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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Totu, Tiberiu; Riudavets Puig, Rafael; Häuser, Lukas Jonathan; Tomasoni, Mattia; Bolck, Hella Anna; Buljan, Marija,
2025.
NOODAI : a webserver for network-oriented multi-omics data analysis and integration pipeline.
Bioinformatics.
41(11), pp. btaf553.
Available from: https://doi.org/10.21256/zhaw-34430
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Eke, Damian; Chavarriaga, Ricardo; Stahl, Bernd,
2025.
Decoloniality impact assessment for AI.
AI & Society.
41(3), pp. 2213-2228.
Available from: https://doi.org/10.21256/zhaw-35928
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Tuggener, Lukas; Stadelmann, Thilo; Schmidhuber, Jürgen,
2025.
Efficient rotation invariance in deep neural networks through artificial mental rotation.
Frontiers in Computer Science.
7(1644044).
Available from: https://doi.org/10.21256/zhaw-34131
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Salis, Emmanuel de; Santis, Massimo De; Piras, Davide; Giri, Sambit K.; Bianco, Michele; Cerardi, Nicolas; Denzel, Philipp; Selcuk-Simsek, Merve; Hess, Kelley M.; Toribio, M. C.; Kirsten, Franz; Ghorbel, Hatem,
2025.
Exploring the early universe with deep learning[paper].
In:
Valente de Oliveira, José; Leite, João; Rodrigues, João; Dias, João; Cardoso, Pedro, eds.,
Progress in Artificial Intelligence.
24th EPIA Conference on Artificial Intelligence, Faro, Portugal, 1-3 October 2025.
Cham:
Springer.
pp. 426-438.
Lecture Notes in Computer Science ; 16121.
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Fedorova, Anna; Stefani, Wolfgang; Heitz, Christoph; Chavarriaga, Ricardo,
2025.
Continuous assessment-driven requirement elicitation for trustworthy AI systems[paper].
In:
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Porto, Portugal, 15-19 September 2025.
Zenodo.
Available from: https://doi.org/10.21256/zhaw-34180
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.