Outputs (3144)

Dynamic Calibration of Trust and Trustworthiness in AI-Enabled Systems (2025)
Journal Article
Liebherr, M., Enkel, E., Law, E. L.-C., Mousavi, M. R., Sammartino, M., & Sieberg, P. (in press). Dynamic Calibration of Trust and Trustworthiness in AI-Enabled Systems. International Journal on Software Tools for Technology Transfer,

Trust is a multi-faceted phenomenon traditionally studied in human relations and more recently in human-machine interactions. In the context of AI-enabled systems, trust is about the belief of the user that in a given scenario the system is going to... Read More about Dynamic Calibration of Trust and Trustworthiness in AI-Enabled Systems.

1-in-3 vs. Not-All-Equal: Dichotomy of a broken promise (2025)
Journal Article
Ciardo, L., Kozik, M., Krokhin, A., Nakajima, T.-V., & Živný, S. (online). 1-in-3 vs. Not-All-Equal: Dichotomy of a broken promise. ACM Transactions on Computational Logic, https://doi.org/10.1145/3719007

The 1-in-3 and Not-All-Equal satisfiability problems for Boolean CNF formulas are two well-known NP-hard problems. In contrast, the promise 1-in-3 vs. Not-All-Equal problem can be solved in polynomial time. In the present work, we investigate this co... Read More about 1-in-3 vs. Not-All-Equal: Dichotomy of a broken promise.

Partitioned matching games for international kidney exchange (2025)
Journal Article
Benedek, M., Biro, P., Kern, W., Palvolgyi, D., & Paulusma, D. (online). Partitioned matching games for international kidney exchange. Mathematical Programming, https://doi.org/10.1007/s10107-025-02200-9

SKDU at De-Factify 4.0: Vision Transformer with Data Augmentation for AI-Generated Image Detection (2025)
Presentation / Conference Contribution
Malviya, S., Bhowmik, N., & Katsigiannis, S. (2025, February). SKDU at De-Factify 4.0: Vision Transformer with Data Augmentation for AI-Generated Image Detection. Presented at De-factify 4.0 Workshop at the 39th Annual AAAI Conference on Artificial Intelligence, Philadelphia, PA, USA

SKDU at De-Factify 4.0: Natural language features for AI-Generated Text-Detection (2025)
Presentation / Conference Contribution
Maviya, S., Arnau-González, P., Arevalillo-Herráez, M., & Katsigiannis, S. (2025, February). SKDU at De-Factify 4.0: Natural language features for AI-Generated Text-Detection. Presented at De-factify 4.0 Workshop at 39th Annual AAAI Conference on Artificial Intelligence, Philadelphia, PA, USA

Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction (2025)
Journal Article
Li, R., Qiao, T., Katsigiannis, S., Zhu, Z., & Shum, H. P. (online). Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction. IEEE Transactions on Circuits and Systems for Video Technology, https://doi.org/10.1109/TCSVT.2025.3539522

Pedestrian trajectory prediction aims to forecast future movements based on historical paths. Spatial-temporal (ST) methods often separately model spatial interactions among pedestrians and temporal dependencies of individuals. They overlook the dire... Read More about Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction.

3D data augmentation and dual-branch model for robust face forgery detection (2025)
Journal Article
Zhou, C., Li, F. W., Song, C., Zheng, D., & Yang, B. (2025). 3D data augmentation and dual-branch model for robust face forgery detection. Graphical Models, 138, Article 101255. https://doi.org/10.1016/j.gmod.2025.101255

We propose Dual-Branch Network (DBNet), a novel deepfake detection framework that addresses key limitations of existing works by jointly modeling 3D-temporal and fine-grained texture representations. Specifically, we aim to investigate how to (1) cap... Read More about 3D data augmentation and dual-branch model for robust face forgery detection.

The complexity of transitively orienting temporal graphs (2025)
Journal Article
Mertzios, G., Molter, H., Renken, M., Spirakis, P., & Zschoche, P. (2025). The complexity of transitively orienting temporal graphs. Journal of Computer and System Sciences, 150, Article 103630. https://doi.org/10.1016/j.jcss.2025.103630

T-BLAST: Token-Based Leveraging of Autonomous Spectrum Trading (2025)
Presentation / Conference Contribution
Singh, M., Bjorndahl, W., Aujla, G., & Camp, J. (2025, May). T-BLAST: Token-Based Leveraging of Autonomous Spectrum Trading. Presented at IEEE International Symposium on Dynamic Spectrum Access Networks, London

Complex Role of Circulating Triglycerides in Breast Cancer Onset and Survival: Insights From Two‐Sample Mendelian Randomization Study (2025)
Journal Article
Zhang, W., Li, Z., Huang, Y., Zhao, J., Guo, S., Wang, Q., Guo, S., & Li, Q. (2025). Complex Role of Circulating Triglycerides in Breast Cancer Onset and Survival: Insights From Two‐Sample Mendelian Randomization Study. Cancer Medicine, 14(4), Article e70698. https://doi.org/10.1002/cam4.70698

Background: Reducing the incidence of breast cancer and improving its prognosis have become significant challenges for the global public health sector. We aimed to investigate the role of circulating triglycerides in the occurrence and survival of pa... Read More about Complex Role of Circulating Triglycerides in Breast Cancer Onset and Survival: Insights From Two‐Sample Mendelian Randomization Study.