Erdal Kiliç

Orcid: 0000-0003-1585-0991

According to our database1, Erdal Kiliç authored at least 37 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Analyzing the critical steps in deep learning-based stock forecasting: a literature review.
PeerJ Comput. Sci., 2024

Multi level perspectives in stock price forecasting: ICE2DE-MDL.
PeerJ Comput. Sci., 2024

A new denoising approach based on mode decomposition applied to the stock market time series: 2LE-CEEMDAN.
PeerJ Comput. Sci., 2024

KTUCengAudioForgerySet: A new Audio Copy-Move Forgery Dataset.
Proceedings of the 47th International Conference on Telecommunications and Signal Processing, 2024

Review of Hierarchical Transfer Learning Architecture in Low-Resource Machine Translation.
Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024

2023
A novel permission-based Android malware detection system using feature selection based on linear regression.
Neural Comput. Appl., March, 2023

A novel Android malware detection system: adaption of filter-based feature selection methods.
J. Ambient Intell. Humaniz. Comput., February, 2023

Low-Resource Neural Machine Translation: A Systematic Literature Review.
IEEE Access, 2023

Apk2Audio4AndMal: Audio Based Malware Family Detection Framework.
IEEE Access, 2023

2022
LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers.
IEEE Access, 2022

How to Handle Data Imbalance and Feature Selection Problems in CNN-Based Stock Price Forecasting.
IEEE Access, 2022

2021
Permission-based Android malware analysis by using dimension reduction with PCA and LDA.
J. Inf. Secur. Appl., 2021

On the Effect of k Values and Distance Metrics in KNN Algorithm for Android Malware Detection.
Adv. Data Sci. Adapt. Anal., 2021

2020
Comparison of Regression Methods in Permission Based Android Malware Detection.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Filtering Turkish Spam Using LSTM From Deep Learning Techniques.
Proceedings of the 8th International Symposium on Digital Forensics and Security, 2020

Stocks Prices Prediction with Long Short-term Memory.
Proceedings of the 5th International Conference on Internet of Things, 2020

2018
Comparison of Classification Algorithms Used Medical Documents Categorization.
CoRR, 2018

A Text Classification Application: Poet Detection from Poetry.
CoRR, 2018

Performance analysis of rule based automatic SNN algorithm on big data sets.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2017
A Modified Parallel Learning Vector Quantization Algorithm for Real-Time Hardware Applications.
J. Circuits Syst. Comput., 2017

Machine learning based interactive drawing platform.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2016
Feature selection in text classification.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

A mail discrimination study using network basis tools.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Intelligent mobile drawing platform.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

An automated clustering algorithm based on agglomerative clustering.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

2015
Classification of breaking news taken from the online news sites.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Two new feature extraction methods for text classification: TESDF and SADF.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

2014
A new adaptive support vector machine for diagnosis of diseases.
Expert Syst. J. Knowl. Eng., 2014

2013
Mass segmantation on mammograms using active contours.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

2012
A fast and adaptive automated disease diagnosis method with an innovative neural network model.
Neural Networks, 2012

From classic observability to a simple fuzzy observability for fuzzy discrete-event systems.
Inf. Sci., 2012

Detection of pectoral muscle boundary in mammograms.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Diagnosis of breast cancer with an innovative adaptive Support Vector Machine.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

2008
Modeling and real-time fault identification in transformers.
J. Frankl. Inst., 2008

Diagnosability of fuzzy discrete event systems.
Inf. Sci., 2008

2007
Fault Identification in Transformers through a Fuzzy Discrete Event System Approach.
Proceedings of the FUZZ-IEEE 2007, 2007

2005
Fault Diagnosis with Dynamic Fuzzy Discrete Event System Approach.
Proceedings of the Artificial Intelligence and Neural Networks, 14th Turkish Symposium, 2005


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