Machine Learning for Archaeologists (CAA Australasia)
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Join us for a discussion of hot topics in machine learning!
This panel zeroes in on Machine Learning (ML) as a working tool in archaeology, not a buzzword. The focus is on how ML is being applied across the pipeline: from automated detection of features in imagery and point clouds, to classification of motifs, artefacts, and landscapes at scales that were previously unmanageable.
Speakers will show where ML is genuinely shifting the needle—pattern recognition in material culture datasets, predictive modelling in survey, and the integration of learned models with GIS and 3D recording workflows. Just as importantly, we interrogate performance: training data limitations, transferability between regions, false positives, and the risks of overfitting in sparse archaeological datasets.Participants & Organizers
CAA Australasia(Organizer, Host)
CAA Australasia is the regional branch of Computer Applications and Quantitative Methods in Archaeology, taking in Asia, Australia, and the Pacific. CAA International is the premier international conference on digital archaeology, running continuously and publishing proceedings every year since 1973. CAA International has published the open access Journal of Computer Applications in Archaeology since 2018.