Results 141 to 150 of about 2,236,896 (335)
Using language models and ontology topology to perform semantic mapping of traits between biomedical datasets. [PDF]
Bioinformatics, 2023 Liu Y, Elsworth BL, Gaunt TR.
europepmc +1 more source
Advanced Science, EarlyView.Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka +3 more
wiley +1 more source
Representation of Semantic Mappings
, 2005 The aim of this breakout session was to chart the landscape of existing approaches for representing mappings between heterogeneous models, identify common ideas and formulate research questions to be addressed in the future. In the session, the discussion mainly concerned three aspects: The nature of mappings, existing proposals for mappings and ...
Stuckenschmidt, Heiner, Uschold, Michael
openaire +3 more sources
Cognitive Trajectories from Preclinical Alzheimer's Disease to Dementia
Advanced Science, EarlyView.A continuous, multi‐domain characterization of cognitive decline across the Alzheimer's disease spectrum identifies when individual cognitive measures become abnormal. Episodic memory declines first, followed by executive function, language, processing speed, and visuospatial abilities, supporting improved clinical interpretation and optimized endpoint
Fredrik Öhman +3 more
wiley +1 more source
Integrated design-sense-plan architecture for autonomous geometric-semantic mapping with UAVs. [PDF]
Front Robot AI, 2022 Pimentel de Figueiredo R +3 more
europepmc +1 more source
Multimodal Cross‐Attentive Graph‐Based Framework for Predicting In Vivo Endocrine Disruptors
Advanced Science, EarlyView.A multimodal cross‐attentive graph neural network integrates molecular graphs with androgen and estrogen adverse outcome pathway (AOP)–anchored in vitro assay signals to predict in vivo endocrine disruption. By fusing information on Tier‐1 AOP logits with chemical structures, the framework achieves high accuracy and provides assay‐traceable ...
Eder Soares de Almeida Santos +6 more
wiley +1 more source
IEEE AccessSimultaneous Localization and Mapping (SLAM) suffers from localization and reconstruction challenges in large-scale outdoor environments due to dynamic features. Although methods that address dynamic features in scenes rely on semantic segmentation, they
Gang Li +4 more
doaj +1 more source
Monocular camera and laser based semantic mapping system with temporal-spatial data association for indoor mobile robots. [PDF]
Multimed Tools Appl, 2023 Song X, Zhijiang Z, Liang X, Huaidong Z.
europepmc +1 more source
Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface
Advanced Science, EarlyView.Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley +1 more source
Incremental Interpretation: Applications, Theory, and Relationship to Dynamic Semantics
, 1994 Why should computers interpret language incrementally? In recent years psycholinguistic evidence for incremental interpretation has become more and more compelling, suggesting that humans perform semantic interpretation before constituent boundaries ...
Cooper, Robin, Milward, David
core +2 more sources