Publications associées à Data-driven testing

Improving algal bloom detection using spectroscopic analysis and machine learning: A case study in a large artificial reservoir, South Korea

The prediction of algal blooms using traditional water quality indicators is expensive, labor-intensive, and timeconsuming, making it challenging to meet the critical requirement of timely monitoring for prompt management. Using optical measures for foreca ...

ELSEVIER2023

Drained Axial Pipe-Soil Resistance at Low Confinement Using Tilt Table and Direct Shear Tests

Roba Houhou

Establishing a reliable value for the axial pipe-soil interface resistance is critical for the design of offshore pipelines. Over the last few years, several independent research groups have modified existing methodologies or devised new testing setups to ...

ASCE-AMER SOC CIVIL ENGINEERS2022

OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift

Jean-Philippe Thiran, Guillaume Marc Georges Vray, Devavrat Tomar, Seyedbehzad Bozorgtabar

As distribution shifts are inescapable in realistic clinical scenarios due to inconsistencies in imaging protocols, scanner vendors, and across different centers, well-trained deep models incur a domain generalization problem in unseen environments. Despit ...

PMLR2022

Orchestration of oscillatory activity to improve visual motion discrimination

Roberto Felipe Salamanca Giron

This thesis describes advances in the use of novel configurations of non-invasive brain stimulation over the visual system allowing to modulate of modifying electro-physiological activity, interregional interactions and by it, visual behavior such as motio ...

EPFL2021

Biomechanical Response of the Lower Extremity to Running-Induced Acute Fatigue: A Systematic Review

Kamiar Aminian, Salil Apte, Gaëlle Prigent

Objective: To investigate (i) typical protocols used in research on biomechanical response to running-induced fatigue, (ii) the effect of sport-induced acute fatigue on the biomechanics of running and functional tests, and (iii) the consistency of analyzed ...

2021

Detection of Bad PMU Data using Machine Learning Techniques

Alexandra Cameron Karpilow, Sidi-Rachid Cherkaoui

This project presents a pre-State Estimation method for the detection of Bad Data (BD) in Phasor Measurement Units (PMUs) using correlation analysis and a Neural Network Classifier. Presented in this paper is the algorithm design, the steps for generating ...

IEEE2020

COVID-19 epidemic in Switzerland: on the importance of testing, contact tracing and isolation

Marcel Salathé

Switzerland is among the countries with the highest number of coronavirus disease-2019 (COVID-19) cases per capita in the world. There are likely many people with undetected SARS-CoV-2 infection because testing efforts are currently not detecting all infec ...

2020

Biomimetic adaptive control of a deployable tensegrity structure

Ann Christine Sychterz

Biomimetic behavior includes aspects such as learning from previous experience, self-diagnosis, and adaptation. This thesis describes control methodologies that are essential to development towards biomimetic behavior of a complex deployable structure. Sim ...

EPFL2018

Usefulness of ambient-vibration measurements for seismic assessment of existing structures

Ian Smith, Pierino Lestuzzi, Yves Sylvain Gilles Reuland

A large number of buildings in regions with low to medium seismic hazard have been designed without considering earthquake actions. Retrofitting of all buildings that fail to meet modern code requirements is economically, technically and environmentally un ...

2017

Definition and assessment of reference values for PMU calibration in static and transient conditions

Mario Paolone, Guglielmo Frigo, Marco Pignati, Daniele Colangelo

The calibration of Phasor Measurement Units (PMUs) consists of comparing Coordinated Universal Time (UTC) time-stamped phasors (synchrophasors) estimated by the PMU under test, against reference synchrophasors generated through a PMU calibrator. The IEEE S ...

IEEE2016

Quantitative analysis of deformation in hollow cylinder tests on anisotropic clay formations

Vincent Labiouse, Gioacchino Viggiani, Shuang You

A series of triaxial laboratory experiments are performed on thick-walled hollow cylindrical samples of boom clay. The aim of this testing program is to better understand the anisotropic deformation during the excavation. The testing conditions are similar ...

2015

Morphological Evolution of Physical Robots through Model-Free Phenotype Development

Simon Lukas Hauser

Artificial evolution of physical systems is a stochastic optimization method in which physical machines are iteratively adapted to a target function. The key for a meaningful design optimization is the capability to build variations of physical machines th ...

2015

Search Techniques for Code Generation

Tihomir Gvero

This dissertation explores techniques that synthesize and generate program fragments and test inputs. The main goal of these techniques is to improve and support automation in program synthesis and test input generation. This is important because performin ...

EPFL2015

Survey of Web-based Crowdsourcing Frameworks for Subjective Quality Assessment

Philippe Hanhart

The popularity of the crowdsourcing for performing various tasks online increased significantly in the past few years. The low cost and flexibility of crowdsourcing, in particular, attracted researchers in the field of subjective multimedia evaluations and ...

2014

Evaluation of the tensile strength of SFRC as derived from inverse analysis of notched bending tests

Aurelio Muttoni

For the design of SFRC members, the most fundamental material property is its post cracking residual tensile strength. When relying on physical models to describe structural behaviour under load, the material laws must first be accurately established. If t ...

VIII International Conference on Fracture Mechanics of Concrete and Concrete Structures, FraMCoS-82013

Making Automated Testing of Cloud Applications an Integral Component of PaaS

George Candea, Johannes Kinder, Stefan Bucur

Traditional testing is inadequate for the complexity of modern cloud application software stacks. While the platform-as-a-service (PaaS) model has streamlined application development and deployment, its multiple abstraction layers and dependencies have mad ...

2013

A SOFT Way for OpenFlow Switch Interoperability Testing

Dejan Kostic, Marco Canini, Peter Peresini, Maciej Leszek Kuzniar

The increasing adoption of Software Defined Networking, and OpenFlow in particular, brings great hope for increasing extensibility and lowering costs of deploying new network functionality. A key component in these networks is the OpenFlow agent, a piece o ...

2012

Parallel symbolic execution for automated real-world software testing

George Candea, Cristian Zamfir, Stefan Bucur, Vlad Ureche

This paper introduces Cloud9, a platform for automated testing of real-world software. Our main contribution is the scalable parallelization of symbolic execution on clusters of commodity hardware, to help cope with path explosion. Cloud9 provides a system ...

ACM Press2011

A novel framework for noise robust ASR using cochlear implant-like spectrally reduced speech

We propose a novel framework for noise robust automatic speech recognition (ASR) based on cochlear implant-like spectrally reduced speech (SRS). Two experimental protocols (EPs) are proposed in order to clarify the advantage of using SRS for noise robust A ...

2011

Automated Software Testing as a Service (TaaS)

George Candea, Cristian Zamfir, Stefan Bucur

This paper makes the case for TaaS - automated software testing as a cloud-based service. We present three kinds of TaaS: (1) a public certification service, akin to Underwriters Labs, that independently assesses the reliability, safety, and security of so ...

2010