Thèse de doctorat : Université de Fribourg, 2020.
This thesis intends to present some advances in fuzzy statistical analyses. A particular distance between fuzzy numbers called the signed distance, seems to be appealing because of its directional property. It has the ability of describing the direction of travel between two fuzzy numbers. In addition, it has been often used as a fuzzy ranking tool or a defuzzification operator. Despite the...
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Thèse de doctorat : Université de Fribourg, 2020 ; no. 2192.
Nous vivons une ère où la quantité d’informations échangées augmente rapidement. Cette quantité croissante de données fait que la capacité de stocker, d’analyser et d’agir sur les informations une préoccupation principale (en plus des problèmes apparents de confidentialité, juridiques et éthiques qui y sont liés), soulevant la question : “Comment peut-on consommer des...
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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....
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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...
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In: The Semantic Web – ISWC 2019, 2019, p. 453-469
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 techniques...
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Thèse de doctorat : Université de Fribourg, 2018 ; no. 2098.
Avec l’avènement d’une nouvelle ère, celle de la société numérique, les utilisateurs laissent derrière eux un grand nombre d’empreintes numériques qui constituent la source d’un nouveau bien économique. L’exploitation intensive du Big Data, de l’intelligence artificielle, de l’informatique cognitive, pour ne citer que quelques exemples, donne de la valeur aux données et en...
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Mémoire de master : Université de Fribourg, 2014.
The authorship attribution is the practice of inferring the author of a given text based on the analysis of her/his writing style. It has been largely used in literature work disputes but it has other interesting applications such as forensics and plagiarism detection. The purpose of this project is to experiment and present a solution that can identify the authors of a given corpora. We have two...
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In: Potato Research, 2002, vol. 45, no. 2-4, p. 177-185
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In: Journal of Low Temperature Physics, 2011, vol. 165, no. 3-4, p. 166-176
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In: Transition Metal Chemistry, 2003, vol. 28, no. 1, p. 37-42
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