Results 241 to 250 of about 2,605,876 (309)

Construction and optimization of deep learning intent classification model for smart home dialogue. [PDF]

PLoS One
Lu Q.
europepmc   +1 more source

SEMU-Net: A Structure-Enhanced Multi-Branch U-Shaped Network for High-Resolution Remote Sensing Land-Cover Segmentation. [PDF]

Sensors (Basel)
Lu B, Li M, Xue X, Zhang W, Zhao X, Yang J, Tian Y, Wang W.   +7 more
europepmc   +1 more source

BFMambaNet: Boundary-Frequency-Guided Global Semantic Mamba Network for Fine-Grained <i>Camellia oleifera</i> Leaf Disease Segmentation. [PDF]

Plants (Basel)
Li X, Su F, Yan Y, Peng S, Li L, Wan F, Liu R.   +6 more
europepmc   +1 more source

Metadata-based Assessment of SNOMED CT and LOINC Adoption Across 800 000 Swiss Patients

Touré V, Armida J, Witte H, Unni D, Kalt K, Endrich O, Triep K, Gassner M, Kissling S, Vuaridel-Thurre G, Grgic P, Ramos AR, Stieltjes B, Borja M, Österle S.   +14 more
europepmc   +1 more source

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SEMANTIC CATEGORIES IN ACQUISITION

, 2017
E. Clark
semanticscholar   +2 more sources

Decoding Semantic Categories from EEG Activity in Object-Based Decision Tasks

Balkan Conference in Informatics, 2020
This study explores the potential of decoding semantic categories from EEG-activity for the use in Silent Speech Brain-Computer Interfaces (BCI). We used object-based decision tasks to evoke conscious semantic processing for five different semantic ...
Maurice Rekrut, Mansi Sharma, Matthias Schmitt, J. Alexandersson, Antonio Krüger   +4 more
semanticscholar   +1 more source

Semantic categories of artifacts and animals reflect efficient coding

SCIL, 2019
It has been argued that semantic categories across languages reflect pressure for efficient communication. Recently, this idea has been cast in terms of a general information-theoretic principle of efficiency, the Information Bottleneck (IB) principle ...
Noga Zaslavsky, Terry Regier, Naftali Tishby, C. Kemp   +3 more
semanticscholar   +1 more source

Knowledge-Guided Semantic Transfer Network for Few-Shot Image Recognition

IEEE Transactions on Neural Networks and Learning Systems, 2023
Deep learning-based models have been shown to outperform human beings in many computer vision tasks with massive available labeled training data in learning.
Ze-Chao Li, Hao Tang, Zhimao Peng, Guo-Jun Qi, Jin-Hui Tang   +4 more
semanticscholar   +1 more source