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2020 – today
- 2024
[j17]Zinnet Duygu Aksehir, Erdal Kiliç
:
A new denoising approach based on mode decomposition applied to the stock market time series: 2LE-CEEMDAN. PeerJ Comput. Sci. 10: e1852 (2024)- [j16]Zinnet Duygu Aksehir, Erdal Kiliç:
Multi level perspectives in stock price forecasting: ICE2DE-MDL. PeerJ Comput. Sci. 10: e2125 (2024) - [j15]Zinnet Duygu Aksehir, Erdal Kiliç:
Analyzing the critical steps in deep learning-based stock forecasting: a literature review. PeerJ Comput. Sci. 10: e2312 (2024) - [c18]Bilge Kagan Yazar, Erdal Kiliç:
Review of Hierarchical Transfer Learning Architecture in Low-Resource Machine Translation. SIU 2024: 1-4 - [c17]Beste Ustubioglu, Gul Tahaoglu, Gulsen Ozcamkan Ayaz, Arda Ustubioglu, Güzin Ulutas, Mevhibe Cosar, Erdal Kiliç, Muhammed Kiliç:
KTUCengAudioForgerySet: A new Audio Copy-Move Forgery Dataset. TSP 2024: 123-129 - 2023
- [j14]Oguz Emre Kural, Erdal Kiliç, Ceyda Aksaç:
Apk2Audio4AndMal: Audio Based Malware Family Detection Framework. IEEE Access 11: 27527-27535 (2023) - [j13]Bilge Kagan Yazar, Durmus Özkan Sahin, Erdal Kiliç:
Low-Resource Neural Machine Translation: A Systematic Literature Review. IEEE Access 11: 131775-131813 (2023) - [j12]Durmus Özkan Sahin, Oguz Emre Kural, Sedat Akleylek, Erdal Kiliç:
A novel Android malware detection system: adaption of filter-based feature selection methods. J. Ambient Intell. Humaniz. Comput. 14(2): 1243-1257 (2023) - [j11]Durmus Özkan Sahin, Oguz Emre Kural, Sedat Akleylek, Erdal Kiliç:
A novel permission-based Android malware detection system using feature selection based on linear regression. Neural Comput. Appl. 35(7): 4903-4918 (2023) - 2022
- [j10]Durmus Özkan Sahin, Sedat Akleylek, Erdal Kiliç:
LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers. IEEE Access 10: 14246-14259 (2022) - [j9]Zýnnet Duygu Akþehýr, Erdal Kiliç:
How to Handle Data Imbalance and Feature Selection Problems in CNN-Based Stock Price Forecasting. IEEE Access 10: 31297-31305 (2022) - 2021
- [j8]Durmus Özkan Sahin, Sedat Akleylek, Erdal Kiliç:
On the Effect of k Values and Distance Metrics in KNN Algorithm for Android Malware Detection. Adv. Data Sci. Adapt. Anal. 13(3&4): 2141001:1-2141001:20 (2021) - [j7]Durmus Özkan Sahin, Oguz Emre Kural, Sedat Akleylek, Erdal Kiliç:
Permission-based Android malware analysis by using dimension reduction with PCA and LDA. J. Inf. Secur. Appl. 63: 102995 (2021) - 2020
- [c16]Zýnnet Duygu Akþehýr, Erdal Kiliç, Sedat Akleylek, Mesut Döngül, Burak Coskun:
Stocks Prices Prediction with Long Short-term Memory. IoTBDS 2020: 221-226 - [c15]Ersin Enes Eryilmaz, Durmus Özkan Sahin, Erdal Kiliç:
Filtering Turkish Spam Using LSTM From Deep Learning Techniques. ISDFS 2020: 1-6 - [c14]Durmus Özkan Sahin, Oguz Emre Kural, Sedat Akleylek, Erdal Kiliç:
Comparison of Regression Methods in Permission Based Android Malware Detection. SIU 2020: 1-4
2010 – 2019
- 2018
- [c13]Aslihan Cavus, Armagan Karabina, Erdal Kiliç:
