Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Francois Theberge"'
Autor:
Megan Dewar, Bogumił Kamiński, Daniel Kaszyński, Łukasz Kraiński, Paweł Prałat, François Théberge, Małgorzata Wrzosek
This book constitutes the refereed proceedings of the 19th International Workshop on Modelling and Mining Networks, WAW 2024, held in Warsaw, Poland, during June 3–6, 2024. The 12 full papers presented in this book were carefully reviewed and selec
This book provides a broad overview of the state of the art of the research in generative methods for the analysis of social media data. It especially includes two important aspects that currently gain importance in mining and modelling social media:
This book constitutes the proceedings of the 18th International Workshop on Algorithms and Models for the Web Graph, WAW 2023, held in Toronto, Canada, in May 23–26, 2023.The 12 Papers presented in this volume were carefully reviewed and selected f
This book concentrates on mining networks, a subfield within data science. Data science uses scientific and computational tools to extract valuable knowledge from large data sets. Once data is processed and cleaned, it is analyzed and presented to su
Publikováno v:
Applied Network Science, Vol 8, Iss 1, Pp 1-22 (2023)
Abstract The Artificial Benchmark for Community Detection graph (ABCD) is a random graph model with community structure and power-law distribution for both degrees and community sizes. The model generates graphs with similar properties as the well-kn
Externí odkaz:
https://doaj.org/article/49ff841fe7814ce9ad49b78fa4512cc1
Publikováno v:
AfCS-Nature Molecule Pages.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06f2a282c1e260df04a7d8acdf07a09f
https://doi.org/10.1038/mp.a003066.01
https://doi.org/10.1038/mp.a003066.01
Autor:
Valérie Poulin, François Théberge
Publikováno v:
Applied Network Science, Vol 4, Iss 1, Pp 1-13 (2019)
Abstract We recently proposed a new ensemble clustering algorithm for graphs (ECG) based on the concept of consensus clustering. In this paper, we provide experimental evidence to the claim that ECG alleviates the well-known resolution limit issue, a
Externí odkaz:
https://doaj.org/article/5e3878212f8b46aa986c2d09122132c6
Publikováno v:
PLoS ONE, Vol 14, Iss 11, p e0224307 (2019)
Despite the fact that many important problems (including clustering) can be described using hypergraphs, theoretical foundations as well as practical algorithms using hypergraphs are not well developed yet. In this paper, we propose a hypergraph modu
Externí odkaz:
https://doaj.org/article/da5c665180c642ffa91ea9f0ffe8c074
Autor:
Mayer Alvo, François Théberge
Publikováno v:
Austrian Journal of Statistics, Vol 34, Iss 4 (2016)
Non-precise data arise in a natural way in several contexts. For example, the water level of a river does not usually consist of a single number as can be seen from the intensity of the wetness as a function of depth of a survey rod. The temperature
Externí odkaz:
https://doaj.org/article/aa50125163ba402c8723da0256b5c1fd
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