UMR CNRS 7253

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-{{fr:benjamin_quost.jpg?175 |Benjamin Quost }} +{{fr:benjamin_quost.jpg?185 |Benjamin Quost }} 
 **Benjamin Quost** --- Associate professor with habilitation \\  **Benjamin Quost** --- Associate professor with habilitation \\ 
-Royallieu Research Center \\  +Royallieu research center, dept. Computer Science \\  
-Department of Computer Science \\  +Pascal building, office 201 \\ 
-building C, office C119 \\ +
 tel. : +33 (0)3 44 23 49 68 \\  tel. : +33 (0)3 44 23 49 68 \\ 
 fax : +33 (0)3 44 23 44 77 \\  fax : +33 (0)3 44 23 44 77 \\ 
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 [[http://www.utc.fr|Université de Technologie de Compiègne]] \\  [[http://www.utc.fr|Université de Technologie de Compiègne]] \\ 
-[[http://www.hds.utc.fr|Laboratoire HeuDiaSyC]], UMR UTC-CNRS 7253 \\  +Rue Roger Couttolenc, 60200 Compiègne  
-Rue Roger Couttolenc \\  + 
-CS 60319 \\  +[[http://www.hds.utc.fr|Laboratoire Heudiasyc]], UMR UTC-CNRS 7253 \\  
-60203 COMPIEGNE CEDEX +57 Av. de Landshut, 60200 Compiègne 
  
 \\  \\ 
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 You will find here a summary of my professional activities. \\  You will find here a summary of my professional activities. \\ 
 For any other information, do not hesitate to contact me !  For any other information, do not hesitate to contact me ! 
- + 
- +
  
  
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 ====== Brief presentation ====== ====== Brief presentation ======
  
-I am now associate professor at the university of Technology of Compiègne.  +I am now associate professor (habil.) at the Université de Technologie de Compiègne. 
- +
-My research focuses on machine learning, and more particularly supervised and unsupervised classification, from imperfect (imprecise, uncertain) information. I also work on classifier combination and data fusion issues. +
  
-I am interested in the theoretical framework of belief functions (also known as Dempster-Shafer theory) for representing and managing imprecision and uncertainty. +My research focuses on machine learning, and more particularly on learning cautious models from scarce or poor data (Safe AI) or under fairness constraints; on explainability, and in particular explaining indeterminate predictions; and on decision-making from partial information. I also work on classifier combination and data fusion issues. 
  
-I am also head of the UTC [[http://www-uvs.utc.fr/~fdd/|Data mining and Decision Making]] curriculum since January 2012. +I am interested in the theoretical frameworks of probability theory, belief functions (also known as Dempster-Shafer theory), and imprecise probability, for representing and managing imprecision and uncertainty. 
  

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en/start.1543934455.txt.gz · Last modified: 2018/12/04 15:40 by quostben
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