Fault Diagnosis with Dynamic Fuzzy Discrete Event System Approach. - Erdal Kiliç; Çaglar Karasu; Kemal Leblebicioglu 001 (TAINN, 2005)

Fault Identification in Transformers through a Fuzzy Discrete Event System Approach. - Erdal Kiliç; Okan Ozgonenel; Mustafa Ulutas (FUZZ-IEEE, 2007)

Diagnosability of fuzzy discrete event systems. - Erdal Kiliç (Inf. Sci., 2008)

Modeling and real-time fault identification in transformers. - Okan Ozgonenel; Erdal Kiliç (J. Frankl. Inst., 2008)

Diagnosis of breast cancer with an innovative adaptive Support Vector Machine. - Engin Karacan; Erdal Kiliç (SIU, 2012)

Detection of pectoral muscle boundary in mammograms. - Ilke Tunali; Erdal Kiliç (SIU, 2012)

From classic observability to a simple fuzzy observability for fuzzy discrete-event systems. - Erdal Kiliç; Kemal Leblebicioglu 001 (Inf. Sci., 2012)

A fast and adaptive automated disease diagnosis method with an innovative neural network model. - Erdem Alkim; Emre Gürbüz; Erdal Kiliç (Neural Networks, 2012)

Mass segmantation on mammograms using active contours. - Ilke Tunali; Erdal Kiliç (SIU, 2013)

A new adaptive support vector machine for diagnosis of diseases. - Emre Gürbüz; Erdal Kiliç (Expert Syst. J. Knowl. Eng., 2014)

Two new feature extraction methods for text classification: TESDF and SADF. - Erdal Kiliç; Nurullah Ates; Aykut Karakaya; Durmus Ozkan Sahin (SIU, 2015)

Classification of breaking news taken from the online news sites. - Erdal Kiliç; Mustafa Resit Tavus; Zehra Karhan (SIU, 2015)

An automated clustering algorithm based on agglomerative clustering. - Armagan Karabina; Erdal Kiliç (SIU, 2016)

Intelligent mobile drawing platform. - Oguz Emre Kural; Erdal Kiliç (SIU, 2016)

A mail discrimination study using network basis tools. - Murat Özdemir; Erdal Kiliç (SIU, 2016)

Feature selection in text classification. - Durmus Ozkan Sahin; Nurullah Ates; Erdal Kiliç (SIU, 2016)

Machine learning based interactive drawing platform. - Oguz Emre Kural; Erdal Kiliç (SIU, 2017)

A Modified Parallel Learning Vector Quantization Algorithm for Real-Time Hardware Applications. - Erdem Alkim; Sedat Akleylek; Erdal Kiliç (J. Circuits Syst. Comput., 2017)

Performance analysis of rule based automatic SNN algorithm on big data sets. - Aslihan Cavus; Armagan Karabina; Erdal Kiliç (SIU, 2018)

A Text Classification Application: Poet Detection from Poetry. - Durmus Ozkan Sahin; Oguz Emre Kural; Erdal Kiliç; Armagan Karabina (CoRR, 2018)

Comparison of Classification Algorithms Used Medical Documents Categorization. - Durmus Ozkan Sahin; Erdal Kiliç (CoRR, 2018)

Stocks Prices Prediction with Long Short-term Memory. - Zýnnet Duygu Akþehýr; Erdal Kiliç; Sedat Akleylek; Mesut Döngül; Burak Coskun (IoTBDS, 2020)

Filtering Turkish Spam Using LSTM From Deep Learning Techniques. - Ersin Enes Eryilmaz; Durmus Özkan Sahin; Erdal Kiliç (ISDFS, 2020)

Comparison of Regression Methods in Permission Based Android Malware Detection. - Durmus Özkan Sahin; Oguz Emre Kural; Sedat Akleylek; Erdal Kiliç (SIU, 2020)

On the Effect of k Values and Distance Metrics in KNN Algorithm for Android Malware Detection. - Durmus Özkan Sahin; Sedat Akleylek; Erdal Kiliç (Adv. Data Sci. Adapt. Anal., 2021)

Permission-based Android malware analysis by using dimension reduction with PCA and LDA. - Durmus Özkan Sahin; Oguz Emre Kural; Sedat Akleylek; Erdal Kiliç (J. Inf. Secur. Appl., 2021)

How to Handle Data Imbalance and Feature Selection Problems in CNN-Based Stock Price Forecasting. - Zýnnet Duygu Akþehýr; Erdal Kiliç (IEEE Access, 2022)

LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers. - Durmus Özkan Sahin; Sedat Akleylek; Erdal Kiliç (IEEE Access, 2022)

Apk2Audio4AndMal: Audio Based Malware Family Detection Framework. - Oguz Emre Kural; Erdal Kiliç; Ceyda Aksaç (IEEE Access, 2023)

Low-Resource Neural Machine Translation: A Systematic Literature Review. - Bilge Kagan Yazar; Durmus Özkan Sahin; Erdal Kiliç (IEEE Access, 2023)

A novel Android malware detection system: adaption of filter-based feature selection methods. - Durmus Özkan Sahin; Oguz Emre Kural; Sedat Akleylek; Erdal Kiliç (J. Ambient Intell. Humaniz. Comput., 2023)

A novel permission-based Android malware detection system using feature selection based on linear regression. - Durmus Özkan Sahin; Oguz Emre Kural; Sedat Akleylek; Erdal Kiliç (Neural Comput. Appl., 2023)

Review of Hierarchical Transfer Learning Architecture in Low-Resource Machine Translation. - Bilge Kagan Yazar; Erdal Kiliç (SIU, 2024)

KTUCengAudioForgerySet: A new Audio Copy-Move Forgery Dataset. - Beste Ustubioglu; Gul Tahaoglu; Gulsen Ozcamkan Ayaz; Arda Ustubioglu; Güzin Ulutas; Mevhibe Cosar; Erdal Kiliç; Muhammed Kiliç (TSP, 2024)

A new denoising approach based on mode decomposition applied to the stock market time series: 2LE-CEEMDAN. - Zinnet Duygu Aksehir; Erdal Kiliç (PeerJ Comput. Sci., 2024)

Multi level perspectives in stock price forecasting: ICE2DE-MDL. - Zinnet Duygu Aksehir; Erdal Kiliç (PeerJ Comput. Sci., 2024)

Analyzing the critical steps in deep learning-based stock forecasting: a literature review. - Zinnet Duygu Aksehir; Erdal Kiliç (PeerJ Comput. Sci., 2024)

Deep Reinforcement Learning-Based Controller for Field-Oriented Control of SynRM. - Erdal Kiliç (IEEE Access, 2025)

Improving Low-Resource Kazakh-English and Turkish-English Neural Machine Translation Using Transfer Learning and Part of Speech Tags. - Bilge Kagan Yazar; Erdal Kiliç (IEEE Access, 2025)

Using Kolmogorov-Arnold Networks in Transformer Model: A Study on Low-Resource Neural Machine Translation. - Bilge Kagan Yazar; Erdal Kiliç (IEEE Access, 2025)