Results 81 to 90 of about 3,494,638 (328)

Global Entity Ranking Across Multiple Languages

, 2017
We present work on building a global long-tailed ranking of entities across multiple languages using Wikipedia and Freebase knowledge bases. We identify multiple features and build a model to rank entities using a ground-truth dataset of more than 10 ...
Bhattacharyya, Prantik, Spasojevic, Nemanja   +1 more
core   +1 more source

Acoustic Measures Capture Speech Dysfunction in Spinocerebellar Ataxia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxias (SCA) are hereditary cerebellar degenerative disorders with a common feature of dysarthria, involving impaired phonatory and articulatory control of speech, thereby affecting social communication. In this study, we investigated whether acoustic measures could objectively measure speech dysfunction and identify
Zena Fadel, Charlotte Hennessey, Hannah Lee, Pia Parekh, Sheng‐Han Kuo, Ami Kumar   +5 more
wiley   +1 more source

Rapeseed mapping using machine learning methods and Sentinel-1 time series coupled with growing degree-days information

Science of Remote Sensing
In light of recent escalations of geopolitical conflicts around the world, mapping rapeseed areas has garnered great interest given its importance to food security. Sentinel-1 (S1) SAR data was used for timely and regular rapeseed mapping. By coupling S1
Sami Najem, Nicolas Baghdadi, Ya Gao, Hassan Bazzi, Saeideh Maleki, Cassio Fraga Dantas, Dino Ienco   +6 more
doaj   +1 more source

Utilizing deep learning via the 3D U-net neural network for the delineation of brain stroke lesions in MRI image

Scientific Reports, 2023
The segmentation of acute stroke lesions plays a vital role in healthcare by assisting doctors in making prompt and well-informed treatment choices. Although Magnetic Resonance Imaging (MRI) is a time-intensive procedure, it produces high-fidelity images
Parisa Soleimani, Navid Farezi
doaj   +1 more source

Variably Protease‐Sensitive Prionopathy: Two New Cases With Motor Neuron‐Dementia Syndrome

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We describe two patients with variably protease‐sensitive prionopathy (VPSPr) who developed progressive upper motor neuron symptoms, insomnia, behavioral and cognitive decline, compatible with primary lateral sclerosis associated with frontotemporal dementia (FTD).
María Elena Erro, María Victoria Zelaya, Hasier Eraña, Javier Sánchez Ruiz de Gordoa, Fermín García‐Amigot, Anika Simonovska‐Serra, María Cristina Caballero, Isidre Ferrer, Ellen Gelpi, Ivonne Jericó, Joaquín Castilla   +10 more
wiley   +1 more source

Bayesian method for comparing F1 scores in the absence of a gold standard

Journal of Biopharmaceutical Statistics
In the field of medicine, evaluating the diagnostic performance of new diagnostic methods can be challenging, especially in the absence of a gold standard. This study proposes a methodology for assessing the performance of diagnostic tests by estimating the posterior distribution of the F1 score using latent class analysis, without relying on a gold ...
Jun Tamura, Yusuke Saigusa, Junichi Fujita, Kouji Yamamoto   +3 more
openaire   +3 more sources

Comprehensive evaluation of structural variant genotyping methods based on long-read sequencing data

BMC Genomics, 2022
Background Structural variants (SVs) play a crucial role in gene regulation, trait association, and disease in humans. SV genotyping has been extensively applied in genomics research and clinical diagnosis.
Xiaoke Duan, Mingpei Pan, Shaohua Fan
doaj   +1 more source

A Fully Convolutional Network for Semantic Labeling of 3D Point Clouds

, 2017
When classifying point clouds, a large amount of time is devoted to the process of engineering a reliable set of features which are then passed to a classifier of choice.
Ientilucci, Emmett J., Kelbe, David J., Salvaggio, Carl, Yousefhussien, Mohammed   +3 more
core   +1 more source

Approaches

A History of American Puritan Literature, 2020
— Effective prediction models are required to identify those at risk since heart disease tends to be one of the main causes of death globally. In this work, the use of Logistic Regression (LR) , Random Forest (RF), decision Tree (DT), K-Nearest Neighbors
Franz Pöchhacker
semanticscholar   +1 more source

Is Young's Modulus a Critical Coating Property Determining Fouling‐Release Performance of Marine Coatings?

Advanced Engineering Materials, EarlyView.
The release of foulers from protective marine coatings is determined by several interrelated material properties, including the strength of Young's modulus, the flexibility of chain segments, the surface free energy, and the magnitude of hydrodynamic stress.
Johann C. Schaal, Andreas Brinkmann, Andreas Hartwig   +2 more
wiley   +1 more source