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Characterization and prediction of clinical pathways of vulnerability to psychosis through graph signal processing

Related publications (32)

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The Trajectories Tool: Amplifying Network Visualization Complexity

Alexandre André Robert Rigal, Dario Rodighiero, Loup Cellard

Network visualizations are the most complex visualizations possible, but sometimes they are not capable of describing system-complexity. Even if they are the most widely employed visualization techniques, they still have limitations. Indeed a) their relati ...

2016

Reading Data Together

Dario Rodighiero

2016

Reconciling Factor Graph with User Feedback

Thành Tâm Nguyên

Factor graph is a representative graphical model to handle uncertainty of random variables. Factor graph has been used in various application domains such as named entity recognition, social network analysis, and credibility evaluation. In this paper, we s ...

2015

Making sense of concept maps is an ongoing challenge for the concept mapping community. This paper introduces a multi-level analysis strategy by combining quantitative and qualitative methods to triangulate changes in students’ concept maps. Quantitative a ...

2014

The impact of study load on the dynamics of longitudinal email communications among students

Beat Adrian Schwendimann

With the advent of information technology, emails have gained wide acceptability among students as an asynchronous communication tool. According to the current pedagogy literature the overall trend of the use of email communication by university students h ...

Elsevier2014

Coopetition within and between value networks – a typology and a modelling framework

Alain Wegmann, Arash Golnam

This study develops a typology of coopetition in value networks, wherein a distinction is made based on two factors. Firstly, whether coopetition takes place inside a particular value network (i.e., intra-value network coopetition) or between value network ...

2014

Making sense of Knowledge Integration Maps

Beat Adrian Schwendimann

Digital knowledge maps are rich sources of information to track students’ learning. However, making sense of concept maps has been found challenging. Using multiple quantitative and qualitative methods in combination allows triangulating of changes in stud ...

Springer2014

Over the past decade, investigations in different fields have focused on studying and understanding real networks, ranging from biological to social to technological. These networks, called complex networks, exhibit common topological features, such as a h ...

EPFL2013

Structural connectomics in brain diseases

Jean-Philippe Thiran, Alessandra Griffa, Patric Hagmann, Philipp Baumann

Imaging the connectome in vivo has become feasible through the integration of several rapidly developing fields of science and engineering, namely magnetic resonance imaging and in particular diffusion MRI on one side, image processing and network theory o ...

Elsevier2013

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We propose an analysis of the social network composed of the characters appearing in Jean-Jacques Rousseau's autobiographic Les Confessions, with existence of edges based on co-occurrences. This work consists of twelve volumes, that span over fifty years o ...

2013