Performance analysis of rule based automatic SNN algorithm on big data sets. SIU 2018: 1-4 - [i2]Durmus Ozkan Sahin, Oguz Emre Kural, Erdal Kiliç, Armagan Karabina:
A Text Classification Application: Poet Detection from Poetry. CoRR abs/1810.11414 (2018) - [i1]Durmus Ozkan Sahin, Erdal Kiliç:
Comparison of Classification Algorithms Used Medical Documents Categorization. CoRR abs/1811.00869 (2018) - 2017
- [j6]Erdem Alkim, Sedat Akleylek, Erdal Kiliç:
A Modified Parallel Learning Vector Quantization Algorithm for Real-Time Hardware Applications. J. Circuits Syst. Comput. 26(10): 1750156:1-1750156:14 (2017) - [c12]Oguz Emre Kural, Erdal Kiliç:
Machine learning based interactive drawing platform. SIU 2017: 1-4 - 2016
- [c11]Murat Özdemir, Erdal Kiliç:
A mail discrimination study using network basis tools. SIU 2016: 1537-1540 - [c10]Oguz Emre Kural, Erdal Kiliç:
Intelligent mobile drawing platform. SIU 2016: 1765-1768 - [c9]Durmus Ozkan Sahin, Nurullah Ates, Erdal Kiliç:
Feature selection in text classification. SIU 2016: 1777-1780 - [c8]Armagan Karabina, Erdal Kiliç:
An automated clustering algorithm based on agglomerative clustering. SIU 2016: 1801-1804 - 2015
- [c7]Erdal Kiliç, Mustafa Resit Tavus, Zehra Karhan:
Classification of breaking news taken from the online news sites. SIU 2015: 363-366 - [c6]Erdal Kiliç, Nurullah Ates, Aykut Karakaya, Durmus Ozkan Sahin:
Two new feature extraction methods for text classification: TESDF and SADF. SIU 2015: 475-478 - 2014
- [j5]Emre Gürbüz, Erdal Kiliç:
A new adaptive support vector machine for diagnosis of diseases. Expert Syst. J. Knowl. Eng. 31(5): 389-397 (2014) - 2013
- [c5]Ilke Tunali, Erdal Kiliç:
Mass segmantation on mammograms using active contours. SIU 2013: 1-4 - 2012
- [j4]Erdal Kiliç, Kemal Leblebicioglu:
From classic observability to a simple fuzzy observability for fuzzy discrete-event systems. Inf. Sci. 187: 224-232 (2012) - [j3]Erdem Alkim, Emre Gürbüz, Erdal Kiliç:
A fast and adaptive automated disease diagnosis method with an innovative neural network model. Neural Networks 33: 88-96 (2012) - [c4]Engin Karacan, Erdal Kiliç:
Diagnosis of breast cancer with an innovative adaptive Support Vector Machine. SIU 2012: 1-4 - [c3]Ilke Tunali, Erdal Kiliç:
Detection of pectoral muscle boundary in mammograms. SIU 2012: 1-4
2000 – 2009
- 2008
- [j2]Erdal Kiliç:
Diagnosability of fuzzy discrete event systems. Inf. Sci. 178(3): 858-870 (2008) - [j1]Okan Ozgonenel, Erdal Kiliç:
Modeling and real-time fault identification in transformers. J. Frankl. Inst. 345(3): 205-225 (2008) - 2007
- [c2]Erdal Kiliç, Okan Ozgonenel, Mustafa Ulutas:
Fault Identification in Transformers through a Fuzzy Discrete Event System Approach. FUZZ-IEEE 2007: 1-6 - 2005
- [c1]Erdal Kiliç, Çaglar Karasu, Kemal Leblebicioglu:
Fault Diagnosis with Dynamic Fuzzy Discrete Event System Approach. TAINN 2005: 117-124
Coauthor Index
aka: Durmus Özkan Sahin
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last updated on 2024-10-25 21:18 CEST by the dblp team
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