Graduate School of Informatics, Thesis

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Thesis (827)

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Author
Akkoyun, Emrah (2)
Alkan, Sarper (2)
Alkış, Nurcan (2)
Altınışık, Said (2)
Arpacı, İbrahim (2)

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Engineering and Technology (69)
Computer software (33)
Computer software. (33)
Social Sciences and Humanities (29)
Mobile communication systems. (27)

Date Issued
1998 - 1999 (3)
2000 - 2009 (206)
2010 - 2019 (495)
2020 - 2022 (123)

Item Type
Master Thesis (639)
Ph.D. Thesis (188)

Recent Submissions

AUTOMATED VIDEO GAME TESTING USING REINFORCEMENT LEARNING AGENTS Arıyürek, Sinan; Sürer, Elif; Betin Can, Aysu; Department of Bioinformatics (2022-9-21) In this thesis, several methodologies are introduced to automate and improve video game playtesting. These methods are based on Reinforcement Learning (RL) agents. First, synthetic and human-like tester agents are proposed...
ACTIVE LEARNING BASED SYNTHETIC SAMPLE SELECTION FOR ENDOSCOPIC IMAGE CLASSIFICATION İnci, Alperen; Temizel, Alptekin; Department of Modeling and Simulation (2022-9-2) Many people suffer from Ulcerative Colitis (UC), which is a chronic inflammatory bowel disease. UC exhibits itself as ulcers, inflammation, and sores in the colon. In order to provide proper treatment, an expert physician ...
DETECTION OF ANOMALOUS FUND TRANSFERS BETWEEN DIFFERENT BANKS Tunçay, Abdullah Mert; Akagündüz, Erdem; Department of Modeling and Simulation (2022-9-02) There are various risks associated with fund transfers between banks, including frauds and abuse of the banking system. Any anomaly in a fund transfer network must be detected and learned, since unexpected messages or tran...
RANKPCSF: A DISEASE MODULE IDENTIFICATION METHOD BY INTEGRATING NETWORK PROPAGATION WITH PRIZE-COLLECTING STEINER FOREST Eskin, Arda; Otlu Sarıtaş, Burçak; Tunçbağ, Nurcan; Department of Bioinformatics (2022-9-2) Identification of disease modules may lead to a better understanding on the progression of diseases, finding more accurate biomarkers, and drug targets. In this study, we develop a hybrid method – RANKPCSF- combining the s...
DESIGN, DEVELOPMENT AND USABILITY OF A LOCATION-BASED GAME Badali Naghadeh, Faraz; Çağıltay, Kürşat; Department of Modeling and Simulation (2022-9-02) Location-based games (LBG) have been created with the aim of blending reality with the virtual world. At its core, LBGs utilize user location as the main element since they can be played almost anywhere. The LBGs have been...
A NEW FRAMEWORK TO DESIGN AND GENERATE VIRTUAL LABORATORIES FOR CIVIL ENGINEERING Yücel, Furkan; Sürer, Elif; Huvaj Sarıhan, Nejan; Department of Modeling and Simulation (2022-9-1) For years, practicing the theoretical parts in a laboratory has played a substantial role in the engineering education system. Building a laboratory for most engineering departments has a cost that many universities might ...
Inter-brain synchronization patterns of cooperation in the prefrontal cortex during the Stag Hunt game via fNIRS hyperscanning Küskü, Mert; Çakır, Murat Perit; Küçükşenel, Serkan; Department of Cognitive Sciences (2022-9-1) Cooperation in various tasks has been shown to increase synchronization between people's prefrontal cortices. In game theory, the Stag Hunt game is utilized as a model for social cooperation in the face of strategic uncert...
Genetic History of Anatolia during Holocene Koptekin, Dilek; Somel, Mehmet; Department of Medical Informatics (2022-9-1) Anatolia has been a key region in Eurasian history, acting as a bridge for cultural exchanges between Europe and Asia during the Holocene. However, the demographic transformation of Anatolian and neighbouring populations d...
Keystroke transcription from acoustic emanations using continuous wavelet transform Özkan, Abdullah; Günel Kılıç, Banu; Acartürk, Cengiz; Department of Cybersecurity (2022-9) One of the most common methods of communication is written communication. Written communication has been found in various forms over the years and has changed shape with technical and technological developments. Today, wri...
