Results 131 to 140 of about 594,786 (216)

A LiDAR-based machine vision dataset for online volume measurement of sweetpotatoes. [PDF]

Data Brief
Zhang J, Lu Y, Kong Z, Xu J.
europepmc   +1 more source

Beyond AUC: Questioning the clinical interpretation of "superior" discrimination in cardiovascular health scores. [PDF]

Int J Cardiol Cardiovasc Risk Prev
Ma B, Shi C.
europepmc   +1 more source

Modelling C-arm fluoroscopy and operating table kinematics via machine learning. [PDF]

Front Robot AI
Jaheen F, Gutta V, Fallavollita P.
europepmc   +1 more source

Editorial: Machine learning algorithms for brain imaging: new frontiers in neurodiagnostics and treatment. [PDF]

Front Neuroinform
Tandle A, Appukuttan S, Honari H.
europepmc   +1 more source

Integrating human-AI collaboration into translation education: A comprehensive protocol for assessment, diagnosis, and strategy development. [PDF]

PLoS One
Ren X, Wang R.
europepmc   +1 more source

Typologically robust statistical machine translation

, 2018
Machine translation systems often incorporate modeling assumptions motivated by properties of the language pairs they initially target. When such systems are applied to language families with considerably different properties, translation quality can deteriorate.
openaire   +1 more source

Enhancing sarcasm detection on social media: A comprehensive study using LLMs and BERT with multi-headed attention on SARC. [PDF]

PLoS One
Zhang L, Faseeh M, Naqvi SSA, Hu L, Ghani A.   +4 more
europepmc   +1 more source

Paraphrases for Statistical Machine Translation

, 2015
Statistical Machine Translation (SMT) is the task of automatic translation between two natural languages (source language and target language) by using bilingual corpora. To accomplish this goal, machine learning models try to capture human translation patterns inside a bilingual corpus.
openaire   +1 more source

Challenges and Advances in Bioinformatics and Computational Biology. [PDF]

Curr Issues Mol Biol
Si T, Gong H.
europepmc   +1 more source

Revealing shared molecular markers and mechanisms in colorectal cancer and COVID-19 through bioinformatics and machine learning. [PDF]

Brief Bioinform
Wang H, Yao H, Niu W, Xing R, Cai L, Xi Z, Gao S, Zhao L.   +7 more
europepmc   +1 more source