Theses - Department of Computer Engineering
Faculty of Engineering
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Semantic validation of biological maps in SBGN
(Bilkent University, 2019-09)Graph visualization is a research field where relational information is graphically represented in the form of graphs or networks. It is applicable in numerous areas from computer network systems, to biology, to software ... -
Coloring for distributed-memory-parallel Gauss-Seidel algorithm
(Bilkent University, 2019-09)Gauss-Seidel is a well-known iterative method for solving linear system of equations. The computations performed on Gauss-Seidel sweeps are sequential in nature since each component of new iterations depends on previously ... -
Learning efficient visual embedding models under data constraints
(Bilkent University, 2019-09)Deep learning models require large-scale datasets to learn rich sets of low and mid-level patterns and high-level semantics. Therefore, given a high-capacity neural network, one way to improve the performance of a model ... -
Partitioning models for scaling distributed graph computations
(Bilkent University, 2019-09)The focus of this thesis is intelligent partitioning models and methods for scaling the performance of parallel graph computations on distributed-memory systems. Distributed databases utilize graph partitioning to provide ... -
Conversational agent expressing ocean personality and emotions using laban movement analysis and nonverbal communication cues
(Bilkent University, 2019-08)Conversational human characters are heavily used in computer animation to convey various messages. Appearance, movement and voice of such characters in uence their perceived personality. Analyzing different channels of ... -
Fast and efficient model parallelism for deep convolutional neural networks
(Bilkent University, 2019-08)Convolutional Neural Networks (CNNs) have become very popular and successful in recent years. Increasing the depth and number of parameters of CNNs has crucial importance on this success. However, it is hard to t deep ... -
Analyzing the effect of kinship for re-identification attacks in genomic data sharing beacons
(Bilkent University, 2019-08)Genomic data contains sensitive information about an individual. Family members' genome sequence can be re-constructed with high confidence or individuals' may face discrimination because of predisposition of a disease ... -
Parafac-spark: parallel tensor decompositions on spark
(Bilkent University, 2019-08)Tensors are higher order matrices, widely used in many data science applications and scienti c disciplines. The Canonical Polyadic Decomposition (also known as CPD/PARAFAC) is a widely adopted tensor factorization to ... -
Diverse SNP selection for epistasis test prioritization
(Bilkent University, 2019-08)Genome-wide association studies explain a fraction of the underlying heritability of genetic diseases. Epistatic interactions between two or more loci help closing the gap and identifying those complex interactions ... -
Boosting fully convolutional networks for gland instance segmentation in histopathological images
(Bilkent University, 2019-08)In the current literature, fully convolutional neural networks (FCNs) are the most preferred architectures for dense prediction tasks, including gland segmentation. However, a signi cant challenge is to adequately train ... -
Source-to-source transformation based methodology for graph-parallel FPGA accelerators
(Bilkent University, 2019-08)Graph applications are becoming more and more important with their widespread usage and the amounts of data they deal with. Biological and social web graphs are well-known examples which show the importance of efficient ... -
Privacy-preserving protocols for aggregate location queries via homomorphic encryption and multiparty computation
(Bilkent University, 2019-07)Two main goals of the businesses are to serve their customers better and in the meantime, increase their pro t. One of the ways that businesses can improve their services is using location information of their customers ... -
Multimodal video-based personality recognition using Long Short-Term Memory and convolutional neural networks
(Bilkent University, 2019-07)Personality computing and affective computing, where recognition of personality traits is essential, have gained increasing interest and attention in many research areas recently. The personality traits are described by ... -
GOOWE-ML: a novel online stacked ensemble for multi-label classification in data streams
(Bilkent University, 2019-07)As data streams become more prevalent, the necessity for online algorithms that mine this transient and dynamic data becomes clearer. Multi-label data stream classification is a supervised learning problem where each ... -
Early diagnosis of breakdown through transfer learning
(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
(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 ... -
Deep feature representations and multi-instance multi-label learning of whole slide breast histopathology images
(Bilkent University, 2019-03)The examination of a tissue sample has traditionally involved a pathologist investigating the case under a microscope. Whole slide imaging technology has recently been utilized for the digitization of biopsy slides, ... -
Matrix factorization with stochastic gradient descent for recommender systems
(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 ... -
Reducing processor-memory performance gap and improving network-on-chip throughput
(Bilkent University, 2019-02)Performance of computing systems has tremendously improved over last few decades primarily due to decreasing transistor size and increasing clock rate. Billions of transistors placed on a single chip and switching at ... -
Efficient querying of SBGN maps stored in a graph database
(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 ...