A comparison of deep neural network architectures for COVID-19 detection using CT chest images Sarıoğlu, Mehmet Tunahan; Mumcuoğlu, Ünal Erkan; Department of Medical Informatics (2022-9) Coronavirus Disease 2019 (COVID-19) has rapidly spread around the world since December 2019. Due to the low confidence in the real-time reverse transcription-polymerase chain reaction (RT-PCR) test, which is considered the...
INTEGRATION OF MACHINE LEARNING AND ENTROPY METHODS FOR POST-GENOME-WIDE ASSOCIATION STUDIES ANALYSIS Yaldız, Burcu; Aydın Son, Yeşim; Department of Medical Informatics (2022-8-31) Non-linear relationships between genotypes play an essential role in understanding the genetic interactions of complex disease traits. Genome-Wide Association Studies (GWAS) have revealed a statistical association between ...
Interaction of Spatial Configurations and Language: An Experimental Inquiry Yılmaz, Naz Buse; Çakır, Murat Perit; Acartürk, Cengiz; Department of Cognitive Sciences (2022-8-31) The perception and description of space are one of the most fundamental phenomena in human cognition and evolution. Knowing where we are and telling allies about it is vital information from an evolutionary perspective. Th...
Semantic dimensionality reduction during language acquisition: A window into concept representation Özcan, Rojda; Bozşahin, Hüseyin Cem; Department of Cognitive Sciences (2022-8-31) We explore the dimensionality in the semantic representations derived from the Eve fragment of the CHILDES database to gain insights into whether or not semantic dimensionality reduc- tion (DR) occurs during language acqui...
ARTIFICIAL LEARNING-BASED ANALYSIS OF MOLECULAR, CLINICAL TRIALS AND PATENT DATA FOR IMPROVED DRUG DEVELOPMENT Çıray, Fulya; Aydın Son, Yeşim; Doğan, Tunca; Department of Medical Informatics (2022-8-31) Drug development is a costly process, especially in terms of the required time and money. Many promising drug candidates are eliminated at late development stages, e.g., phase II or III of clinical trials, due to insuffici...
Nominalization and Argument Structure: An Experiment with the NOMLEX Database Kızıldemir, Melis; Bozşahin, Hüseyin Cem; Department of Cognitive Sciences (2022-8-31) This study presents a method for predicting syntactic structures of deverbal event nominals that are derived from verbs used in their transitive meaning. The study takes a data-driven approach and fine-tunes pre-trained de...
Shared decision making: a serious game based on OSCE for clinicians Sülün, Ahmet; Yet, Barbaros; Department of Cognitive Sciences (2022-8-31) Shared decision making(SDM) is an essential process to improve outcomes and reflect patient views in medical consultation. In SDM, the treatment that patient will take is a decision reached by the participation of both the...
CROSS-LEVEL TYPING THE LOGICAL FORM FOR OPEN-DOMAIN SEMANTIC PARSING Öztürel, İsmet Adnan; Bozşahin, Cem; Department of Cognitive Sciences (2022-8-29) This thesis presents a novel approach to assigning types to expressive Discourse Representation Structure (DRS) meaning representations. In terms of linguistic analysis, our typing methodology couples together the represen...
AN INVESTIGATION OF CONDITIONAL PRESUPPOSITIONS IN TURKISH Çağırıcı, Ecenur; Özge, Duygu; Temürcü, Ceyhan; Department of Cognitive Sciences (2022-8-26) Presuppositions embedded in the consequent of a conditional sometimes project as conditional presuppositions. In this thesis, two experiments were conducted to investigate conditional presuppositions in a probabilistic fra...
AUGMENTING A TURKISH DATASET FOR SPAM FILTERING USING NATURAL LANGUAGE PROCESSING TECHNIQUES AKSOY, AYŞENUR; Günel Kılıç, Banu; Acartürk, Cengiz; Department of Cybersecurity (2022-8-25) Today, how we communicate is altering as a consequence of the evolution of the internet. Since one of the main communication ways of the internet is e-mail systems and they are easy to use, cheap and fast, and have a wide ...
Human presence detection in emergency situations using deep learning based audio-visual systems Geneci, İzlen; Günel Kılıç, Banu; Bozşahin, Hüseyin Cem; Department of Cognitive Sciences (2022-8-24) The significance of emergency event detection in surveillance systems has drawn the attention of researchers in recent years. Existing methods mostly depend on visual data to identify any abnormal events since only visual ...

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