Results 1 to 10 of about 349 (155)

Multi-sample ζ-mixup: richer, more realistic synthetic samples from a p-series interpolant. [PDF]

J Big Data
Abhishek K, Brown CJ, Hamarneh G.
europepmc   +1 more source

THINGS: A database of 1,854 object concepts and more than 26,000 naturalistic object images. [PDF]

PLoS One, 2019
Hebart MN, Dickter AH, Kidder A, Kwok WY, Corriveau A, Van Wicklin C, Baker CI.   +6 more
europepmc   +1 more source

Specificity ratings for English data. [PDF]

Cogn Process
Ravelli AA, Bolognesi MM, Caselli T.
europepmc   +1 more source

Sentiment analysis of financial Twitter posts on Twitter with the machine learning classifiers. [PDF]

Heliyon
Cam H, Cam AV, Demirel U, Ahmed S.
europepmc   +1 more source

Different Markers of Semantic-Lexical Impairment Allow One to Obtain Different Information on the Conversion from MCI to AD: A Narrative Review of an Ongoing Research Program. [PDF]

Brain Sci
Quaranta D, Marra C, Vita MG, Gainotti G.   +3 more
europepmc   +1 more source

Integrating deep learning architectures for enhanced biomedical relation extraction: a pipeline approach. [PDF]

Database (Oxford)
Sarol MJ, Hong G, Guerra E, Kilicoglu H.
europepmc   +1 more source

Redefining Cognitive Domains in the Era of ChatGPT: A Comprehensive Analysis of Artificial Intelligence's Influence and Future Implications. [PDF]

Med Res Arch
Dubey S, Ghosh R, Dubey MJ, Chatterjee S, Das S, Benito-León J.   +5 more
europepmc   +1 more source

Middle-schoolers' reading and lexical-semantic processing depth in response to digital and print media: An N400 study. [PDF]

PLoS One
Froud K, Levinson L, Maddox C, Smith P.
europepmc   +1 more source

Semantic encoding during language comprehension at single-cell resolution. [PDF]

Nature
Jamali M, Grannan B, Cai J, Khanna AR, Muñoz W, Caprara I, Paulk AC, Cash SS, Fedorenko E, Williams ZM.   +9 more
europepmc   +1 more source