The quantization of neural networks is essential to meet real-time requirements. Zero-shot quantization is a key approach when training data is unavailable. To the best of our knowledge, zero-shot quantization in the infrared domain has not been explored before. This thesis examines the performance of batch normalization statistics-based zero-shot quantization on models trained with infrared imagery. We fine-tuned models pretrained on RGB images using infrared images and carefully investigated the data generation process to achieve optimal results for YOLOv8 and RetinaNet. Our results demonstrate that zero-shot quantization is more effective in the infrared domain.

Date: 03.09.2024 / 11:00 Place: B-116

This thesis explores efficient pretraining methods for Vision Transformers by integrating progressive layer freezing with local masked image modeling. The study assesses the computational demands and extended training periods typical of self-supervised learning methods for ViTs. Key innovations include implementing the FreezeOut method within the LocalMIM architecture to significantly enhance training efficiency. Experimental results show a reduction in training time by about 12.5% while maintaining competitive accuracy, demonstrating the effectiveness of strategic layer freezing combined with tailored learning rate scheduling. This approach promotes more accessible self-supervised learning on constrained computational resources.

Date: 03.09.2024 / 09:30 Place: B-116

Perimeter security is no longer barrier to access networks and critical data, making traditional security measures outdated. A robust security strategy is crucial to prevent and detect Active Directory (AD) attacks, which can be difficult to detect due to their blend in with normal network traffic. One such attack is the Kerberoasting attack, which exploits weaknesses in the Kerberos authentication protocol. To detect these attacks, supervised machine learning algorithms are being proposed. And also publicly available dataset to measure the efficiency of these algorithms for Kerberoasting attacks was created and shared.

Date: 05.09.2024 / 10:00 Place: II-06

This work investigates the meaning of the perfective/evidential suffix -mIş, focusing on its perfect interpretation. It has been argued that there are two distinct syntactic structures for simple verbal sentences [verb+past] and complex verbal sentences [verb+part+cop+past] (Kornfilt, 1996; Kelepir, 2001). Demirok and Sağ (2023) offer a compositional account for these two structures, taking the temporal relations as the basis. Building on that, we propose an Aktionsart-oriented analysis of the verb-participle relation. We offer a continuation-based compositional account within quantificational event semantics (Champollion, 2015) to reconcile the syntactic account of Kelepir (2001) and observations on the perfect meaning of -mIş.

Date: 06.09.2024 / 15:30 Place: A-212

This thesis aims to identify the factors influencing practitioners' continuance intention toward Agile methodology usage. The study also examines the influence of identified factors on the continuance intention of Agile methodology usage and proposes a model in the context of Agile methodology. The model was verified with the reliability tests, Exploratory Factor Analysis, Confirmatory Factor Analysis, and Structural Equation Modeling. By utilizing Structural Equation Modeling, the influencing factors and the relationships among these factors were analyzed and the final model is proposed.

Date: 05.09.2024 / 09:45 Place: A-108

This thesis explores the identification and prioritization of Critical Success Factors (CSFs) in data analytics projects. Through a systematic literature review and semi-structured interviews with data professionals, a comprehensive list of CSFs was developed, structured hierarchically, and refined based on expert feedback. The study addresses gaps in existing literature by providing a cross-disciplinary CSF framework applicable to various fields like AI, big data, and business intelligence. Additionally, the research prioritizes these factors through the semi-structured interviews based on organizational contexts such as company size, project complexity, and technological maturity.

Date: 05.09.2024 / 11:00 Place: A-212

This thesis presents a method of comparing the cost-effectiveness of 3D mesh simplification algorithms using the McGurk effect, where visual and auditory cues are combined to create an illusion. The study involves designing a human head mesh, animating mouth movements, and recording certain syllable sounds to produce a virtual scene. Using this virtual scene and applying three different mesh simplification algorithms on the animated head, a user study was conducted to test and measure the effectiveness of each algorithm for each different syllable in medium and high difficulty levels. Results highlight the balance between computational efficiency and perceptual accuracy, providing insights for 3D modeling and virtual reality applications.

Date: 04.09.2024 / 10:00 Place: II-06

This thesis explores the use of small to medium-sized language models (LLMs) for multi-hop question answering, focusing on overcoming their limitations in knowledge and reasoning compared to larger models like GPT-4. The research explores using knowledge graphs to enhance these models' performance, specifically by integrating entity-relation triplets extracted from text. Techniques like supervised fine-tuning and reinforcement learning are evaluated for improving entity-relation extraction. A new prompting technique, Connect-the-Entities (CTE), is introduced to improve question answering performance with lower computational costs.

Date: 29.08.2024 / 10:00 Place: A-212

There are two goals of the thesis: (i) to understand the descriptive properties of the so-called negative dependencies in Turkish, which are expressions that basically require the presence of a negative-like element or environment to be well-formed; and (ii) to understand the so-called intervention effects on negative dependencies, where the term refers to the anti-licensing of negative dependencies in an otherwise adequate structure due to the presence of some elements (e.g. conjunction, universal quantifier, etc.).

Date: 06.09.2024 / 14:00 Place: A-212

In the literature, it is widely accepted that there is a direct relationship between the aspectual interpretation of the predicate and the internal argument of the verb. For languages such as Turkish and Finnish, it is argued that the accusative case marker on the direct object functions as a measurer and elicits a delimited event interpretation. However, in this thesis, we will argue that the correlation between the accusative case and the delimited interpretation of events is not a result of the supposed direct relationship between case and aspect, and show that the said relationship is only indirect following MacDonald’s (2006) work. 

Date: 06.09.2024 / 12:00 Place: A-212