Koray Açıcı
Koray Açıcı
Ankara Üniversitesi Yapay Zeka ve Veri Mühendisliği Bölümü'nde Dr. Öğr. Üyesi
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Integrating features for accelerometer-based activity recognition
ÇB Erdaş, I Atasoy, K Açıcı, H Oğul
Procedia Computer Science 98, 522-527, 2016
Parkinson's disease monitoring from gait analysis via foot-worn sensors
T Aşuroğlu, K Açıcı, ÇB Erdaş, MK Toprak, H Erdem, H Oğul
Biocybernetics and Biomedical Engineering 38 (3), 760-772, 2018
A random forest method to detect Parkinson’s disease via gait analysis
K Açıcı, ÇB Erdaş, T Aşuroğlu, MK Toprak, H Erdem, H Oğul
Engineering Applications of Neural Networks: 18th International Conference …, 2017
Femoral neck fracture detection in X-ray images using deep learning and genetic algorithm approaches
S Beyaz, K Açıcı, E Sümer
Joint diseases and related surgery 31 (2), 175, 2020
HANDY: A benchmark dataset for context-awareness via wrist-worn motion sensors
K Açıcı, ÇB Erdaş, T Aşuroğlu, H Oğul
Data 3 (3), 24, 2018
Comparison of different machine learning approaches to detect femoral neck fractures in x-ray images
K Açıcı, E Sümer, S Beyaz
Health and Technology 11 (3), 643-653, 2021
T4SS effector protein prediction with deep learning
K Açıcı, T Aşuroğlu, ÇB Erdaş, H Oğul
Data 4 (1), 45, 2019
Retrieving relevant experiments: The case of microRNA microarrays
K Açıcı, YK Terzi, H Oğul
Biosystems 134, 71-78, 2015
Deep-Learning-Based Approaches for Semantic Segmentation of Natural Scene Images: A Review
B Emek Soylu, MS Guzel, GE Bostanci, F Ekinci, T Asuroglu, K Acici
Electronics 12 (12), 2730, 2023
Texture of activities: exploiting local binary patterns for accelerometer data analysis
T Aşuroğlu, K Açici, ÇB Erdaş, H Oğul
2016 12th International Conference on Signal-Image Technology & Internet …, 2016
Deep learning in diagnosis of dental anomalies and diseases: A systematic review
E Sivari, GB Senirkentli, E Bostanci, MS Guzel, K Acici, T Asuroglu
Diagnostics 13 (15), 2512, 2023
Machine learning analysis of RNA-seq data for diagnostic and prognostic prediction of colon cancer
E Bostanci, E Kocak, M Unal, MS Guzel, K Acici, T Asuroglu
Sensors 23 (6), 3080, 2023
A New Approach for Gastrointestinal Tract Findings Detection and Classification: Deep Learning-Based Hybrid Stacking Ensemble Models
E Sivari, E Bostanci, MS Guzel, K Acici, T Asuroglu, T Ercelebi Ayyildiz
Diagnostics 13 (4), 720, 2023
Interpretation of Magnetic Resonance Images of Temporomandibular Joint Disorders by Using Deep Learning
S Ozsari, FR Yapıcıoğlu, D Yılmaz, K Kamburoglu, MS Guzel, GE Bostanci, ...
IEEE Access, 2023
Crohn’s Disease Prediction Using Sequence Based Machine Learning Analysis of Human Microbiome
M Unal, E Bostanci, C Ozkul, K Acici, T Asuroglu, MS Guzel
Diagnostics 13 (17), 2835, 2023
Multilabel Genre Prediction Using Deep-Learning Frameworks
FZ Unal, MS Guzel, E Bostanci, K Acici, T Asuroglu
Applied Sciences 13 (15), 8665, 2023
Machine learning based orthodontic treatment planning for mixed dentition borderline cases suffering from moderate to severe crowding: An experimental research study
GB Senirkentli, S İnce Bingöl, M Ünal, E Bostanci, MS Güzel, K Açici
Technology and Health Care, 1-13, 2023
Information retrieval in metal music sub-genres
K Açıcı, T Aşuroğlu, H Oğul
2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017
Comparison of similarity metrics in microarray experiment retrieval
K Açıcı, H Oğul
2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015
Sensitive prediction of bacterial type IV effectors
K Açıcı, DD Şener, H Oğul
2014 18th National Biomedical Engineering Meeting, 1-5, 2014
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