Ekrem Varoğlu

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

Abbas Akkasi, Ekrem Varoğlu, Nazife Dimililer · Applied Intelligence · 2017 · 41 citations

Engineering, Corpus Linguistics, Text Mining +17

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

Abbas Akkasi, Ekrem Varoğlu, Nazife Dimililer · BioMed Research International · 2016 · 30 citations · Full text

Engineering, Corpus Linguistics, Text Mining +22

Classifier subset selection for biomedical named entity recognition

Nazife Dimililer, Ekrem Varoğlu, Hakan Altınçay · Applied Intelligence · 2008 · 19 citations

Engineering, Machine Learning, Data Science +8

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

Zafer Erenel, Hakan Altınçay, Ekrem Varoğlu · Journal of information science and engineering · 2011 · 16 citations

Engineering, Term Occurrence Probabilities, Asymmetric Term +22

Improving Biochemical Named Entity Recognition Using PSO Classifier Selection and Bayesian Combination Methods

Abbas Akkasi, Ekrem Varoğlu · IEEE/ACM Transactions on Computational Biology and Bioinformatics · 2016 · 15 citations

Engineering, Machine Learning, Feature Selection +24