2024

  • Khoee, Arsham Gholamzadeh, Yinan Yu, and Robert Feldt. “Domain generalization through meta-learning: a survey.” Artificial Intelligence Review 57, 285 (2024). DOI

  • Khoee, Arsham Gholamzadeh, Yinan Yu, Robert Feldt, Andris Freimanis, Patrick Andersson Rhodin, and Dhasarathy Parthasarathy. “GoNoGo: an efficient LLM-based multi-agent system for streamlining automotive software release decision-making.” In Proceedings of the 36th International Conference on Testing Software and Systems (ICTSS), London, United Kingdom, October 30–November 1 (2024). arXiv:2408.09785

  • Harrison, Josie, Alexander Hollberg, and Yinan Yu. “Scalability in building component data annotation: enhancing facade material classification with synthetic data.” In Proceedings of the 2024 European Conference on Computing in Construction, Chania, Crete, Greece, July 14–17 (2024). DOI

  • Yu, Yinan, Samuel Scheidegger, and Tomas McKelvey. “Building efficient CNNs using depthwise convolutional eigen-filters (DeCEF).” Neurocomputing 609, 128461 (2024). DOI

  • Yu, Yinan, Samuel Scheidegger, Jasmine Elliott, and Åsa Löfgren. “climateBUG: a data-driven framework for analyzing bank reporting through a climate lens.” Expert Systems with Applications 239, 122162 (2024). DOI

2023

  • von Numers, Charlotte, Yinan Yu, Aleksandra Petkova, Emmette Hutchison, and Jesper Havsol. “BAUFER: a baseline-enabled facial expression recognition pipeline trained with limited annotations.” In Artificial Intelligence for Personalized Medicine, W3PHAI 2023. Studies in Computational Intelligence, vol. 1106, pp. 221–236. Springer, Cham (2023). DOI