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Publications associées (85)
Optimizing Dynamic Aperture Studies with Active Learning
Davide Di Croce, Tatiana Pieloni, Ekaterina Krymova, Massimo Giovannozzi
Dynamic aperture is an important concept for the study of non-linear beam dynamics in circular accelerators. It describes the extent of the phase-space region where a particle's motion remains bounded over a given number of turns. Understanding the feature ...
2024GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification
Informative sample selection in an active learning (AL) setting helps a machine learning system attain optimum performance with minimum labeled samples, thus reducing annotation costs and boosting performance of computer-aided diagnosis systems in the pres ...
Amsterdam2024How to support students to develop coaching and peer teaching skills
Siara Ruth Isaac, Joelyn de Lima
Students learn more when they are actively engaged in the learning process. While hands-on activities, labs and projects are moments when students are active, the learning benefits can be amplified with coaching strategies. This activity will enable studen ...
EPFL2024Meta-learning to address diverse Earth observation problems across resolutions
Devis Tuia, Benjamin Alexander Kellenberger, Marc Conrad Russwurm
Earth scientists study a variety of problems with remote sensing data, but they most often consider them in isolation from each other, which limits information flows across disciplines. In this work, we present METEOR, a meta-learning methodology for Earth ...
London2024Work in progress: Imagining / Designing informal spaces for learning.
The paper presents ICAP (interactive, constructive, active and passive) as the theoretical framework to understand the role of informal learning spaces as an active learning tool when students have informal meetings to work on projects. Students in our En ...
Aalborg Universitetsforlag2023A combined genetic algorithm and active learning approach to build and test surrogate models in Process Systems Engineering
François Maréchal, Julia Granacher
In Process Systems Engineering, computationally-demanding models are frequent and plentiful. Handling such complexity in an optimization framework in a fast and reliable way is essential, not only for generating meaningful solutions but also for providing ...
Oxford2023Inclusive engineering classrooms: student teaching assistants' perspectives
Siara Ruth Isaac, Helena Kovacs, Joelyn de Lima
Inclusive teaching is the intentional practice of recognising biases, working to mitigate their impact, and ensuring that students have equitable learning opportunities. In addition to improving students' sense of belonging and self efficacy, inclusive tea ...
TU Dublin2023Action Levers towards Sustainable Wellbeing: Re-Thinking Negative Emissions, Sufficiency, Deliberative Democracy
Systems theory defines leverage points as places to intervene in order to change a system. Points with high impact on system behavior are notoriously hard to act upon, and indeed most policy intervention is based at the lowest level (#12 in Donella Meadows ...
EPFL2023Learning From Heterogeneous Data Based on Social Interactions Over Graphs
Ali H. Sayed, Stefan Vlaski, Virginia Bordignon
This work proposes a decentralized architecture, where individual agents aim at solving a classification problem while observing streaming features of different dimensions and arising from possibly different distributions. In the context of social learning ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023Active Learning for Imbalanced Civil Infrastructure Data
Diego Matteo Antognini, Adelmo Cristiano Innocenza Malossi, Ioana Giurgiu
Aging civil infrastructures are closely monitored by engineers for damage and critical defects. As the manual inspection of such large structures is costly and time-consuming, we are working towards fully automating the visual inspections to support the pr ...
2022