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Fakult?t Wirtschaftsinformatik und Angewandte Informatik

Lehrstuhl für Kognitive Systeme

  1.  Otto-Friedrich-Universit?t Bamberg
  2. Fakult?ten
  3. Wirtschaftsinformatik und Angewandte Informatik
  4. Professuren und Lehrstühle
  5. Angewandte Informatik
  6. Lehrstuhl für Kognitive Systeme
  7. Studium
  8. Lehrveranstaltungen
  9. Archiv
  10. SS 20
  11. Seminar Kognitive Systeme

Masterseminar (SS 2020)

General Information

  • This seminar is open only for master students of the degrees AI, WI, CitH and ISSS.
  • You have to pass our course KogSys-ML-M to be able to participate in the seminar.
  • There will be a limit of 20 students that are able to participate in the seminar.
  • You have to apply for this seminar in a central application procedure. More info in the VC course.
  • You find administrative information at UnivIS.
  • Participants should sign up for the course in the virtual campus.
  • The course is usually offered in the summer term.

Topic: Deep Learning

In recent years, the topic of deep learning gained a lot of interest in the research community. The approaches often outperform traditional machine learning methods. We want to have a look at different approaches, applications and architectures, and the (dis-)advantages of them. We will discuss current research papers in the field.

Recommended Reading / Links / Topics

  • Image/Sound/Text Classification/Segmentation/Regression
  • Concept Disentanglement
  • Autoencoders
  • Capsule Networks
  • Explainable AI
  • Ecological AI
  • Hardware Configurations

Presentations:

    Previous Seminars
     

    Bachelor/Master-Seminar: Explainable Artificial Intelligence: [WS 19/20]

    KI-Seminare (KI gestern, heute, morgen):  [WS 18/19] [WS 17/18] [WS 16/17] [WS 15/16]

    Bachelor Seminare: [WS 04/05] [WS 05/06] [WS 06/07] [WS 07/08] [WS 08/09] [WS 09/10]  [WS 10/11]    [SS 11] [WS 11/12] [WS 12/13] [WS13/14]

    Master Seminare: [SS 05] [SS 06] [SS 08] [SS 09] [WS 09/10] [SS 10]  [WS 11/12] [WS 12/13] [WS 13/14]

    Reading Clubs:

    • WS 14/15: Cognitive Models for Number Series Induction Problems  [Archiv Page]
    • SS 2014: Experimenting with a Humanoid Robot - Programming NAO to (Inter-)Act  [Archiv Page] 
    • SS 2013: An introduction into statistic data analysis with R  [Archiv Page] 
    • SS 2012: Transfer Learning  [Archiv Page] 
    • SS 2011: Emotion Mining in Images and Text  [Archiv Page] 
    • SS 2010: Aspects of Cognitive Robotics [Archiv Page] 
    • SS 2009: Reading Club Decision Support Systems [Archiv Page] 
    • WS 08/09: Algebraic Foundations of Functional Programming (together with Theoretical Computer Science) [Archiv Page]  
    • SS 2008: Similarity (together with Statistics) [Archiv Page]
    • SS 2007: Automated Theorem Proving with Isabelle (together with Theoretical Computer Science) [Archiv Page]
    • SS 2006: Support Vector Machines [Archiv Page]