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| − | {{Abschlussarbeit
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| − | |Titel=Interactive Evolutionary Multiobjective Optimization
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| − | |Abschlussarbeitstyp=Master
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| − | |Betreuer=Jacqueline Höllig
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| − | |Partner=FZI
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| − | |Forschungsgruppe=Web Science
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| − | |Abschlussarbeitsstatus=Offen
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| − | |Beginn=2020/12/01
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| − | |Beschreibung DE=
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| − | ==Thema==
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| − | Investigating and Developing approaches to generate realistic and human-interpretable image counterfactuals by using Multiobjective Optimization.
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| − | ==Aufgaben==
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| − | *In-depth literature review about Interactive Multiobjective Optimization and Evolutionary Multi-Objective Optimization
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| − | *Development of an interactive evolutionary Multobjective approach for image counterfactuals
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| − | *Experimental comparison of state-of-the-art image counterfactuals with the newly developed approach
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| − | ==Wir bieten==
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| − | *Continuous and thorough mentoring of the student
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| − | *A highly motivated and fun team
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| − | *Constructive teamwork
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| − | ==Wir erwarten==
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| − | *Basic knowledge in python programming and/or machine learning
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| − | *Ability to plan and work independently
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| − | *Very good knowledge of German or English
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| − | *High level of motivation and enthusiasm
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| − | ==Bewerbung==
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| − | We are looking forward to your application to Jacqueline Höllig (hoellig@fzi.de).
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| − | Please provide us with the following information:
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| − | *Transcript of Records
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| − | *CV
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| − | }}
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