2017 marked the release of Michael ... neural network architecture called just that. Transformers were introduced in the seminal paper “Attention Is All You Need,”...
Current transformers reduce high voltage currents to a much lower value and provide a convenient way of safely monitoring the actual electrical current flowing in ...
Given this increased interest, a historical outlook at the development and rapid progression of transformer-based models becomes imperative in order to gain an understanding of the...
As indicated at the beginning, one objective of this study was to derive a research agenda for the development of applications based on transformer models in healthcare. For succes...
This research paper presents a comprehensive evaluation of four transformer models—Vanilla Transformer, Autoformer, Informer, and SpaceTimeFormer—for energy consumption forecasting...
In this work, we benchmark 7 ... annotated corpus of MIMIC-III clinical notes. Our study shows that BioClinicalBERT model performs best on F-1 scores (0.911, 0.923) under b...
Tools like Hugging Face’s Transformers library and OpenAI’s GPT, plus frameworks like Fairseq, provide access to pre-trained models, scoring, and benchmarks. Designed for experimen...
Second, we analyze Transformer-based applications in the histopathological imaging domain and provide a thorough evaluation of more than 100 research publications across different ...
This begs the question, what if we tried to get rid of the recurrent layers and simply used attention everywhere? This is the premise behind a seminal paper from 2017, Atte...
2025b), speech recognition (Dong et al. 2018; Karita et al. 2019), medical imaging (Ansari et al. 2023; Shamshad et al. 2023; Ansari et al. 2024; Li et al. 2023; Ansari et al. 2022...
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