Results 1 to 10 of about 59,683 (118)
Transformer models in biomedicine [PDF]
BMC Medical Informatics and Decision MakingDeep neural networks (DNN) have fundamentally revolutionized the artificial intelligence (AI) field. The transformer model is a type of DNN that was originally used for the natural language processing tasks and has since gained more and more attention ...
Sumit Madan +5 more
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Unraveling learning characteristics of transformer models for molecular design. [PDF]
Patterns (N Y)Roth JP, Bajorath J.
europepmc +2 more sources
Improving neural machine translation with POS-tag features for low-resource language pairs
Heliyon, 2022 Integrating linguistic features has been widely utilized in statistical machine translation (SMT) systems, resulting in improved translation quality. However, for low-resource languages such as Thai and Myanmar, the integration of linguistic features in ...
Zar Zar Hlaing +3 more
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Applied Sciences, 2023 In this paper, we analyzed the performance of different transformer models for regret and hope speech detection on two novel datasets. For the regret detection task, we compared the averaged macro-scores of the transformer models to the previous state-of-
Grigori Sidorov +3 more
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Improving Transformer-Based Neural Machine Translation with Prior Alignments
Complexity, 2021 Transformer is a neural machine translation model which revolutionizes machine translation. Compared with traditional statistical machine translation models and other neural machine translation models, the recently proposed transformer model radically ...
Thien Nguyen +3 more
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STHarDNet: Swin Transformer with HarDNet for MRI Segmentation
Applied Sciences, 2022 In magnetic resonance imaging (MRI) segmentation, conventional approaches utilize U-Net models with encoder–decoder structures, segmentation models using vision transformers, or models that combine a vision transformer with an encoder–decoder model ...
Yeonghyeon Gu +2 more
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Multi-Transformer: A New Neural Network-Based Architecture for Forecasting S&P Volatility
Mathematics, 2021 Events such as the Financial Crisis of 2007–2008 or the COVID-19 pandemic caused significant losses to banks and insurance entities. They also demonstrated the importance of using accurate equity risk models and having a risk management function able to ...
Eduardo Ramos-Pérez +2 more
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Low‐latency transformer model for streaming automatic speech recognition
Electronics Letters, 2022 Transformer models have made great progress in automatic speech recognition. However, it is challenging for streaming transformer models to make trade‐off between output latency and recognition accuracy.
Haoran Miao +2 more
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Elektronika ir Elektrotechnika, 2022 A zigzag transformer is a key segment of the electric power system. The optimal design of the zigzag transformer is important for transformer designers to provide a required return path for earth faults and to ensure proper operation of a power system ...
Kamran Dawood +2 more
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A systematic review of lightweight transformer models for medical image segmentation [PDF]
BIO Web of ConferencesFinding, assessing, and synthesizing studies on lightweight transformer models for medical picture segmentation is the goal of this SLR. Accuracy and efficiency in medical image processing and analysis are becoming more and more crucial as the amount of ...
Mangkunegara Iis Setiawan +3 more
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