Publications associées à Label discographique

Platform-mediated live musical performance in China: New social practices and urban cultural spaces

This paper provides a non-Anglo-American geographical discussion of digitally mediated cultural activities. Taking China's live music industry as an entry point, we seek to theoretically and empirically understand the complex roles of digital technologies ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Test record #03-EN (record approved) -- TEST SUCCESSFUL

Matthias Wolfgang Bräuninger

Expected subject: [Infoscience] Document validated Expected body: Hello, Your document was validated in Infoscience and is now publicly visible at the url https://infoscience.epfl.ch/record/295988?&ln=en. It will shortly appear in your publication lists if ...

EPFL <> SISB2022

Title: "Labels Matter: Is it stress or is it Trauma?"

Maria del Carmen Sandi Perez

In neuroscience, the term 'Stress' has a negative connotation because of its potential to trigger or exacerbate psychopathologies. Yet in the face of exposure to stress, the more common reaction to stress is resilience, indicating that resilience is the ru ...

SPRINGERNATURE2021

QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval

Shaokai Ye, Yuan He, Hang Su, Jinfeng Li

We study the query-based attack against image retrieval to evaluate its robustness against adversarial examples under the black-box setting, where the adversary only has query access to the top-1 ranked unlabeled images from the database. Compared with que ...

IEEE COMPUTER SOC2021

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms

David Atienza Alonso, Tomas Teijeiro Campo, Lara Orlandic

Overview Cough audio signal classification has been successfully used to diagnose a variety of respiratory conditions, and there has been significant interest in leveraging Machine Learning (ML) to provide widespread COVID-19 screening. Th ...

EPFL Infoscience2021

Computing Crowd Consensus with Partial Agreement

Quoc Viet Hung Nguyen, Thành Tâm Nguyên

Crowdsourcing has been widely established as a means to enable human computation at large-scale, in particular for tasks that require manual labelling of large sets of data items. Answers obtained from heterogeneous crowd workers are aggregated to obtain a ...

2018

A computer-assisted multi-electrode patch-clamp system

Henry Markram, Rodrigo de Campos Perin

The patch-clamp technique is today the most well-established method for recording electrical activity from individual neurons or their subcellular compartments. Nevertheless, achieving stable recordings, even from individual cells, remains a time-consuming ...

Journal of Visualized Experiments2013

Making Action Recognition Robust to Occlusions and Viewpoint Changes

Pascal Fua, Mustafa Özuysal, Daniel Weinland

Most state-of-the-art approaches to action recognition rely on global representations either by concatenating local information in a long descriptor vector or by computing a single location independent histogram. This limits their performance in presence o ...

2010

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Label discographique

Platform-mediated live musical performance in China: New social practices and urban cultural spaces

Test record #03-EN (record approved) -- TEST SUCCESSFUL

Title: "Labels Matter: Is it stress or is it Trauma?"

QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms

Computing Crowd Consensus with Partial Agreement

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Weakly Supervised Alignment Of Image Manifolds With Semantic Ties

A computer-assisted multi-electrode patch-clamp system

Making Action Recognition Robust to Occlusions and Viewpoint Changes

Graph Chatbot

Chattez avec Graph Search

Test record #03-EN (record approved) -- TEST SUCCESSFUL

QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval

Computing Crowd Consensus with Partial Agreement

Title: "Labels Matter: Is it stress or is it Trauma?"

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Weakly Supervised Alignment Of Image Manifolds With Semantic Ties

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms

A computer-assisted multi-electrode patch-clamp system

Making Action Recognition Robust to Occlusions and Viewpoint Changes