Différences entre les versions de « BICS Data Seminar 7/2019 »

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(Page créée avec « == Handling Data cascades == The recent explosition of data science and artificial intelligence relies on one critical capability: being able to gather, clean, analyse an... »)
 
 
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| 9:30 || Pierre Parrend || Handling data cascade
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| 9:30 || Pierre Parrend || Handling data cascades
 
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| 9:45 || Arnaud Kress || BICS Infrastructure
 
| 9:45 || Arnaud Kress || BICS Infrastructure
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| 10:15 || Luc Moulinier || Protein fold recognition
 
| 10:15 || Luc Moulinier || Protein fold recognition
 
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| 10:30 || Kirsley Chennen || Data FAIRification
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| 10:30 || Kirsley Chennen || Overview of data handling in rare diseases
 
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| 10:45 || Thomas Weber || Variants
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| 10:45 || Thomas Weber || Data handling and analysis on genetic variants
 
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| 11:30 || Nicolas Scalzitti || Genome annotation
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| 11:30 || Nicolas Scalzitti || Data Process Genome Annotation
 
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| 11:45 || Anne Jeannin || Data for deep learning
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| 11:45 || Anne Jeannin || Deep learning data: improving learning for deep models
 
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| 12:00 || Pierre Parrend || Handling industrial data
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| 12:00 || Pierre Parrend || Industrial data cascades
 
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| 12:30 || The End ||  
 
| 12:30 || The End ||  
 
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Version actuelle datée du 9 juillet 2019 à 11:50

Handling Data cascades

The recent explosition of data science and artificial intelligence relies on one critical capability: being able to gather, clean, analyse and render the data on which the algorithms rely.

BICS offers a whole support of material, software, data and methodology resources to support the handling of data cascade in the domains of medical, biological, industrial and educational domains.

The BICS data Seminar 2019 provides the overview of the state of the art for data handling cascade.

The program

Welcome to our speakers:

Time Author Title
9:30 Pierre Parrend Handling data cascades
9:45 Arnaud Kress BICS Infrastructure
10:00 Laetitia Poidevin Omics databases
10:15 Luc Moulinier Protein fold recognition
10:30 Kirsley Chennen Overview of data handling in rare diseases
10:45 Thomas Weber Data handling and analysis on genetic variants
11:30 Nicolas Scalzitti Data Process Genome Annotation
11:45 Anne Jeannin Deep learning data: improving learning for deep models
12:00 Pierre Parrend Industrial data cascades
12:30 The End