Publications associées à Improving Digest-Based Collaborative Spam Detection

Thermal Conditions in Indoor Environments: Exploring the Reasoning behind Standard-Based Recommendations

Professionals in the building design and operation fields typically look at standards and guidelines as a reliable source of information and guidance with regard to procedural, contractual, and legal scope and requirements that are relevant to accountabili ...

2023

When do Minimax-fair Learning and Empirical Risk Minimization Coincide?

Volkan Cevher

Minimax-fair machine learning minimizes the error for the worst-off group. However, empirical evidence suggests that when sophisticated models are trained with standard empirical risk minimization (ERM), they often have the same performance on the worst-of ...

2023

Learning Transformations To Reduce the Geometric Shift in Object Detection

Mathieu Salzmann, Martin Pierre Engilberge, Vidit Vidit

The performance of modern object detectors drops when the test distribution differs from the training one. Most of the methods that address this focus on object appearance changes caused by, e.g., different illumination conditions, or gaps between syntheti ...

Ieee Computer Soc2023

Global, Passive Detection of Connection Tampering

Louis-Henri Manuel Jakob Merino

In-network devices around the world monitor and tamper with connections for many reasons, including intrusion prevention, combating spam or phishing, and country-level censorship. Connection tampering seeks to block access to specific domain names or keywo ...

Assoc Computing Machinery2023

Interventions for Softening Can Lead to Hardening of Opinions: Evidence from a Randomized Controlled Trial

Robert West, Ahmad Abu-Akel, Andreas Oliver Spitz

Motivated by the goal of designing interventions for softening polarized opinions on the Web, and building on results from psychology, we hypothesized that people would be moved more easily towards opposing opinions when the latter were voiced by a celebri ...

ASSOC COMPUTING MACHINERY2021

Is there a difference in how people from different socio-environmental contexts perceive discomfort due to glare from daylight?

Magali Bodart, Jan Wienold, Clotilde Marie A Pierson

Exposure to daylight has much to offer and should be optimised to maximise its potential. In order to harvest its benefits, any visual discomfort from daylight should be anticipated and minimised. Hence, there is the need to predict discomfort from dayligh ...

2022

Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation

Jean-Pierre Hubaux, Jean-Philippe Léonard Bossuat, David Jules Froelicher, Juan Ramón Troncoso-Pastoriza, Yiping Ma

Genotype imputation is a fundamental step in genomic data analysis, where missing variant genotypes are predicted using the existing genotypes of nearby "tag"variants. Although researchers can outsource genotype imputation, privacy concerns may prohibit ge ...

CELL PRESS2021

Clothing-Mediated Exposures to Chemicals and Particles

Dusan Licina

A growing body of evidence identifies clothing as an important mediator of human exposure to chemicals and particles, which may have public health significance. This paper reviews and critically assesses the state of knowledge regarding how clothing, durin ...

2019

Anti-angiogenic immunotherapy for lung cancer

Ece Kadioglu

Lung cancer is the leading cause of cancer-associated deaths worldwide. Platinum-based chemotherapy is the most common therapeutic approach in advanced non-small cell lung cancer (NSCLC), particularly for tumors that carry non-druggable activating mutation ...

EPFL2019

LTCC magnetic sensors at EPFL and TCV: Lessons learnt for ITER

Thomas Maeder, Pierre Lavanchy, Jonathan Bryan Lister, Xavier Llobet, Blaise Marlétaz, Philippe Marmillod, Matthias Garcin, Ugo Siravo, Caroline Jacq, Christian Moura, Duccio Testa, Frédéric Dolizy, Severino Antonioni, Matthieu Toussaint, Steve Couturier, Adrien Aymeric Thibault Corne, Aylwin Iantchenko, Lorenzo Stipani

Innovative 3D high-frequency magnetic sensors have been designed and manufactured in-house for installation on the Tokamak a Configuration Variable (TCV), and are currently routinely operational. These sensors combine the Low Temperature Co-fired Ceramic ( ...

2019

External sensory-motor cues while managing unexpected slippages can violate the planar covariation law

Silvestro Micera

This study was aimed at investigating the intersegmental coordination of six older adults while managing unexpected slippages delivered during steady walking, and wearing an Active Pelvis Orthosis (APO). The APO was setup either to assist volunteers at the ...

2019

Gangliosides: Treatment Avenues in Neurodegenerative Disease

Pierre Magistretti

Gangliosides are cell membrane components, most abundantly in the central nervous system (CNS) where they exert among others neuro-protective and -restorative functions. Clinical development of ganglioside replacement therapy for several neurodegenerative ...

FRONTIERS MEDIA SA2019

ClaimChain: Improving the Security and Privacy of In-band Key Distribution for Messaging

Bogdan Kulynych, Carmela González Troncoso, Wouter Lueks

The social demand for email end-to-end encryption is barely supported by mainstream service providers. Autocrypt is a new community -driven open specification for e-mail encryption that attempts to respond to this demand. In Autocrypt the encryption keys a ...

ACM2018

Governance of Trust in Precision Medicine

Marie-Valentine Renée Agnès Florin, Kujtesë Bejtullahu Michalopoulos

Following up a two-day invitation-only expert workshop in Geneva on the subject of Trust and Precision Medicine, IRGC published a workshop report in April 2018. This report addresses the concept of trust and conditions of trustworthiness in each of the thr ...

EPFL International Risk Governance Center2018

Breaking size-segregation waves and mobility feedback in dense granular avalanches

Christophe Ancey, Kasper van der Vaart

Through experiments and discrete particle method (DPM) simulations we present evidence for the existence of a recirculating structure, that exists near the front of dense granular avalanches, and is known as a breaking size-segregation (BSS) wave. This is ...

2018

Template Induction over Unstructured Email Corpora

Julia Proskurnia

Unsupervised template induction over email data is a central component in applications such as information extraction, document classification, and auto-reply. The benefits of automatically generating such templates are known for structured data, e.g. mach ...

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

Electronic Dura Mater Meddling in the Central Nervous System

Stéphanie Lacour, Grégoire Courtine, Jocelyne Bloch

IMPORTANCE A growing number of neurologic treatments rely on neural implants capable of delivering electrical and chemical stimulation to targeted regions of the central nervous system for extended periods. OBJECTIVE To assess the potential of a novel clas ...

Amer Medical Assoc2017

Exogenous priority rules for the capacitated passenger assignment problem

Michel Bierlaire, Stefan Yves Gabriel Binder, Mohammad Yousef Maknoon

We propose a novel algorithm for the capacitated passenger assignment problem in public transportation where exogenous priority lists define the order in which passengers are assigned. Separating explicitly theses rules from the assignment procedure allows ...

Pergamon-Elsevier Science Ltd2017

Case Study of Data Assimilation Methods with the LWR-Proteus Phase II Experimental Campaign

Andreas Pautz, Daniel Jerôme Siefman, Mathieu Hursin

This paper describes the application of data assimilation methods to CASMO-5 simulations of a Proteus research reactor experiment. Its focus is a comparison and evaluation of three prominent data assimilation methods: generalized linear least squares, MOCA ...

2017