Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Karakuş, Oktay"'
Managing fluid balance in dialysis patients is crucial, as improper management can lead to severe complications. In this paper, we propose a multimodal approach that integrates visual features from lung ultrasound images with clinical data to enhance
Externí odkaz:
http://arxiv.org/abs/2409.08790
The identification of artefacts, particularly B-lines, in lung ultrasound (LUS), is crucial for assisting clinical diagnosis, prompting the development of innovative methodologies. While the Cauchy proximal splitting (CPS) algorithm has demonstrated
Externí odkaz:
http://arxiv.org/abs/2407.10667
Driven by the filtering challenges in linear systems disturbed by non-Gaussian heavy-tailed noise, the robust Kalman filters (RKFs) leveraging diverse heavy-tailed distributions have been introduced. However, the RKFs rely on precise noise models, an
Externí odkaz:
http://arxiv.org/abs/2403.16756
The advancement of knowledge distillation has played a crucial role in enabling the transfer of knowledge from larger teacher models to smaller and more efficient student models, and is particularly beneficial for online and resource-constrained appl
Externí odkaz:
http://arxiv.org/abs/2402.05305
Semi-supervised learning aims to help reduce the cost of the manual labelling process by leveraging valuable features extracted from a substantial pool of unlabeled data alongside a limited set of labelled data during the training phase. Since pixel-
Externí odkaz:
http://arxiv.org/abs/2311.13716
Bayes-xG: Player and Position Correction on Expected Goals (xG) using Bayesian Hierarchical Approach
Autor:
Scholtes, Alexander, Karakuş, Oktay
This study employs Bayesian methodologies to explore the influence of player or positional factors in predicting the probability of a shot resulting in a goal, measured by the expected goals (xG) metric. Utilising publicly available data from StatsBo
Externí odkaz:
http://arxiv.org/abs/2311.13707
Autor:
Yang, Tianqi, Anantrasirichai, Nantheera, Karakuş, Oktay, Allinovi, Marco, Koydemir, Hatice Ceylan, Achim, Alin
In the context of lung ultrasound, the detection of B-lines, which are indicative of interstitial lung disease and pulmonary edema, plays a pivotal role in clinical diagnosis. Current methods still rely on visual inspection by experts. Vision-based a
Externí odkaz:
http://arxiv.org/abs/2311.06672
Semi-supervised learning has been well developed to help reduce the cost of manual labelling by exploiting a large quantity of unlabelled data. Especially in the application of land cover classification, pixel-level manual labelling in large-scale im
Externí odkaz:
http://arxiv.org/abs/2305.10344
Motivated by filtering tasks under a linear system with non-Gaussian heavy-tailed noise, various robust Kalman filters (RKFs) based on different heavy-tailed distributions have been proposed. Although the sub-Gaussian $\alpha$-stable (SG$\alpha$S) di
Externí odkaz:
http://arxiv.org/abs/2305.07890
Autor:
Hewitt, James H., Karakuş, Oktay
Football is a very result-driven industry, with goals being rarer than in most sports, so having further parameters to judge the performance of teams and individuals is key. Expected Goals (xG) allow further insight than just a scoreline. To tackle t
Externí odkaz:
http://arxiv.org/abs/2301.13052