Aardal, M. A., Adj, G.
, F. Aranha, D., Basso, A., Canales Martínez, I. A., Chávez-Saab, J., Corte-Real Santos, M., Dartois, P., De Feo, L., Duparc, M., Komada Eriksen, J., Fouotsa, T. B., Filho, D. L. G., Hess, B., Kohel, D., Leroux, A., Longa, P., Maino, L., Meyer, M. ... Wesolowski, B. (2025).
SQIsign 2.0: Algorithm specifications and supporting documentation.
https://sqisign.org/spec/sqisign-20250205.pdf
Mortensen, K. O., Skitsas, K., Christensen, E. M., Talebi, M. S.
, Pavlogiannis, A., Mottin, D. & Karras, P. (2025).
SwiftVI: Time-Efficient Planning and Learning with MDPs. I M. Zaharia, G. Joshi & Y. Lin (red.),
Proceedings of Machine Learning and Systems (Bind 7). MLSys.
https://proceedings.mlsys.org/paper_files/paper/2025/file/0f8426558905746fc38da5e335700aec-Paper-Conference.pdf
Bilstrup, K. E. K., Kaspersen, M. H., Bouvin, N. O. & Petersen, M. G. (2025).
The ML-Machine Toolkit: Empowering Teachers and Education Professionals to Explore Embodied Approaches to Teaching Machine Learning. I N. J. Nunes, V. Nisi, I. Oakley, Q. Yang & C. Zheng (red.),
DIS 2025 - Proceedings of the 2025 ACM Designing Interactive Systems Conference (s. 535-551). Association for Computing Machinery.
https://doi.org/10.1145/3715336.3735737
Mahrík, M., Šikyňa, M.
, Mic, V. & Zezula, P. (2025).
Towards Personalized Similarity Search for Vector Databases. I E. Chávez, B. Kimia, J. Lokoč, M. Patella & J. Sedmidubsky (red.),
Similarity Search and Applications - 17th International Conference, SISAP 2024, Proceedings (s. 126-139). Springer.
https://doi.org/10.1007/978-3-031-75823-2_11
Amer-Yahia, S., Bogojeska, J., Facchinetti, R., Franceschi, V., Gionis, A., Hose, K., Koutrika, G., Kouyos, R., Lissandrini, M., Maniu, S., Mirylenka, K.
, Mottin, D., Palpanas, T., Rigotti, M. & Velegrakis, Y. (2025).
Towards Reliable Conversational Data Analytics. I
roceedings of the 28th International Conference on Extending Database Technology (3 udg., s. 962-969). openproceedings.org.
https://doi.org/10.48786/edbt.2025.78
Larsen-Ledet, I., Lewkowicz, M.
, Klokmose, C. N., Linehan, C. & Colfi, L. (2025).
Traces, Breadcrumbs, and Patina: Exploring and Designing with Traces of Activity. 116-119. Abstract fra 28th ACM Conference on Computer-Supported Cooperative Work and Social Computing, Bergen, Norge.
Draganov, A. A., Weber, P., Jørgensen, R. S. M., Beer, A., Plant, C.
& Assent, I. (2025).
Ultrametric Cluster Hierarchies: I Want ‘em All!.
https://neurips.cc/media/PosterPDFs/NeurIPS%202025/119173.png?t=1762960797.979475
Strauss, D. J., Francis, A. L., Schäfer, Z., Latzel, M., Corona–Strauss, F. I. & Launer, S. (2025).
Understanding speech in “noise” or free energy minimization in the soundscapes of the anthropocene.
Frontiers in Neuroscience,
19, Artikel 1534425.
https://doi.org/10.3389/fnins.2025.1534425
Pfaehler, E., Krieger, L.
, Assent, I., Nebelung, S., Zwanenburg, A. & Truhn, D. (2025).
Using ensemble radiomic models to identify uncertainty in lung nodule classifications.
European Journal of Radiology Artificial Intelligence,
4, Artikel 100047.
https://doi.org/10.1016/j.ejrai.2025.100047
Lee, C., Gong, U., Lin, T.
