CAI Publications
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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Ali, Waqar; Vascon, Sebastiano; Stadelmann, Thilo; Pelillo, Marcello,
2026.
Topology-aware node dropping augmentation for graph classification[paper].
In:
2026 6th International Conference on Neural Networks, Information and Communication Engineering (NNICE).
6th International Conference on Neural Networks, Information and Communication Engineering (NNICE), Hefei, China, 23-25 January 2026.
IEEE.
pp. 589-594.
Available from: https://doi.org/10.21256/zhaw-35188
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Barco, Daniel; Stadelmann, Marc; Oswald, Martin; Herzig, Ivo; Lichtensteiger, Lukas; Paysan, Pascal; Peterlik, Igor; Walczak, Michal; Menze, Bjoern; Schilling, Frank-Peter,
2026.
MInDI-3D : iterative deep learning in 3D for sparse-view cone beam computed tomography.
IEEE Access.
14, pp. 6438-6449.
Available from: https://doi.org/10.21256/zhaw-35362
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Tchernin, Celine; Peña-Queralta, Jorge; Chen, Yang; Paez-Granados, Diego,
2026.
Posture control in personal mobility robots through pressure interfaces[paper].
In:
2026 IEEE/SICE International Symposium on System Integration (SII).
International Symposium on System Integration (SII), Cancun, Mexico, 11-14 January 2026.
IEEE.
pp. 605-611.
Available from: https://doi.org/10.21256/zhaw-35898
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Denzel, Philipp; Weiss, Manuel; Gavagnin, Elena; Schilling, Frank-Peter,
2026.
Optimization of deep learning models for radio galaxy classification.
arXiv.
Available from: https://doi.org/10.21256/zhaw-35361
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Stadelmann, Thilo,
2026.
Winterthur:
ZHAW Zurich University of Applied Sciences.
Available from: https://doi.org/10.21256/zhaw-36506
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.