OpenAlex 505 works 32 author topics
Works
505 works
-
YÖKSİS
SJR Q1
JCR Q2
OpenAlex top 10%
OpenAlex 98.4%
No abstract yet.
-
YÖKSİS
SJR Q1
JCR Q1
OpenAlex top 1%
OpenAlex 99.9%
No abstract yet.
-
YÖKSİS
SJR Q1
JCR Q1
OpenAlex top 1%
OpenAlex 99.8%
No abstract yet.
-
YÖKSİS
SJR Q2
JCR Q2
OpenAlex top 10%
OpenAlex 96.8%
To determine the number of clusters in the clustering analysis that has a broad range of applied sciences, such as physics, chemistry, biology, engineering, economics etc., many methods have been proposed in the literature. The aim of this paper is to determine the number of clusters of a dataset in a model-based clus…
-
YÖKSİS
SJR Q2
JCR Q3
OpenAlex top 10%
OpenAlex 98.6%
No abstract yet.
-
YÖKSİS
SJR Q1
JCR Q1
OpenAlex top 1%
OpenAlex 99.4%
No abstract yet.
-
OpenAlex top 10%
OpenAlex 97.2%
In many modern applications from, for example, bioinformatics and computer vision, samples have multiple feature representations coming from different data sources. Multiview learning algorithms try to exploit all these available information to obtain a better learner in such scenarios. In this paper, we propose a nov…
-
YÖKSİS
SJR Q1
JCR Q1
OpenAlex top 10%
OpenAlex 98.9%
No abstract yet.
-
YÖKSİS
SJR Q3
JCR Q1
OpenAlex top 10%
OpenAlex 95.6%
Community detection is one of the most active fields in complex network analysis, due to its potential value in practical applications. Many works inspired by different paradigms are devoted to the development of algorithmic solutions allowing the network structure in such cohesive subgroups to be revealed. Comparativ…
-
YÖKSİS
SJR Q2
JCR Q3
OpenAlex 87.7%
Purpose The immense quantity of available unstructured text documents serve as one of the largest source of information. Text classification can be an essential task for many purposes in information retrieval, such as document organization, text filtering and sentiment analysis. Ensemble learning has been extensively…
-
OpenAlex top 10%
OpenAlex 96.7%
No abstract yet.
-
OpenAlex top 10%
OpenAlex 98.8%
In this work, performance of the Artificial Bee Colony Algorithm which is a recently proposed algorithm, has been tested on fuzzy clustering. We applied the Artificial Bee Colony (ABC) Algorithm fuzzy clustering to classify different data sets; Cancer, Diabetes and Heart from UCI database, a collection of classificati…
Academicians
32 academicians
- CEM İYİGÜN 13 author topics
- EFENDİ NASİBOĞLU 13 author topics
- TANSEL ÖZYER 13 author topics
- GÖZDE ULUTAGAY 11 author topics
- BURAK ORDİN 6 author topics
- MAHDI HASHEMZADEH 6 author topics
- MARUF GÖGEBAKAN 5 author topics
- ŞADİ ŞEHAB 5 author topics
- AYLİN TAŞTAN 4 author topics
- GÜZİN YÜKSEL 4 author topics
- HAMZA EROL 4 author topics
- MURAT ERİŞOĞLU 4 author topics