Publication

Towards reproducible software studies with MAO and Renku

Publications associées (28)

Extensions of Peer Prediction Incentive Mechanisms

As large, data-driven artificial intelligence models become ubiquitous, guaranteeing high data quality is imperative for constructing models. Crowdsourcing, community sensing, and data filtering have long been the standard approaches to guaranteeing or imp ...

EPFL2024

Data-driven statistical optimization of a groundwater monitoring network

Andrea Rinaldo, Gianluca Botter

We propose a comparative study of three different methods aimed at optimizing existing groundwater monitoring networks. Monitoring piezometric heads in subsurface porous formations is crucial at regional scales to properly characterize the relevant subsurf ...

Elsevier2024

incentive Mechanism Design for Responsible Data Governance: A Large-Scale Field Experiment

Boi Faltings, Naman Goel

A crucial building block of responsible artificial intelligence is responsible data governance, including data collection. Its importance is also underlined in the latest EU regulations. The data should be of high quality, foremost correct and representati ...

2023

A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning

Boi Faltings, Panayiotis Danassis, Ljubomir Rokvic

Federated Learning by nature is susceptible to low-quality, corrupted, or even malicious data that can severely degrade the quality of the learned model. Traditional techniques for data valuation cannot be applied as the data is never revealed. We present ...

2023

Robust Collaborative Learning with Linear Gradient Overhead

Rachid Guerraoui, Le Nguyen Hoang, John Stephan, Sadegh Farhadkhani, Nirupam Gupta, Rafaël Benjamin Pinot

Collaborative learning algorithms, such as distributed SGD (or D-SGD), are prone to faulty machines that may deviate from their prescribed algorithm because of software or hardware bugs, poisoned data or malicious behaviors. While many solutions have been ...

PLMR2023

Gender, prior knowledge, and the impact of a flipped linear algebra course for engineers over multiple years

Simone Deparis, Himanshu Verma, Roland John Tormey, Cécile Hardebolle

Background Research shows that active pedagogies could play an important role in achieving more equitable outcomes for diverse groups of students in Science, Technology, Engineering, and Mathematics (STEM). Although flipped classes are a popular active met ...

American Society for Engineering Education2022

A review of cybersickness in head‐mounted displays: raising attention to individual susceptibility

Ronan Boulic, Nana Tian

Cybersickness still poses a significant challenge to the widespread usage of virtual reality, leading to different levels of dis- comfort and potentially breaking the immersive experience. Researchers have attempted to discover the possible fundamental cau ...

2022

QUAREP-LiMi: A community-driven initiative to establish guidelines for quality assessment and reproducibility for instruments and images in light microscopy

Andrea Bassi, Antje Keppler, Arne Seitz

A modern day light microscope has evolved from a tool devoted to making primarily empirical observations to what is now a sophisticated , quantitative device that is an integral part of both physical and life science research. Nowadays, microscopes are fou ...

WILEY2021

Design of a compliant load cell with adjustable stiffness

Charles Baur, Lennart Rubbert, Michal Stanislaw Smreczak

Manipulation at the sub-micron scale often requires force-sensing capabilities of milli-to nanonewton forces. This article presents a novel design of a compliant load cell with mechanically adjustable stiffness. The system enables adapting force sensitivit ...

2021

Truthful, Transparent and Fair Data Collection Mechanisms

Naman Goel

An important prerequisite for developing trustworthy artificial intelligence is high quality data. Crowdsourcing has emerged as a popular method of data collection in the past few years. However, there is always a concern about the quality of the data thus ...

EPFL2020

Institutions and Incentives in Knowledge Production and Diffusion: From Science to Innovation

Charles Chadi Ayoubi

This thesis presents four essays providing novel empirical and theoretical insights on the incentives and institutional structures that favor knowledge production and diffusion. The first two studies analyze these processes in the realm of scientific resea ...

EPFL2020

Motivating Innovation: The Effect of Loss Aversion on the Willingness to Persist

Kenneth Younge

We investigate the willingness of individuals to persist at exploration in the face of failure. Prior research suggests that the organization's "tolerance for failure" may motivate greater exploration by the individual. Little is known, however, about how ...

MIT Press2020

Reproducibility warning: The curious case of polyethylene glycol 6000 and spheroid cell culture

Francesco Stellacci, Quy Ong Khac, Zhi Luo, Ahmet Bekdemir

Reproducibility of results is essential for a well-designed and conducted experiment. Several reasons may originate failure in reproducing data, such as selective reporting, low statistical power, or poor analysis. In this study, we used PEG6000 samples fr ...

2020

Real-Time Processing and Quality Improvement of Synchrophasor Data

Mario Paolone

This paper proposes a real-time algorithm for processing and quality improvement of synchrophasor data (SD). The proposed algorithm first recovers the missing SD reported by phasor measurement units (PMUs), and performs low-rank approximation on data strea ...

2020

A simple, versatile and robust centrifugation-based filtration protocol for the isolation and quantification of alpha-synuclein monomers, oligomers and fibrils: Towards improving experimental reproducibility in alpha-synuclein research

Hilal Lashuel, Anass Chiki, Sonia Donzelli, Muhammed Muazzam Kamil Syed

Increasing evidence suggests that the process of alpha-synuclein (alpha-syn) aggregation from monomers into amyloid fibrils and Lewy bodies, via oligomeric intermediates plays an essential role in the pathogenesis of different synucleinopathies, including ...

Wiley-Blackwell2020

Navigating the validity tradeoffs of entrepreneurship research experiments: A systematic review and best-practice suggestions

Jérémy Binder, Julia Katharina Binder

Experimental methods provide important advantages for advancing academic understanding of entrepreneurship. Yet, the complex and comingled relationships between some of entrepreneurship's key characteristics pose thorny methodological challenges to entrepr ...

ELSEVIER SCIENCE BV2019

Role of the electron-phonon coupling on the thermal boundary conductance of metal/diamond interfaces with nanometric interlayers

Ludger Weber, Gionata Schneider, Maïté Blank

Thermal boundary conductance (TBC) of the Ag/diamond and Au/diamond interfaces with a nanometer-thick interface layer of either nickel or molybdenum is measured by time domain thermoreflectance and modeled based on a 3-layer two-temperature model (3l-TTM). ...

2019

Leveraging mobile eye-trackers to capture joint visual attention in co-located collaborative learning groups

Guillaume Zufferey, Sébastien Cuendet, Pierre Dillenbourg, Bertrand Roland Schneider, Kshitij Sharma

This paper describes a promising methodology for studying co-located groups: mobile eye-trackers. We provide a comprehensive description of our data collection and analysis processes so that other researchers can take advantage of this cutting-edge technol ...

SPRINGER2018

Optimized Data Representation for Interactive Multiview Navigation

Pascal Frossard, Thomas Maugey, Rui Ma

In contrary to traditional media streaming services where a unique media content is delivered to different users, interactive multiview navigation applications enable users to choose their own viewpoints and freely navigate in a three-dimensional scene. Th ...

2018

When Sheep Shop: Measuring Herding Effects in Product Ratings with Natural Experiments

Gael Lederrey, Robert West

As online shopping becomes ever more prevalent, customers rely increasingly on product rating websites for making purchase decisions. The reliability of online ratings, however, is potentially compromised by the so-called herding effect: when rating a prod ...

2018