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Zeynep Hilal Kilimci
Zeynep Hilal Kilimci
Assoc. Prof. at Department of Information Systems Engineering, Kocaeli University
Verified email at kocaeli.edu.tr - Homepage
Title
Cited by
Cited by
Year
An improved demand forecasting model using deep learning approach and proposed decision integration strategy for supply chain
ZH Kilimci, AO Akyuz, M Uysal, S Akyokus, MO Uysal, B Atak Bulbul, ...
Complexity 2019, 2019
1732019
Deep learning-and word embedding-based heterogeneous classifier ensembles for text classification
ZH Kilimci, S Akyokus
Complexity 2018, 2018
902018
A hybrid deep model using deep learning and dense optical flow approaches for human activity recognition
S Tanberk, ZH Kilimci, DB Tükel, M Uysal, S Akyokuş
IEEE Access 8, 19799-19809, 2020
462020
Sentiment analysis based direction prediction in bitcoin using deep learning algorithms and word embedding models
ZH Kilimci
International Journal of Intelligent Systems and Applications in Engineering …, 2020
372020
Financial sentiment analysis with Deep Ensemble Models (DEMs) for stock market prediction
ZH Kilimci
Journal of the Faculty of Engineering and Architecture of Gazi University 35 …, 2020
37*2020
The evaluation of word embedding models and deep learning algorithms for Turkish text classification
ZH Kilimci, S Akyokuş
2019 4th International Conference on Computer Science and Engineering (UBMK …, 2019
312019
An efficient word embedding and deep learning based model to forecast the direction of stock exchange market using Twitter and financial news sites: a case of Istanbul stock …
ZH Kilimci, R Duvar
IEEE Access 8, 188186-188198, 2020
302020
The prediction of chiral metamaterial resonance using convolutional neural networks and conventional machine learning algorithms
A Ural, ZH Kilimci
International Journal of Computational and Experimental Science and …, 2021
292021
The effectiveness of homogenous ensemble classifiers for Turkish and English texts
ZH Kilimci, S Akyokus, SI Omurca
2016 International Symposium on INnovations in Intelligent SysTems and …, 2016
242016
Evaluation of classification models for language processing
ZH Kilimci, MC Ganiz
2015 International Symposium on Innovations in Intelligent SysTems and …, 2015
242015
Higher-order smoothing: a novel semantic smoothing method for text classification
M Poyraz, ZH Kilimci, MC Ganiz
Journal of Computer Science and Technology 29, 376-391, 2014
242014
Financial sentiment analysis for predicting direction of stocks using bidirectional encoder representations from transformers (BERT) and deep learning models
D Othan, ZH Kilimci, M Uysal
Proc. int. conf. innov. intell. technol 2019, 30-35, 2019
222019
US dollar/Turkish lira exchange rate forecasting model based on deep learning methodologies and time series analysis
H Yasar, ZH Kilimci
Symmetry 12 (9), 1553, 2020
172020
Comprehensive analysis of forest fire detection using deep learning models and conventional machine learning algorithms
SB KUKUK, ZH KİLİMCİ
International Journal of Computational and Experimental Science and …, 2021
162021
Exploiting Turkish Wikipedia as a semantic resource for text classification
M Poyraz, MC Ganiz, S Akyokuş, B Görener, ZH Kilimci
2012 International Symposium on Innovations in Intelligent Systems and …, 2012
132012
Ensemble regression-based gold price (XAU/USD) prediction
ZH Kilimci
Journal of Emerging Computer Technologies 2 (1), 7-12, 2022
122022
Derin öğrenme yöntemleri ve kelime yerleştirme modelleri kullanılarak Parkinson hastalığının duygu analiziyle değerlendirilmesi
F Cevik, ZH Kilimci
Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 27 (2), 151-161, 2020
12*2020
Analysis of Parkinson’s disease using deep learning and word embedding models
F Cevik, ZH Kilimci
Academic Perspective Procedia 2 (3), 786-797, 2019
122019
Extended feature spaces based classifier ensembles for sentiment analysis of short texts
ZH Kilimci, SI Omurca
Information Technology and Control 47 (3), 457-470, 2018
122018
A novel semantic smoothing method based on higher order paths for text classification
M Poyraz, ZH Kilimci, MC Ganiz
2012 IEEE 12th International Conference on Data Mining, 615-624, 2012
122012
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