Searched for: subject%3A%22Search%22
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Draws, T.A. (author)
doctoral thesis 2023
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Mo, Tianyu (author)
ChatGPT, a cutting-edge technology based on LLM, demonstrated great potential in search tasks. While the importance and potential of ChatGPT are growing, the gap in the understanding of how users interact and engage in ChatGPT search remains open. Past research has extensively examined traditional information search, but there is a need for...
master thesis 2023
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Tatabitovska, Ana (author)
Maximum Satisfiability (MaxSAT) is a known problem within the optimization field which has led many different solving approaches to be devised in the last several decades. From Linear Search to unsatisfiable core-based solvers, many MaxSAT algorithms rely on cardinality constraints to express how many soft clauses can be violated at most....
master thesis 2023
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Lin, Longfei (author)
Software testing, a critical phase in the software development lifecycle, is often hindered by the time-intensive and costly manual creation of test cases. While automating test case generation could mitigate these challenges, its adoption in the industry has been limited due to difficulties in comprehending the generated test cases. To address...
master thesis 2023
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Barokas Profeta, Doruk (author)
The rise of streaming and video technologies has underscored the significance of efficient access and navigation of digital content, particularly for scholars in fields like history and art. Scholars actively seek streamlined approaches to index, retrieve, and explore digital content, with a focus on locating specific instances. The process of...
master thesis 2023
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Dushatskiy, A. (author)
Recently great achievements have been obtained with Artificial Intelligence (AI) methods including human-level performance in such challenging areas as image processing, natural language processing, computational biology, and game playing. Arguably, one of the most societally important application fields of such methods is healthcare. <br/>AI is...
doctoral thesis 2023
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Markhorst, Thomas (author)
In this paper, we combine image denoising and classification, aiming to enhance human perception of noisy images captured by edge devices, like security cameras. Since edge devices have little computational power, we also optimize for efficiency by proposing a novel architecture that integrates the two tasks. Additionally, we alter a Neural...
master thesis 2023
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Li, Sinian (author)
The advent of streaming and video has sparked a revolutionary shift in the presentation of materials across various fields, such as history, art, and media copyright protection. In this context, scholars and rights holders are seeking efficient solutions to index, retrieve, and browse through digital content searching for a specific instance....
master thesis 2023
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Hu, T. (author)
This research explores the integration of Neural Architecture Search with Optical Neural Networks to optimize the efficiency and performance in traditional visual image classification tasks. The study introduces a new approach that applies Neural Architecture Search, a technique traditionally used to optimize the performance of Artificial Neural...
master thesis 2023
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Bredius, Frank (author)
Searching the web on debated topics, which are issues under active discussion and where individual opinions diverge, can be highly challenging. It requires users to approach their queries objectively, browse many resources, and accept a certain level of uncertainty, even if it conflicts with personal values. In particular, confirmation bias, the...
master thesis 2023
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Li, Erwin (author)
Software testing is an important but time-consuming task, making automatic test case generation an appealing solution. The current state-of-the-art algorithm for test case generation is DynaMOSA, which is an improvement of NSGA-II that applies domain knowledge to make it more suitable for test case generation. Although these enhancements are...
bachelor thesis 2023
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Viero, Diego (author)
In recent decades, automatic test generation has advanced significantly, providing developers with time-saving benefits and facilitating software debugging. While most research in this field focused on search-based test generation tools for statically-typed languages, only a few have been adapted for dynamically-typed languages. The larger...
bachelor thesis 2023
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Lejeune, Rémi (author)
This paper investigates the performance of the A* algorithm in the field of automated machine learning using program synthesis. We designed a context-free grammar to create machine learning pipelines and came up with a cost function for A*. Two different experiments were done, the first one to tune the parameters of our algorithm and the second...
bachelor thesis 2023
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Filius, Bas (author)
Machine learning pipelines encompass various sequential steps involved in tasks such as data extraction, preprocessing, model training, and deployment. Manual construction of these pipelines demands expert knowledge and can be time-consuming. To address this challenge, program synthesis offers an automated approach to generate computer programs...
bachelor thesis 2023
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Rado, Karlo (author)
A key challenge for SaR robotics is to avoid dynamic obstacles in cluttered environments, with limited and noisy information. In this research, a controller for SaR robots is developed by coupling a local heuristic motion planner with a model predictive control (MPC) based trajectory tracker. Constraint tightening and tube-based control are used...
master thesis 2023
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Cong, Shijie (author)
Autonomous robots have been widely applied to search and rescue missions for information gathering about target locations. This process needs to be continuously replanned based on new observations in the environment. For dynamic targets, the robot needs to not only discover them but also keep tracking their positions. Previous works focus on...
master thesis 2023
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Penha, G. (author)
Conversational search is a sub-field of Information Retrieval (IR) that focuses on solving information needs through natural language conversations. Searching for information is an inherently interactive task, and conversations offer a promising solution. One that might change the current search paradigm. In this thesis, we focus on retrieval...
doctoral thesis 2023
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Kulane, Suleiman (author)
Search engines are used to gather and collect information. This interaction sometimes influences the user and changes their attitude towards a topic after such interaction. Prior work has shown that it is a complex endeavour to understand attitude change, as there are many things that can influence a user during a search session. One of the...
master thesis 2023
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van Dobben de Bruyn, J. (author)
doctoral thesis 2023
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van den Berg, Rob (author)
The problem of finding a target and forming a path to it is known and is well-explored in the field of swarm robotics. Using swarm intelligence, even swarms of simple robots are capable of solving this problem. However, often these works assume that two robots can perceive each other can physically reach each other, or that robots can detect any...
master thesis 2023
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