Ahmet Burak Can
Ahmet Burak Can
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Sort: A self-organizing trust model for peer-to-peer systems
AB Can, B Bhargava
IEEE transactions on dependable and secure computing 10 (1), 14-27, 2012
A plant recognition approach using shape and color features in leaf images
A Caglayan, O Guclu, AB Can
International Conference on Image Analysis and Processing, 161-170, 2013
A weighted rule based method for predicting malignancy of pulmonary nodules by nodule characteristics
A Kaya, AB Can
Journal of biomedical informatics 56, 69-79, 2015
GenTrust: A genetic trust management model for peer-to-peer systems
UE Tahta, S Sen, AB Can
Applied Soft Computing 34, 693-704, 2015
A computer program (TSecSoft) to determine mineral percentages using photographs obtained from thin sections
N Yesiloglu-Gultekin, AS Keceli, EA Sezer, AB Can, C Gokceoglu, ...
Computers & geosciences 46, 310-316, 2012
Andmfc: Android malware family classification framework
S Türker, AB Can
2019 IEEE 30th International Symposium on Personal, Indoor and Mobile Radio …, 2019
Combining 2D and 3D deep models for action recognition with depth information
AS Keceli, A Kaya, AB Can
Signal, Image and Video Processing 12 (6), 1197-1205, 2018
Fast and effective loop closure detection to improve slam performance
O Guclu, AB Can
Journal of Intelligent & Robotic Systems 93 (3), 495-517, 2019
Volumetric object recognition using 3-D CNNs on depth data
A Caglayan, AB Can
IEEE Access 6, 20058-20066, 2018
Recognition of basic human actions using depth information
AS Keceli, AB Can
International Journal of Pattern Recognition and Artificial Intelligence 28 …, 2014
Examination of various classification strategies in classification of lung nodule characteristics
A Kaya, AS Keceli, AB Can
A comparison of feature detectors and descriptors in rgb-d slam methods
O Guclu, AB Can
International Conference Image Analysis and Recognition, 297-305, 2015
Deployment and communication patterns in microservice architectures: A systematic literature review
IK Aksakalli, T Çelik, AB Can, B Teki̇nerdoğan
Journal of Systems and Software 180, 111014, 2021
Integrating global and local image features for enhanced loop closure detection in RGB-D SLAM systems
O Guclu, AB Can
The Visual Computer 36 (6), 1271-1290, 2020
Exploiting multi-layer features using a CNN-RNN approach for RGB-D object recognition
A Caglayan, A Burak Can
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
Automatic Object Segmentation on RGB-D Data using Surface Normals and Region Similarity.
HY Yalic, AB Can
VISIGRAPP (4: VISAPP), 379-386, 2018
k-SLAM: A fast RGB-D SLAM approach for large indoor environments
O Guclu, AB Can
Computer Vision and Image Understanding 184, 31-44, 2019
When CNNs meet random RNNs: Towards multi-level analysis for RGB-D object and scene recognition
A Caglayan, N Imamoglu, AB Can, R Nakamura
Computer Vision and Image Understanding 217, 103373, 2022
Distance based training for cross-modality person re-identification
N Tekeli, A Burak Can
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Akciğer nodül özelliklerinin tahmininde çeşitli sınıflama stratejilerinin incelenmesi
K Aydın, AS Keçeli, AB Can
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 34 (2), 709-726, 2018
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