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Category: Data science

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

19.02.2021
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.

MDPI Data Journal, special issue – Paper Submission Opening

26.01.2021
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.

Towards a Continuous Evaluation of Calibration

15.01.2021
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.

Reinforcement Learning Course at ENSI

13.01.2021
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.

Padhoc: a Computational Pipeline for Pathway Reconstruction On The Fly

13.01.2021
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.

2Be3-Net : Combining 2D and 3D convolutional neural networks for 3D PET scans predictions

13.01.2021
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.

Talking Graph Analytics With Students

4.12.2020
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.

INTERNSHIPS 2021

19.11.2020
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 own professional development and for your contribution to the company.

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
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