| 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 | 142 | 2012 |
| Deployment and communication patterns in microservice architectures: A systematic literature review IK Aksakalli, T Çelik, AB Can, B Tekinerdoğan Journal of Systems and Software 180, 111014, 2021 | 112 | 2021 |
| A plant recognition approach using shape and color features in leaf images A Caglayan, O Guclu, AB Can Image Analysis and Processing–ICIAP 2013: 17th International Conference …, 2013 | 112 | 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 | 60 | 2015 |
| Andmfc: Android malware family classification framework S Türker, AB Can 2019 IEEE 30th International Symposium on Personal, Indoor and Mobile Radio …, 2019 | 50 | 2019 |
| GenTrust: A genetic trust management model for peer-to-peer systems UE Tahta, S Sen, AB Can Applied Soft Computing 34, 693-704, 2015 | 50 | 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 | 44 | 2012 |
| Fast and effective loop closure detection to improve SLAM performance O Guclu, AB Can Journal of Intelligent & Robotic Systems 93, 495-517, 2019 | 40 | 2019 |
| 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 | 32 | 2018 |
| Volumetric object recognition using 3-D CNNs on depth data A Caglayan, AB Can IEEE Access 6, 20058-20066, 2018 | 31 | 2018 |
| 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 | 28 | 2022 |
| Combining 2D and 3D deep models for action recognition with depth information AS Keceli, A Kaya, AB Can Signal, Image and Video Processing 12, 1197-1205, 2018 | 28 | 2018 |
| Systematic approach for generation of feasible deployment alternatives for microservices IK Aksakalli, T Celik, AB Can, B Tekinerdogan IEEE Access 9, 29505-29529, 2021 | 25 | 2021 |
| Examination of various classification strategies in classification of lung nodule characteristics A Kaya, ALİ KEÇELİ, A CAN Journal of the Faculty of Engineering and Architecture of Gazi University 34 (2), 2019 | 24 | 2019 |
| 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 | 22 | 2020 |
| A comparison of feature detectors and descriptors in rgb-d slam methods O Guclu, AB Can Image Analysis and Recognition: 12th International Conference, ICIAR 2015 …, 2015 | 20 | 2015 |
| Recognition of basic human actions using depth information AS Keceli, AB Can International Journal of Pattern Recognition and Artificial Intelligence 28 …, 2014 | 19 | 2014 |
| 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 | 17 | 2019 |
| Adnet: Temporal anomaly detection in surveillance videos HI Öztürk, AB Can Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 16 | 2021 |
| 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 | 16 | 2019 |
