Results 111 to 120 of about 218,972 (244)

Context-Aware Multilevel Classification of Semantic Relations in Drug-Adverse Drug Reaction (ADR) Networks-Predicting Drug-Induced Liver Injury (DILI) as a Case Study. [PDF]

Chem Res Toxicol
Vos R, van Mulligen EM, Kors JA.
europepmc   +1 more source

Spatially Aware Pair Proposal for Panoptic Scene Graph Generation. [PDF]

Sensors (Basel)
Dai H, Zhang Q, Wang B, Liu M.
europepmc   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
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, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

A Closed-Loop Measurement Study of Runtime Governance in AI-Driven Smart Building Climate Control. [PDF]

Sensors (Basel)
Saydirasulovich NS, Davronbekov DA, Mubashirovich MM, Cho YI.   +3 more
europepmc   +1 more source

GA4GH phenopacket-driven characterization of genotype-phenotype correlations in Mendelian disorders. [PDF]

Am J Hum Genet
Rekerle L, Danis D, Rehburg F, Graefe ASL, Bily V, Caballero-Oteyza A, Cacheiro P, Chimirri L, Chong JX, Connelly E, de Vries BBA, Dingemans AJM, Duyzend MH, Freiberger T, Gehle P, Groza T, Hansen P, Jacobsen JOB, Klocperk A, Ladewig MS, Love MI, Marcello AJ, Mordhorst A, Munoz-Torres MC, Reese J, Schuetz C, Smedley D, Strauss T, Vladyka O, Zocche D, Thun S, Mungall CJ, Haendel MA, Robinson PN.   +33 more
europepmc   +1 more source

The ROBOKOP v1.0 knowledge graph system for exploring relationships between biomedical entities. [PDF]

Sci Rep
Fecho K, Morris E, Beasley JM, Carter EK, Chung CH, Edwards S, Glymph D, Korn D, Olasunkanmi O, Pasfield C, Ramon M, Richardson J, Tucker N, Williams D, Zheng W, Tropsha A, Bizon C.   +16 more
europepmc   +1 more source

Rethinking Interpretive Social Science From a Schutzian Perspective

Symbolic Interaction, EarlyView.
Ekkehard Coenen
wiley   +1 more source

Enhancing microstructural fidelity in near‐field high‐energy diffraction microscopy reconstruction with Noise2Void denoising

Journal of Applied Crystallography, EarlyView.
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, Dishant Beniwal, Derek McLain, Jonathan Almer, Jun-Sang Park, Peter Kenesei, Hemant Sharma   +6 more
wiley   +1 more source

Human-like scene graph generation and evaluation. [PDF]

Multimed Tools Appl
Milewski V, Moens MF, Trusca MM.
europepmc   +1 more source

Avoiding background knowledge: literature based discovery from important information. [PDF]

BMC Bioinformatics, 2023
Preiss J.
europepmc   +1 more source