CharTool is a macro tool for quantifying charcoal particles for archaeological and paleoecological research applications. Version 3.2 (2021) For more information, see: Snitker, G., 2020. The Charcoal Quantification Tool (CharTool): A Suite of Open-source Tools for Quant...

CharTool is a macro tool for quantifying charcoal particles for archaeological and paleoecological research applications. Version 3.2 (2021) For more information, see: Snitker, G., 2020. The Charcoal Quantification Tool (CharTool): A Suite of Open-source Tools for Quant...

This repository contains scripts to run simulations for 14 datasets openly published on the Dutch database for medical guidelines belonging to the paper Artificial intelligence supports literature screening in medical guideline development: towards up-to-date medical gu...

In diesem Repository finden Sie einen Raum-Classifier, der mit dem StanfordNER kompatibel ist, sowie dazugehörige Trainingsdaten. Die Datei "Raum320000_18-21_ner-model" ist ein Raum-Classifier mit sieben Unterkategorien, die mit dem StanfordNER kompatibel sind. Die Date...

{"references": ["Rosmorduc S. \u00ab\u00a0Automated Transliteration of Late Egyptian Using Neural Networks: An Experiment in \"Deep Learning\"\u00a0\u00bb. LingAeg [En ligne]. novembre 2020. Vol. 28, p.\u00a0233\u2011257"]}

This Zenodo repository contains the code, data, and replication package for our paper entitled "Code to Comment Translation: An Empirical Study on Model Effectiveness and Errors".

This repository contains Supplementary Data accompanying an initial submission of the article "Automated Rapid Artefact Surface Area Measurement from Imagery with Computer Vision" submitted to the Journal of Lithic Studies.

This work aims to define a series of reference models that would serve as a guide to the design and development of the National Edition of Aldo Moro's works. These models have been defined through a benchmarking process that is organized as follows: <strong>content anal...

{"references": ["Schild, E., Durantin, G., Lamirel, J.C., &amp; Miconi, F. (2021). Conception it\u00e9rative et semi-supervis\u00e9e d'assistants conversationnels par regroupement interactif des questions. In EGC 2021 - 21\u00e8mes Journ\u00e9es Francophones Extraction ...

{"references": ["Schild, E. (2021). cognitivefactory-interactive-clustering 0.1.3 (Version 0.1.3). Zenodo. http://doi.org/10.5281/zenodo.4775252"]}