H
Humar Kahramanli
Researcher at Selçuk University
Publications - 27
Citations - 658
Humar Kahramanli is an academic researcher from Selçuk University. The author has contributed to research in topics: Artificial neural network & Mel-frequency cepstrum. The author has an hindex of 8, co-authored 27 publications receiving 523 citations.
Papers
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Journal ArticleDOI
Design of a hybrid system for the diabetes and heart diseases
TL;DR: A new method for classification of data of a medical database is presented and one of the best results compared with results obtained from related previous studies and reported in the UCI web sites is observed.
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Rule extraction from trained adaptive neural networks using artificial immune systems
TL;DR: A new method that uses artificial immune systems (AIS) algorithm has been presented to extract rules from trained adaptive neural network to achieve one of the best results comparing with results obtained from related previous studies and reported in UCI web sites.
Journal ArticleDOI
Application of fuzzy C-means clustering algorithm to spectral features for emotion classification from speech
Semiye Demircan,Humar Kahramanli +1 more
TL;DR: The results showed that using FCM for preprocessing aim increased the success rate of emotion recognition from speech signals and the maximum success rate was obtained as 92.86% using the SVM classifier.
Journal ArticleDOI
Feature Extraction from Speech Data for Emotion Recognition
Semiye Demircan,Humar Kahramanli +1 more
TL;DR: Pre-processing necessary for emotion recognition from speech data is performed and Mel Frequency Cepstral Coefficients (MFCC) from the signals are extracted and classified with k-NN algorithm.
Journal ArticleDOI
Extracting rules for classification problems: AIS based approach
TL;DR: A method that uses Artificial Immune Systems (AIS) algorithm has been presented to extract rules from trained hybrid neural network to achieve one of the best results comparing with results obtained from related previous studies and reported in UCI web sites.