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 GDPR are respected in the data flows from data subject to controllers, processors and sub-processors (i.e. data supply chain).
Continue readingMIC: 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 surveillance purposes. We combine auto-encoder and generative adversarial network architectures to ensure the multi-view embedding in a common latent space.
Continue readingMDPI Data Journal, special issue – Paper Submission Opening
After the success of five international workshops co-located at IEEE Big Data, the MDPI Data Journal is dedicating a special issue to real-time stream analytics, stream mining, CER/CEP and stream data management in big data.
Continue readingTowards a Continuous Evaluation of Calibration
For safety-critical systems involving AI components (such as in planes, cars, or healthcare), safety and associated certification tasks are one of the main challenges, which can become costly and difficult to address.
One key aspect is to ensure that the decisions a machine-learning classifier makes are properly calibrated.
Continue readingReinforcement Learning Course at ENSI
Reinforcement learning is one of the most active research areas in artificial intelligence and applies to a wide range of use cases in different sectors. To provide students with the skills needed in a transforming AI landscape, the ENSI school invited us to give a course on the subject.
Continue readingPadhoc: a Computational Pipeline for Pathway Reconstruction On The Fly
Molecular pathway databases represent cellular processes in a structured and standardized way. These databases support the community-wide utilization of pathway information in biological research and the computational analysis of high-throughput biochemical data. We present Padhoc, a pipeline for pathway ad hoc reconstruction.
Continue reading2Be3-Net : Combining 2D and 3D convolutional neural networks for 3D PET scans predictions
Radiomics is the main approach used to develop predictive models based on 3D Positron Emission Tomography (PET) scans of patients suffering from cancer. We propose a deep learning architecture associating a 2D feature extractor to a 3D CNN predictor.
Continue readingTalking Graph Analytics With Students
Last Saturday, our Tunisian team Safa, Ichraf Hamza and Amine took part in the ENSI (Ecole Nationale des Sciences de l’Informatique) virtual forum to share their experience and meet the students! Our graph specialist Amine Ghrab talked to students about the power of graph analytics.
Continue readingINTERNSHIPS 2021
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 own professional development and for your contribution to the company.
Continue readingMASTER THESIS & PFE 2021
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!
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