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 | 133 | 2019 |
Deep learning-and word embedding-based heterogeneous classifier ensembles for text classification ZH Kilimci, S Akyokus Complexity 2018, 2018 | 83 | 2018 |
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 | 42 | 2020 |
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 | 35* | 2020 |
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 | 30 | 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 | 30 | 2019 |
The prediction of chiral metamaterial resonance using convolutional neural networks and conventional machine learning algorithms U Aybike, ZH KİLİMCİ International Journal of Computational and Experimental Science and …, 2021 | 29 | 2021 |
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 | 28 | 2020 |
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 | 23 | 2016 |
Evaluation of classification models for language processing ZH Kilimci, MC Ganiz 2015 International Symposium on Innovations in Intelligent SysTems and …, 2015 | 23 | 2015 |
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 | 23 | 2014 |
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 | 20 | 2019 |
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 | 16 | 2020 |
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 | 13 | 2012 |
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 | 13 | 2012 |
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 | 12 | 2021 |
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 | 11 | 2018 |
The evaluation of heterogeneous classifier ensembles for Turkish texts ZH Kilimci, S Akyokus, Sİ Omurca 2017 IEEE International Conference on INnovations in Intelligent SysTems and …, 2017 | 11 | 2017 |
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 | 10* | 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 | 10 | 2019 |