Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Ekrem Varoglu"'
Publikováno v:
Personalized Medicine. 14:327-338
Aim: Investigation of association studies within the field of mental and behavioral disorders is of value given their complex molecular etiology including epistatic interactions of multiple genes with small effects. Materials & methods: Utilizing bio
Publikováno v:
Applied Intelligence. 48:1965-1978
The class imbalance problem is a key factor that affects the performance of many classification tasks when using machine learning methods. This mainly refers to the problem where the number of samples in certain classes is much greater than in others
Autor:
Abbas Akkasi, Ekrem Varoglu
Publikováno v:
IEEE/ACM transactions on computational biology and bioinformatics. 14(6)
Named Entity Recognition (NER) is a basic step for large number of consequent text mining tasks in the biochemical domain. Increasing the performance of such recognition systems is of high importance and always poses a challenge. In this study, a new
Publikováno v:
BioMed Research International, Vol 2016 (2016)
BioMed Research International
BioMed Research International
Named Entity Recognition (NER) from text constitutes the first step in many text mining applications. The most important preliminary step for NER systems using machine learning approaches is tokenization where raw text is segmented into tokens. This
Publikováno v:
Applied Intelligence. 31:267-282
Classifier ensembling approach is considered for biomedical named entity recognition task. A vote-based classifier selection scheme having an intermediate level of search complexity between static classifier selection and real-valued and class-depend
Publikováno v:
Proceedings of the 6th International Symposium on Health Informatics and Bioinformatics.
Allelic variation in neurotransmitter receptors have been shown to be implicated both in behavioural variations across individuals in a given population and in various behavioural disorders. There are two aspects of synaptic neurotransmission and its
Publikováno v:
2009 Fifth International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control.
Term weighting schemes used in text categorization can be considered as functions of term occurence probabilities in positive and negative classes. In this paper, widely used weighting schemes are firstly evaluated from this perspective. Then, a nove
Publikováno v:
Pattern Recognition and Image Analysis ISBN: 9783540728481
IbPRIA (2)
IbPRIA (2)
We propose a genetic algorithm for constructing a classifier ensemble using a vote-based classifier selection approach for biomedical named entity recognition task. Assuming that the reliability of the predictions of each classifier differs among cla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7af53269e0a4f6a0e789f9180129b0b0
https://doi.org/10.1007/978-3-540-72849-8_26
https://doi.org/10.1007/978-3-540-72849-8_26
Autor:
Nazife Dimililer, Ekrem Varoglu
Publikováno v:
Knowledge Discovery in Life Science Literature ISBN: 9783540328094
KDLL
KDLL
In this paper, Support Vector Machines (SVMs) are applied to the identification and automatic annotation of biomedical named entities in the domain of molecular biology, as an extension of the traditional named entity recognition task to special doma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98b488f03c27b51e4d5c9d6a543d0fcc
https://doi.org/10.1007/11683568_5
https://doi.org/10.1007/11683568_5
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783540289692
CAIP
CAIP
3D facial synthesis has been frequently used in model based video coding applications and became popular in various multimedia applications. In this paper a 3D face model, its adaptation algorithm and a texture mapping method using two orthogonal pho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c17c497457963c3e7208e4b2e3d9e045
https://doi.org/10.1007/11556121_61
https://doi.org/10.1007/11556121_61