Interactive Machine Learning

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   Amenable - Accessible AI in Sensor-Based Systems for Environment Monitoring

   AMENABLE addresses a fundamental challenge in AI-driven environment monitoring: the gap between the informal, task-specific concept hierarchies typical of robotics and sensor systems, and the formal,…

2. TrustML - Trustworthy Machine Learning

   This new research project aims to develop a methodological and technical framework that enables the end-to-end design, implementation and secure operation of ML-based systems. This will enable users…

3. 

   NoIDLEChatGPT - No-IDLE meets ChatGPT

   Das Projekt "No-IDLE meets ChatGPT" zielt darauf ab, die Mensch-Maschine-Interaktion bei der Aktualisierung von Deep-Learning-Modellen (DL) zu verbessern, indem die Mensch-Computer-Interaktion (HCI)…

4. 

   IUML - Interpretability in Unsupervised Machine Learning

   To foster trust, accountability, and informed decisions, it is crucial to develop methods for comprehending and explaining how these models arrive at their conclusions, thus accelerating industrial…

5. 

   No-IDLE - Interactive Deep Learning Enterprise

   In recent years, machines have surpassed humans in the performance of specific and narrow tasks such as some aspects of image recognition or decision making along clinical pathways in the medical…

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