Annual CDS Pitching Day

Liste des Contributions

22. Introduction

Balázs Kégl (LAL)

08/11/2017 09:50

Session 1

19. Innovative meta-model construction techniques for electro-nuclear scenarios simulation

Marc Ernoult (IPNO)

08/11/2017 10:00

Session 1

Future of nuclear energy is very uncertain and actively discussed. To support these discussions and allows the choices to be informed, we need to simulate electro-nuclear scenarios with high level of precision. I will present the process used to simulate such scenarios and described the two key model needed : irradiation model and fuel creation model. For each of these two models, I will...

20. Flexible and Adaptive Data Acquisition

Bernard Genolini (IPN Orsay)

08/11/2017 10:20

Session 1

We investigate the possibility of flexible and adaptive settings of data acquisition for nuclear physics experiments(gamma-ray spectroscopy). The goal is to adapt rapidly the event selection settings for up to a few hundred detectors, knowing that the configuration changes with the experimental setup and that the behaviour of the electronics changes with the experimental conditions: we need to...

21. Tracking Machine Learning Challenge

Dr David Rousseau (ATLAS)

08/11/2017 10:40

Session 1

The Large Hadron Collider at CERN, where the Higgs boson has been discovered, is poised for a major upgrade for possible discovery of new particles, super-symmetric particles, dark matter or signs of extra-dimensions of space. The increase in yearly number of proton collisions recorded comes at a cost of a large increase of the recorded event complexity. Preliminary studies show that...

23. RAMP on detecting Mars craters in satellite images

Joris Van den Bossche (INRIA)

08/11/2017 11:20

Session 2

Impact craters in planetary science are used to date and characterize planetary surfaces and study the geological history of planets. It is therefore an important task which traditionally has been achieved by means of visual inspection of images. This talk will present a currently ongoing RAMP challenge with the goal to predict the location and size of craters on Mars based on a satellite...

24. Galaxy morphologies and deblending

Alexandre Boucaud (LAL)

08/11/2017 11:40

Session 2

Current and future generation of large scale astronomical surveys will have to deal with an increasing number of crowded fields due to their sensitivity. In such fields, a high number of objects (mostly galaxies) are "blended" together, which poses a challenge in terms of photometry (measure of individual fluxes) and morphology (shape measurements), both heavily related to the main science...

25. Fake News Detection

Emanuela Boros (CEA, LIST, Laboratoire Vision et Ingénierie des Contenus)

08/11/2017 12:00

Session 2

Recently, there is a new phenomena of fake news and alternative facts. No one deliberately and consciously desires false information but paradoxically, people pervasively consume fake information. It is essential to restore people's confidence in reliable, fact-checking sources, and reduce media bias whether perceived or real. We believe that exploring artificial intelligence technologies...

26. Decoding and recoding wall turbulence

Srikanth Muralidhar (limsi)

08/11/2017 12:40

Session 2

Study of turbulence using numerical tools such as Direct Numerical Simulations, Large Eddy Simulations, etc.
leads to an analysis of large amount of data to discover the underlying physical mechanisms. Estimation of a
turbulent flow using few sensor measurements is yet another important problem in fluid mechanics, which also
involves big data analysis. In this project, we analyze turbulent...

27. Switching from Matlab to Python

Sana Tfaili (Lip(Sys)², UFR Pharmacie, Université Paris Sud)

08/11/2017 14:00

Session 3

Atherosclerosis is an inflammatory disease of the arterial wall caused by the formation of an atheroma plaque in the vessels wall. Data analysis of single point spectra and images led to the identification of some spectral changes due to the murine macrophages J774 enrichment with fatty acids. Data processing was held using Matlab environment and we are looking to re-process this dataset in...

28. Ranking Big Data Sets using Rank Aggregation Techniques

Dr Sarah Cohen-Boulakia (Laboratoire de Recherche en Informatique)

08/11/2017 14:20

Session 3

The aim of (scientific) data ranking is to help users choose between alternative pieces of information especially when they are faced with huge amounts of data. However, ranking scientific data is a difficult task: various alternative quality criteria can be defined to order data items, depending on the data origin or even the way data have been obtained. As a consequence, it is very difficult...

