9 citations · 10 across the 6 of their papers we have counts for
7 papers
Model validation in machine learning: A scenario-based guide from hold-out splits to nested group cross-validation in biomedical and applied research
Mehmet Baygin, Sengul Dogan, Turker Tuncer
Model validation estimates the performance of a complete learning procedure on new data. However, an invalid split can produce an optimistic and stable result. This tutorial review…
EPRA U-Net: An Efficient Pyramid Residual Attention Framework for Accurate Infarct Segmentation in Diffusion-Weighted MRI
Hasan Ulutas, Muhammet Emin Sahin, Mustafa Fatih Erkoc +4
Objective: Accurate identification of acute ischemic infarcts on diffusion-weighted magnetic resonance imaging (DWI) is a critical prerequisite for reliable lesion quantification a…
mHC-SSM: Manifold-Constrained Hyper-Connections for State Space Language Models with Stream-Specialized Adapters
Abdulvahap Mutlu, Şengül Doğan, Türker Tuncer
Manifold-Constrained Hyper-Connections (mHC) introduce a stability-motivated variant of multi stream residual mixing by constraining residual stream mixing matrices to the manifold…
ViT-ProtoNet for Few-Shot Image Classification: A Multi-Benchmark Evaluation
Abdulvahap Mutlu, Şengül Doğan, Türker Tuncer
The remarkable representational power of Vision Transformers (ViTs) remains underutilized in few-shot image classification. In this work, we introduce ViT-ProtoNet, which integrate…
Synthetic ALS-EEG Data Augmentation for ALS Diagnosis Using Conditional WGAN with Weight Clipping
Abdulvahap Mutlu, Şengül Doğan, Türker Tuncer
Amyotrophic Lateral Sclerosis (ALS) is a rare neurodegenerative disease, and high-quality EEG data from ALS patients are scarce. This data scarcity, coupled with severe class imbal…
Solving the multiplication problem of a large language model system using a graph-based method
Turker Tuncer, Sengul Dogan, Mehmet Baygin +5
The generative pre-trained transformer (GPT)-based chatbot software ChatGPT possesses excellent natural language processing capabilities but is inadequate for solving arithmetic pr…
New pyramidal hybrid textural and deep features based automatic skin cancer classification model: Ensemble DarkNet and textural feature extractor
Mehmet Baygin, Turker Tuncer, Sengul Dogan
Background: Skin cancer is one of the widely seen cancer worldwide and automatic classification of skin cancer can be benefited dermatology clinics for an accurate diagnosis. Hence…