E. Varoglu

Role of neurotransmitter receptors in behavioral disorders - a high-throughput analysis using text mining

B. Taneri, A. Musa, E. Varoglu, 2011, Proceedings of the 6th International Symposium on Health Informatics and Bioinformatics.

Improving Biochemical Named Entity Recognition Performance Using PSO Classifier Selection and Bayesian Combination Method.

E. Varoglu, A. Akkasi, 2016, IEEE/ACM transactions on computational biology and bioinformatics.

Neurotransmitter receptor genotypes associated with mental and behavioral disorders.

B. Taneri, Esra Asilmaz, E. Varoglu, 2017, Personalized medicine.

Balanced undersampling: a novel sentence-based undersampling method to improve recognition of named entities in chemical and biomedical text

Nazife Dimililer, E. Varoglu, A. Akkasi, 2018, Applied Intelligence.

A recurrent neural network speech predictor based on dynamical systems approach

Kadri Hacioglu, Ekrem Varoglu, K. Hacioglu, 2000, NSIP.

Classifier subset selection for biomedical named entity recognition

Hakan Altinçay, Ekrem Varoglu, Nazife Dimililer, 2009, Applied Intelligence.

NTreceptorDB: a Database of Polymorphisms and Disease-Gene Associations in Behavioral Disorders

Bahar Taneri, Ekrem Varoglu, Aliyu Kabir Musa, 2013, IWBBIO.

Explicit Use of Term Occurrence Probabilities for Term Weighting in Text Categorization

Hakan Altinçay, Zafer Erenel, Ekrem Varoglu, 2011, J. Inf. Sci. Eng..

ChemTok: A New Rule Based Tokenizer for Chemical Named Entity Recognition

Abbas Akkasi, Nazife Dimililer, Ekrem Varoğlu, 2016, BioMed research international.

Balanced undersampling: a novel sentence-based undersampling method to improve recognition of named entities in chemical and biomedical text

Nazife Dimililer, E. Varoglu, A. Akkasi, 2017, Applied Intelligence.