Publications associées à Automatic Role Recognition in Multiparty Recordings: Using Social Affiliation Networks for Feature Extraction

Publications associées (25)

Diffurb: a three-stage survey measuring urban mobilities and socio-spatial differences

Vincent Kaufmann, Florian Lucien Jacques Masse

DiffUrb is an interdisciplinary research collaboration aiming at describing and understanding how urban differences in terms of diverse population groups are dealt with across five European cities: Geneva, Brussels, Hamburg, Turin, and Zurich. To this end, ...

Springer Science and Business Media LLC2025

Sequential Reasoning with Socially Caused Beliefs

Mert Kayaalp

Machine learning and artificial intelligence methods have achieved remarkable success, matching and even surpassing human capabilities in various complex tasks. However, many demonstrations have generally neglected a critical part of the intelligence that ...

EPFL2025

Metric learning for kernel ridge regression: assessment of molecular similarity

Anne-Clémence Corminboeuf, Friedrich Eisenbrand, Raimon Fabregat I De Aguilar-Amat, Puck Elisabeth van Gerwen, Matthieu Nicolas Haeberle

Supervised and unsupervised kernel-based algorithms widely used in the physical sciences depend upon the notion of similarity. Their reliance on pre-defined distance metrics-e.g. the Euclidean or Manhattan distance-are problematic especially when used in c ...

IOP Publishing Ltd2022

More than a border effect. Ordinary politicization and struggles of belonging in a Swiss border municipality

Alexis Gumy, Garance Clément

Can living near a national border have an effect on the politicization of individuals? To answer this question, this article challenges the results put forward by some European Border Studies scholars granting the border a major role in the construction of ...

DE BOECK UNIV2021

Smart Toys plus plus : Exploiting the Social Connectedness for Playing and Learning

Ayberk Özgür, Arzu Güneysu Özgür

Under the umbrella of smart toys, a myriad of interactive systems have addressed a variety of scenarios considering entertainment, education, sustainability, social and environmental learning through play. Tangibles and small toy robots prevail; but intera ...

ASSOC COMPUTING MACHINERY2021

Producing highly complicated materials. Nature does it better

Gervais Chapuis

Through the years, mineralogical studies have produced a tremendous amount of data on the atomic arrangement and mineral properties. Quite often, structural analysis has led to elucidate the role played by minor components, giving interesting insights into ...

2020

Compute-Forward for DMCs: Simultaneous Decoding of Multiple Combinations

Michael Christoph Gastpar, Adriano Pastore, Sung Hoon Lim, Chen Feng

Algebraic network information theory is an emerging facet of network information theory, studying the achievable rates of random code ensembles that have algebraic structure, such as random linear codes. A distinguishing feature is that linear combinations ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

BookTubing Across Regions: Examining Differences based on Nonverbal and Verbal Cues

Daniel Gatica-Perez, Dinesh Babu Jayagopi

BookTubers are a rapidly growing community in YouTube who shares content related to books. Previous literature has addressed problems related to automatically analyzing opinions and mood of video logs (vlogs) as a generic category in YouTube. Unfortunately ...

ASSOC COMPUTING MACHINERY2019

Anomaly detection in the dynamics of web and social networks

Pierre Vandergheynst, Benjamin Ricaud, Kirell Maël Benzi, Volodymyr Miz

In this work, we propose a new, fast and scalable method for anomaly detection in large time-evolving graphs. It may be a static graph with dynamic node attributes (e.g. time-series), or a graph evolving in time, such as a temporal network. We define an an ...

2019

Statistical Physics Methods for Community Detection

Chun Lam Chan

This thesis is devoted to information-theoretic aspects of community detection. The importance of community detection is due to the massive amount of scientific data today that describes relationships between items from a network, e.g., a social network. I ...

EPFL2019

Theoretical foundations of forward feature selection methods based on mutual information

Francisco Santos Paredes Quartin de Macedo

Feature selection problems arise in a variety of applications, such as microarray analysis, clinical prediction, text categorization, image classification and face recognition, multi-label learning, and classification of internet traffic. Among the various ...

ELSEVIER SCIENCE BV2019

Machine learning for cross-gazetteer matching of natural features

Defining and identifying duplicate records in a dataset is a challenging task which grows more complex when the modeled entities themselves are hard to delineate. In the geospatial domain, it may not be clear where a mountain, stream, or valley ends and be ...

2020

Discovering Interaction Patterns in Online Learning Environments : A Learning Analytics Research

Mina Shirvani Boroujeni

The increasing amount of data collected in online learning environments provides unique opportunities to better understand the learning processes in different educational settings. Learning analytics research aims at understanding and optimizing learning a ...

EPFL2018

The Sketching Complexity of Graph and Hypergraph Counting

Mikhail Kapralov

Subgraph counting is a fundamental primitive in graph processing, with applications in social network analysis (e.g., estimating the clustering coefficient of a graph), database processing and other areas. The space complexity of subgraph counting has been ...

IEEE COMPUTER SOC2018

Low-rank tensor methods for large Markov chains and forward feature selection methods

Francisco Santos Paredes Quartin de Macedo

In the first part of this thesis, we present and compare several approaches for the determination of the steady-state of large-scale Markov chains with an underlying low-rank tensor structure. Such structure is, in our context of interest, associated with ...

EPFL2018

Dynamics of MOOC Discussion Forums

Pierre Dillenbourg, Mina Shirvani Boroujeni

In this integrated study of dynamics in MOOCs discussion forums, we analyze the interplay of temporal patterns, discussion content, and the social structure emerging from the communication using mixed methods. A special focus is on the yet under-explored a ...

2017

Resilience To Contagion In Financial Networks

Léo Hamed Amini

We derive rigorous asymptotic results for the magnitude of contagion in a large counterparty network and give an analytical expression for the asymptotic fraction of defaults, in terms of network characteristics. Our results extend previous studies on cont ...

Wiley-Blackwell2016

Training on the Job: Behavioral Analysis of Job Interviews in Hospitality

Daniel Gatica-Perez, Jean-Marc Odobez, Laurent Son Nguyen, Skanda Muralidhar

First impressions play a critical role in the hospitality industry and have been shown to be closely linked to the behavior of the person being judged. In this work, we implemented a behavioral training framework for hospitality students with the goal of i ...

Assoc Computing Machinery2016

Integration of scientific and social networks

In this paper, we address the problem of scientific-social network integration to find a matching relationship between members of these networks (i.e. The DBLP publication network and the Twitter social network). This task is a crucial step toward building ...

Springer2014

Comparing the Predictive Capability of Social and Interest Affinity for Recommendations

Karl Aberer, Anne-Marie Kermarrec, Alexandra Olteanu

The advent of online social networks created new prediction opportunities for recommender systems: instead of relying on past rating history through the use of collaborative filtering (CF), they can leverage the social relations among users as a predictor ...

Springer-Verlag Berlin2014