activity
20182021
most citedComparative Performance of Machine Learning Algorithms in Cyberbullying Detection: Using Turkish Language Preprocessing Techniques

15 citations · 29 across the 8 of their papers we have counts for

collaborators

12 papers

cs.CV2021

Analysis of Interpolation based Image In-painting Approaches

Mustafa Zor, Erkan Bostanci, Mehmet Serdar Guzel +1

Interpolation and internal painting are one of the basic approaches in image internal painting, which is used to eliminate undesirable parts that occur in digital images or to enha…

physics.med-ph2021

Geant4 based Dosimetry Evaluation for Gamma Knife using Different Phantom Materials

Ozlem Dagli, Erkan Bostanci, Omer Hakan Emmez +3

This study analyses the dose difference for a variety of phantom materials that can be used for Leksell Gamma Knife. These materials have properties that are very similar to the hu…

cs.CY202115 cited

Comparative Performance of Machine Learning Algorithms in Cyberbullying Detection: Using Turkish Language Preprocessing Techniques

Emre Cihan Ates, Erkan Bostanci, Mehmet Serdar Guzel

With the increasing use of the internet and social media, it is obvious that cyberbullying has become a major problem. The most basic way for protection against the dangerous conse…

cs.CY20214 cited

Machine Translation, Sentiment Analysis, Text Similarity, Topic Modelling, and Tweets: Understanding Social Media Usage Among Police and Gendarmerie Organizations

Emre Cihan Ates, Erkan Bostanci, Mehmet Serdar Guzel

It is well known that social media has revolutionized communication. Nowadays, citizens, companies, and public institutions actively use social media in order to express themselves…

eess.IV20217 cited

Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative Study

K. E. Sengun, Y. T. Cetin, M. S Guzel +2

Medical imaging has been employed to support medical diagnosis and treatment. It may also provide crucial information to surgeons to facilitate optimal surgical preplanning and per…

cs.RO2021

Machine Learning Based Early Fire Detection System using a Low-Cost Drone

Ayşegül Yanık, Mehmet Serdar Güzel, Mertkan Yanık +1

This paper proposes a new machine learning based system for forest fire earlier detection in a low-cost and accurate manner. Accordingly, it is aimed to bring a new and definite pe…