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I-Louvain: An Attributed Graph Clustering Method
TLDR
This article introduces a complementary measure, based on inertia, and specially conceived to evaluate the quality of a partition based on real attributes describing the vertices, which is more robust to data degradation.
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Intrusion Detection Using Mouse Dynamics
TLDR
Drag and drop mouse actions proved to be the best actions for impostor detection in the Balabit data set, which was released for data science competition and can be considered the first adequate publicly available one.
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A Survey on User Modeling in Multi-application Environments
TLDR
The aim of this paper is to discuss general problems connected to user modeling in multiapplication environments and to provide a short survey on current research in this field.
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Combining Relations and Text in Scientific Network Clustering
TLDR
It is argued that, depending on the kind of data the authors have and the type of results they want, the choice of the clustering method is important and some concrete examples for underlining this are presented.
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Geo-based automatic image annotation
TLDR
An automatic image annotation approach is proposed based on a statistical model that combines two different kinds of information: high level information represented by user tags of images captured in the same location as a new unlabeled image (input image) and low level information representing by the visual similarity between the input image and the collection of geographically similar images.
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A graph based audio-visual document annotation and browsing system
In this paper we present an audiovisual (AV) data annotation and exploitation system, which was developed as a feasibility demonstration of several theoretical models and algorithms. These models…
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Stacked Gender Prediction from Tweet Texts and Images: Notebook for PAN at CLEF 2018
TLDR
This paper describes the authors' participation at the PAN 2018 Author Profiling shared task, given texts and images from some Twitter's authors, and the final submitted system is a stacked classifier composed of two main parts.
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Truth in the Digital Library: From Ontological to Hermeneutical Systems
TLDR
This paper deals with the conceptual structures which describe document contents in a digital library and presents two "assisted interpretation systems" (AIS) for digital libraries (audiovisual documents and scholarly publications).
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Online ancient documents: Armarius
TLDR
A digital archive model and prototype of a collaborative system for the management of online ancient manuscript, which offers an online annotation service, an assistant for semi-automatic annotation, and a tracing system that saves traces of important actions in order to reuse them in a recommender system afterward.
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Contextual trace-based video recommendations
TLDR
This paper proposes an approach for contextual video recommendations based on a Trace-Based Reasoning approach for recommender systems that helps us to quickly find content that truly meet the authors' needs.
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