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DTSTART;TZID=Europe/Stockholm:20190613T111500
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UID:submissions.pasc-conference.org_PASC19_sess120@linklings.com
SUMMARY:MS21 - Machine Learning Applied to Scientific Modeling
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Emerg
 ing Application Domains, Chemistry and Materials, Climate and Weather, Phy
 sics, Solid Earth Dynamics, Life Sciences, Engineering\n\nCombination of H
 igh-Performance Computing and Machine Learning in Computational Physics: A
 pplication to Aeronautical Flows\n\nBauerheim\n\nOver the past decades, th
 e numerous improvements of flow solvers combined with the prodigious incre
 ase of CPU resources have made Computational Fluid Dynamics (CFD) an essen
 tial tool to design and optimize aeronautical vehicles. Yet, aeronautical 
 flows usually exhibit turbulence, acoustic waves and ...\n\n--------------
 -------\nNeural Concept Shape and Some Applications: a Deep-Learning Frame
 work for CAE\n\nBaque\n\nShape optimization through simulations has many i
 ndustrial applications. Existing methods, however, are so computationally 
 demanding that typical engineering practices are to either simply try a li
 mited number of hand-designed shapes or restrict oneself to shapes that ca
 n be parameterized using only...\n\n---------------------\nRevisiting Moti
 f Trees: High Performance White Box Predictors for Biological Sequences Mo
 deling\n\nFalcone, Charpilloz\n\nDue to the constant improvement of sequen
 cing methods and equipment, biological databases are increasing exponentia
 lly. In order to exploit such amounts of data, machine learning has been r
 outinely used in bioinformatics during the last 25 years. However, most pr
 evious research did focus on building...\n\n---------------------\nMachine
  Learning for Pathological Gait Modelling\n\nKalousis\n\nIn this talk we w
 ill present how we model pathological gait in order to support treatment s
 election using machine learning by learning gait models that link clinical
  data with the gait's dynamics. Such models would allow medical doctors to
  explore what-if scenarios for surgery procedure selection. P...\n
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