Ersahin, K.
* 2010: Segmentation and Classification of Polarimetric SAR Data Using Spectral Graph Partitioning
* 2021: Detecting Marine Species in Echograms via Traditional, Hybrid, and Deep Learning Frameworks
* 2021: Instance Segmentation-based Identification of Pelagic Species in Acoustic Backscatter Data
* 2022: Instance Segmentation of Herring and Salmon Schools in Acoustic Echograms using a Hybrid U-Net
* 2023: Detecting Underwater Discrete Scatterers in Echograms with Deep Learning-Based Semantic Segmentation
* 2024: Deep Learning-Based Identification of Arctic Ocean Boundaries and Near-Surface Phenomena in Underwater Echograms
Includes: Ersahin, K. Ersahin, K.[Kaan]
Ersahin, T.
* 2013: Attributed Relational Graphs for Cell Nucleus Segmentation in Fluorescence Microscopy Images
Ersal, T.
* 2010: Model-Based Analysis and Classification of Driver Distraction Under Secondary Tasks
* 2020: Evaluation of a Predictor-Based Framework in High-Speed Teleoperated Military UGVs
* 2023: Loss Function Design for Data-Driven Predictors to Enhance the Energy Efficiency of Connected and Automated Vehicles
* 2025: Real-Time Terrain-Adaptive Local Trajectory Planner for High-Speed Autonomous Off-Road Navigation on Deformable Terrains, A
Includes: Ersal, T. Ersal, T.[Tulga]