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KI - Künstliche Intelligenz

Ausgabe 2/2020

Challenges in Interactive Machine Learning

Inhalt (15 Artikel)


Challenges in Interactive Machine Learning

Stefano Teso, Oliver Hinz

Technical Contribution

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

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

Open Access Technical Contribution

eXplainable Cooperative Machine Learning with NOVA

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

Open Access Technical Contribution

Active and Incremental Learning with Weak Supervision

Clemens-Alexander Brust, Christoph Käding, Joachim Denzler

Technical Contribution

Interactive Transfer Learning in Relational Domains

Raksha Kumaraswamy, Nandini Ramanan, Phillip Odom, Sriraam Natarajan

Open Access Technical Contribution

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

Andreas Holzinger, André Carrington, Heimo Müller

Open Access Discussion

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

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

Technical Contribution

ITP: Inverse Trajectory Planning for Human Pose Prediction

Pedro A. Peña, Ubbo Visser

Open Access Project Report

Mutual Explanations for Cooperative Decision Making in Medicine

Ute Schmid, Bettina Finzel

Open Access Discussion

One Explanation Does Not Fit All

Kacper Sokol, Peter Flach

Open Access Discussion

On the Development of AI in Germany

Wolfgang Bibel

Dissertation and Habilitation Abstracts

Dealing with Mislabeling via Interactive Machine Learning

Wanyi Zhang, Andrea Passerini, Fausto Giunchiglia



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