From the 3 of 14 papers with an AI index.
2 citations
- Instituto de Astrofísica de CanariasES4 papers
- The University of QueenslandAU4 papers
- The University of SydneyAU4 papers
- Universidad de La LagunaES4 papers
- Barcelona Institute of Science and TechnologyES3 papers
- California Institute of TechnologyUS3 papers
- Centro de Investigaciones Energéticas, Medioambientales y TecnológicasES3 papers
- Fermi National Accelerator LaboratoryUS3 papers
- Institució Catalana de Recerca i Estudis AvançatsES3 papers
- Institute of Science and Technology3 papers
- Laboratório Interinstitucional de e-AstronomiaBR3 papers
- Lancaster UniversityGB3 papers
14 papers
Link prediction on multi-relational graphs from an influence propagation perspective
Zidu Yin, Yuankai Qi, Dong Gong +3
Predicting the existence and type of links (edges) between nodes in a multi-relational graph is key for applications from social interaction prediction to knowledge relationship id…
MalTotal: Cost-Effective and Language-Agnostic Malicious Code Poisoning Detection for Millions of Repositories
Jian Zhao, Shenao Wang, Qingyang Wu +3
The widespread adoption of open source software (OSS) has introduced significant security risks, with malicious code poisoning attacks increasingly targeting public package registr…
Generative AI and linguistic diversity in academic writing and publishing: Perspectives from World Englishes
Kingsley Ugwuanyi, Christian Mair, Sender Dovchin +3
The paper examines how generative AI tools affect linguistic diversity in academic writing, discussing both the risk of marginalising non‑standard English varieties and the potenti…
Agentic Service-Oriented Computing: A Manifesto for the Next Frontier of Service-Oriented Computing
Amin Beheshti, Rong N. Chang, Boualem Benatallah +7
The paper proposes Agentic Service-Oriented Computing (ASOC), a framework for engineering large‑language‑model‑powered autonomous agents as services and managing their composition,…
Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selection and Approximation
Kun Fang, Qinghua Tao, Mingzhen He +6
The paper proposes a kernel PCA based method for out-of-distribution detection that learns a discriminative non-linear subspace using a newly designed Cosine-Gaussian kernel and in…
NEUROSYMLAND: Neuro-Symbolic Landing-Site Assessment for Robust and Edge-Deployable UAV Autonomy
Weixian Qian, Tianyi Yang, Sebastian Schroder +5
Safe landing-site assessment in unstructured environments remains a key challenge for autonomous UAV deployment, as vision-only learning approaches often degrade under terrain vari…