Nachrichtenübersicht

Janis Zenkner from Prof. Dr. Christian Bartelt’s research group at ISSE and his co-authors introduce SAD, a method that helps AI generate…

With MoTIF, Patrick Knab and colleagues from Christian Bartelt’s research group at ISSE make a video model’s decisions easier to understand.

Prof. Dr. Christian Bartelt co-authored a study on improving predictions from tabular data. The study has been accepted at NeurIPS 2026.

A study co-authored by Jannik Brinkmann from Prof. Dr. Christian Bartelt’s research group has been accepted to the NeurIPS 2026 main…

The paper "Towards LLM-Assisted Architecture Recovery for Real-World ROS 2 Systems: An Agent-Based Multi-Level Approach to Hierarchical…

Three papers co-authored by Jannik Brinkmann, a member of Prof. Dr. Christian Bartelt’s research group, have been accepted to the main…

The paper “Concepts in Motion: Temporal Concept Bottleneck Model for Interpretable Video Classification” has received the Best Paper Award…

Mit der CORE-Labs-Initiative baut die TU Clausthal mit Partnern in Rumänien und Rostock eine verteilte Laborplattform für humanoide und…

How can a model explain not only what it sees in a video, but also when important concepts appear, recur, and shape the final prediction?

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What makes a machine learning model interpretable — and how can we tell whether its reasoning is actually understandable to humans?

These…