Tolga Ensarı Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Assistant Professor

Arkansas Tech University

faculty

12 h-index 69 pubs 1,162 cited

Research Areas

Advanced Neural Network Applications Bioinformatics and Genomic Networks Machine Learning Techniques Genomics and Phylogenetic Studies Cancer Genomics and Diagnostics SARS-CoV-2 and COVID-19 Research Natural Language Processing Techniques Medical Imaging Techniques and Applications

Links

ORCID Research Group

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OverviewAI-generated summary

Tolga Ensarı's research focuses on the application of machine learning and deep learning techniques to diverse problem domains. His work includes developing genetic algorithm-based feature selection for gene expression data classification and applying machine learning methods to breast cancer data. Ensarı has also investigated object detection systems using deep learning for user interface code generation. His research extends to areas such as violence detection with a sociodemographic approach and estimating microRNA targets through machine learning-based microarray techniques. Additionally, he has explored encoder-decoder LSTM architectures and PCA properties for molecule generation to inhibit COVID-19 disease and semantic-based image retrieval supported by ontologies. Ensarı's scholarly contributions are reflected in his h-index of 12, with over 1,100 citations across 69 publications. He has collaborated with researchers from Arkansas Tech University, including Musfikur Rahaman, Indira Kalyan Dutta, Robin Ghosh, and Betul Ensarı.

Metrics

h-index: 12
Publications: 69
Citations: 1,162

Selected Publications

Spiking Neural Networks for ECG Classification and Anomaly Detection (2025) DOI
Tıbbi Görüntü Bölütleme için MMIAU-Net Mimarisi Önerisi (2025) DOI
Hedef Gen Çıkarımı İçin Makine Öğrenmesi Tabanlı Mikrodizi Verilerinin Analizı (2024) DOI
Ontology supported semantic based image retrieval (2024) DOI
Introduction to the special section “Advances trends of pattern recognition for intelligent systems applications” (SS:ISPR23) (2024) DOI
Ontology Supported Semantic Based Image Retrieval (2023) DOI
Enhancing the Programming Sequence for Undergraduate Computer Science Students: A Program for Improving Learning Outcomes (2023) DOI
Violence Detection with Machine Learning: A Sociodemographic Approach (2023) DOI
Makine Öğrenmesi Tabanlı Mikrodizi Tekniği ile MikroRNA Hedef Tahmini: Araştırma Çalışması (2022) DOI
Makine Öğrenimi ile Uzun Kuyruk Ürünler için İyileştirilmiş Sonraki Öğe Önerisi (2022)
MOLECULES GENERATION TO INHIBIT COVID-19 DISEASE USING ENCODER-DECODER LSTM ARCHITECTURE AND PCA PROPERTIES (2022) DOI
Makine Öğrenimi ile Uzun Kuyruk Ürünler için İyileştirilmiş Sonraki Öğe Önerisi (2022) DOI
A Deep Learning Based Object Detection System for User Interface Code Generation (2022) DOI
Göğüs Kanseri Verileri Üzerinde Makine Öğrenmesi Yöntemlerinin Uygulanması (2022) DOI
Semantic Based Image Retrieval-A Survey (2021)