Calibrate to Interpret

Trustworthy machine learning is driving a large number of the ML community works in order to improve ML acceptance and adoption. In this paper, we show a first link between uncertainty and explainability, by studying the relation between calibration and interpretation.

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Automatic Parameter Tuning for Big Data Pipelines

Big data frameworks generally constitute a pipeline, each having a different role. This makes tuning big data pipelines an important yet difficult task given the size of the search space. We propose to use a deep reinforcement learning algorithm to tune a fraud detection big data pipeline.

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Discover Our Trainings

To share our technological knowledge with our academic and business partners and our customers, we propose tailor-made practical or applied workshops. We challenge our trainees’ everyday experiences with emerging digital opportunities. Our experts share their leading-edge knowledge and experiences with your teams.

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15 Papers in 2021: the outputs

The only way to master knowledge is to explore and enrich it. As we look back on the year 2021, we are proud to say that our R&D department has published 15 peer-reviewed scientific papers this year. Find out the impacts of the published papers in our new article.

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INTERNSHIPS 2022

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.

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