Searched for: subject%3A%22Ensemble%255C+Method%22
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Kim, Sungjin (author)
Although automated segmentation of 3D medical images produce near-ideal results, they encounter limitations and occasional errors, necessitating manual intervention for error correction. Recent studies introduce an active learning pipeline as an efficient solution for this, requiring user corrections only on some of the most uncertain parts of...
bachelor thesis 2023
document
Odendaal, Kirsten (author), Alkemade, Aaron (author), Kana, A.A. (author)
The adverse human contribution to global climate change has forced the yachting industry to acknowledge the need to reduce its environmental impact due to the client's increasing pressure and potential future regulations to limit the ecological effects. Unfortunately, current real-world data presents a significant disparity between predicted...
journal article 2023
document
Antonopoulos, Ioannis (author), Robu, Valentin (author), Couraud, Benoit (author), Flynn, David (author)
Recent years have seen an increasing interest in Demand Response (DR), as a means to satisfy the growing flexibility needs of modern power grids. This increased flexibility is required due to the growing proportion of intermittent renewable energy generation into the energy mix, and increasing complexity in demand profiles from the...
journal article 2021
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Borst, Nick (author)
Estimating the RUL (Remaining Useful Life) of machinery is a useful tool for maintenance and performance operations. This results in lower costs, improved safety and operational improvements.<br/>This paper proposes two adaptations to the CNN-LSTM network provided by Li et al. \cite{Li2019APrediction}, as well as exploring reproducibility,...
master thesis 2020
document
Ramaswamy, K. R. (author), Fonseca, R. M. (author), Leeuwenburgh, O. (author), Siraj, M.M. (author), Van den Hof, P.M.J. (author)
We are concerned with the efficiency of stochastic gradient estimation methods for large-scale nonlinear optimization in the presence of uncertainty. These methods aim to estimate an approximate gradient from a limited number of random input vector samples and corresponding objective function values. Ensemble methods usually employ Gaussian...
journal article 2020
document
Ghorbani, R. (author), Ghousi, Rouzbeh (author), Makui, Ahmad (author), Atashi, Alireza (author)
Due to the development of biomedical equipment and healthcare level, especially in the Intensive Care Unit (ICU), a considerable amount of data has been collected for analysis. Mortality prediction in the ICUs is considered as one of the most important topics in the healthcare data analysis section. A precise prediction of the mortality risk...
journal article 2020
Searched for: subject%3A%22Ensemble%255C+Method%22
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