ascopubs.org

SmokeBERT: A Bidirectional Encoder Representations From Transformers–Based Model for Quantitative Smoking History Extraction From Clinical Narratives to Improve Lung Cancer ...

We cross-validated four pretrained Bidirectional Encoder Representations from Transformers (BERT)–based models—BERT, BioBERT, ClinicalBERT, and MedBERT—by fine-tuning them on 90% of 3,261 sentences ...
i-SCOOP

Attention is all you need, the Paper that revolutionized Natural Language Processing

Discover the groundbreaking concepts behind "Attention Is All You Need," the 2017 Google paper that introduced the Transformer architecture. Learn how self-attention, parallelization, and Q/K/V ...
IEEE

DeepTESite: The Prediction of Protein Arginine Methylation Sites using Amino Acids Sequence Symmetric Position Encodings Based on Transformer Encoder

Abstract: Methylation is a type of Post-translational modification, which is closely associated with various diseases. The methylation sites prediction is very important for revealing methylation ...
Hosted on MSN

Transformer encoder architecture explained simply

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...
Morningstar

Virginia Transformer to Expand Georgia Transformer Plant in Rincon, Ga., To Further Bolster #1 Position in the Industry and Shortest Lead Times

ROANOKE, Va., Nov. 20, 2025 /PRNewswire/ -- Virginia Transformer today announced it will expand its Rincon, Georgia large power transformer production beginning in January 2026 to further bolster its ...
GitHub

transformer-encoder-architecture

MIAFEx is a Transformer-based extractor for medical images that refines the [CLS] token to produce robust features, improving results on small or imbalanced datasets and supporting feature selection ...