Ekrem Varoglu

12 papers C 1Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2018 J jnl
Balanced undersampling: a novel sentence-based undersampling method to improve recognition of named entities in chemical and biomedical text.
Appl. Intell.
Abbas Akkasi, Ekrem Varoglu, Nazife Dimililer
2017 J jnl
Improving Biochemical Named Entity Recognition Using PSO Classifier Selection and Bayesian Combination Methods.
IEEE ACM Trans. Comput. Biol. Bioinform.
Abbas Akkasi, Ekrem Varoglu
2013 — conf
NTreceptorDB: a Database of Polymorphisms and Disease-Gene Associations in Behavioral Disorders .
IWBBIO
Aliyu Kabir Musa, Ekrem Varoglu, Bahar Taneri
2011 J jnl
Explicit Use of Term Occurrence Probabilities for Term Weighting in Text Categorization.
J. Inf. Sci. Eng.
Zafer Erenel, Hakan Altinçay, Ekrem Varoglu
2010 J jnl
Functional variation of alternative splice forms in their protein interaction networks: a literature mining approach.
BMC Bioinform.
Senay Kafkas, Ekrem Varoglu, Dietrich Rebholz-Schuhmann, Bahar Taneri
2009 J jnl
Classifier subset selection for biomedical named entity recognition.
Appl. Intell.
Nazife Dimililer, Ekrem Varoglu, Hakan Altinçay
2007 — conf
Vote-Based Classifier Selection for Biomedical NER Using Genetic Algorithms.
IbPRIA (2)
Nazife Dimililer, Ekrem Varoglu, Hakan Altinçay
2006 — conf
Recognizing Biomedical Named Entities Using SVMs: Improving Recognition Performance with a Minimal Set of Features.
KDLL
Nazife Dimililer, Ekrem Varoglu
2005 C conf
Face Modeling and Adaptive Texture Mapping for Model Based Video Coding.
CAIP
Kamil Yurtkan, Hamit Soyel, Hasan Demirel, Hüseyin Özkaramanli, Mustafa Uyguroglu, Ekrem Varoglu
2005 — conf
Face Modeling and Animation for MPEG-4 Compliant Model based Video Coding.
Computer Graphics and Imaging
Hamit Soyel, Kamil Yurtkan, Hasan Demirel, Hüseyin Özkaramanli, Mustafa Uyguroglu, Ekrem Varoglu
1999 — conf
A recurrent neural network speech predictor based on dynamical systems approach.
NSIP
Ekrem Varoglu, Kadri Hacioglu
1996 — conf
Nonlinear formant-pitch prediction using Recurrent Neural Networks.
EUSIPCO
Ekrem Varoglu, Kadri Hacioglu