BDA 2023: three accepted papers

The papers

“Computing Generic Abstractions from Application Datasets”
by Nelly Barret, Ioana Manolescu and Prajna Upadhyay

“Evaluating the Factual Faithfulness of Graph-to-Text Generation”
by Kun Zhang, Oana Balalau and Ioana Manolescu

“Scalable Analytics on Multi-Streams Dynamic Graphs”
by Angelos Anadiotis, Muhammad Ghufran Khan and Ioana Manolescu

have been accepted for …

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João Vilela: “Prediction of User Privacy Preferences in Mobile Devices via Federated Learning”

João Vilela will present his work on March 24th at 11:00 AM.

 

The seminar will be online at https://cnrs.zoom.us/j/95711140043?pwd=cWNaaUJYNDh1QWlDajRTRk0xQnVKZz09.

 

Title

Prediction of User Privacy Preferences in Mobile Devices via Federated Learning

Abstract

The pervasiveness of always-connected mobile devices fostered a multitude of applications that provide contextualized services …

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CEDAR short papers in Infox sur Seine

The following short papers have been accepted for publication in the
workshop “Infox sur Seine” (https://scai.sorbonne-universite.fr/public/events/view/64f211536f22860f9666/2):

Oana Balalau, Théo Galizzi, Oana Goga, Roxana Horincar, and Ioana Manolescu:
“Detecting propaganda and its impact on users”

Oana Balalau, Simon Ebel, Théo Galizzi, Ioana Manolescu, Quentin Massonnat, …

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Five CEDAR short papers in Infox sur Seine

The following short papers have been accepted for publication in the
workshop “Infox sur Seine” (https://scai.sorbonne-universite.fr/public/events/view/64f211536f22860f9666/2):

  • Oana Balalau, Théo Galizzi, Oana Goga, Roxana Horincar, and Ioana Manolescu:
    “Detecting propaganda and its impact on users”
  • Oana Balalau, Simon Ebel, Théo Galizzi, Ioana Manolescu, Quentin Massonnat, Antoine …

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Madalina Fiterau: “Extracting Interpretable Models from Structured and Multiresolution Timeseries Data”

Madalina Fiterau will present her work on January 27th at 11AM.

It will be online at https://cnrs.zoom.us/j/92127397588?pwd=UTUzQXRmbDBSQ2hLbEpDSDYrcnVrQT09

 

Title

Extracting Interpretable Models from Structured and Multiresolution Timeseries Data

Abstract

The prevalence of smartphones and wearable devices and the widespread use of electronic health records have led to a …

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