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SYCL compute kernels for ExaHyPE (2024)
Conference Proceeding
Loi, C. M., Bockhorst, H., & Weinzierl, T. (2024). SYCL compute kernels for ExaHyPE. In Proceedings of the 2024 SIAM Conference on Parallel Processing for Scientific Computing (PP) (90-103). https://doi.org/10.1137/1.9781611977967.8

We discuss three SYCL realisations of a simple Finite Volume scheme over multiple Cartesian patches. The realisation flavours differ in the way how they map the compute steps onto loops and tasks: We compare an implementation that is exclusively usin... Read More about SYCL compute kernels for ExaHyPE.

Decentralized Multi-Agent Coverage Path Planning with Greedy Entropy Maximization (2024)
Conference Proceeding
Champagnie, K., Arvin, F., & Hu, J. (2024). Decentralized Multi-Agent Coverage Path Planning with Greedy Entropy Maximization. In 2024 IEEE International Conference on Industrial Technology (ICIT). https://doi.org/10.1109/ICIT58233.2024.10540869

In this paper, we present GEM, a novel approach to online coverage path planning in which a swarm of homogeneous agents act to maximize the entropy of pheromone deposited within their environment. We show that entropy maximization (EM) coincides with... Read More about Decentralized Multi-Agent Coverage Path Planning with Greedy Entropy Maximization.

Temporal Graph Realization from Fastest Paths (2024)
Conference Proceeding
Klobas, N., Mertzios, G., Molter, H., & Spirakis, P. (2024). Temporal Graph Realization from Fastest Paths. In 3rd Symposium on Algorithmic Foundations of Dynamic Networks (SAND 2024) (16:1-16:18). https://doi.org/10.4230/LIPIcs.SAND.2024.16

In this paper we initiate the study of the temporal graph realization problem with respect to the fastest path durations among its vertices, while we focus on periodic temporal graphs. Given an n × n matrix D and a Δ ∈ ℕ, the goal is to construct a Δ... Read More about Temporal Graph Realization from Fastest Paths.

Brief Announcement: On the Existence of δ-Temporal Cliques in Random Simple Temporal Graphs (2024)
Conference Proceeding
Mertzios, G., Nikoletseas, S., Raptopoulos, C., & Spirakis, P. (2024). Brief Announcement: On the Existence of δ-Temporal Cliques in Random Simple Temporal Graphs. In 3rd Symposium on Algorithmic Foundations of Dynamic Networks (SAND 2024) (27:1-27:5). https://doi.org/10.4230/LIPIcs.SAND.2024.27

We consider random simple temporal graphs in which every edge of the complete graph K_n appears once within the time interval [0,1] independently and uniformly at random. Our main result is a sharp threshold on the size of any maximum δ-clique (namel... Read More about Brief Announcement: On the Existence of δ-Temporal Cliques in Random Simple Temporal Graphs.

The Matter of Captchas: An Analysis of a Brittle Security Feature on the Modern Web (2024)
Conference Proceeding
Ousat, B., Schafir, E., Tofighi, M., Hoang, D., Nguyen, C., Arshad, S., …Kharraz, A. (2024). The Matter of Captchas: An Analysis of a Brittle Security Feature on the Modern Web. In WWW '24: Proceedings of the ACM on Web Conference 2024 (1835-1846). https://doi.org/10.1145/3589334.3645619

The web ecosystem is a fast-paced environment. In this dynamic landscape, new security features are offered one after another to enhance the security and robustness of web applications and the operations they handle. This paper focuses on a fragile b... Read More about The Matter of Captchas: An Analysis of a Brittle Security Feature on the Modern Web.

Mind The Gap: Designers and Standards on Algorithmic System Transparency for Users (2024)
Conference Proceeding
Schor, B. G. S., Norval, C., Charlesworth, E., & Singh, J. (2024). Mind The Gap: Designers and Standards on Algorithmic System Transparency for Users. In CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems (1-16). https://doi.org/10.1145/3613904.3642531

Many call for algorithmic systems to be more transparent, yet it is often unclear for designers how to do so in practice. Standards are emerging that aim to support designers in building transparent systems, e.g by setting testable transparency level... Read More about Mind The Gap: Designers and Standards on Algorithmic System Transparency for Users.

