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There is a growing need for unbiased clustering algorithms, ideally automated to analyze complex data sets. Topological data analysis (TDA) has been used to approach this problem. This recent field of mathematics discerns characteristic features of a space ...
In [1], an important step toward the characterization of distributed detection over adaptive networks has been made by establishing the fundamental scaling law of the error probabilities. However, empirical evidence reported in [1] revealed that a refined ...
Social media platforms are created and exploited for various activities carried out individually or collaboratively and relying on different resources and tools. Social media platforms are inherently contextual; the context being defined as a specific acti ...
The present article deals with conceptual and methodological questions at the base of a research project of settlement history of Albania in the 20th century. We focus our interest on the identification of all local units and their population. In order to ...
This research investigates the measurement of perceptions by means of adjectives freely reported by respondents in semi-open questions. The objective of this work is to use these adjectives as indicators of perceptions in hybrid choice models (HCM) in orde ...
The detection of cytosolic DNA by the sensor cGAS triggers potent antiviral responses. New data now propose that cGAS is regulated on a post-translational level by glutamylation. ...
The title of this paper suggests three things. First, that society’s issues are multidimensional i.e. society being a multidimensional system in a way that each dimension undergo the totality of society’s. These dimensions hold together social systems of v ...
Data fusion is the process of resolving conflicting data from multiple data sources. As the data sources are inherently heterogenous, there is a need for an expert to resolve the conflicting data. Traditional approach requires the expert to resolve a consi ...
This paper presents a model of a MAS framework for dynamic aggregation of population health data for research purposes. The contribution of the paper is twofold: First, it describes a MAS architecture that allows one to built on the fly anonymized database ...
Recognition of real-world entities is crucial for most NLP applications. Since its introduction some twenty years ago, named entity processing has undergone a significant evolution with, among others, the definition of new tasks (e.g. entity linking) and t ...
European Language Resources Association (ELRA)2016
