Theses - Department of Computer Engineering
Faculty of Engineering
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Past, present, and future on news streams: discovering story chains, selecting public front-pages, and filtering microblogs for predicting public reactions to news
(Bilkent University, 2017-09)News streams have several research opportunities for the past, present, and future of events. The past hides relations among events and actors; the present re ects needs of news readers; and the future waits to be ... -
Linear planning logic and linear logic graph planner: domain independent task planners based on linear logic
(Bilkent University, 2017-10)Linear Logic is a non-monotonic logic, with semantics that enforce single-use assumptions thereby allowing native and e cient encoding of domains with dynamic state. Robotic task planning is an important example for such ... -
Learning from real-life experiences: a data-driven emotion contagion approach towards realistic virtual crowds
(Bilkent University, 2017-10)We propose a data-driven approach for tuning, validating and optimizing crowd simulations by learning parameters from real-life videos. We discuss the common traits of incidents and their video footages suitable for the ... -
Reducing coherency traffic volume in chip multiprocessors through pointer analysis
(Bilkent University, 2017-09)With increasing number of cores in chip multiprocessors (CMPs), it gets more challenging to provide cache coherency efficiently. Although snooping based protocols are appropriate solutions to small scale systems, they ... -
Privacy-preserving collaborative analytics of location data
(Bilkent University, 2017-09)Deriving meaningful insights from location data helps businesses make better decisions. While businesses must know the locations of their customers to perform location analytics, most businesses do not have this valuable ... -
A privacy-preserving solution for storage and processing of personal health records against brute-force attacks
(Bilkent University, 2017-09)There is a crucial need for protecting patient's sensitive information, such as personal health record (PHR), from unauthorized users due to the increase in demands of electronic health records. Even though cryptography ... -
Recursive bipartitioning models for performance improvement in sparse matrix computations
(Bilkent University, 2017-09)Sparse matrix computations are among the most important building blocks of linear algebra and arise in many scienti c and engineering problems. Depending on the problem type, these computations may be in the form of ... -
Parallel direct and hybrid methods based on row block partitioning for solving sparse linear systems
(Bilkent University, 2017-08)Solving system of linear equations is a kernel operation in many scienti c and industrial applications. These applications usually give rise to linear systems in which the coe cient matrix is very large and sparse. The ... -
Enhancing feature selection with contextual relatedness filtering using Wikipedia
(Bilkent University, 2017-08)Feature selection is an important component of information retrieval and natural language processing applications. It is used to extract distinguishing terms for a group of documents; such terms, for example, can be used ... -
On the numerical analysis of infinite multi-dimensional Markov chains
(Bilkent University, 2017-08)A system with multiple interacting subsystems that exhibits the Markov property can be represented as a multi-dimensional Markov chain (MC). Usually the reachable state space of this MC is a proper subset of its product ... -
Communication models for crowd simulation
(Bilkent University, 2017-08)Modeling and animation of behaviorally plausible virtual crowds are important problems of crowd simulation research. We propose a communication model in order to equip virtual agents with the ability to autonomously ... -
Cluster labeling improvement by utilizing data fusion and Wikipedia
(Bilkent University, 2017-08)A cluster is a set of related documents. Cluster labeling is the process of assigning descriptive labels to clusters. This study investigates several cluster labeling approaches and presents novel methods. The rst uses ... -
A privacy-preserving solution for the bipartite ranking problem on spark framework
(Bilkent University, 2017-08)The bipartite ranking problem is defined as finding a function that ranks positive instances in a dataset higher than the negative ones. Financial and medical domains are some of the common application areas of the ranking ... -
Privacy-preserving data sharing and utilization between entities
(Bilkent University, 2017-08)In this thesis, we aim to enable privacy-preserving data sharing between entities and propose two systems for this purpose: (i) a veri able computation scheme that enables privacy-preserving similarity computation in the ... -
Identification of cancer patient subgroups via pathway based multi-view graph kernel clustering
(Bilkent University, 2017-08)Characterizing patient genomic alterations through next-generation sequencing technologies opens up new opportunities for re ning cancer subtypes. Di erent omics data provide di erent views into the molecular biology of ... -
Libraries and tools for viewing and editing biological maps in SBGN
(Bilkent University, 2017-08)Information about cellular processes and pathways is becoming increasingly available in detailed, computable standard formats including Systems Biology Graphical Notation (SBGN). E ective visualization of this information ... -
Data analytics for alarm management systems
(Bilkent University, 2017-04)Mobile network operators run Operations Support Systems (OSS) that produce vast amounts of alarm events. These events can have different significance levels, domains, and also can trigger other ones. Network Operators face ... -
Characterization of short tandem repeats using local assembly
(Bilkent University, 2017-03)Tandem repeats are pieces of DNA where a pattern has multiple consecutive copies adjacent to itself. If the repeat unit (pattern) consists of 2 to 6 nucleotides, it can be referred to as a short tandem repeat or a ... -
A utility maximizing and privacy preserving approach for protecting kinship in genomic databases
(Bilkent University, 2017-03)Rapid and low cost sequencing of genomic data enables widespread use of genomic information in research studies and personalized customer applications, where people share their genomic data in public databases. Although ... -
Object detection using optical and lidar data fusion with graph-cuts
(Bilkent University, 2017-03)Object detection in remotely sensed data has been a popular problem and is commonly used in a wide range of applications in domains such as agriculture, navigation, environmental management, urban monitoring and mapping. ...
