Jeff Blackadar

Dados Biográficos

ID6915478
NOMEJeff Blackadar
PRENOMESJeff
SOBRENOMEBlackadar
ASSINATURABLACKADAR J
AFILIAÇÕESCarleton University
ORCID0000-0002-8160-0942
VERIFICADOSim
TOTAL DE OBRAS4
TOTAL DE CITAÇÕES4
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2020
ANO MAIS RECENTE DE PUBLICAÇÃO2021
ÍNDICE H2

  • Object Detection Model, Image Data and Results from the “When Computers Dream of Charcoal

    Open AccessJeff Blackadar, Benjamin Carter et al.ARTICLEJournal of Open Archaeology Data2021

    Article: Object Detection Model, Image Data and Results from the “When Computers Dream of Charcoal: Using Deep Learning, Open Tools and Open Data to Identify Relict Charcoal Hearths in and Around State Game Lands in Pennsylvania” Paper

  • Geospatial and Image Data from the “When Computers Dream of Charcoal

    Open AccessWeston Conner, Benjamin Carter et al.ARTICLEJournal of Open Archaeology Data2021

    Article: Geospatial and Image Data from the “When Computers Dream of Charcoal: Using Deep Learning, Open Tools and Open Data to Identify Relict Charcoal Hearths in and Around State Game Lands in Pennsylvania” Paper

  • When Computers Dream of Charcoal

    Open AccessBenjamin Carter, Jeff Blackadar et al.ARTICLEAdvances in Archaeological Practice2021Citada por: 2Referências: 7

    This research employs machine learning (Mask Region-Based Convolutional Neural Networks [Mask R-CNN]) and cluster analysis (Density-based spatial clustering of applications with noise [DBSCAN]) to identify more than 20,000 relict charcoal hearths (RCHs) organized in large “fields” within and around State Game Lands (SGLs) in Pennsylvania. This research has two important threads that we hope will advance the archaeological study of landscapes. The…

  • Towards a Digital Sensorial Archaeology as an Experiment in Distant Viewing of the Trade in Human Remains on Instagram

    Open AccessShawn Graham, Damien Huffer et al.ARTICLEHeritage2020Citada por: 2Referências: 11

    It is possible to purchase human remains via Instagram. We present an experiment using computer vision and automated annotation of over ten thousand photographs from Instagram, connected with the buying and selling of human remains, in order to develop a distant view of the sensory affect of these photos: What macroscopic patterns exist, and how do these relate to the self-presentation of these individual vendors? Using Microsoft’s Azure cloud co…