Now showing items 1-20 of 470

    • Early diagnosis of breakdown through transfer learning 

      Özbek, Seren (Bilkent University, 2019-06)
      Breakdown prediction of equipment is an essential task considering the management of resources and maintenance operations. Early diagnosis systems allow creating alerts on time for taking precautions on production. A ...
    • Deep convolutional network for tumor bud detection 

      Koç, Soner (Bilkent University, 2019-04)
      The existence of tumor buds is accepted as a promising biomarker for staging colorectal carcinomas. In the current practice of medicine, these tumor buds are detected by the manual examination of a immunohistochemically ...
    • Matrix factorization with stochastic gradient descent for recommender systems 

      Aktulum, Ömer Faruk (Bilkent University, 2019-02)
      Matrix factorization is an efficient technique used for disclosing latent features of real-world data. It finds its application in areas such as text mining, image analysis, social network and more recently and popularly ...
    • Efficient querying of SBGN maps stored in a graph database 

      Karaca, Mustafa Enes (Bilkent University, 2019-02)
      Graph visualization is an important research area that endeavors to make graphs more understandable and easier to analyze. In various domains, graph visualization techniques and standards are developed to effectively ...
    • Graph embeddings on protein interaction networks 

      Kuru, Halil İbrahim (Bilkent University, 2019-02)
      Protein-protein interaction (PPI) networks represent the possible set of interactions among proteins and thereby the genes that code for them. By integrating isolated signals on single genes such as mutations or differential ...
    • Graph/hypergraph partitioning models for simultaneous load balancing on computation and data 

      Çeliktuğ, Mestan Fırat (Bilkent University, 2019-01)
      In the literature, several successful partitioning models and methods have been proposed and used for computational load balancing of irregularly sparse applications on distributed-memory architectures. However, the ...
    • Automatic determination of navigable areas, pedestrian detection, and augmentation of virtual agents in real crowd videos 

      Doğan, Yalım (Bilkent University, 2018-12)
      Crowd simulations imitate the behavior of crowds and individual agents in the crowd with personality and appearance, which determines the overall model of a multi-agent system. In such studies, the models are often ...
    • Rule based segmentation of colon glands 

      Yücel, Simge (Bilkent University, 2018-09)
      Colon adenocarcinoma, which accounts for more than 90 percent of all colorectal cancers, originates from epithelial cells that form colon glands. Thus, for its diagnosis and grading, it is important to examine the ...
    • Recognition of occupational therapy exercises for cerebral palsy 

      Ongun, Mehmet Faruk (Bilkent University, 2018-09)
      Depth camera-based virtual rehabilitation systems are gaining traction in occupational therapy for approaching patients with cerebral palsy. When developing such a system, a domain speci c exercise recognition method is ...
    • Fog supported wireless sensor networks for forest fire detection 

      Amira, Fouad (Bilkent University, 2018-09)
      Fog computing is a new paradigm that aims to extend the concept of cloud computing to the edge of the network, providing the end users network with extra storage and processing power. One big contribution of Fog computing ...
    • Characterization of large structural variation using linked-reads 

      Karaoğlanoğlu, Fatih (Bilkent University, 2018-09)
      Many algorithms aimed at characterizing genomic structural variation (SV) have been developed since the inception of high-throughput sequencing. However, the full spectrum of SVs in the human genome is not yet assessed. ...
    • A producer-centric caching strategy for named data networking 

      Açacak, Hüseyin (Bilkent University, 2018-09)
      With growing number of users and content on Internet, the existing Internet architecture needs to evolve to be more efficient to find and carry content, and Named Data Networking (NDN) is a new Internet architecture ...
    • Privacy protection for spatial trajectories against brute-force attacks 

      Arslan, Dorukhan (Bilkent University, 2018-08)
      The prevalence of Global Positioning System (GPS) equipped mobile devices and wireless communication technologies have resulted in widespread development of location-based services (LBS). As some typical examples of LBS, ...
    • Quantifying and protecting genomic privacy 

      Mobayenjarihani, Mohammad (Bilkent University, 2018-08)
      Today, genome sequencing is more accessible and affordable than ever. It is also possible for individuals to share their genomic data with service providers or on public websites. Although genomic data has significant ...
    • Deep learning based cell segmentation in histopathological images 

      Doğan, Deniz (Bilkent University, 2018-08)
      In digital pathology, cell imaging systems allow us to comprehend histopathological events at the cellular level. The first step in these systems is generally cell segmentation, which substantially affects the subsequent ...
    • Deepkinzero: zero-shot learning for predicting kinase phosphorylation sites 

      Deznabi, Iman (Bilkent University, 2018-08)
      Protein kinases are a large family of enzymes that catalyze the phosphorylation of other proteins. By acting as molecular switches for protein activity, the phosphorylation events regulate intracellular signal transduction, ...
    • Parallel streaming graph partitioning utilizing multilevel framework 

      Jafari, Nazanin (Bilkent University, 2018-08)
      Graph partitioning is widely used for e cient parallelization of a variety of applications. Streaming graph partitioning is a one pass partitioning solution provided to overcome high computation costs of o ine graph ...
    • Spatio-temporal gene discovery for autism spectrum disorder 

      Norman, Utku (Bilkent University, 2018-08)
      Whole Exome Sequencing (WES) studies for Autism Spectrum Disorder (ASD) could identify only around six dozen risk genes to date, because the genetic architecture of the disorder is highly complex. To speed the gene ...
    • Privacy-preserving computation and robust watermarking techniques for healthcare data 

      Sav, Sinem (Bilkent University, 2018-08)
      Health and genomic data is sensitive in terms of carrying private information about individuals. One can infer inherited/genetic disorders, their occurrence probabilities, information about race, and kinship by analyzing ...
    • Spadis: selecting predictive and diverse SNPS in GWAS 

      Yılmaz, Serhan (Bilkent University, 2018-08)
      Phenotypic heritability of complex traits and diseases is seldom explained by individual genetic variants identi ed in genome-wide association studies (GWAS). Many methods have been developed to select a subset of variant ...