CAI Publications | ZHAW School of Engineering

Alongside our commitment to teaching and educating the next generation of AI professionals, research is at the heart of the Centre for Artificial Intelligence. Through our research, we contribute to advancing the foundations, methods, and applications of artificial intelligence and machine learning, while addressing challenges with real-world and societal relevance.

Our publications reflect the breadth of this work and our active contribution to the international research community. Explore the complete list of our publications and discover the research, ideas, and collaborations at the CAI.

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Stadelmann, Thilo; Keuzenkamp, Julian; Grabner, Helmut; Würsch, Christoph,

2021.

The AI-Atlas : didactics for teaching AI and machine learning on-site, online, and hybrid.

Education Sciences.

11(7), pp. 318.

Available from: https://doi.org/10.21256/zhaw-22751
Simmler, Niclas; Sager, Pascal; Andermatt, Philipp; Chavarriaga, Ricardo; Schilling, Frank-Peter; Rosenthal, Matthias; Stadelmann, Thilo,

2021.

A survey of un-, weakly-, and semi-supervised learning methods for noisy, missing and partial labels in industrial vision applications[paper].

In:

Proceedings of the 8th SDS.

8th Swiss Conference on Data Science, Lucerne, Switzerland, 9 June 2021.

IEEE.

pp. 26-31.

Available from: https://doi.org/10.21256/zhaw-22256
Knapp, Evelyne; Battaglia, Mattia; Stadelmann, Thilo; Jenatsch, Sandra; Ruhstaller, Beat,

2021.

XGBoost trained on synthetic data to extract material parameters of organic semiconductors[paper].

In:

Proceedings of the 8th SDS.

8th Swiss Conference on Data Science, Lucerne, Switzerland, 9 June 2021.

IEEE.

pp. 46-51.

Available from: https://doi.org/10.21256/zhaw-22414
von Däniken, Pius,

2021.

Improving a semantic parser through user interaction.

Winterthur:

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Available from: https://doi.org/10.21256/zhaw-22938
Iwane, Fumiaki; Iturrate, Iñaki; Chavarriaga, Ricardo; Millán, José del R.,

2021.

Invariability of EEG error-related potentials during continuous feedback protocols elicited by erroneous actions at predicted or unpredicted states.

Journal of Neural Engineering.

18(4), pp. 046044.

Annual Report

Every year we publish a collection of our publications for the previous year and the first quarter of the current year. Below please find our annual reports since inception.