Advanced VR Calibration for Upper Limb Rehabilitation: Making Immersive Environments Accessible (2024)
Conference Proceeding
Herrera, V., Reyes-Guzmán, A., Vallejo, D., Castro-Schez, J., Monekosso, D., Carlos, G., & Albusac, J. (2024). Advanced VR Calibration for Upper Limb Rehabilitation: Making Immersive Environments Accessible. In Proceedings of the 26th International Conference on Enterprise Information Systems (378-389). https://doi.org/10.5220/0012624600003690

The creation of accessible spaces is essential for patients with motor injuries to conduct therapy safely and effectively. Disruptive technologies such as Virtual Reality (VR) are increasingly being used as a complement to traditional therapy, with e... Read More about Advanced VR Calibration for Upper Limb Rehabilitation: Making Immersive Environments Accessible.

UKACM Proceedings 2024 (2024)
Conference Proceeding
(2024). UKACM Proceedings 2024. In W. M. Coombs (Ed.), Proceedings of the 2024 UK Association for Computational Mechanics Conference

Machine Learning Approaches for EM Signature Analysis in Chipless RFID Technology (2024)
Conference Proceeding
Rather, N., Simorangkir, R. B. B., Buckley, J. L., O'Flynn, B., & Tedesco, S. (2024). Machine Learning Approaches for EM Signature Analysis in Chipless RFID Technology. In 2024 18th European Conference on Antennas and Propagation (EuCAP). https://doi.org/10.23919/eucap60739.2024.10501388

In this paper, for the first time, we provide a comprehensive review of Machine Learning (ML) approaches in Chipless Radio Frequency Identification (CRFID) technology, which is a fast-developing sector with applications in inventory management, anti-... Read More about Machine Learning Approaches for EM Signature Analysis in Chipless RFID Technology.

U3DS3 : Unsupervised 3D Semantic Scene Segmentation (2024)
Conference Proceeding
Liu, J., Yu, Z., Breckon, T. P., & Shum, H. P. H. (2024). U3DS3 : Unsupervised 3D Semantic Scene Segmentation. In 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (3747-3756). https://doi.org/10.1109/WACV57701.2024.00372

Contemporary point cloud segmentation approaches largely rely on richly annotated 3D training data. However , it is both time-consuming and challenging to obtain consistently accurate annotations for such 3D scene data. Moreover, there is still a lac... Read More about U3DS3 : Unsupervised 3D Semantic Scene Segmentation.

CXR-IRGen: An Integrated Vision and Language Model for the Generation of Clinically Accurate Chest X-Ray Image-Report Pairs (2024)
Conference Proceeding
Shentu, J., & Al Moubayed, N. (2024). CXR-IRGen: An Integrated Vision and Language Model for the Generation of Clinically Accurate Chest X-Ray Image-Report Pairs. In 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (5200-5209). https://doi.org/10.1109/WACV57701.2024.00513

Chest X-Ray (CXR) images play a crucial role in clinical practice, providing vital support for diagnosis and treatment. Augmenting the CXR dataset with synthetically generated CXR images annotated with radiology reports can enhance the performance of... Read More about CXR-IRGen: An Integrated Vision and Language Model for the Generation of Clinically Accurate Chest X-Ray Image-Report Pairs.

L'acqua nei teatri: una panoramica (2024)
Conference Proceeding
Gottardo, K. (in press). L'acqua nei teatri: una panoramica. In Architetture e sistemi costruttivi dei teatri e degli anfiteatri antichi nell'area adriatica

Code Gradients: Towards Automated Traceability of LLM-Generated Code (2024)
Conference Proceeding
North, M., Atapour-Abarghouei, A., & Bencomo, N. (in press). Code Gradients: Towards Automated Traceability of LLM-Generated Code.

Large language models (LLMs) have recently seen huge growth in capability and usage. Within software engineering, LLMs are increasingly being used by developers to generate code. Code generated by an LLM can be seen essentially a continuous mapping f... Read More about Code Gradients: Towards Automated Traceability of LLM-Generated Code.