Results 141 to 150 of about 156,045 (186)
Large language model empowered explainable and interpretable mental health analysis. [PDF]
Sci RepBajpai S +5 more
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Bidirectional GRU networksâbased next POI category prediction for healthcare
International Journal of Intelligent Systems, 2021 The Corona Virus Disease 2019 has a great impact on public health and public psychology. People stay at home for a long time and rarely go out. With the improvement of the epidemic situation, people began to go to different places to check in. To maintain public mental health, it is necessary to propose a point-of-interest (POI) prediction model which ...
Yuwen Liu 0003 +7 more
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Arabic Named Entity Recognition: A Bidirectional GRU-CRF Approach
, 2018 The previous Named Entity Recognition (NER) models for Modern Standard Arabic (MSA) rely heavily on the use of features and gazetteers, which is time consuming. In this paper, we introduce a novel neural network architecture based on bidirectional Gated Recurrent Unit (GRU) combined with Conditional Random Fields (CRF).
Mourad Gridach, Hatem Haddad
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Wave Forecast using Bidirectional GRU and GRU Method Case Study in Pangandaran, Indonesia
2022 International Conference on Data Science and Its Applications (ICoDSA), 2022Didit Adytia
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Bidirectional GRU Based Autoencoder for Dimensionality Reduction in Hyperspectral Images
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021Hyperspectral images (HSI) are being extensively used in land use/land cover classification because they possess high spectral resolution. Although, this leads to better reflectance distinguishability, the problem of high dimensionality also occurs, making the algorithms data greedy.
Shivam Pande, Biplab Banerjee
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Aspect Extraction with Bidirectional GRU and CRF
2019 IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF), 2019Opinion mining or sentiment analysis used to understand the community's opinions on a particular product. Sentiment analysis involves building the opinion collection and classification system. One of the most crucial tasks of sentiment analysis is the ability to extract aspects or features that opinions expressed on.
Trang Uyen Tran +2 more
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Sentiment Analysis Based on the BERT and Bidirectional GRU Model
2024 IEEE 7th International Conference on Information Systems and Computer Aided Education (ICISCAE)Siyu Yao, Jianlong Bi
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Bidirectional GRU with Multi-Head Attention for Chinese NER
2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC), 2020Named entity recognition (NER) is a basic task of natural language processing (nlp), which purpose is to locate the named entities in natural language text, and classify them into predefined categories such as persons (PER), locations (LOC), and organizations (ORG).
Shuo Yan, Jianping Chai, Liyun Wu
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An explainable attention-based bidirectional GRU model for pedagogical classification of MOOCs
Interactive Technology and Smart Education, 2022Purpose The purpose of this study is, First, to leverage the limitation of annotated data and to identify the cognitive level of learning objectives efficiently, this study adopts transfer learning by using word2vec and a bidirectional gated recurrent units (GRU) that can fully take into account the context and improves the classification of the model.
Hanane Sebbaq, Nour-Eddine El Faddouli
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Network Attack Prediction With Hybrid Temporal Convolutional Network and Bidirectional GRU
IEEE Internet of Things JournalPrecise and real-time prediction of future network attacks can not only prompt cloud infrastructures to fast respond and protect network security but also prevents economic and business losses.
Jing Bi 0001 +4 more
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