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Information Systems and Applied Computer Sciences

Cognitive Systems

  1.  University of bamberg
  2. Faculties
  3. Information Systems and Applied Computer Sciences
  4. Subject groups
  5. Applied Computer Science
  6. Cognitive Systems
  7. Studies
  8. Courses
  9. Seminar Cognitive Systems

Bachelor-/Master-Seminar (WS 26/27)

General Information

  • This seminar is open for bachelor- and master students (BA AI, MA AI, CitH).
  • The seminar takes place on Wednesdays, 10:00–12:00, in WE5/05.005 (KogSys Lab)
  • You find administrative information at UnivIS.
  • Information regarding the current/upcoming seminar is available in the WIAI Information about Projects and Seminars VC-Course.
  • Information about registration is found in that VC-Course as well, but is usually handled via a feedback activity in the seminar's VC-Course.

  • Course language is English

    Important: This course is not eligible for the MA ISoSySc program. It has been communicated that no exceptions will be made.

Topic: 

Concept-Based Explanations and Model Revision

Review Papers

  • Schwalbe & Finzel (2024): A comprehensive taxonomy for explainable artificial intelligence.
  • Speith (2022): A review of taxonomies of Explainable Artificial Intelligence (XAI) methods.
  • Poeta et al. (2026): Concept-based Explainable Artificial Intelligence: A Survey.
  • Teso et al. (2023): Leveraging explanations in interactive machine learning: An overview.
  • Ross et al. (2017): Right for the right reasons: Training differentiable models by constraining their explanations.
  • Anders et al. (2022): Finding and removing Clever Hans: Using explanation methods to debug and improve deep models.

Concept-Based XAI

Topics include methods for explaining model behavior through human-understandable concepts, concept discovery, concept attribution, and concept-based model architectures.

Explain to Revise

Topics include explanation-guided model debugging and improvement, interactive machine learning, correcting spurious model behavior, revising models based on explanations, and human interaction with model explanations.
 

Previous Seminars

Bachelor/Master-Seminar: [WS25/26] [SS 26]

Bachelor/Master-Seminar: Explainable Artificial Intelligence: [WS 19/20] [WS 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] [SS20] [SS21] [SS22] [SS23] [SS24] [SS25]

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]