Işık Yazarı "Tek, Faik Boray" Mühendislik Fakültesi / Faculty of 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 ... -
Adaptive visual obstacle detection for mobile robots using monocular camera and ultrasonic sensor
Tek, Faik Boray; İyidir, İbrahim Kamil; Kırcalı, Doğan (Springer-Verlag, 2012-10-07)This paper presents a novel vision based obstacle detection algorithm that is adapted from a powerful background subtraction algorithm: ViBe (VIsual Background Extractor). We describe an adaptive obstacle detection method ... -
Animal sound classification using a convolutional neural network
Şaşmaz, Emre; Tek, Faik Boray (IEEE, 2018-12-06)In this paper, we investigate the problem of animal sound classification using deep learning and propose a system based on convolutional neural network architecture. As the input to the network, sound files were preprocessed ... -
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. ... -
Automated cell nucleus detection for large-volume electron microscopy of neural tissue
Tek, Faik Boray; Kroeger, Thorben; Hamprecht, Fred A.; Mikula, Shawn (IEEE, 2014-04-29)Volumetric electron microscopy techniques, such as serial block-face electron microscopy (SBEM), generate massive amounts of image data that are used for reconstructing neural circuits. Typically, this requires time-intensive ... -
Convolutional attention network for MRI-based Alzheimer's disease classification and its interpretability analysis
Türkan, Yasemin; Tek, Faik Boray (IEEE, 2021-09-17)Neuroimaging techniques, such as Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET), help to identify Alzheimer's disease (AD). These techniques generate large-scale, high-dimensional, multimodal ... -
Etkileşimli öğrenme ile akciğer tomografi hacim taramalarında nodül tespiti
Çam, İlker; Tek, Faik Boray (Institute of Electrical and Electronics Engineers Inc., 2016-06-20)Bu bildiride akciğer BT taramalarında otomatik nodül tespiti yapmak üzere geliştirdigimiz yeni ve özgün bir yöntem sunulmaktadır. Önerdiğimiz yöntem, akciğer organına ve belirli bir nodül tipine bağlı kalmaksızın ... -
Forecasting and analysis of domestic solid waste generation in districts of istanbul with support vector regression
Özçelik, Şuayb Talha; Tek, Faik Boray (Institute of Electrical and Electronics Engineers Inc., 2020-10-12)Waste planning is essential for large and developing cities such as Istanbul. In this report, we perform data analysis on "Waste Amount Based on District, Year and Waste Type"dataset shared by Istanbul Metropolitan ... -
Ground plane detection using an RGB-D sensor
Kırcalı, Doğan; Tek, Faik Boray (Springer, 2014-10-27)Ground plane detection is essential for successful navigation of vision based mobile robots. We introduce a very simple but robust ground plane detection method based on depth information obtained using anRGB-Depth sensor. ... -
A haar classifier based call number detection and counting method for library books
Kanburoğlu, Ali Buğra; Tek, Faik Boray (IEEE, 2018-12-06)Counting and organization of books in libraries is a routine and time-consuming task The task gets more complicated by misplaced books in shelves. In order to solve these problems, we propose an automated visual call number ... -
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 ... -
Malaria parasite detection with deep transfer learning
Var, Esra; Tek, Faik Boray (IEEE, 2018-12-06)This study aims to automatically detect malaria parasites (Plasmodium sp) on images taken from Giemsa stained blood smears. Deep learning methods provide limited performance when sample size is low. In transfer learning, ... -
Microsoft Kinect Sensörü kullanarak zemin düzlemi algılama
Kırcalı, Doğan; Tek, Faik Boray; İyidir, İbrahim Kamil (IEEE, 2013-06-13)Görüntü işleme tabanlı mobil robotların başarılı navigasyonu için zemin düzlemi algılama esastır. Bu bildiride Kinect derinlik sensöründen elde edilen derinlik bilgisine dayalı yeni ve gürbüz bir zemin düzlemi algılama ... -
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 ... -
Odaklanan nöron
Çam, İlker; Tek, Faik Boray (IEEE, 2017-06-27)Geleneksel yapay sinir ağında topoloji eğitim sırasında değişebilecek esnekliğe sahip değildir. Ağda her bir nöron ve bağımsız bağlantı katsayıları çözüm işlevinin bir parçasıdır. Bu bildiride önerdiğimiz odaklanabilir ... -
Programlamaya giriş dersi öğrencilerinin öz yeterlilik algıları ve derse yönelik tutumlarının cinsiyet ve e?itim diline göre incelenmesi
Deveci, Ezgi; Aydın, Damla; Benli, Kristin Surpuhi; Tek, Faik Boray (IEEE, 2017-10-31)Bu araştırmanın amacı F.M.V. Işık Üniversitesi Mühendislik Fakültesinde öğrenim gören öğrencilerin genel öz-yeterlilik algılarının ve Programlamaya Giriş(CSE101) dersine yönelik tutumlarının; cinsiyet ve eğitim aldıkları ... -
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 ... -
Texture recognition for frog identification
Tek, Faik Boray; Cannavo, Flavio; Nunnari, Giuseppe; Kale, İzzet (ACM SIGMM, 2012-11-02)This paper describes a visual processing technique for automatic frog (Xenopus Laevis sp.) localization and identification. The problem of frog identification is to process and classify an unknown frog image to determine ...