A historical maritime knowledge graph constructed solely from AIS data enables global vessel travel-time predictions via stratified speed statistics and hierarchical querying.
Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol
6 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 6verdicts
UNVERDICTED 6representative citing papers
Industrial case study finds no performance reason to prefer C over Rust for microcontroller firmware and shows Ariel OS Rust runtime smaller than state-of-the-art bare-metal C.
MetaErr introduces a meta-model that forecasts per-sample prediction errors in deep neural networks solely from base model performance observations, outperforming baselines and boosting pseudo-labeling on three computer vision datasets.
Syn-TurnTurk is a synthetic Turkish dialogue dataset generated with Qwen LLMs that supports turn-taking prediction models reaching 0.839 accuracy and 0.910 AUC.
VULCAN applies vision-language models to multi-agent cooperative navigation in fire-simulated indoor environments, revealing failures of existing vision-based methods.
ReXCL automates extraction of requirements into a schema and their classification via adaptive fine-tuning of encoder models to improve efficiency and accuracy in software development.
citing papers explorer
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Historical Knowledge Graphs for Global Maritime Estimated Time of Arrival
A historical maritime knowledge graph constructed solely from AIS data enables global vessel travel-time predictions via stratified speed statistics and hierarchical querying.
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Embedded Rust or C Firmware? Lessons from an Industrial Microcontroller Use Case with Ariel OS
Industrial case study finds no performance reason to prefer C over Rust for microcontroller firmware and shows Ariel OS Rust runtime smaller than state-of-the-art bare-metal C.
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MetaErr: Towards Predicting Error Patterns in Deep Neural Networks
MetaErr introduces a meta-model that forecasts per-sample prediction errors in deep neural networks solely from base model performance observations, outperforming baselines and boosting pseudo-labeling on three computer vision datasets.
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Syn-TurnTurk: A Synthetic Dataset for Turn-Taking Prediction in Turkish Dialogues
Syn-TurnTurk is a synthetic Turkish dialogue dataset generated with Qwen LLMs that supports turn-taking prediction models reaching 0.839 accuracy and 0.910 AUC.
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VULCAN: Vision-Language-Model Enhanced Multi-Agent Cooperative Navigation for Indoor Fire-Disaster Response
VULCAN applies vision-language models to multi-agent cooperative navigation in fire-simulated indoor environments, revealing failures of existing vision-based methods.
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Read, Extract, Classify: A Tool for Smarter Requirements Engineering
ReXCL automates extraction of requirements into a schema and their classification via adaptive fine-tuning of encoder models to improve efficiency and accuracy in software development.