsible for your

TopoGraph: an End-To-End Framework to Build and Analyze Graph Cubes

30.03.2020
Graphs are a fundamental structure that provides an intuitive abstraction for modelling and analyzing complex and highly interconnected data. Given the potential complexity of such data, some approaches proposed extending
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