, Zollmann, S., Epsley, S. A., Petway, A. & Pfister, H. (2025).
VAIR: Visual Analytics for Injury Risk Exploration in Sports. I
2025 IEEE 16th Workshop on Visual Analytics in Healthcare (VAHC) (s. 22-28). IEEE.
https://doi.org/10.1109/VAHC69430.2025.00008
Burattin, A., Miksch, S., Sadiq, S.
, Schulz, H.-J. & Vrotsou, K. (2025).
VESPA: Visual Event-Stream Progressive Analytics. Afhandling præsenteret på 2nd Visual Process Analytics Workshop (VIPRA'25), Seville, Spanien.
https://vipra-workshop.github.io/homepage/papers/BPM_2025_paper_280.pdf
Amores-Sesar, I. & Cachin, C. (2025).
We Will DAG You. I J. Garcia-Alfaro, K. Barker, G. Navarro-Arribas, C. Pérez-Solà, S. Delgado-Segura, S. Katsikas, F. Cuppens, C. Lambrinoudakis, N. Cuppens-Boulahia, M. Pawlicki & M. Choraś (red.),
Computer Security. ESORICS 2024 International Workshops - DPM, CBT, and CyberICPS, Bydgoszcz, 2024, Revised Selected Papers (s. 276-291). Springer Science and Business Media Deutschland GmbH.
https://doi.org/10.1007/978-3-031-82349-7_19
Perera, K. T.
, Langlotz, T., Pantidi, N. & Regenbrecht, H. (2025).
What you see is (not necessarily) what i see - Pervasive AR for Public Displays. I S. Viller, J. Paay, J. Fredericks & J. Turner (red.),
Proceedings of the 36th Australasian Conference on Human-Computer Interaction, OzCHI 2024 (s. 59-73). Association for Computing Machinery.
https://doi.org/10.1145/3726986.3727005
Marguet, E.
, Borowski, M., Kristensen, J. B., Klokmose, C. N. & Elmqvist, N. (2025).
WindowSpace: A Web-Based XR Window Manager for Interacting with 2D Windows in Immersive 3D Space.
Proceedings of the ACM on Human-Computer Interaction,
9(8), 119-144.
https://doi.org/10.1145/3773063
Kafai, Y. B., Shapiro, R. B., Jetzinger, F., Michaeli, T., Tedre, M., Vartiainen, H., Iivari, N.
, Musaeus, L. H., Iversen, O. S. & Ali, S. (2025).
Youth as Designers of Artificial Intelligence and Machine Learning Technologies: What Do We Know About the Opportunities and Challenges of K-12 Students Creating Their Own Applications? I
Proceedings of the 19th International Conference of the Learning Sciences - ICLS 2025 (s. 2260-2268). International Society of the Learning Sciences (ISLS).
https://doi.org/10.22318/icls2014.487
Kafai, Y., Shapiro, R. B., Jetzinger, F., Michaeli, T., Tedre, M.
, Iversen, O. S., Musaeus, L. H., Ali, S. & Kumar, V. (2025).
Youth as Designers of Artificial Intelligence and Machine Learning Technologies: What Do We Know About the Opportunities and Challenges of K-12 Students Creating Their Own Applicat. Afhandling præsenteret på ISLS annual meeting, Helsinki, Finland.
https://doi.org/10.22318/icls2025.362276
Bjørn, P., Busboom, J., Duckert, M.
, Bødker, S., Shklovski, I.
, Hoggan, E., Dunn, K.
, Mu, Q., Barkhuus, L. & Boulus-Rodje, N. (2024).
Achieving Symmetry in Synchronous Interaction in Hybrid Work is Impossible.
ACM Transactions on Computer-Human Interaction,
31(4), Artikel 49.
https://doi.org/10.1145/3648617
Bui-Ngoc, T., Ly, D. K.
, Truong, T. T., Thongchom, C. & Nguyen-Thoi, T. (2024).
A deep neural network based surrogate model for damage identification in full-scale structures with incomplete noisy measurements.
Frontiers of Structural and Civil Engineering,
18(3), 393-410.
https://doi.org/10.1007/s11709-024-1060-8