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Related publications (13)

EncodingActs: Modeling, Representing and Transmitting Embodied Knowledge in Traditional Martial Arts

EncodingActs investigates how computational methods can facilitate the transmission of multifaceted knowledge within intangible cultural heritage (ICH). ICH, characterized by living, tacit, yet complex epistemic systems, is conventionally viewed as challen ...

EPFL2024

United States politicians' tone became more negative with 2016 primary campaigns

Robert West, Andreas Oliver Spitz, Ahmad Abu-Akel

There is a widespread belief that the tone of political debate in the US has become more negative recently, in particular when Donald Trump entered politics. At the same time, there is disagreement as to whether Trump changed or merely continued previous t ...

NATURE PORTFOLIO2023

Promoting synergies for sustainability through peer-to-peer sharing: an analysis of drivers and barriers

Claudia Rebeca Binder Signer, Ralph Hansmann

Peer-to-peer (P2P) sharing may foster sustainability synergistically by saving resources, reducing costs and promoting satisfaction of consumer needs and social connectivity. A survey of Swiss and Swedish consumers (N = 1522) was conducted to analyze drive ...

TAYLOR & FRANCIS INC2023

Machine Learning for Musculoskeletal Modeling of Upper Extremity

Rahul Sharma

We propose a novel machine learning (ML)-driven methodology to estimate biomechanical variables of interest traditionally obtained from upper-extremity musculoskeletal (MSK) modeling. MSK models facilitate personalized modeling, perform "what-if" analyses, ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Running Efficiently CNNs on the Edge Thanks to Hybrid SRAM-RRAM In-Memory Computing

David Atienza Alonso, Giovanni Ansaloni, Alexandre Sébastien Julien Levisse, Marco Antonio Rios, Flavio Ponzina

The increasing size of Convolutional Neural Networks (CNNs) and the high computational workload required for inference pose major challenges for their deployment on resource-constrained edge devices. In this paper, we address them by proposing a novel In-M ...

2021

Scrub: Online TroubleShooting for Large Mission-Critical Applications

Willy Zwaenepoel

Scrub is a troubleshooting tool for distributed applications that operate under strict SLOs common in production environments. It allows users to formulate queries on events occurring during execution in order to assess the correctness of the application’s ...

2018

Profiling, Modelling and Facilitating Online Activism

Julia Proskurnia

The extensive and successful use of social media has enhanced and empowered a variety of movements all over the world in a way that is hard to achieve through conventional means. This has led to numerous studies that leverage online social data to describe ...

EPFL2017

Efficient Online Processing for Advanced Analytics

Mohamed Elsayed Mohamed Ahmed El Seidy

With the advent of emerging technologies and the Internet of Things, the importance of online data analytics has become more pronounced. Businesses and companies are adopting approaches that provide responsive analytics to stay competitive in the global ma ...

EPFL2017

Analyzing Large-Scale Public Campaigns on Twitter

Karl Aberer, Philippe Cudré-Mauroux, Julia Proskurnia, Roman Prokofyev

Social media has become an important instrument for running various types of public campaigns and mobilizing people. Yet, the dynamics of public campaigns on social networking platforms still remain largely unexplored. In this paper, we present an in-depth ...

Springer Int Publishing Ag2016

Please Sign to Save... : How Online EnvironmentalPetitions Succeed

Karl Aberer, Philippe Cudré-Mauroux, Julia Proskurnia

Social media have become one of the key platforms to support the debate on climate change. In particular, Twitter allows easy information dissemination when running environmental campaigns. Yet, the dynamics of these campaigns on social platforms still rem ...

AAAI Press2016

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