Ayça Deniz

Orcid: 0000-0002-9276-4811

Affiliations:
  • Middle East Technical University, Ankara, Turkey


According to our database1, Ayça Deniz authored at least 14 papers between 2017 and 2023.

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

Timeline

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Bibliography

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

2022
A comprehensive survey on recent metaheuristics for feature selection.
Neurocomputing, 2022

Predicting the severity of COVID-19 patients using a multi-threaded evolutionary feature selection algorithm.
Expert Syst. J. Knowl. Eng., 2022

Understanding IMF Decision-Making with Sentiment Analysis.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Boosting Initial Population in Multiobjective Feature Selection with Knowledge-Based Partitioning.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
A robust multiobjective Harris' Hawks Optimization algorithm for the binary classification problem.
Knowl. Based Syst., 2021

An evolutionary parallel multiobjective feature selection framework.
Comput. Ind. Eng., 2021

Evolutionary Multiobjective Feature Selection for Sentiment Analysis.
IEEE Access, 2021

Sentiment and Context-refined Word Embeddings for Sentiment Analysis.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020
Boosting gender identification using author preference.
Pattern Recognit. Lett., 2020

Feature Selection with Dynamic Classifier Ensembles.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019
On initial population generation in feature subset selection.
Expert Syst. Appl., 2019

2018
Novel multiobjective TLBO algorithms for the feature subset selection problem.
Neurocomputing, 2018

2017
Robust multiobjective evolutionary feature subset selection algorithm for binary classification using machine learning techniques.
Neurocomputing, 2017


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