Künye MF - Makale Koleksiyonu | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering için listeleme

Toplam kayıt 68, listelenen: 41-60

      Künye Göre
      Tek, F. B. (2013). Mitosis detection using generic features and an ensemble of cascade adaboosts. Journal of Pathology Informatics, 4(1), 1-6. doi:10.4103/2153-3539.112697 [1]
      Tek, F. B. (2019). Uyarlanır Yerel Bağlı Nöron Modelinin İncelemesi. Bilişim Teknolojileri Dergisi, 12(4), 307-317. doi:10.17671/gazibtd.569827 [1]
      Tek, F. B. (2021). An adaptive locally connected neuron model: Focusing neuron. Neurocomputing, 419, 306-321. doi:10.1016/j.neucom.2020.08.008 [1]
      Tek, F. B., Benli, K. S. & Deveci, E. (2018). Implicit theories and self-efficacy in an introductory programming course. IEEE Transactions on Education, 61(3), 218-225. doi:10.1109/TE.2017.2789183 [1]
      Tek, F. B., Cannavo, F., Nunnari, G. & Kale, İ. (2014). Robust localization and identification of african clawed frogs in digital images. Ecological Informatics, 23, 3-12. doi:10.1016/j.ecoinf.2013.09.005 [1]
      Tek, F. B., Çam, İ. & Karlı, D. (2021). Adaptive convolution kernel for artificial neural networks. Journal of Visual Communication and Image Representation, 75, 1-11.doi:10.1016/j.jvcir.2020.103015 [1]
      Tuna, Ö. F., Çatak, F. Ö. & Eskil, M. T. (2022). Closeness and uncertainty aware adversarial examples detection in adversarial machine learning. Computers and Electrical Engineering, 101, 1-12. doi:10.1016/j.compeleceng.2022.107986 [1]
      Tuna, Ö. F., Çatak, F. Ö. & Eskil, M. T. (2022). Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples. Multimedia Tools and Applications, 81(8) 11479-11500. doi:10.1007/s11042-022-12132-7 [1]
      Tuna, Ö. F., Çatak, F. Ö. & Eskil, M. T. (2022). Uncertainty as a Swiss army knife: new adversarial attack and defense ideas based on epistemic uncertainty. Complex & Intelligent System, 1-19. doi:10.1007/s40747-022-00701-0 [1]
      Tunga, M. A. & Demiralp, M. (2006). Hybrid high dimensional model representation (HHDMR) on the partitioned data. Journal of Computational and Applied Mathematics, 185(1), 107-132. doi:10.1016/j.cam.2005.01.030 [1]
      Tunga, M. A., & Demiralp, M. (2005). A factorized high dimensional model representation on the nodes of a finite hyperprismatic regular grid. Applied Mathematics and Computation, 164(3), 865-883. doi:10.1016/j.amc.2004.06.056 [1]
      Ulaş, A. & Yıldız, O. T. & Alpaydın, A. İ. E. (2012). Eigenclassifiers for combining correlated classifiers. Information Sciences, 187(1), 109-120. doi:10.1016/j.ins.2011.10.024 [1]
      Ulaş, A., Semerci, M., Yıldız, O. T. & Alpaydın, E. (2009). Incremental construction of classifier and discriminant ensembles. Information Sciences, 179(9), 1298-1318. doi:10.1016/j.ins.2008.12.024 [1]
      Ulaş, A., Yıldz, O. T. & Alpaydın, A. İ. E. (2012). Cost-conscious comparison of supervised learning algorithms over multiple data sets. Pattern Recognition, 45(4), 1772-1781. doi:10.1016/j.patcog.2011.10.005 [1]
      Var, E. & İnan, A. (2018). Differentially private attribute selection for classification. Journal of the Faculty of Engineering and Architecture of Gazi University, 33(1), 323-336. doi:10.17341/gazimmfd.406804 [1]
      Veta, M., van Diest, P. J., Willems, S. M., Wang, H., Madabhushi, A., Cruz-Roa, A., . . . Pluim, J. P. W. (2015). Assessment of algorithms for mitosis detection in breast cancer histopathology images. Medical Image Analysis, 20(1), 237-248. doi:10.1016/j.media.2014.11.010 [1]
      Yakhno, T. & Ekin, E. (2011). Student conference as a student centred environment for integrating technical writings into computer engineering curriculum. Eğitim Araştırmaları-Eurasian Journal Of Educational Research, 11(42), 259-272. [1]
      Yelmenoğlu, E. D., Çelebi, N. & Taşçı, T. (2017). A novel hybrid edge detection technique: ABC-FA. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 1, 193-200. [1]
      Yıldız, O. T. & Dikmen, O. (2007). Parallel univariate decision trees. Pattern Recognition Letters, 28(7), 825-832. doi:10.1016/j.patrec.2006.11.009 [1]
      Yıldız, O. T. (2011). Mapping classifiers and datasets. Expert Systems with Applications, 38(4), 3697-3702. doi:10.1016/j.eswa.2010.09.027 [1]