Shared Principles of Individuation Underpin Object-Event Correspondences Cross-Linguistically. [PDF]
Hye-Yeon Lee S, Papafragou A.
europepmc +1 more source
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source
Spatially Aware Pair Proposal for Panoptic Scene Graph Generation. [PDF]
Dai H, Zhang Q, Wang B, Liu M.
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CASBERT: BERT-based retrieval for compositely annotated biosimulation model entities. [PDF]
Munarko Y, Rampadarath A, Nickerson DP.
europepmc +1 more source
Knowledge graph embedding and alignment of incomplete electronic health records for critical care applications. [PDF]
Mehryar S, Dumontier M.
europepmc +1 more source
GA4GH phenopacket-driven characterization of genotype-phenotype correlations in Mendelian disorders. [PDF]
Rekerle L +33 more
europepmc +1 more source
The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests. [PDF]
Manzella F +3 more
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Rethinking Interpretive Social Science From a Schutzian Perspective
Symbolic Interaction, EarlyView.
Ekkehard Coenen
wiley +1 more source
A self‐supervised deep learning model, Noise2Void (N2V), denoises near‐field high‐energy diffraction microscopy diffraction images without requiring unobtainable clean data. These images allow for lower segmentation thresholds and detection of smaller and weaker diffraction peaks, which are often discarded or overlooked with conventional image ...
Xiaoxu Guo +6 more
wiley +1 more source
Neuro-Symbolic Class-Contrast Evidence Audit for Reliable Cross-Subject Wearable Activity Recognition. [PDF]
Li Q, Qu Z, Yan M, Zhang X.
europepmc +1 more source

