Yazar "Tek, Faik Boray" için listeleme
-
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 ... -
Forecasting and analysis of energy consumption and waste generation in Antalya with SVR
Özçelik, Şuayb Talha; Tek, Faik Boray; Şekerci, Erdal (IEEE, 2023-12-24)Antalya, a rapidly expanding coastal city in Türkiye, has experienced significant changes due to urbanization and increasing tourism activities. Comprehending tourism trends is crucial for the city's sustainable development ... -
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. ... -
Ground plane detection using and rgb-d camera for quadcopter landing
Kırcalı, Doğan (Işık Üniversitesi, 2013-06-04)The purpose of this study is to build an autonomous quadcopter which is capable of automated detection of landing zones and landing. To ensure this there are important steps linked together. The first step is to build a ... -
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 ... -
Hotel sales forecasting with LSTM and N-BEATS
Özçelik, Şuayb Talha; Tek, Faik Boray; Şekerci, Erdal (IEEE, 2023-09-15)Time series forecasting aims to model the change in data points over time. It is applicable in many areas, such as energy consumption, solid waste generation, economic indicators (inflation, currency), global warming (heat, ... -
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 ... -
Learning filter scale and orientation in convolutional neural networks
Çam, İlker (Işık Üniversitesi, 2019-04-02)Convolutional neural networks have many hyper-parameters such as filter size, number of filters, and pooling size, which require manual tuning. Though deep stacked structures are able to create multi-scale and hierarchical ... -
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 ...