Chitanov, Vasiliy Krieger, Michael Heinzlreiter, Paul Kolaklieva, Lilyana Kakanakov, Roumen
Published in
Journal of Grid Computing
A pilot grid computing test infrastructure has been created between the Central Laboratory of Applied Physics (CLAP), part of Bulgarian Academy of Sciences, and RISC Software GmbH, a subsidiary research company of Johannes Kepler University in Austria. The infrastructure is used by specialists in applied physics for training in the application of g...
Pool, E.A.I. (author)
This thesis addresses the problem of path prediction for cyclists.
Instead of solely focusing on how to predict the future trajectory based on previous position measurements, this thesis investigates how to leverage additional contextual information that can inform on the future intent of cyclists.
This thesis does this with the application of intell...
Sanchez, Audrey A. Bartlow, Andrew W. Chan, Allison M. Fair, Jeanne M. Skinner, Aaron A. Hutchins, Kelly Musgrave, Maria A. Phillips, Emily M. Thompson, Brent E. Hathcock, Charles D.
...
Published in
Avian Research
BackgroundAccurate nestling age is valuable for studies on nesting strategies, productivity, and impacts on reproductive success. Most aging guides consist of descriptions and photographs that are time consuming to read and subjective to interpret. The Western Bluebird (Sialia mexicana) is a secondary cavity-nesting passerine that nests in conifero...
Ramsdale, Erika Snyder, Eric Culakova, Eva Xu, Huiwen Dziorny, Adam Yang, Shuhan Zand, Martin Anand, Ajay
Published in
Journal of geriatric oncology
Mogyorósi, F Pašić, A Cziva, R Revisnyei, P Kenesi, Z Tapolcai, J
In this article, we propose a new protection scheme for backbone networks to guarantee high service availability. The presented scheme does not require any reconfiguration immediately after the failure (i.e., it is proactive). At the same time, it does not require any reserved backup network resources either. To achieve these seemingly contradictor...
Amadori, Pierluigi Vito Fischer, Tobias Demiris, Yiannis
We introduce HammerDrive, a novel architecture for task-aware visual attention prediction in driving. The proposed architecture is learnable from data and can reliably infer the current focus of attention of the driver in real-time, while only requiring limited and easy-to-access telemetry data from the vehicle. We build the proposed architecture o...
Wu, Bingcao Chow, Wing Sakthivel, Monish Kakade, Onkar Gupta, Kartikeya Israel, Debra Chen, Yen-Wen Kuruvilla, Aarti Susan
Published in
Advances in therapy
Administrative claims data provide an important source for real-world evidence (RWE) generation, but incomplete reporting, such as for body mass index (BMI), limits the sample sizes that can be analyzed to address certain research questions. The objective of this study was to construct models by implementing machine-learning (ML) algorithms to pred...
Fejza, Amela Genevès, Pierre Layaïda, Nabil Bosson, Jean-Luc
Early identification of patients at risk of developing complications during their hospital stay is currently a challenging issue in healthcare. Complications include hospitalacquired infections, admissions to intensive care units, and in-hospital mortality. Being able to accurately predict the patients' outcomes is a crucial prerequisite for tailor...
Lindqvist, Jakob Olmin, Amanda Lindsten, Fredrik Svensson, Lennart
Ensembles of neural networks have shown to give better predictive performance and more reliable uncertainty estimates than individual networks. Additionally, ensembles allow the uncertainty to be decomposed into aleatoric (data) and epistemic (model) components, giving a more complete picture of the predictive uncertainty. Ensemble distillation is ...
Duru, Ismail Sunar, Ayse Saliha White, Su Diri, Banu
Published in
Arabian Journal for Science and Engineering
Analysing learners’ behaviours in MOOCs has been used to identify predictive features associated with positive outcomes in engagement and learning success. Early methods predominantly analysed numerical features of behaviours such as the page views, video views, and assessment grades. Analysing extracted numeric features using baseline machine lear...
