5 papers
Core-Set Selection for Data-efficient Land Cover Segmentation
Keiller Nogueira, Akram Zaytar, Wanli Ma +9
The increasing accessibility of remotely sensed data and their potential to support large-scale decision-making have driven the development of deep learning models for many Earth O…
Through the Gaps: Uncovering Tactical Line-Breaking Passes with Clustering
Oktay KarakuÅ, Hasan ArkadaÅ
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…
TopoFormer: Integrating Transformers and ConvLSTMs for Coastal Topography Prediction
Santosh Munian, Oktay KarakuÅ, William Russell +1
This paper presents \textit{TopoFormer}, a novel hybrid deep learning architecture that integrates transformer-based encoders with convolutional long short-term memory (ConvLSTM) l…
A Multimodal Approach for Fluid Overload Prediction: Integrating Lung Ultrasound and Clinical Data
Tianqi Yang, Nantheera Anantrasirichai, Oktay KarakuÅ +2
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 vis…
CPSNet: Physics-Inspired Label-Free Deep Unfolding for Lung Ultrasound B-Line Detection
Tianqi Yang, Oktay KarakuÅ, Nantheera Anantrasirichai +2
In this paper, we propose CPSNet, a label-free deep unfolding framework for lung ultrasound image analysis. CPSNet unfolds a Cauchy proximal splitting algorithm into a forward-back…