Modeling User Behaviour Over Time from Chat Messages

As online communication among children and young adults grows in popularity, concerns about online safety are receiving vast attention. The Two Hat Security (2HS) company has a rule-based filtering system to detect malicious chat messages and identify abusive users. The proposed project will improve the predictions of the trustworthiness (trust-level) of the users which can […]

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Changes in Fire Incidence and Area Burned Under Climate Change Scenarios

New methods and tools are required to (i) provide insight into spatio-temporal climate effects concerning forests and fire events (ii) provide policy-makers with quantified estimates of fire activity under changing climate scenarios as well as well-defined historical models for seasonality and the occurrence of extremes (iii) be useful in a wide variety of modeling scenarios […]

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Do certain aspects of national culture make corruption more prevalent in some countries?

Corruption is recognized as a major factor hindering the development and advancement of countries where it is prevalent. (By “corruption”, I specifically mean “political corruption”, “the use of powers by government officials for illegitimate private gain” [Wikipedia].) Even where the incidence of corruption is relatively low, corruption when exposed has had dramatic effects, including changes […]

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A new method for educational assessment: measuring association via LOC index

Our objective is to develop the new technics, based on the pioneers’ work, especially the Qoyyimi and Zitikis’s (2015) extension, which can have a good performance on measuring some kinds of relationship between students’ marks of subjects. In order to understand the relationship between students’ marks on different study subjects, many studies apply some kinds […]

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A statistical method for competing risk survival analysis with clustered big data

Over the last few years, the data revolution occurred with the emergence of “Big data”. In medical field, the term big data refers to large databases in terms of patients and/or information from varied sources. Nevertheless, heterogeneity is encountered in this kind of data. Indeed, data arise from different medical centers. Furthermore, we can’t perform […]

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