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.
-
Tuggener, Lukas,
2024.
Strategies for practical deep learning.
Università della Svizzera Italiana, ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-32265
-
Burger, Manuel; Sergeev, Fedor; Londschien, Malte; Chopard, Daphne; Yèche, Hugo; Gerdes, Eike Christian; Leshetkina, Polina; Morgenroth, Alexander; Babür, Zeynep; Bogojeska, Jasmina; Faltys, Martin; Kuznetsova, Rita; Rätsch, Gunnar,
2024.
Towards foundation models for critical care time series[paper].
In:
AIM-FM: Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond (AIM-FM Workshop @ NeurIPS'24), Vancouver, Canada, 14 December 2024.
arXiv.
Available from: https://doi.org/10.21256/zhaw-32717
-
Li, Jialin; Zagorowska, Marta; De Pasquale, Giulia; Rupenyan-Vasileva, Alisa; Lygeros, John,
2024.
Safe time-varying optimization based on Gaussian processes with spatio-temporal kernel[paper].
In:
Conference on Neural Information Processing Systems, NeurIPS 2024, Vancouver, Canada, 10-15 December 2024.
NeurIPS.
Available from: https://doi.org/10.21256/zhaw-31795
-
Zysset, Annina; Feer, Sonja; Saaro, Felix Matthias; Bächli, Mirjam; Niemann, Steffen; Meier, Delphine; Seiler, Michelle; Bogojeska, Jasmina; Dratva, Julia,
2024.
Machine learning powered patient records analysis for injury monitoring in children and adolescents.
In:
17th European Public Health Conference, Lisbon, Portugal, 12-15 November 2024.
Oxford University Press.
pp. iii162.
-
Feer, Sonja; Zysset, Annina; Saaro, Felix Matthias; Bächli, Mirjam; Niemann, Steffen; Meier, Delphine; Seiler, Michelle; Bogojeska, Jasmina; Dratva, Julia,
2024.
Machine learning approach to injury monitoring in children and adolescents.
In:
17th European Public Health Conference, Lisbon, Portugal, 12-15 November 2024.
Oxford University Press.
pp. iii24.
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.