Results 61 to 70 of about 547,938 (128)

Transparent AI for mathematics: transformer-based large language models for mathematical entity relationship extraction with XAI. [PDF]

Sci Rep
Aurpa TT.
europepmc   +1 more source

Accelerating Evidence Synthesis: A BERT-Assisted Workflow for Meta-Analyses of Radiotherapy Complications in Nasopharyngeal Carcinoma. [PDF]

Reports (MDPI)
Lee TF, Yun WP, Hsu HW, Wu JJ, Kuan YS, Liao YL, Wuu CS, Chang L, Hsieh YW, Chao PJ.   +9 more
europepmc   +1 more source

Automatic Generation of a Mechanical Properties Question-Answering Data Set for Language Model Benchmarking: A Comparative Study of BERT, XLNet, and LLaMA Models. [PDF]

J Chem Inf Model
Zhang M, Cole JM.
europepmc   +1 more source

Influ-BERT: a domain-adaptive genomic language model for advancing influenza A virus research. [PDF]

Brief Bioinform
Ye R, Li L, Ribeiro de Vasconcelos AT, Song S.   +3 more
europepmc   +1 more source

Information extraction from clinical notes: are we ready to switch to large language models? [PDF]

J Am Med Inform Assoc
Hu Y, Zuo X, Zhou Y, Peng X, Huang J, Keloth VK, Zhang VJ, Weng RL, Shyr C, Chen Q, Jiang X, Roberts KE, Xu H.   +12 more
europepmc   +1 more source

Enzyme association for environmental biotransformation reactions through contrastive learning of reaction center-specific fingerprints. [PDF]

Bioinformatics
Zhang K, Marti TD, Probst SI, Robinson SL, Fenner K.   +4 more
europepmc   +1 more source

Bangla MedER: Multi-BERT ensemble approach for the recognition of Bangla medical entity. [PDF]

PLoS One
Aurpa TT, Akter F, Hasan MM, Ahmed S, Rafiq SA, Khan F, Sheikh R.   +6 more
europepmc   +1 more source

Ensemble of transformers for depression emotion classification. [PDF]

Cogn Neurodyn
Kasap F, İlhan Omurca S, Ekinci E.
europepmc   +1 more source

Language-based detection of depression with machine learning: systematic review and meta-analysis. [PDF]

NPJ Digit Med
Fisher H, Jaffe NM, Pidvirny K, Tierney AO, Vaidean MS, Dongre P, Webb CA.   +6 more
europepmc   +1 more source

A Hybrid Machine Learning Based Intrusion Detection System for MIL-STD-1553

Havacılık ve Uzay Teknolojileri Dergisi
MIL-STD-1553 is a communication standard developed by the US Department of Defense in 1975, primarily utilized in military aircraft, ground vehicles, and spacecraft.
Yunus Emre Çiloğlu, Şerif Bahtiyar
doaj