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  2. Dhifallah, S., Rekik, I. (2020).Estimation of connectional brain templates using selective multi-view network normalization. Medical Image Analysis,59 [abstract]

  3. Kavur, A.E., Gezer, N.S., Barış, M. and 10 more (...) (2020).Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors. Diagnostic and Interventional Radiology,26(1) 11-21 [abstract]

  4. Clough, J., Byrne, N., Oksuz, I. and 3 more (...) (2020).A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology. IEEE Transactions on Pattern Analysis and Machine Intelligence, [abstract]

  5. Ayata, D., Yaslan, Y., Kamasak, M.E. (2020).Emotion Recognition from Multimodal Physiological Signals for Emotion Aware Healthcare Systems. Journal of Medical and Biological Engineering,40(2) 149-157 [abstract]

  6. Mhiri, I., Rekik, I. (2020).Joint functional brain network atlas estimation and feature selection for neurological disorder diagnosis with application to autism. Medical Image Analysis,60 [abstract]

  7. Nebli, A., Rekik, I. (2020).Gender differences in cortical morphological networks. Brain Imaging and Behavior,14(5) 1831-1839 [abstract]

  8. Chen, G., Li, Q., Shi, F. and 2 more (...) (2020).RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields. NeuroImage,211 [abstract]

  9. Fuin, N., Bustin, A., Küstner, T. and 6 more (...) (2020).A multi-scale variational neural network for accelerating motion-compensated whole-heart 3D coronary MR angiography. Magnetic Resonance Imaging,70155-167 [abstract]

  10. Bilgen, I., Guvercin, G., Rekik, I. (2020).Machine learning methods for brain network classification: Application to autism diagnosis using cortical morphological networks. Journal of Neuroscience Methods,343 [abstract]

  11. Rad, M.S., Bozorgtabar, B., Musat, C. and 4 more (...) (2020).Benefiting from multitask learning to improve single image super-resolution. Neurocomputing,398304-313 [abstract]

  12. Bozkaya, E., Canberk, B. (2020).SDN-enabled deployment and path planning of aerial base stations. Computer Networks,171 [abstract]

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  14. Ay, F., Ince, G., Kamaşak, M.E. and 1 more (...) (2020).Classification of pulsars with Dirichlet process Gaussian mixture model. Monthly Notices of the Royal Astronomical Society,493(1) 713-722 [abstract]

  15. Albayati, J.S.H., Üstündağ, B.B. (2020).Evolutionary feature optimization for plant leaf disease detection by deep neural networks. International Journal of Computational Intelligence Systems,13(1) 12-23 [abstract]

  16. Dryburgh, E., McKenna, S., Rekik, I. (2020).Predicting full-scale and verbal intelligence scores from functional Connectomic data in individuals with autism Spectrum disorder. Brain Imaging and Behavior,14(5) 1769-1778 [abstract]

  17. Al-Bayati, J.S.H., Üstündag, B.B. (2020).Fused and modified evolutionary optimization of multiple intelligent systems using ANN, SVM approaches. Computers, Materials and Continua,66(2) 1479-1496 [abstract]

  18. Georges, N., Mhiri, I., Rekik, I. (2020).Identifying the best data-driven feature selection method for boosting reproducibility in classification tasks. Pattern Recognition,101 [abstract]

  19. Duan, D., Xia, S., Rekik, I. and 6 more (...) (2020).Individual identification and individual variability analysis based on cortical folding features in developing infant singletons and twins. Human Brain Mapping,41(8) 1985-2003 [abstract]

  20. Ustundag, B.B., Kulaglic, A. (2020).High-Performance Time Series Prediction with Predictive Error Compensated Wavelet Neural Networks. IEEE Access,8210532-210541 [abstract]

  21. Benkarim, O., Piella, G., Rekik, I. and 6 more (...) (2020).A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly. Medical Image Analysis,64 [abstract]

  22. Özçevik, Y., Canberk, B. (2020).Energy aware endurance framework for mission critical aerial networks. Ad Hoc Networks,96 [abstract]

  23. Oral, B., Emekligil, E., Arslan, S. and 1 more (...) (2020).Information Extraction from Text Intensive and Visually Rich Banking Documents. Information Processing and Management,57(6) [abstract]

