Zeynep Hilal Kilimci
Orcid: 0000-0003-1497-305X
According to our database1,
Zeynep Hilal Kilimci
authored at least 30 papers
between 2012 and 2024.
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Bibliography
2024
An efficient consolidation of word embedding and deep learning techniques for classifying anticancer peptides: FastText+BiLSTM.
PeerJ Comput. Sci., 2024
CoRR, 2024
ACP-ESM: A novel framework for classification of anticancer peptides using protein-oriented transformer approach.
CoRR, 2024
2023
CoRR, 2023
Evaluating raw waveforms with deep learning frameworks for speech emotion recognition.
CoRR, 2023
CoRR, 2023
2022
Prediction of user loyalty in mobile applications using deep contextualized word representations.
J. Inf. Telecommun., 2022
A novel deep reinforcement learning based stock price prediction using knowledge graph and community aware sentiments.
Turkish J. Electr. Eng. Comput. Sci., 2022
Special Issue on International Conference on Innovations in Intelligent Systems and Applications (INISTA 2021).
Concurr. Comput. Pract. Exp., 2022
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2022
2021
A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments.
CoRR, 2021
Stock Market Prediction with New Generation Deep Contextualized Word Representations and Deep Learning Models using User Sentiments.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2021
2020
US Dollar/Turkish Lira Exchange Rate Forecasting Model Based on Deep Learning Methodologies and Time Series Analysis.
Symmetry, 2020
Enhancement of the heuristic optimization based on extended space forests using classifier ensembles.
Int. Arab J. Inf. Technol., 2020
A Hybrid Deep Model Using Deep Learning and Dense Optical Flow Approaches for Human Activity Recognition.
IEEE Access, 2020
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).
IEEE Access, 2020
Sentiment Analysis Based Churn Prediction in Mobile Games using Word Embedding Models and Deep Learning Algorithms.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020
2019
Complex., 2019
An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain.
Complex., 2019
The Analysis of Text Categorization Represented With Word Embeddings Using Homogeneous Classifiers.
Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications, 2019
2018
Topluluk sınıflandırıcıları ve özellik seçme metotlarıyla geliştirilen uzay ormanları (Improved space forests with an ensemble of classifiers and feature selection methods)
PhD thesis, 2018
Extended Feature Spaces Based Classifier Ensembles for Sentiment Analysis of Short Texts.
Inf. Technol. Control., 2018
Deep Learning- and Word Embedding-Based Heterogeneous Classifier Ensembles for Text Classification.
Complex., 2018
2017
Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017
2016
N-gram pattern recognition using multivariate-Bernoulli model with smoothing methods for text classification.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016
Proceedings of the International Symposium on INnovations in Intelligent SysTems and Applications, 2016
2015
Proceedings of the International Symposium on Innovations in Intelligent SysTems and Applications, 2015
2014
J. Comput. Sci. Technol., 2014
2012
A Novel Semantic Smoothing Method Based on Higher Order Paths for Text Classification.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012