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.
-
von Däniken, Pius; Deriu, Jan Milan; Rodrigo, Alvaro; Cieliebak, Mark,
2024.
Improving quantification with minimal in-domain annotations : beyond classify and count[paper].
In:
Proceedings of the International AAAI Conference on Web and Social Media.
18th International AAAI Conference on Web and Social Media (ICWSM), Buffalo, USA, 3-6 June 2024.
AAAI Press.
pp. 1585-1598.
Available from: https://doi.org/10.21256/zhaw-32480
-
Dashti, Ali; Stadelmann, Thilo; Kohl, Thomas,
2024.
Machine learning for robust structural uncertainty quantification in fractured reservoirs.
Geothermics.
120(103012).
Available from: https://doi.org/10.21256/zhaw-30431
-
Capol, Corsin; Cieliebak, Mark; Weichselbraun, Albert; Musat, Claudiu; Maier, Elisabeth; Zimmermann, Lucas, eds.,
2024.
Proceedings of the 9th edition of the Swiss Text Analytics Conference.
9th Swiss Text Analytics Conference – SwissText 2025, Chur, Switzerland, 10-11 June 2024.
Association for Computational Linguistics.
.
-
Schmitt-Koopmann, Felix; Huang, Elaine M.; Hutter, Hans-Peter; Stadelmann, Thilo; Darvishy, Alireza,
2024.
MathNet : a data-centric approach for printed mathematical expression recognition.
IEEE Access.
12, pp. 76963-76974.
Available from: https://doi.org/10.21256/zhaw-30744
-
Jermain, Peter R.; Oswald, Martin; Langdun, Tenzin; Wright, Santana; Khan, Ashraf; Stadelmann, Thilo; Abdulkadir, Ahmed; Yaroslavsky, Ann N.,
2024.
Rapid optical cytology with deep learning-based cell segmentation for diagnosis of thyroid lesions[paper].
In:
Optica Biophotonics Congress: Biomedical Optics 2024 (Translational, Microscopy, OCT, OTS, BRAIN).
Optica Biophotonics Congress: Biomedical Optics, Fort Lauderdale, USA, 7-10 April 2024.
Optica Publishing Group.
pp. MTu4A.5.
Available from: https://doi.org/10.21256/zhaw-29674
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.