| 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 (1), 9067367, 2019 | 226 | 2019 |
| Deep learning‐and word embedding‐based heterogeneous classifier ensembles for text classification ZH Kilimci, S Akyokus Complexity 2018 (1), 7130146, 2018 | 117 | 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 | 54 | 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 | 48 | 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 | 47* | 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 | 39 | 2019 |
| 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 | 37 | 2020 |
| 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 | 32 | 2021 |
| 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 | 29 | 2019 |
| Comprehensive analysis of forest fire detection using deep learning models and conventional machine learning algorithms SB Kukuk, ZH Kilimci International Journal of Computational and Experimental Science and …, 2021 | 26 | 2021 |
| 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 | 25 | 2016 |
| Evaluation of classification models for language processing ZH Kilimci, MC Ganiz 2015 International Symposium on Innovations in Intelligent SysTems and …, 2015 | 24 | 2015 |
| Ensemble regression-based gold price (XAU/USD) prediction ZH Kilimci Journal of Emerging Computer Technologies 2 (1), 7-12, 2022 | 23 | 2022 |
| 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 |
| A novel deep reinforcement learning based stock price prediction using knowledge graph and community aware sentiments AB Altuner, ZH Kilimci Turkish Journal of Electrical Engineering and Computer Sciences 30 (4), 1506 …, 2022 | 18* | 2022 |
| 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 | 18 | 2020 |
| 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 | 15 | 2012 |
| Sentiment analysis based churn prediction in mobile games using word embedding models and deep learning algorithms ZH Kilimci, H Yörük, S Akyokus 2020 international conference on innovations in intelligent systems and …, 2020 | 14 | 2020 |
| 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 | 13* | 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 | 13 | 2019 |
Selim AKYOKUŞIstanbul Medipol UniversityEmail được xác minh tại medipol.edu.tr
