Işık Yazarı "Tek, Faik Boray" MF - Makale Koleksiyonu | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering İçin Listeleme
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Adaptive convolution kernel for artificial neural networks
Tek, Faik Boray; Çam, İlker; Karlı, Deniz (Academic Press Inc., 2021-02)Many deep neural networks are built by using stacked convolutional layers of fixed and single size (often 3 × 3) kernels. This paper describes a method for learning the size of convolutional kernels to provide varying size ... -
An adaptive locally connected neuron model: Focusing neuron
Tek, Faik Boray (Elsevier B.V., 2021-01-02)This paper presents a new artificial neuron model capable of learning its receptive field in the topological domain of inputs. The experiments include tests of focusing neuron networks of one or two hidden layers on synthetic ... -
Assessment of algorithms for mitosis detection in breast cancer histopathology images
Veta, Mitko; Van Diest, Paul J.; Willems, Stefan Martin; Wang, Haibo; Madabhushi, Anant; Cruz-Roa, Angel; Gonzalez, Fabio; Larsen, Anders Boesen Lindbo; Vestergaard, Jacob Schack Chack; Dahl, Anders Bjorholm; Cireşan, Dan Claudiu; Schmidhuber, Jürgen U.; Giusti, Alessandro; Gambardella, Luca M.; Tek, Faik Boray; Walter, Thomas C.; Wang, Chingwei; Kondo, Satoshi; Matuszewski, Bogdan J.; Precioso, Frédéric; Snell, Violet; Kittler, Josef; De Campos, Teofilo E.; Khan, Adnan M.; Rajpoot, Nasir Mahmood; Arkoumani, Evdokia; Lacle, Miangela M.; Viergever, Max A.; Pluim, Josien P W (Elsevier Science BV, 2015-02)The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be one of the most important prognostic markers. ... -
Implicit theories and self-efficacy in an introductory programming course
Tek, Faik Boray; Benli, Kristin Surpuhi; Deveci, Ezgi (Institute of Electrical and Electronics Engineers Inc, 2018-08)Contribution: This paper examined student effort and performance in an introductory programming course with respect to student-held implicit theories and self-efficacy. Background: Implicit theories and self-efficacy help ... -
Mitosis detection using generic features and an ensemble of cascade adaboosts
Tek, Faik Boray (Elsevier, 2013-05-30)Context: Mitosis count is one of the factors that pathologists use to assess the risk of metastasis and survival of the patients, which are affected by the breast cancer. Aims: We investigate an application of a set of ... -
Programlamaya giriş dersini alan öğrencilerin programlama öz yeterlilik algılarının ve programlamaya bakış açılarının incelenmesi
Benli, Kristin Surpuhi; Tek, Faik Boray (Düzce Üniversitesi, 2021-05-29)Bu çalışmada üniversite öğrencilerinin Java programlama öz yeterlilik algıları, programlama öğrenme istekleri ve çalışma alışkanlıkları çeşitli değişkenlere göre (cinsiyet, bölüm, eğitim dili, harf notu, ders tekrarları ... -
Robust localization and identification of African clawed frogs in digital images
Tek, Faik Boray; Cannavo, Flavio; Nunnari, Giuseppe; Kale, İzzet (Elsevier Science BV, 2014-09)We study the automatic localization and identification of African clawed frogs (Xenopus laevis sp.) in digital images taken in a laboratory environment. We propose a novel and stable frog body localization and skin pattern ... -
Uyarlanır yerel bağlı nöron modelinin incelemesi
Tek, Faik Boray (Gazi Üniversitesi Bilişim Enstitüsü, 2019-04-10)Bu çalışmada uyarlanır yerel bağlı (odaklanan) nöron modelinin bir incelemesi sunulmuştur. Öncelikle bu modelin varolan diğer nöron modelleri ile ilişkisi incelenmiştir. Daha sonra modelin ileri beslemede çalışması ve ...