25 citations · 35 across the 3 of their papers we have counts for
4 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…
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…
An Image Processing based Object Counting Approach for Machine Vision Application
Mehmet Baygin, Mehmet Karakose, Alisan Sarimaden +1
Machine vision applications are low cost and high precision measurement systems which are frequently used in production lines. With these systems that provide contactless control a…