75 citations · 342 across the 18 of their papers we have counts for
5 papers · 1 filter
Bayes-xG: Player and Position Correction on Expected Goals (xG) using Bayesian Hierarchical Approach
Alexander Scholtes, Oktay Karakuş
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 expe…
DUBLINE: A Deep Unfolding Network for B-line Detection in Lung Ultrasound Images
Tianqi Yang, Nantheera Anantrasirichai, Oktay Karakuş +3
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. Curr…
Robust Kalman Filters Based on the Sub-Gaussian -stable Distribution
Pengcheng Hao, Oktay Karakuş, Alin Achim
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 bee…
Sentiment Analysis for Measuring Hope and Fear from Reddit Posts During the 2022 Russo-Ukrainian Conflict
Alessio Guerra, Oktay Karakuş
This paper proposes a novel lexicon-based unsupervised sentimental analysis method to measure the and for the 2022 Ukrainian-Russian Conflict.…
A Machine Learning Approach for Player and Position Adjusted Expected Goals in Football (Soccer)
James H. Hewitt, Oktay Karakuş
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. Expect…