Robust multiobjective evolutionary feature subset selection algorithm for binary classification using machine learning techniques. - Ayça Deniz; Hakan Ezgi Kiziloz; Tansel Dökeroglu; Ahmet Cosar (Neurocomputing, 2017)

Novel multiobjective TLBO algorithms for the feature subset selection problem. - Hakan Ezgi Kiziloz; Ayça Deniz; Tansel Dökeroglu; Ahmet Cosar (Neurocomputing, 2018)

On initial population generation in feature subset selection. - Ayça Deniz; Hakan Ezgi Kiziloz (Expert Syst. Appl., 2019)

Feature Selection with Dynamic Classifier Ensembles. - Hakan Ezgi Kiziloz; Ayça Deniz (SMC, 2020)

Boosting gender identification using author preference. - Tayfun Kucukyilmaz; Ayça Deniz; Hakan Ezgi Kiziloz (Pattern Recognit. Lett., 2020)

Sentiment and Context-refined Word Embeddings for Sentiment Analysis. - Ayça Deniz; Merih Angin; Pelin Angin (SMC, 2021)

Evolutionary Multiobjective Feature Selection for Sentiment Analysis. - Ayça Deniz; Merih Angin; Pelin Angin (IEEE Access, 2021)

An evolutionary parallel multiobjective feature selection framework. - Hakan Ezgi Kiziloz; Ayça Deniz (Comput. Ind. Eng., 2021)

A robust multiobjective Harris' Hawks Optimization algorithm for the binary classification problem. - Tansel Dökeroglu; Ayça Deniz; Hakan Ezgi Kiziloz (Knowl. Based Syst., 2021)

Boosting Initial Population in Multiobjective Feature Selection with Knowledge-Based Partitioning. - Ayça Deniz; Hakan Ezgi Kiziloz (IJCNN, 2022)

Understanding IMF Decision-Making with Sentiment Analysis. - Ayça Deniz; Merih Angin; Pelin Angin (SIU, 2022)

Predicting the severity of COVID-19 patients using a multi-threaded evolutionary feature selection algorithm. - Ayça Deniz; Hakan Ezgi Kiziloz; Ender Sevinç; Tansel Dökeroglu (Expert Syst. J. Knowl. Eng., 2022)

A comprehensive survey on recent metaheuristics for feature selection. - Tansel Dökeroglu; Ayça Deniz; Hakan Ezgi Kiziloz (Neurocomputing, 2022)

Context- and sentiment-aware machine learning models for sentiment analysis (Duygu analizi için bağlam ve duyguya duyarlı makine öğrenmesi modelleri) - Ayça Deniz (2023)

Malware Speaks! Deep Learning Based Assembly Code Processing for Detecting Evasive Cryptojacking. - Ganapathy Mani; Myeongsu Kim; Bharat K. Bhargava; Pelin Angin; Ayça Deniz; Vikram Pasumarti (IEEE Trans. Dependable Secur. Comput., 2024)