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Notes on classification
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Electronic Navigational Chart Change Classification
The authors propose an automated method to classify changes in Electronic Navigational Charts (ENCs), which are used in maritime navigation systems. The proposed approach involves encoding complex vector data changes…
What Does It Take to Detect an AI Agent? Minimal Feature Sets for Behavioral Detection under Browser Automation
Researchers present a new AI detection framework that can distinguish between humans, bots, and AI agents. The study finds that existing binary classifiers struggle to identify AI agents as they browse the web through…
Finding H. pylori in the Fine Print: Evidence-Linked Multi-Agent Case Finding from Gastric Biopsy Reports
Researchers evaluated a system called nMAS for extracting information from gastric biopsy reports to identify Helicobacter pylori infection. The system achieved high accuracy in classifying samples, and could…
What Types of Human-AI Teams Exist?
Researchers analyzed 53 papers about human-AI teams and found that there are five main clusters or types of teams: AI Assistant, Ad-hoc Dependency, Ad-hoc Forced Dependency, Paired Equanimity, and Group Equanimity…
A Multi-task Mixture of Experts Framework for Malware Classification, Packing Detection, and Family Attribution
Researchers propose a new multi-task malware analysis framework based on Mixture of Experts (MoE) architectures. The system can classify malware families, detect packed versus unpacked malware, and identify malware…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
