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Université de Fribourg

Archaeometrical study of Khmer stoneware from the Angkorian period: Results from the Cerangkor Project

Thirion‐Merle, V. ; Thierrin‐Michael, Gisela ; Desbat, A.

In: Archaeometry, 2019, vol. 61, no. 6, p. 1246–1263

In the area around Angkor, Cambodia, several ceramics kilns dating from the ninth to 15th centuries ce have been discovered since 1995. The technical, typological and compositional characterization of their production has been one of the main goals of the Cerangkor Project. Samples of green‐glazed ‘Kulen‐type' stoneware and non‐ glazed stoneware produced in five kiln sites in the...

Université de Fribourg

APCNN: Tackling Cclass imbalance in relation extraction through aggregated piecewise convolutional neural networks

Smirnova, Alisa ; Audiffren, Julien ; Cudre-Mauroux, Philippe

In: 2019 6th Swiss Conference on Data Science (SDS), 2019, p. 63–68

One of the major difficulties in applying distant supervision to relation extraction is class imbalance, as the distribution of relations appearing in text is heavily skewed. This is particularly damaging for the multi-instance variant of relation extraction. In this work, we introduce a new model called Aggregated Piecewise Convolutional Neural Networks, or APCNN, to address this problem....

Université de Fribourg

Nodesketch: highly-efficient graph embeddings via recursive sketching

Yang, Dingqi ; Rosso, Paolo ; Li, Bin ; Cudre-Mauroux, Philippe

In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019, p. 1162–1172

Embeddings have become a key paradigm to learn graph representations and facilitate downstream graph analysis tasks. Existing graph embedding techniques either sample a large number of node pairs from a graph to learn node embeddings via stochastic optimization, or factorize a high-order proximity/adjacency matrix of the graph via expensive matrix factorization. However, these techniques...

Université de Fribourg

Non-parametric class completeness estimators for collaborative knowledge graphs — the case of wikidata

Luggen, Michael ; Difallah, Djellel ; Sarasua, Cristina ; Demartini, Gianluca

In: The Semantic Web – ISWC 2019, 2019, p. -

Collaborative Knowledge Graph platforms allow humans and automated scripts to collaborate in creating, updating and interlinking entities and facts. To ensure both the completeness of the data as well as a uniform coverage of the different topics, it is crucial to identify underrepresented classes in the Knowledge Graph. In this paper, we tackle this problem by developing statistical...

Université de Fribourg

Eighteen years of steel–bentonite interaction in the FEBEX in situ test at the Grimsel Test Site in Switzerland

Hadi, Jebril ; Wersin, Paul ; Serneels, Vincent ; Greneche, Jean-Marc

In: Clays and Clay Minerals, 2019, vol. 67, no. 2, p. 111–131

Corrosion of steel canisters containing buried high-level radioactive waste is a relevant issue for the long-term integrity of repositories. The purpose of the present study was to evaluate this issue by examining two differently corroded blocks originating from a full-scale in situ test of the FEBEX bentonite site in Switzerland. The FEBEX experiment was designed initially as a feasibility...

Consortium of Swiss Academic Libraries

Evaluation of chocolate as a source of dietary copper

Weber, Thomas ; Solioz, Marc

In: European Food Research and Technology, 2014, vol. 238, no. 6, p. 1063-1066