Incorporating Crowdsourced Annotator Distributions into Ensemble Modeling to Improve Classification Trustworthiness for Ancient Greek Papyri

Autor: West, Graham, Swindall, Matthew I., Keener, Ben, Player, Timothy, Williams, Alex C., Brusuelas, James H., Wallin, John F.

Publikováno v: Journal of Data Mining & Digital Humanities, Historical Documents and automatic text recognition, Digital humanities in languages (February 7, 2024) jdmdh:10297

Performing classification on noisy, crowdsourced image datasets can prove challenging even for the best neural networks. Two issues which complicate the problem on such datasets are class imbalance and ground-truth uncertainty in labeling. The AL-ALL

Externí odkaz: http://arxiv.org/abs/2210.16380

An Approach for Noisy, Crowdsourced Datasets Utilizing Ensemble Modeling, Normalized Distributions of Annotations, and Entropic Measures of Uncertainty

Autor: West, Graham, Swindall, Matthew I., Keener, Ben, Player, Timothy, Williams, Alex C., Brusuelas, James H., Wallin, John F.

Performing classification on noisy, crowdsourced image datasets can prove challenging even for the best neural networks. Two issues which complicate the problem on such datasets are class imbalance and ground-truth uncertainty in labeling. The AL-ALL

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27eb8bcb255b344286bf2c346a249ffa

LUCIAN'S SATYRICAL HERO

Autor: BRUSUELAS, JAMES H.

Publikováno v: The Classical Review, 2016 Apr 01. 66(1), 80-82.

Externí odkaz: http://www.jstor.org/stable/24759964

The Digital Compilation and Restoration of Herculaneum Fragment P.Herc.118

Autor: Chapman, Christy Y., Parker, C. Seth, Bertelsman, Ali, Gessel, Kristina, Hatch, Hannah, Seevers, Kyra, Brusuelas, James H., Parsons, Stephen, Seales, W. Brent

Publikováno v: Manuscript Studies; June 2021, Vol. 6 Issue: 1 p1-32, 32p

A computational pipeline for crowdsourced transcriptions of Ancient Greek papyrus fragments.

Autor: Williams, Alex C., Wallin, John F., Yu, Haoyu, Perale, Marco, Carroll, Hyrum D., Lamblin, Anne-Francoise, Fortson, Lucy, Obbink, Dirk, Lintott, Chris J., Brusuelas, James H.

Publikováno v: 2014 IEEE International Conference on Big Data (Big Data); 2014, p100-105, 6p