Computational Archaeology

Advance archaeological research through AI, HPC, remote sensing, and geospatial analysis. Automate the detection, mapping, and protection of archaeological sites and features, towards the reconstruction of ancient societies by examining aspects such as urban development, economic networks, human mobility, and ancient agricultural practices.

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Machine learning models for 3D complex shape analysis and classification on the NEBD+ dataset Oct 17, 2025 Berganzo-Besga, Iban, 2025, "Machine learning models for 3D complex shape analysis and classification on the NEBD+ dataset", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/J0HVTR, BSC Dataverse, V1, UNF:6:GSgdAZ4nevEX2NwRGqdJfQ== [fileUNF] This dataset presents diverse models trained using machine learning (ML) like traditional architectures for geometric morphometrics (GMM) such as scikit-learn GBM, KNN, LDA, RF and SVM, more advance ones like XGBoost GBM, and deep learning architectures such as MLP, TabPFN and MeshCNN. The models were trained on the NEBD+ dataset.
NEBD+: Enhanced Northern European Barley Dataset for 3D complex shape analysis and classification. Oct 17, 2025 Berganzo-Besga, Iban; Livarda, Alexandra; Aliende Garcia, Paloma; Wallace, Michael; Orengo, Hector A., 2025, "NEBD+: Enhanced Northern European Barley Dataset for 3D complex shape analysis and classification.", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/ETUHIO, BSC Dataverse, V1, UNF:6:tg5jUfTY6pD8q18Yc/9EDA== [fileUNF] This datasheet describes a new dataset for the tasks of 3D complex shape analysis and classification. The dataset consists of 697 barley grains, grouped into the following categories: six-row Bere (Bere-R6), six-row Scandinavian (Scand-R6), two-row non-Scottish British (Brit-R2), and two-row (non-Bere) Scottish (Scot-R2), all of Orkney and Western...

Machine learning models for 3D complex shape analysis and classification on the NEBD+ dataset

Oct 17, 2025

Berganzo-Besga, Iban, 2025, "Machine learning models for 3D complex shape analysis and classification on the NEBD+ dataset", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/J0HVTR, BSC Dataverse, V1, UNF:6:GSgdAZ4nevEX2NwRGqdJfQ== [fileUNF]

This dataset presents diverse models trained using machine learning (ML) like traditional architectures for geometric morphometrics (GMM) such as scikit-learn GBM, KNN, LDA, RF and SVM, more advance ones like XGBoost GBM, and deep learning architectures such as MLP, TabPFN and MeshCNN. The models were trained on the NEBD+ dataset.

NEBD+: Enhanced Northern European Barley Dataset for 3D complex shape analysis and classification.

Oct 17, 2025

Berganzo-Besga, Iban; Livarda, Alexandra; Aliende Garcia, Paloma; Wallace, Michael; Orengo, Hector A., 2025, "NEBD+: Enhanced Northern European Barley Dataset for 3D complex shape analysis and classification.", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/ETUHIO, BSC Dataverse, V1, UNF:6:tg5jUfTY6pD8q18Yc/9EDA== [fileUNF]

This datasheet describes a new dataset for the tasks of 3D complex shape analysis and classification. The dataset consists of 697 barley grains, grouped into the following categories: six-row Bere (Bere-R6), six-row Scandinavian (Scand-R6), two-row non-Scottish British (Brit-R2), and two-row (non-Bere) Scottish (Scot-R2), all of Orkney and Western...

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