DEBS 2022

In June 2022, our research director Sabri Skhiri and the head of the data science department Madalina Ciortan travelled to Copenhagen to attend DEBS 2022, the leading conference focusing on distributed and event-based systems.

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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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