Results 11 to 20 of about 50,224 (305)

DST: Deformable Speech Transformer for Emotion Recognition [PDF]

open access: yesIEEE International Conference on Acoustics, Speech, and Signal Processing, 2023
Enabled by multi-head self-attention, Transformer has exhibited remarkable results in speech emotion recognition (SER). Compared to the original full attention mechanism, window-based attention is more effective in learning fine-grained features while ...
Weidong Chen   +4 more
semanticscholar   +1 more source

MA-DST: Multi-Attention Based Scalable Dialog State Tracking [PDF]

open access: yesAAAI Conference on Artificial Intelligence, 2020
Task oriented dialog agents provide a natural language interface for users to complete their goal. Dialog State Tracking (DST), which is often a core component of these systems, tracks the system's understanding of the user's goal throughout the ...
Adarsh Kumar   +4 more
semanticscholar   +1 more source

Decreasing Nitrogen Assimilation under Drought Stress by Suppressing DST-Mediated Activation of Nitrate Reductase 1.2 in Rice.

open access: yesMolecular Plant, 2021
Nitrogen is an essential nutrient for plant growth and development, and plays vital roles for crop yield. Assimilation of nitrogen is thus fine-tuned in response to heterogeneous environments.
Mei-Ling Han   +14 more
semanticscholar   +1 more source

BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer [PDF]

open access: yesInterspeech, 2019
An important yet rarely tackled problem in dialogue state tracking (DST) is scalability for dynamic ontology (e.g., movie, restaurant) and unseen slot values.
Guan-Lin Chao, Ian Lane
semanticscholar   +1 more source

Development of the Korean Developmental Screening Test for Infants and Children (K-DST)

open access: yesClinical and experimental pediatrics, 2020
Background Most developmental screening tools in Korea are adopted from foreign tests. To ensure efficient screening of infants and children in Korea, a nationwide screening tool with high reliability and validity is needed.
H. Chung   +20 more
semanticscholar   +1 more source

Prediction of the Dst Index with Bagging Ensemble-learning Algorithm

open access: yesAstrophysical Journal Supplement Series, 2020
The Dst index is a commonly geomagnetic index used to measure the strength of geomagnetic activity. The accurate prediction of the Dst index is one of the main subjects of space weather studies.
S. B. Xu   +4 more
semanticscholar   +1 more source

Autoprediction of Dst index using neural network techniques and relationship to the auroral geomagnetic indices

open access: yesGeofísica Internacional, 2000
Posibilidades de predecir las variaciones de Dst basándose en sus valores previos fueron estudiados usando un perceptron de multicapas con alimentación directa. Fue encontrado que el índice Dst puede ser autopredicho con unas horas de anticipación. Ambas
M. V. Stepanova, P. Pérez
doaj   +1 more source

Pyrazinamide Resistance and pncA Mutation Profiles in Multidrug Resistant Mycobacterium Tuberculosis

open access: yesInfection and Drug Resistance, 2022
Dawei Shi,1,* Qiulong Zhou,2,* Sihong Xu,1 Yumei Zhu,3 Hui Li,4 Ye Xu2 1National Institutes for Food and Drug Control, Institute of Pathogen Biology at the Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s ...
Shi D, Zhou Q, Xu S, Zhu Y, Li H, Xu Y
doaj  

Manifestações orais das doenças sexualmente transmissíveis

open access: yesRevista da Faculdade de Odontologia de Porto Alegre, 2002
O objetivo do presente artigo é descrever a importância da prevenção das doenças sexualmente transmissíveis, através de uma revisão de literatura que elucida os principais aspectos clínicos, meios de diagnóstico e tratamento dessas doenças, que ...
Alessandra Carvalho   +3 more
doaj   +1 more source

Multiple‐Hour‐Ahead Forecast of the Dst Index Using a Combination of Long Short‐Term Memory Neural Network and Gaussian Process

open access: yesSpace Weather, 2018
In this study, we present a method that combines a Long Short‐Term Memory (LSTM) recurrent neural network with a Gaussian process (GP) model to provide up to 6‐hr‐ahead probabilistic forecasts of the Dst geomagnetic index.
M. Gruet   +3 more
semanticscholar   +1 more source

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