29. Calcium rhythms, Algorithms and markers of the culture media impact during fertilization

Corinne Cotinot (INRA)

08/11/2017 14:40

Session 3

During fertilization in mammals, the egg emits a series of calcium oscillations that are specific to each individual and whose frequency and amplitude are modulated by the culture medium in which it is cultured. We have developed advanced microfluidic techniques to record, stimulate and analyze the calcium response during the first hours of in-vitro fertilization (IVF) and have hundreds of...

30. Learning and Image Processing

Alain Trubuil (INRA)

08/11/2017 15:00

Session 3

INRA/MaIAGE and INRA/BDR join their efforts to create efficient software for the early evaluation of embryo viability from time-lapse observation of embryos. Specifically, we are investigating the early development of bovine embryo which can be observed in 2D+Time light microscopy at different stages of the development. We have a database of hundreds of expert annotated embryos. More than one...

31. RAMP on predicting autism from resting-state functional MRI and anatomical MRI

Guillaume Lemaitre (INRIA)

08/11/2017 15:20

Session 3

This talk will present the ongoing preparation of a RAMP aiming at distinguishing subjects with Autism Spectrum Disorder (ASD) from typical control subjects. This analysis will use the Autism Brain Imaging Data Exchange (ABIDE I & II) database and data from Robert Debre Hospital based on R-fMRI and anatomical MRI. We will particularly focus on presenting the problematic, the typical pipeline...

32. End-to-end Deep Learning Approach for Demographic History Inference

Theophile Sanchez (LRI)

08/11/2017 16:00

Session 4

Recent methods for demographic history inference have achieved good results, circumventing the complexity of raw genomic data by summarizing them into handcrafted features called summary statistics. We developed a new approach based on deep learning that takes as input the variant sites found within a sample of individuals from the same population, and infers demographic descriptor values...

33. A generic autocompletion of SPARQL in a multi-service context at Paris-Saclay

Mme Karima Rafes (LRI)

08/11/2017 16:20

Session 4

Dans cet article, nous démontrons, au travers d’une expérimentation, une approche permettant de proposer des complétions d’une requête en cours de rédaction en exploitant de nombreux types d’autocomplétion et ce dans un contexte multi-services. Cette expérimentation s’appuie sur un éditeur SPARQL auquel nous avons ajouté des mécanismes d’autocomplétion qui supportent une ontologie en...

35. Scientific Knowledge Graph Enrichment and Expansion

Fatiha Sais (LRI)

08/11/2017 16:40

Session 4

In the setting of the CDS2 of University Paris Saclay, the Data IT platform is a prominent initiative for moving forward a creation of a linked open data cloud dedicated for data science. In order to take part of this challenging goal, we propose in this project to be involved in the enrichment of the datasets, existing in Data IT platform, and in proposing tools contributing to the...

34. Discussion

08/11/2017 17:00

Session 4

15. A framework for sensor data management and analysis

Karine Zeitouni (DAVID / UVSQ)

14. A platform for decoding and recoding turbulence

Dr Bérengère Podvin (CNRS)

5. Apprentissage automatique pour une aide au codage PMSI

Namik Taright (APHP)

9. Causal discovery for CDS practitioners

Mlle Isabelle Guyon (UPSud / INRIA / ChaLearn)

8. Efficiently Ranking big biological and biomedical data sets using rank aggregation techniques

Dr Sarah COHEN-BOULAKIA (Laboratoire de Recherche en Informatique)

16. Generic stereoscopic tools for planetary topography

M. Frédéric Schmidt (GEOPS / UPSud)

11. Global scientific positioning system for CDS

Philippe Caillou (LRI / UPSud)

12. Heterogeneous social data management and mining

Nacéra Bennacer (LRI)

0. Introduction

Balázs Kégl (LAL)

6. Managing and analyzing analytical chemistry data sets

Ali Tfayli (LIPSYS / UPSud)

10. Multi-level data fusion

Dr Kaouthar Benameur (ONERA)

1. RAMPs and Data Challenges

Balázs Kégl (LAL)

13. Reconstructing the past: deep learning for population genetics

Guillaume Charpiat (TAO Team/ INRIA)

7. Secure cytotoxic administration by non-invasive spectroscopy

Laetitia Le (LIPSYS / UPSud)

2. The linked data platform

Mme Karima Rafes (LRI)

3. The open software initiative

Alexandre Gramfort (Telecom ParisTech, CNRS)

17. Tracking machine learning challenge

Dr David Rousseau (ATLAS)

4. Ultrawalls and interactive visualization

Emmanuel Pietriga (INRIA)

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