Tootfinder

Adaptive alert prioritisation in security operations centres via learning to defer with human feedback
Fatemeh Jalalvand, Mohan Baruwal Chhetri, Surya Nepal, C\'ecile Paris
https://arxiv.org/abs/2506.18462

Adaptive alert prioritisation in security operations centres via learning to defer with human feedback
Alert prioritisation (AP) is crucial for security operations centres (SOCs) to manage the overwhelming volume of alerts and ensure timely detection and response to genuine threats, while minimising alert fatigue. Although predictive AI can process large alert volumes and identify known patterns, it struggles with novel and evolving scenarios that demand contextual understanding and nuanced judgement. A promising solution is Human-AI teaming (HAT), which combines human expertise with AI's comput…

Neural Prioritisation for Web Crawling
Francesza Pezzuti, Sean MacAvaney, Nicola Tonellotto
https://arxiv.org/abs/2506.16146 https://…

Neural Prioritisation for Web Crawling
Given the vast scale of the Web, crawling prioritisation techniques based on link graph traversal, popularity, link analysis, and textual content are frequently applied to surface documents that are most likely to be valuable. While existing techniques are effective for keyword-based search, both retrieval methods and user search behaviours are shifting from keyword-based matching to natural language semantic matching. The remarkable success of applying semantic matching and quality signals dur…

A Method for Rapid Area Prioritisation in Flood Disaster Response
Moritz Schneider, Lukas Halekotte, Tina Comes, Frank Fiedrich
https://arxiv.org/abs/2506.18423

A Method for Rapid Area Prioritisation in Flood Disaster Response
In flood disasters, decision-makers have to rapidly prioritise the areas that need assistance based on a high volume of information. While approaches that combine GIS with Bayesian networks are generally effective in integrating multiple spatial variables and can thus reduce cognitive load, existing models in the literature are not equipped to address the time pressure and information-scape that is typical in a flood. To address the lack of a model for area prioritisation in flood disaster resp…