Tag: Deep Learning

The application of satellite imagery in the landscape archaeology in the Near East 

MSCA postdoctoral fellow Nazarij Buławka was invited yesterday to present on the “Seminar II: Near East Archaeology” of the “Master’s on Bioarchaeology and/or Eastern Mediterranean and Near Eastern Archaeology” at the Faculty of Archaeology of the University of Warsaw (picture by Miron Bogacki for the University of Warsaw): The application of satellite imagery in the…
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Open call for researcher in Computational Archaeology

The Catalan Institute of Classical Archaeology opens a call for a full-time researcher in Computational Archaeology, linked to the GIAP research group, to: More information at: Working at the ICAC/Open CallsCall (017.141) (in Catalan)Deadline for applications ends on April 11th, 2023, at 23.59 h. According to the Human Resources Strategy for Researchers (HRS4R) of the European Commission, ICAC follows the…
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Strengthening ties: new horizons for the computational team’s joint efforts with the Computer Vision Center (CVC-UAB)

The computational team at GIAP (ICAC) has been enjoying a fruitful long-term collaboration with the Computer Vision Center (CVC) of the Autonomous University of Catalonia (UAB), which has contributed to our projects with their expertise and state-of-the-art computational equipment.  These past weeks, Prof. Hèctor A. Orengo (ICREA Research professor at ICAC) and Dr. Felipe Lumbreras…
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Big multi-temporal geospatial data and the large-scale analysis of South Asia’s past landscapes

Today in the afternoon, Hèctor A. Orengo (ICREA research professor) is giving a talk in the conference 3rd International Conference on Geology: Emerging Methods & Applications (GEM-2023). Title: ”Big multi-temporal geospatial data and the large-scale analysis of South Asia’s past landscapes”Session: Artificial Intelligence and Machine Learning in Earth Science AbstractThe last few years have seen an…
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New algorithm for the automated detection and classification of multi-cell phytoliths using AI

A new study published in the Journal of Archaeological Science shows that it is possible to automate the detection and classification of phytoliths with a high-level of accuracy, up to a species level. This method has the potential to allow the development of much larger analytical datasets in a fraction of the time than was…
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GIAP leads 2 sessions in CAA2022

The CAA2022 (Annual Conference of Computer Applications and Quantitative Methods in Archaeology) that will be held from Aug 3rd to 8th in Oxford (UK), in a hybrid format. GIAP (ICAC) researchers are leading sessions #13 and #14. Check the abstracts and the full programme at the conference’s website: https://2022.caaconference.org/programme/ 10-11/08/22Session 13. Machine and deep learning methods in archaeological…
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Call for abstracts CAA2022!

We are pleased to invite you to contribute to our sessions in the CAA2022 (Annual Conference of Computer Applications and Quantitative Methods in Archaeology) that will be held from Aug 3rd to 8th in Oxford (UK), in a hybrid format. GIAP-ICAC researchers are leading two sessions: S13: Machine and deep learning methods in archaeological research:…
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Postdoc call! Archaeological site detection based on multispectral satellite imagery

We are searching for excellent candidates with a PhD in Computer Science, Remote Sensing or a similar field interested in conducting research in archaeological sites detection based on applying machine learning techniques on multispectral aerial images. Contract duration: 22 months The call will open in the forthcoming weeks through Working at the ICAC/Open calls. The context…
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Artificial Intelligence and the archaeology of Greek landscapes

Today, 6th Nov 2021 at 13.45 CET, Giannis Apostolou (GIAP-ICAC) presents his latest research in the International Conference of Postgraduate Students of History and Archaeology organised by the International Hellenic University: “INTERPRETING IDENTITIES IN THE EASTERN MEDITERRANEAN AND THE BLACK SEA” Abstract: Artificial Intelligence and the archaeology of Greek landscapes The rise of Convolutional Neural…
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Hybrid Machine Learning Algorithm Detects Near 10k Archaeological Tumuli in Galicia

Image: detected tumuli in Galicia (Spain): (a) point distribution; (b) heat map. Author: Iban Berganzo. Archaeological tumuli are one of the most common types of archaeological sites and can be found across the globe. This is perhaps why many studies have attempted to develop methods for their automated detection. Their characteristic tumular shape has been…
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