  24. Bozkaya, E., Foerster, K.-T., Schmid, S. and 1 more (...) (2020).AirNet: Energy-Aware Deployment and Scheduling of Aerial Networks. IEEE Transactions on Vehicular Technology,69(10) 12252-12263 [abstract]

  25. Oksuz, I., Clough, J.R., Ruijsink, B. and 6 more (...) (2020).Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction for High-Quality Segmentation. IEEE Transactions on Medical Imaging,39(12) 4001-4010 [abstract]

  26. Gürpınar, C., Uluer, P., Akalın, N. and 1 more (...) (2020).Sign Recognition System for an Assistive Robot Sign Tutor for Children. International Journal of Social Robotics,12(2) 355-369 [abstract]

  27. Kasimoglu, Y., Kocaaydin, S., Karsli, E. and 4 more (...) (2020).Robotic approach to the reduction of dental anxiety in children. Acta Odontologica Scandinavica,78(6) 474-480 [abstract]

  28. Eryiğit, G., Eryiğit, C., Karabüklü, S. and 5 more (...) (2020).Building the first comprehensive machine-readable Turkish sign language resource: methods, challenges and solutions. Language Resources and Evaluation,54(1) 97-121 [abstract]

  29. Basaran, E., Gökmen, M., Kamasak, M.E. (2020).An efficient framework for visible–infrared cross modality person re-identification. Signal Processing: Image Communication,87 [abstract]

  30. Aktas, A., Ustundag, B.B. (2020).Soil Moisture Monitoring of the Plant Root Zone by Using Phenology as Context in Remote Sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,136051-6063 [abstract]

  31. Bnouni, N., Rekik, I., Rhim, M.S. and 1 more (...) (2020).Computer-aided lymph node detection using pelvic magnetic resonance imaging. International Journal of Computing and Digital Systems,9(1) 23-35 [abstract]

  32. Sandıkkaya, M.T., Yaslan, Y., Özdemir, C.D. (2020).DeMETER in clouds: detection of malicious external thread execution in runtime with machine learning in PaaS clouds. Cluster Computing,23(4) 2565-2578 [abstract]

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  34. Vanli, Ö., Ahmad, I., Ustundag, B.B. (2020).Area Estimation and Yield Forecasting of Wheat in Southeastern Turkey Using a Machine Learning Approach. Journal of the Indian Society of Remote Sensing,48(12) 1757-1766 [abstract]

  35. Akdoğan, F., Altan, D., Peker, E. and 2 more (...) (2020).Optimization of real-world outdoor campaign allocations. Turkish Journal of Electrical Engineering and Computer Sciences,28(3) 1276-1292 [abstract]

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  37. Karakus, E., Kose, H. (2020).Conditional restricted Boltzmann machine as a generative model for body-worn sensor signals. IET Signal Processing,14(10) 725-736 [abstract]

  38. Ozkul, A., Kose, H., Yorganci, R. and 1 more (...) (2020).A drumming based multimodal mobile game interface. International Journal of Intelligent Systems and Applications in Engineering,8(1) 6-10 [abstract]

  39. Sohsah, G.N., Ibrahimzada, A.R., Ayaz, H. and 1 more (...) (2020).Scalable classification of organisms into a taxonomy using hierarchical supervised learners. Journal of Bioinformatics and Computational Biology,18(5) [abstract]

  40. Yaslan, Y., Gunsel, B. (2020).A context-aware mobile application framework using audio watermarking. Multimedia Systems,26(3) 323-337 [abstract]

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  31. Koc, C., Sariel, S. (2020).Next Best View Planning in Table-top Scenarios. 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings, [abstract]

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  1. Tosun, A., McIntosh, S., Minku, L. and 1 more (...) (2020).Guest Editorial: Special Issue on Predictive Models and Data Analytics in Software Engineering. Empirical Software Engineering,25(2) 1533-1535 [abstract]

  2. Di, L., Ustundag, B.B., Guo, L. and 2 more (...) (2020).Foreword to the Special Issue on Digital Innovations in Agriculture Research and Applications. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,136519-6523 [abstract]

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  5. Bilen, T., Canberk, B. (2020).Overcoming 5G ultra-density with game theory: Alpha-beta pruning aided conflict detection. Pervasive and Mobile Computing,63 [abstract]


 

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