Z. H. Kilimci

发表

Exploiting Turkish Wikipedia as a semantic resource for text classification

M. Poyraz, M. C. Ganiz, S. Akyokus, 2012, 2012 International Symposium on Innovations in Intelligent Systems and Applications.

Higher-Order Smoothing: A Novel Semantic Smoothing Method for Text Classification

Murat Can Ganiz, Mitat Poyraz, Zeynep Hilal Kilimci, 2014, Journal of Computer Science and Technology.

A Novel Semantic Smoothing Method Based on Higher Order Paths for Text Classification

Murat Can Ganiz, Mitat Poyraz, Zeynep Hilal Kilimci, 2012, 2012 IEEE 12th International Conference on Data Mining.

The Prediction of Chiral Metamaterial Resonance using Convolutional Neural Networks and Conventional Machine Learning Algorithms

Zeynep Hilal Kilimci, Z. H. Kilimci, Aybike Ural, 2021, International Journal of Computational and Experimental Science and Engineering.

An ensemble-based framework for mispronunciation detection of Arabic phonemes

Zeynep Hilal Kilimci, Z. H. Kilimci, Sükrü Selim Çalik, 2023, Applied Acoustics.

The effectiveness of homogenous ensemble classifiers for Turkish and English texts

Selim Akyokus, Sevinç Ilhan Omurca, Zeynep Hilal Kilimci, 2016, 2016 International Symposium on INnovations in Intelligent SysTems and Applications (INISTA).

Deep Learning- and Word Embedding-Based Heterogeneous Classifier Ensembles for Text Classification

Selim Akyokus, Zeynep Hilal Kilimci, Z. H. Kilimci, 2018, Complex..

The Prediction of Short-Term Bitcoin Dollar Rate (BTC/USDT) using Deep and Hybrid Deep Learning Techniques

Z. H. Kilimci, Hasan Kilimci, Mehmet Yıldırım, 2021, 2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).

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 Exchange (BIST 100)

Ramazan Duvar, Zeynep Hilal Kilimci, Z. H. Kilimci, 2020, IEEE Access.

The Evaluation of Word Embedding Models and Deep Learning Algorithms for Turkish Text Classification

Selim Akyokuş, Zeynep Hilal Kilimci, Z. H. Kilimci, 2019, 2019 4th International Conference on Computer Science and Engineering (UBMK).

Comprehensive Analysis of Forest Fire Detection using Deep Learning Models and Conventional Machine Learning Algorithms

Zeynep Hilal Kilimci, Z. H. Kilimci, Süha Berk Kukuk, 2021, International Journal of Computational and Experimental Science and Engineering.

A Hybrid Deep Model Using Deep Learning and Dense Optical Flow Approaches for Human Activity Recognition

Mitat Uysal, Senem Tanberk, Dilek Bilgin Tükel, 2020, IEEE Access.

Evaluating raw waveforms with deep learning frameworks for speech emotion recognition

Zeynep Hilal Kilimci, Z. H. Kilimci, Ayhan Kucukmanisa, 2023, ArXiv.

Sentiment Analysis Based Direction Prediction in Bitcoin using Deep Learning Algorithms and Word Embedding Models

Zeynep Hilal Kilimci, Z. H. Kilimci, 2020 .

An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain

Mitat Uysal, Selim Akyokus, Zeynep Hilal Kilimci, 2019, Complex..

Evaluation of classification models for language processing

Murat Can Ganiz, Zeynep Hilal Kilimci, Z. H. Kilimci, 2015, 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA).

The evaluation of Parkinson's disease with sentiment analysis using deep learning methods and word embedding models

Zeynep Hilal Kilimci, Z. H. Kilimci, Feyza Cevik, 2021, Pamukkale University Journal of Engineering Sciences.

Financial sentiment analysis with Deep Ensemble Models (DEMs) for stock market prediction

Z. H. Kilimci, Z. Kilimci, 2019 .

US Dollar/Turkish Lira Exchange Rate Forecasting Model Based on Deep Learning Methodologies and Time Series Analysis

Zeynep Hilal Kilimci, Z. H. Kilimci, Harun Yasar, 2020, Symmetry.

Mood Detection from Physical and Neurophysical Data Using Deep Learning Models

Mitat Uysal, Selim Akyokus, Zeynep Hilal Kilimci, 2019, Complex..

Prediction of user loyalty in mobile applications using deep contextualized word representations

Z. H. Kilimci, 2021, J. Inf. Telecommun..

Sentiment Analysis Based Churn Prediction in Mobile Games using Word Embedding Models and Deep Learning Algorithms

Selim Akyokus, Zeynep Hilal Kilimci, Z. H. Kilimci, 2020, 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA).

Analysis of Parkinson’s Disease using Deep Learning and Word Embedding Models

Zeynep Hilal Kilimci, Feyza Çevik, Z. H. Kilimci, 2019 .

An efficient consolidation of word embedding and deep learning techniques for classifying anticancer peptides: FastText+BiLSTM

Zeynep Hilal Kilimci, Z. H. Kilimci, Onur Karakaya, 2023, PeerJ Comput. Sci..