Tunç Asuroglu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 17

Top Topics

Local Binary Pattern

High Resolution Images

Activity Recognition

Top Venues

Publications

Mustafa Kemal Arslantas, Tunç Asuroglu, Reyhan Arslantas, Emin Pashazade, Pelin Corman Dincer, Gulbin Tore Altun, Alper Kararmaz
Using Machine Learning Methods to Predict the Lactate Trend of Sepsis Patients in the ICU. NCDHWS (2) (2024)
Oguzhan Uymaz, Bahaeddin Turkoglu, Ersin Kaya, Tunç Asuroglu
A Novel Diversity Guided Galactic Swarm Optimization With Feedback Mechanism. IEEE Access 12 (2024)
Nabid Faiem, Tunç Asuroglu, Koray Açici, Antti Kallonen, Mark J. van Gils
Assessment of Parkinson's Disease Severity Using Gait Data: A Deep Learning-Based Multimodal Approach. NCDHWS (2) (2024)
Mehmet Serdar Güzel, Mürüvvet Kalkan, Erkan Bostanci, Koray Açici, Tunç Asuroglu
Cloud type classification using deep learning with cloud images. PeerJ Comput. Sci. 10 (2024)
Erkan Bostanci, Engin Kocak, Metehan Unal, Mehmet Serdar Güzel, Koray Açici, Tunç Asuroglu
Machine Learning Analysis of RNA-seq Data for Diagnostic and Prognostic Prediction of Colon Cancer. Sensors 23 (6) (2023)
Taner Çevik, Nazife Cevik, Jawad Rasheed, Tunç Asuroglu, Shtwai Alsubai, Mehmet Turan
Reversible Logic-Based Hexel Value Differencing - A Spatial Domain Steganography Method for Hexagonal Image Processing. IEEE Access 11 (2023)
Caner Bozkurt, Tunç Asuroglu
Mortality Prediction of Various Cancer Patients via Relevant Feature Analysis and Machine Learning. SN Comput. Sci. 4 (3) (2023)
Sifa Özsari, Fatima Rabia Yapicioglu, Dilek Yilmaz, Kivanç Kamburoglu, Mehmet Serdar Güzel, Gazi Erkan Bostanci, Koray Açici, Tunç Asuroglu
Interpretation of Magnetic Resonance Images of Temporomandibular Joint Disorders by Using Deep Learning. IEEE Access 11 (2023)
Tunç Asuroglu
Complex Human Activity Recognition Using a Local Weighted Approach. IEEE Access 10 (2022)
Tunç Asuroglu, Hasan Ogul
A deep learning approach for sepsis monitoring via severity score estimation. Comput. Methods Programs Biomed. 198 (2021)
Alejandro Baldominos, Adráan Puello, Hasan Ogul, Tunç Asuroglu, Ricardo Colomo Palacios
Predicting Infections Using Computational Intelligence - A Systematic Review. IEEE Access 8 (2020)
Hasan Ogul, Alejandro Baldominos, Tunç Asuroglu, Ricardo Colomo Palacios
On Computer-Aided Prognosis of Septic Shock from Vital Signs. CBMS (2019)
Koray Açici, Tunç Asuroglu, Çagatay Berke Erdas, Hasan Ogul
T4SS Effector Protein Prediction with Deep Learning. Data 4 (1) (2019)
Koray Açici, Çagatay Berke Erdas, Tunç Asuroglu, Hasan Ogul
HANDY: A Benchmark Dataset for Context-Awareness via Wrist-Worn Motion Sensors. Data 3 (3) (2018)
Koray Açici, Çagatay Berke Erdas, Tunç Asuroglu, Münire Kilinç Toprak, Hamit Erdem, Hasan Ogul
A Random Forest Method to Detect Parkinson's Disease via Gait Analysis. EANN (2017)
Koray Açici, Tunç Asuroglu, Hasan Ogul
Information retrieval in metal music sub-genres. SIU (2017)
Tunç Asuroglu, Koray Açici, Çagatay Berke Erdas, Hasan Ogul
Texture of Activities: Exploiting Local Binary Patterns for Accelerometer Data Analysis. SITIS (2016)
Tunç Asuroglu, Emre Sümer
Performance analysis of spatial and frequency domain filtering in high resolution images. SIU (2015)