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Automatic Role Recognition in Multiparty Recordings Using Social Networks and Probabilistic Sequential Models

Related publications (58)

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Prony Series Representation for the Lightning Channel Base Current

In this paper, a new representation for the lightning channel base current is proposed in terms of the so-called Prony series, obtained by means of a modified time-domain variant of the well-known vector fitting technique. This method allows both to reprod ...

2012

NoDB in Action: Adaptive Query Processing on Raw Data

Anastasia Ailamaki, Miguel Sérgio De Oliveira Branco, Ioannis Alagiannis

As data collections become larger and larger, users are faced with increasing bottlenecks in their data analysis. More data means more time to prepare the data, to load the data into the database and to execute the desired queries. Many applications alread ...

VLDB Endowment2012

A Regularization Framework for Mobile Social Network Analysis

Pascal Frossard, Pierre Vandergheynst, Xiaowen Dong

Mobile phone data provides rich dynamic information on human activities in social network analysis. In this paper, we represent data from two different modalities as a graph and functions defined on the vertex set of the graph. We propose a regularization ...

2011

SeMiTri: A Framework for Semantic Annotation of Heterogeneous Trajectories

Karl Aberer, Stefano Spaccapietra, Christine Parent, Zhixian Yan, Dipanjan Chakraborty

GPS devices allow recording the movement track of the moving object they are attached to. This data typically consists of a stream of spatio-temporal (x,y,t) points. For application purposes the stream is transformed into finite subsequences called {\em tr ...

ACM2011

Social Network Analysis for Automatic Role Recognition

Sarah Favre

The computing community has shown a significant interest for the analysis of social interactions in the last decade. Different aspects of social interactions have been studied such as dominance, emotions, conflicts, etc. However, the recognition of roles h ...

EPFL2011

Predicting behavior of Twitter Users

Adela Maznikar

Social networks today are great source of data which can be used and analyzed in different ways. In our project the main goal is to predict the behavior of the users, more accurately said: we try to predict what will a particular user tweet in the future, ...

2011

Computational modeling of face-to-face social interaction using nonverbal behavioral cues

Dinesh Babu Jayagopi

The computational modeling of face-to-face interactions using nonverbal behavioral cues is an emerging and relevant problem in social computing. In the thesis, we have investigated individual social constructs in small groups such as dominance and status ( ...

Ecole Polytechnique Fédérale de Lausanne2011

This paper presents an automatic approach to analyze the human interactions appearing in multiparty data, aiming at understanding the data content and at extracting social informa- tion such as Which role do people play?, What is their attitude?, or Can pe ...

2009

Capturing Order in Social Interactions

Alessandro Vinciarelli

As humans appear to be literally wired for social interaction, it is not surprising to observe that social aspects of human behavior and psychology attract interest in the computing community as well. The gap between social animal and unsocial machine was ...

2009

Canal9: A database of political debates for analysis of social interactions

Sarah Favre, Alessandro Vinciarelli

Automatic analysis of social interactions attracts major attention in the computing community, but relatively few benchmarks are available to researchers active in the domain. This paper presents a new, publicly available, corpus of political debates inclu ...

2009