PCA-Triage adaptively sets sensor sampling rates from incremental PCA loadings to meet bandwidth limits while preserving downstream inference F1 scores close to full-data performance.
Statistical comparisons of classifiers over multiple data sets
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
Entity embeddings reach AUC-ROC 0.9612 on IEEE-CIS fraud data, statistically tied with CatBoost and superior to tier group encoding (0.9548), with CatBoost leading on AUC-PR.
Comparative benchmark finds CNN detectors deliver higher efficiency than transformer detectors for weed detection in tomatoes while transformers capture more context at greater computational cost.
citing papers explorer
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PCA-Driven Adaptive Sensor Triage for Edge AI Inference
PCA-Triage adaptively sets sensor sampling rates from incremental PCA loadings to meet bandwidth limits while preserving downstream inference F1 scores close to full-data performance.
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Interpretable vs Learned Encoders for High-Cardinality Fraud Detection
Entity embeddings reach AUC-ROC 0.9612 on IEEE-CIS fraud data, statistically tied with CatBoost and superior to tier group encoding (0.9548), with CatBoost leading on AUC-PR.
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Evaluation of Convolutional and Transformer-Based Detectors for Weed Detection in Tomato Plantations
Comparative benchmark finds CNN detectors deliver higher efficiency than transformer detectors for weed detection in tomatoes while transformers capture more context at greater computational cost.