KI - Künstliche Intelligenz

AI in Medicine, Covid-19 and Springer Nature's Open Access Agreement

Daniel Sonntag

Challenges in Interactive Machine Learning

Stefano Teso, Oliver Hinz

Power to the Oracle? Design Principles for Interactive Labeling Systems in Machine Learning

Mario Nadj, Merlin Knaeble, Maximilian Xiling Li, Alexander Maedche

eXplainable Cooperative Machine Learning with NOVA

Tobias Baur, Alexander Heimerl, Florian Lingenfelser, Johannes Wagner, Michel F. Valstar, Björn Schuller, Elisabeth André

Active and Incremental Learning with Weak Supervision

Clemens-Alexander Brust, Christoph Käding, Joachim Denzler

Interactive Transfer Learning in Relational Domains

Raksha Kumaraswamy, Nandini Ramanan, Phillip Odom, Sriraam Natarajan

Measuring the Quality of Explanations: The System Causability Scale (SCS)

Andreas Holzinger, André Carrington, Heimo Müller

How and What Can Humans Learn from Being in the Loop?

Benjamin M. Abdel-Karim, Nicolas Pfeuffer, Gernot Rohde, Oliver Hinz

ITP: Inverse Trajectory Planning for Human Pose Prediction

Pedro A. Peña, Ubbo Visser

Mutual Explanations for Cooperative Decision Making in Medicine

Ute Schmid, Bettina Finzel

One Explanation Does Not Fit All

Kacper Sokol, Peter Flach

On the Development of AI in Germany

Wolfgang Bibel

Just-In-Time Constraint-Based Inference for Qualitative Spatial and Temporal Reasoning

Michael Sioutis

Dealing with Mislabeling via Interactive Machine Learning

Wanyi Zhang, Andrea Passerini, Fausto Giunchiglia

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