Performance analysis of spatial and frequency domain filtering in high resolution images. - Tunç Asuroglu; Emre Sümer (SIU, 2015)

Texture of Activities: Exploiting Local Binary Patterns for Accelerometer Data Analysis. - Tunç Asuroglu; Koray Açici; Çagatay Berke Erdas; Hasan Ogul (SITIS, 2016)

A Random Forest Method to Detect Parkinson's Disease via Gait Analysis. - Koray Açici; Çagatay Berke Erdas; Tunç Asuroglu; Münire Kilinç Toprak; Hamit Erdem; Hasan Ogul (EANN, 2017)

Information retrieval in metal music sub-genres. - Koray Açici; Tunç Asuroglu; Hasan Ogul (SIU, 2017)

HANDY: A Benchmark Dataset for Context-Awareness via Wrist-Worn Motion Sensors. - Koray Açici; Çagatay Berke Erdas; Tunç Asuroglu; Hasan Ogul (Data, 2018)

On Computer-Aided Prognosis of Septic Shock from Vital Signs. - Hasan Ogul; Alejandro Baldominos; Tunç Asuroglu; Ricardo Colomo-Palacios (CBMS, 2019)

T4SS Effector Protein Prediction with Deep Learning. - Koray Açici; Tunç Asuroglu; Çagatay Berke Erdas; Hasan Ogul (Data, 2019)

Predicting Infections Using Computational Intelligence - A Systematic Review. - Alejandro Baldominos; Adráan Puello; Hasan Ogul; Tunç Asuroglu; Ricardo Colomo-Palacios (IEEE Access, 2020)

Giyilebilir sensörlerle sağlık izleme (Health monitoring via wearable sensors) - Tunç Asuroglu (2020)

A deep learning approach for sepsis monitoring via severity score estimation. - Tunç Asuroglu; Hasan Ogul (Comput. Methods Programs Biomed., 2021)

Complex Human Activity Recognition Using a Local Weighted Approach. - Tunç Asuroglu (IEEE Access, 2022)

Reversible Logic-Based Hexel Value Differencing - A Spatial Domain Steganography Method for Hexagonal Image Processing. - Taner Çevik; Nazife Cevik; Jawad Rasheed; Tunç Asuroglu; Shtwai Alsubai; Mehmet Turan (IEEE Access, 2023)

Interpretation of Magnetic Resonance Images of Temporomandibular Joint Disorders by Using Deep Learning. - Sifa Özsari; Fatima Rabia Yapicioglu; Dilek Yilmaz; Kivanç Kamburoglu; Mehmet Serdar Güzel; Gazi Erkan Bostanci; Koray Açici; Tunç Asuroglu (IEEE Access, 2023)

Machine Learning Analysis of RNA-seq Data for Diagnostic and Prognostic Prediction of Colon Cancer. - Erkan Bostanci; Engin Kocak; Metehan Unal; Mehmet Serdar Güzel; Koray Açici; Tunç Asuroglu (Sensors, 2023)

Mortality Prediction of Various Cancer Patients via Relevant Feature Analysis and Machine Learning. - Caner Bozkurt; Tunç Asuroglu (SN Comput. Sci., 2023)

Using Machine Learning Methods to Predict the Lactate Trend of Sepsis Patients in the ICU. - Mustafa Kemal Arslantas; Tunç Asuroglu; Reyhan Arslantas; Emin Pashazade; Pelin Corman Dincer; Gulbin Tore Altun; Alper Kararmaz (NCDHWS (2), 2024)

Assessment of Parkinson's Disease Severity Using Gait Data: A Deep Learning-Based Multimodal Approach. - Nabid Faiem; Tunç Asuroglu; Koray Açici; Antti Kallonen; Mark J. van Gils (NCDHWS (2), 2024)

A Novel Diversity Guided Galactic Swarm Optimization With Feedback Mechanism. - Oguzhan Uymaz; Bahaeddin Turkoglu; Ersin Kaya; Tunç Asuroglu (IEEE Access, 2024)

Cloud type classification using deep learning with cloud images. - Mehmet Serdar Güzel; Mürüvvet Kalkan; Erkan Bostanci; Koray Açici; Tunç Asuroglu (PeerJ Comput. Sci., 2024)

Optimizing Artificial Neural Networks Using Mountain Gazelle Optimizer. - Muhammed Abdulhamid Karabiyik; Bahaeddin Turkoglu; Tunç Asuroglu (IEEE Access, 2025)

Bridging Reality and Synthetics: Optimizing Image Classification with Hybrid AI-Generated and Real-World Datasets. - Abdallah Tariq Hasan Alabed; Jawad Rasheed; Mirsat Yesiltepe; Shtwai Alsubai; Tunç Asuroglu (SN Comput. Sci., 2025)

Federated transfer learning for distributed drought stage prediction. - Muhammad Owais Raza; Aqsa Umar; Jawad Rasheed; Tunç Asuroglu; Shtwai Alsubai (Discov. Artif. Intell., 2025)