A two-stage framework combining conditional flow matching with a topology-aware power-flow-guided refiner improves the accuracy and physical consistency of missing power grid data imputation.
A large, curated, open -source stroke neuroimaging dataset to improve lesion segmentation algorithms
8 Pith papers cite this work. Polarity classification is still indexing.
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BDIViz is a visual analytics system that uses an ensemble of matching algorithms plus LLM validation and interactive heatmaps to improve accuracy and reduce time in biomedical schema matching.
K-means clustering on 1219 Argoverse 2 deceleration events identifies four stable modes with bootstrap ARI 0.897, and an early HistGradientBoosting classifier reaches macro-F1 0.758 with modest scene-context gains.
Radiogenomic models using MRI features from multiple public datasets predicted the M0 macrophage immune signature in IDH-wildtype glioblastoma with mean balanced accuracy 0.67 and precision 0.89 on held-out cohorts.
The authors compile an ordinal odor strength dataset for over 2,000 molecules from public sources and demonstrate supervised ML prediction of intensity categories, identifying molecular size, polarity, rings, and branching as key drivers via SHAP analysis.
Zero-shot LLMs achieve near-chance ROC-AUC (~0.5) on ECG image classification while CNN models reach 0.92-0.94 internally and 0.85-0.86 externally on PTB-XL.
Cardiac Stability Theory derives a composite Cardiac Stability Index from four axioms and transfers an ECG model to smartphone PPG for non-invasive continuous cardiac monitoring.
Post-hoc normalizing flows for OOD detection in medical imaging achieve 84.61% AUROC on MedOOD and 93.8% on MedMNIST, outperforming ViM, MDS, and ReAct.
citing papers explorer
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Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks
A two-stage framework combining conditional flow matching with a topology-aware power-flow-guided refiner improves the accuracy and physical consistency of missing power grid data imputation.
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BDIViz: An Interactive Visualization System for Biomedical Schema Matching with LLM-Powered Validation
BDIViz is a visual analytics system that uses an ensemble of matching algorithms plus LLM validation and interactive heatmaps to improve accuracy and reduce time in biomedical schema matching.
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Urban Deceleration Behavior Modes Under Scene Context: An Early-Kinematic Classifier from Argoverse 2 Multi-Agent Trajectories
K-means clustering on 1219 Argoverse 2 deceleration events identifies four stable modes with bootstrap ARI 0.897, and an early HistGradientBoosting classifier reaches macro-F1 0.758 with modest scene-context gains.
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Predictive Radiomics for Evaluation of Cancer Immune SignaturE in Glioblastoma: the PRECISE-GBM study
Radiogenomic models using MRI features from multiple public datasets predicted the M0 macrophage immune signature in IDH-wildtype glioblastoma with mean balanced accuracy 0.67 and precision 0.89 on held-out cohorts.
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Machine learning for smell: Ordinal odor strength prediction of molecular perfumery components
The authors compile an ordinal odor strength dataset for over 2,000 molecules from public sources and demonstrate supervised ML prediction of intensity categories, identifying molecular size, polarity, rings, and branching as key drivers via SHAP analysis.
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Physiology-Aware CNN and Zero-Shot Multimodal LLMs for ECG Image Classification: A Comparative Study
Zero-shot LLMs achieve near-chance ROC-AUC (~0.5) on ECG image classification while CNN models reach 0.92-0.94 internally and 0.85-0.86 externally on PTB-XL.
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Cardiac Stability Theory: An Axiomatically Grounded Framework for Continuous Cardiac Health Monitoring via Smartphone Photoplethysmography
Cardiac Stability Theory derives a composite Cardiac Stability Index from four axioms and transfers an ECG model to smartphone PPG for non-invasive continuous cardiac monitoring.
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Safeguarding AI in Medical Imaging: Post-Hoc Out-of-Distribution Detection with Normalizing Flows
Post-hoc normalizing flows for OOD detection in medical imaging achieve 84.61% AUROC on MedOOD and 93.8% on MedMNIST, outperforming ViM, MDS, and ReAct.