22 citations · 22 across the 8 of their papers we have counts for
8 papers
UniCrop: A Universal, Multi-Source Data Engineering Pipeline for Scalable Crop Yield Prediction
Emiliya Khidirova, Oktay Karakuş
Accurate crop yield prediction relies on diverse data streams, including satellite, meteorological, soil, and topographic information. However, despite rapid advances in machine le…
Adaptive Heterogeneous Mixtures of Normalising Flows for Robust Variational Inference
Benjamin Wiriyapong, Oktay Karakuş, Kirill Sidorov
Normalising-flow variational inference (VI) can approximate complex posteriors, yet single-flow models often behave inconsistently across qualitatively different distributions. We…
Through the Gaps: Uncovering Tactical Line-Breaking Passes with Clustering
Oktay Karakuş, Hasan Arkadaş
Line-breaking passes (LBPs) are crucial tactical actions in football, allowing teams to penetrate defensive lines and access high-value spaces. In this study, we present an unsuper…
RKFNet: A Novel Neural Network Aided Robust Kalman Filter
Pengcheng Hao, Oktay Karakus, Alin Achim
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 ha…
Knowledge Distillation for Road Detection based on cross-model Semi-Supervised Learning
Wanli Ma, Oktay Karakus, Paul L. Rosin
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, a…
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…