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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.

  • Carlson, David Edwin; Chavarriaga, Ricardo; Liu, Yiling; Lotte, Fabien; Lu, Bao-Liang,

    2025.

    The NERVE-ML (neural engineering reproducibility and validity essentials for machine learning) checklist : ensuring machine learning advances neural engineering.

    Journal of Neural Engineering.

    22(2), pp. 021002.

    Available from: https://doi.org/10.21256/zhaw-32801

  • Amer-Yahia, Sihem; Bogojeska, Jasmina; Facchinetti, Roberta; Franceschi, Valeria; Gionis, Aristides; Hose, Katja; Koutrika, Georgia; Kouyos, Roger; Lissandrini, Matteo; Maniu, Silviu; Mirylenka, Katsiaryna; Mottin, Davide; Palpanas, Themis; Rigotti, Mattia; Velegrakis, Yannis,

    2025.

    Towards reliable conversational data analytics[paper].

    In:

    Proceedings of EDBT 2025.

    28th International Conference on Extending Database Technology (EDBT), Barcelona, Spain, 25-28 March 2025.

    Open Proceedings.

    pp. 962-969.

    Available from: https://doi.org/10.21256/zhaw-32833

  • Karakulak, Tülay; Zajac, Natalia; Bolck, Hella Anna; Bratus-Neuenschwander, Anna; Zhang, Qin; Qi, Weihong; Basu, Debleena; Carrasco Oltra, Tamara; Rehrauer, Hubert; von Mering, Christian; Moch, Holger; Kahraman, Abdullah,

    2025.

    Heterogeneous and novel transcript expression in single cells of patient-derived clear cell renal cell carcinoma organoids.

    Genome Research.

    35(4), pp. 698-711.

    Available from: https://doi.org/10.21256/zhaw-33531

  • Govindarajan, Sindhuja Tirumalai; Mamourian, Elizabeth; Erus, Güray; Abdulkadir, Ahmed; Melhem, Randa; Doshi, Jimit; Pomponio, Raymond; Tosun, Duygu; Bilgel, Murat; An, Yang; Sotiras, Aristeidis; Marcus, Daniel S.; LaMontagne, Pamela; Benzinger, Tammie L.S.; Espeland, Mark A.; Masters, Colin L.; Maruff, Paul; Launer, Lenore J.; Fripp, Jürgen; Johnson, Sterling C.; Morris, John C.; Albert, Marilyn S.; Bryan, R. Nick; Resnick, Susan M.; Habes, Mohamad; Shou, Haochang; Wolk, S. J.; Nasrallah, Ilya M.; Davatzikos, Christos,

    2025.

    Machine learning reveals distinct neuroanatomical signatures of cardiovascular and metabolic diseases in cognitively unimpaired individuals.

    Nature Communications.

    16(1), pp. 2724.

    Available from: https://doi.org/10.21256/zhaw-33691

  • Bonaldi, A.; Hartley, P.; Braun, R.; Purser, S.; Acharya, A.; Ahn, K.; Resco, M. Aparicio; Bait, O.; Bianco, M.; Chakraborty, A.; Chapman, E.; Chatterjee, S.; Chege, K.; Chen, H.; Chen, X.; Chen, Z.; Conaboy, L.; Cruz, M.; Darriba, L.; De Santis, M.; Denzel, P.; Diao, K.; Feron, J.; Finlay, C.; Gehlot, B.; Ghosh, S.; Giri, S. K.; Grumitt, R.; Hong, S. E.; Ito, T.; Jiang, M.; Jordan, C.; Kim, S.; Kim, M.; Kim, J.; Krishna, S. P.; Kulkarni, A.; López-Caniego, M.; Labadie-García, I.; Lee, H.; Lee, D.; Lee, N.; Line, J.; Liu, Y.; Mao, Y.; Mazumder, A.; Mertens, F. G.; Munshi, S.; Nasirudin, A.; Ni, S.; Nistane, V.; Norregaard, C.; Null, D.; Offringa, A.; Oh, M.; Oh, S. -H.; Parkinson, D.; Pritchard, J.; Ruiz-Granda, M.; López, V. Salvador; Shan, H.; Sharma, R.; Trott, C.; Yoshiura, S.; Zhang, L.; Zhang, X.; Zheng, Q.; Zhu, Z.; Zuo, S.; Akahori, T.; Alberto, P.; Allys, E.; An, T.; Anstey, D.; Baek, J.; Basavraj; Brackenhoff, S.; Browne, P.; Ceccotti, E.; Chen, H.; Chen, T.; Choudhuri, S.; Choudhury, M.; Coles, J.; Cook, J.; Cornu, D.; Cunnington, S.; Das, S.; Acedo, E. De Lera; Delou is, J. -M.; Deng, F.; Ding, J.; Elahi, K. M. A.; Fernandez, P.; Fernández, C.; Alcázar, A. Fernández; Galluzzi, V.; Gao, L. -Y.; Garain, U.; Garrido, J.; Gendron-Marsolais, M. -L.; Gessey-Jones, T.; Ghorbel, H.; Gong, Y.; Guo, S.; Hasegawa, K.; Hayashi, T.; Herranz, D.; Holanda, V.; Holloway, A. J.; Hothi, I.; Höfer, C.; Jelić, V.; Jiang, Y.; Jiang, X.; Kang, H.; Kim, J. -Y.; Koopmans, L. V.; Lacroix, R.; Lee, E.; Leeney, S.; Levrier, F.; Li, Y.; Liu, Y.; Ma, Q.; Meriot, R.; Mesinger, A.; Mevius, M.; Minoda, T.; Miville-Deschenes, M. -A.; Moldon, J.; Mondal, R.; Murmu, C.; Murray, S.; SR, Nirmala; Niu, Q .; Nunhokee, C.; O'Hara, O.; Pal, S. K.; Pal, S.; Park, J.; Parra, M.; tra, N. N. Pa; Pindor, B.; Remazeilles, M.; Rey, P.; Rubino-Martin, J. A.; Saha, S.; Selvaraj, A.; Semelin, B.; Shah, R.; Shao, Y.; Shaw, A. K.; Shi, F.; Shimabukuro, H.; Singh, G.; Sohn, B. W.; Stagni, M.; Starck, J. -L.; Sui, C.; Swinbank, J. D.; Sánchez, J.; Sánchez-Expósito, S.; Takahashi, K.; Takeuchi, T.; Tripathi, A.; Verdes-Montenegro, L.; Vielva, P.; Vitello, F. R.; Wang, G. -J.; Wang, Q.; Wang, X.; Wang, Y.; Wang, Y. -X.; Wiegert, T.; Wild, A.; Williams, W. L.; Wolz, L.; Wu, X.; Wu, P.; Xia, J. -Q.; Xu, Y.; Yan, R.; Yan, Y. -P.,

    2025.

    Square Kilometre Array Science Data Challenge 3a : foreground removal for an EoR experiment.

    arXiv.

    Available from: https://doi.org/10.21256/zhaw-32837

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. 

Archive Annual Reports

Annual Report 2024

Annual Report 2023 (PDF 22 MB)

Annual Report 2022 (PDF 28 MB)

Annual Report 2021 (PDF 15.80 MB)