Outputs (191)

The Complexity of Matching Games: A Survey (2023)
Journal Article
Benedek, M., Biro, P., Johnson, M., Paulusma, D., & Ye, X. (2023). The Complexity of Matching Games: A Survey. Journal of Artificial Intelligence Research, 77, 459-485. https://doi.org/10.1613/jair.1.14281

Matching games naturally generalize assignment games, a well-known class of cooperative games. Interest in matching games has grown recently due to some breakthrough results and new applications. This state-of-the-art survey provides an overview of m... Read More about The Complexity of Matching Games: A Survey.

Compliance Checking of Cloud Providers: Design and Implementation (2023)
Journal Article
Barati, M., Adu-Duodu, K., Rana, O., Aujla, G. S., & Ranjan, R. (2023). Compliance Checking of Cloud Providers: Design and Implementation. Distributed Ledger Technologies: Research and Practice, 2(2), 1-20. https://doi.org/10.1145/3585538

The recognition of capabilities supplied by cloud systems is presently growing. Collecting or sharing healthcare data and sensitive information especially during the Covid-19 pandemic has motivated organizations and enterprises to leverage the upside... Read More about Compliance Checking of Cloud Providers: Design and Implementation.

Finding Matching Cuts in H-Free Graphs (2023)
Journal Article
Lucke, F., Paulusma, D., & Ries, B. (2023). Finding Matching Cuts in H-Free Graphs. Algorithmica, 85(10), 3290-3322. https://doi.org/10.1007/s00453-023-01137-9

The well-known NP-complete problem MATCHING CUT is to decide if a graph has a matching that is also an edge cut of the graph. We prove new complexity results for MATCHING CUT restricted to H-free graphs, that is, graphs that do not contain some fixed... Read More about Finding Matching Cuts in H-Free Graphs.

GDPR compliance verification through a user-centric blockchain approach in multi-cloud environment (2023)
Journal Article
Ahmad, H., & Aujla, G. S. (2023). GDPR compliance verification through a user-centric blockchain approach in multi-cloud environment. Computers and Electrical Engineering, 109, https://doi.org/10.1016/j.compeleceng.2023.108747

With cloud-hosted web applications becoming ubiquitous, the security risks presented for user personal data that is migrated to the cloud are at an all-time high. When using a cloud-hosted web application, users only ever interact with web interfaces... Read More about GDPR compliance verification through a user-centric blockchain approach in multi-cloud environment.

Hierarchical Graph Convolutional Networks for Action Quality Assessment (2023)
Journal Article
Zhou, K., Ma, Y., Shum, H. P., & Liang, X. (online). Hierarchical Graph Convolutional Networks for Action Quality Assessment. IEEE Transactions on Circuits and Systems for Video Technology, 33(12), 7749 - 7763. https://doi.org/10.1109/TCSVT.2023.3281413

Action quality assessment (AQA) automatically evaluates how well humans perform actions in a given video, a technique widely used in fields such as rehabilitation medicine, athletic competitions, and specific skills assessment. However, existing work... Read More about Hierarchical Graph Convolutional Networks for Action Quality Assessment.

Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation (2023)
Journal Article
Yu, J., Cristea, A. I., Harit, A., Sun, Z., Aduragba, O. T., Shi, L., & Al Moubayed, N. (2023). Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation. AI open, 4, 19-32. https://doi.org/10.1016/j.aiopen.2023.05.001

This paper explores deep latent variable models for semi-supervised paraphrase generation, where the missing target pair for unlabelled data is modelled as a latent paraphrase sequence. We present a novel unsupervised model named variational sequence... Read More about Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation.

An Inverted Pyramid Acceleration Structure Guiding Foveated Sphere Tracing for Implicit Surfaces in VR (2023)
Presentation / Conference Contribution
Polychronakis, A., Koulieris, G. A., & Mania, K. (2023, December). An Inverted Pyramid Acceleration Structure Guiding Foveated Sphere Tracing for Implicit Surfaces in VR. Presented at Eurographics Symposium on Rendering

Rehab-Immersive: A framework to support the development of virtual reality applications in upper limb rehabilitation (2023)
Journal Article
Herrera, V., Vallejo, D., Castro-Schez, J. J., Monekosso, D. N., de los Reyes, A., Glez-Morcillo, C., & Albusac, J. (2023). Rehab-Immersive: A framework to support the development of virtual reality applications in upper limb rehabilitation. SoftwareX, 23, Article 101412. https://doi.org/10.1016/j.softx.2023.101412

In this article, we present a framework, called Rehab-Immersive (RI), for the development of virtual reality clinical applications as a complement to the rehabilitation of patients with spinal cord injuries. RI addresses the interaction of patients w... Read More about Rehab-Immersive: A framework to support the development of virtual reality applications in upper limb rehabilitation.

User-Defined Hand Gesture Interface to Improve User Experience of Learning American Sign Language (2023)
Book Chapter
Wang, J., Ivrissimtzis, I., Li, Z., Zhou, Y., & Shi, L. (2023). User-Defined Hand Gesture Interface to Improve User Experience of Learning American Sign Language. In C. Frasson, P. Mylonas, & C. Troussas (Eds.), Augmented Intelligence and Intelligent Tutoring Systems: 19th International Conference, ITS 2023, Corfu, Greece, June 2-5, 2023, Proceedings (479-490). Springer Verlag. https://doi.org/10.1007/978-3-031-32883-1_43

Sign language can make possible effective communication between hearing and deaf-mute people. Despite years of extensive pedagogical research, learning sign language remains a formidable task, with the majority of the current systems relying extensiv... Read More about User-Defined Hand Gesture Interface to Improve User Experience of Learning American Sign Language.

INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network (2023)
Journal Article
Chen, S., Atapour-Abarghouei, A., Ho, E. S., & Shum, H. P. (2023). INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network. Software impacts, 17, Article 100517. https://doi.org/10.1016/j.simpa.2023.100517

We present a software that predicts non-cleft facial images for patients with cleft lip, thereby facilitating the understanding, awareness and discussion of cleft lip surgeries. To protect patients’ privacy, we design a software framework using image... Read More about INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network.